ELLIS Contributions to NeurIPS 2022
The NeurIPS conference - this year starting on 28 November - is one of the major yearly events for the world's AI and machine learning community.
Out of all papers submitted, more than 400 are coming from ELLIS members this year. The list below gives an overview of these papers and highlights the ELLIS members among the authors in bold.
List of NeurIPS 2022 Papers
Paper Title | List of authors (ELLIS members in bold) | Link |
FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Settings | Jean Ogier Du Terrail,Samy-Safwan Ayed,Edwige Cyffers,Felix Grimberg,Chaoyang He,Regis Loeb,Paul Mangold,Tanguy Marchand,Othmane Marfoq,Erum Mushtaq,Boris Muzellec, Constantin Philippenko,Santiago Silva,Maria Teleńczuk,Shadi Albarqouni,Salman Avestimehr,Aurélien Bellet,Aymeric Dieuleveut,Martin Jaggi,Sai Praneeth Karimireddy,Marco Lorenzi, Giovanni Neglia,Marc Tommasi,Mathieu Andreux | |
Functional Ensemble Distillation | Coby Penso,Idan Achituve,Ethan Fetaya | |
Egocentric Video-Language Pretraining | Kevin Qinghong Lin,Jinpeng Wang,Mattia Soldan,Michael Wray,Rui Yan,Eric Z. Xu,Denial Gao,Rong-Cheng Tu,Wenzhe Zhao,Weijie Kong,Chengfei Cai,Wang Hongfa,Dima Damen,Bernard Ghanem,Wei Liu,Mike Zheng Shou | |
Neural Shape Deformation Priors | Jiapeng Tang,Lev Markhasin,Bi Wang,Justus Thies,Matthias Niessner | |
What Makes Graph Neural Networks Miscalibrated? | Hans Hao-Hsun Hsu,Yuesong Shen,Christian Tomani,Daniel Cremers | |
FedSR: A Simple and Effective Domain Generalization Method for Federated Learning | A. Tuan Nguyen,Ser Nam Lim,Philip Torr | |
Robust Anytime Learning of Markov Decision Processes | Marnix Suilen,Thiago Simão,Nils Jansen,David Parker | |
Interpolation and Regularization for Causal Learning | Leena Chennuru Vankadara,Luca Rendsburg,Ulrike Luxburg,Debarghya Ghoshdastidar | |
Graph Neural Networks are Dynamic Programmers | Andrew J Dudzik,Petar Veličković | |
Assaying Out-Of-Distribution Generalization in Transfer Learning | Florian Wenzel,Andrea Dittadi,Peter Gehler,Carl-Johann Simon-Gabriel,Max Horn,Dominik Zietlow,David Kernert,Chris Russell,Thomas Brox,Bernt Schiele,Bernhard Schölkopf,Francesco Locatello | |
MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields | Ilyes Batatia,David P Kovacs,Gregor Simm,Christoph Ortner,Gabor Csanyi | |
Implicit Neural Representations with Levels-of-Experts | Zekun Hao,Arun Mallya,Serge Belongie,Ming-Yu Liu | |
FedPop: A Bayesian Approach for Personalised Federated Learning | Nikita Kotelevskii,Maxime Vono,Alain Durmus,Eric Moulines | |
Active Exploration for Inverse Reinforcement Learning | David Lindner,Andreas Krause,Giorgia Ramponi | |
Off-Policy Evaluation with Deficient Support Using Side Information | Nicolo' Felicioni,Maurizio Ferrari Dacrema,Marcello Restelli,Paolo Cremonesi | |
Conditional Independence Testing with Heteroskedastic Data and Applications to Causal Discovery | Wiebke Günther,Urmi Ninad,Jonas Wahl,Jakob Runge | |
On Margins and Generalisation for Voting Classifiers | Felix Biggs,Valentina Zantedeschi,Benjamin Guedj | |
Multi-Class $H$-Consistency Bounds | Pranjal Awasthi,Anqi Mao,Mehryar Mohri,Yutao Zhong | |
Sharp Analysis of Stochastic Optimization under Global Kurdyka-Lojasiewicz Inequality | Jalal Etesami,Ilyas Fatkhullin,Niao He,Negar Kiyavash | |
A Regret-Variance Trade-Off in Online Learning | Dirk Van Der Hoeven,Nikita Zhivotovskiy,Nicolò Cesa-Bianchi | |
Rethinking the compositionality of point clouds through regularization in the hyperbolic space | Antonio Montanaro,Diego Valsesia,Enrico Magli | |
Computationally Efficient Aggregated Kernel Tests using Incomplete $U$-statistics | Antonin Schrab,Ilmun Kim,Benjamin Guedj,Arthur Gretton | |
Language Conditioned Spatial Relation Reasoning for 3D Object Grounding | Shizhe Chen,Pierre-Louis Guhur,Makarand Tapaswi,Cordelia Schmid,Ivan Laptev | |
Neural Attentive Circuits | Martin Weiss,Nasim Rahaman,Francesco Locatello,Chris Pal,Yoshua Bengio,Bernhard Schölkopf,Li Erran Li,Nicolas Ballas | |
So3krates - Self-attention for higher-order geometric interactions on arbitrary length-scales | Thorben Frank,Oliver Unke,Klaus-Robert Müller | |
Beyond spectral gap: the role of the topology in decentralized learning | Thijs Vogels,Hadrien Hendrikx,Martin Jaggi | |
Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations | Ivan Marisca,Andrea Cini,Cesare Alippi | |
Interventions, Where and How? Bayesian Active Causal Discovery at Scale | Panagiotis Tigas,Yashas Annadani,Andrew Jesson,Bernhard Schölkopf,Yarin Gal,Stefan Bauer | |
Variational inference via Wasserstein gradient flows | Marc Lambert,Sinho Chewi,Francis Bach,Silvère Bonnabel,Philippe Rigollet | |
A Survey and Datasheet Repository of Publicly Available US Criminal Justice Datasets | Miri Zilka,Bradley Butcher,Adrian Weller | |
TAP-Vid: A Benchmark for Tracking Any Point in a Video | Carl Doersch,Ankush Gupta,Larisa Markeeva,Adria Recasens,Lucas Smaira,Yusuf Aytar,Joao Carreira,Andrew Zisserman,Yi Yang | |
Probable Domain Generalization via Quantile Risk Minimization | Cian Eastwood,Alexander Robey,Shashank Singh,Julius Von Kügelgen,Hamed Hassani,George J. Pappas,Bernhard Schölkopf | |
Variational Model Perturbation for Source-Free Domain Adaptation | Mengmeng Jing,Xiantong Zhen,Jingjing Li,Cees Snoek | |
Posterior and Computational Uncertainty in Gaussian Processes | Jonathan Wenger,Geoff Pleiss,Marvin Pförtner,Philipp Hennig,John Cunningham | |
Learning Structure from the Ground up---Hierarchical Representation Learning by Chunking | Shuchen Wu,Noemi Elteto,Ishita Dasgupta,Eric Schulz | |
Template based Graph Neural Network with Optimal Transport Distances | Cédric Vincent-Cuaz,Rémi Flamary,Marco Corneli,Titouan Vayer,Nicolas Courty | |
Active Bayesian Causal Inference | Christian Toth,Lars Lorch,Christian Knoll,Andreas Krause,Franz Pernkopf,Robert Peharz,Julius Von Kügelgen | |
Explaining Preferences with Shapley Values | Robert Hu,Siu Lun Chau,Jaime Ferrando Huertas,Dino Sejdinovic | |
Exploring through Random Curiosity with General Value Functions | Aditya Ramesh,Louis Kirsch,Sjoerd Van Steenkiste,Jürgen Schmidhuber | |
Sequential Information Design: Learning to Persuade in the Dark | Martino Bernasconi,Matteo Castiglioni,Alberto Marchesi,Nicola Gatti,Francesco Trovò | |
Identifiability and generalizability from multiple experts in Inverse Reinforcement Learning | Paul Rolland,Luca Viano,Norman Schürhoff,Boris Nikolov,Volkan Cevher | |
Distributed Influence-Augmented Local Simulators for Parallel MARL in Large Networked Systems | Miguel Suau De Castro,Jinke He,Mustafa Mert Çelikok,Matthijs Spaan,Frans Oliehoek | |
On the Importance of Gradient Norm in PAC-Bayesian Bounds | Itai Gat,Yossi Adi,Alex Schwing,Tamir Hazan | |
I2DFormer: Learning Image to Document Attention for Zero-Shot Image Classification | Muhammad Ferjad Naeem,Yongqin Xian,Luc V Gool,Federico Tombari | |
MEMO: Test Time Robustness via Adaptation and Augmentation | Marvin Zhang,Sergey Levine,Chelsea Finn | |
Split-kl and PAC-Bayes-split-kl Inequalities | Yi-Shan Wu,Yevgeny Seldin | |
Data Distributional Properties Drive Emergent In-Context Learning in Transformers | Stephanie Chan,Adam Santoro,Andrew Lampinen,Jane Wang,Aaditya Singh,Pierre Richemond,James Mcclelland,Felix Hill | |
Supervised Training of Conditional Monge Maps | Charlotte Bunne,Andreas Krause,Marco Cuturi | |
Active Labeling: Streaming Stochastic Gradients | Vivien Cabannes,Francis Bach,Vianney Perchet,Alessandro Rudi | |
RAMBO-RL: Robust Adversarial Model-Based Offline Reinforcement Learning | Marc Rigter,Bruno Lacerda,Nick Hawes | |
Deconfounded Representation Similarity for Comparison of Neural Networks | Tianyu Cui,Yogesh Kumar,Pekka Marttinen,Samuel Kaski | |
Poisson Field Generative Models | Yilun Xu,Ziming Liu,Max Tegmark,Tommi Jaakkola | |
Structural Knowledge Distillation for Object Detection | Philip De Rijk,Lukas Schneider,Marius Cordts,Dariu Gavrila | |
Multi-layer State Evolution Under Random Convolutional Design | Max Daniels,Cedric Gerbelot,Florent Krzakala,Lenka Zdeborová | |
On the detrimental effect of invariances in the likelihood for variational inference | Richard Kurle,Ralf Herbrich,Tim Januschowski,Yuyang (Bernie) Wang,Jan Gasthaus | |
On Analyzing Generative and Denoising Capabilities of Diffusion-based Deep Generative Models | Kamil Deja,Anna Kuzina,Tomasz Trzcinski,Jakub Tomczak | |
Fair Wrapping for Black-box Predictions | Alexander Soen,Ibrahim Alabdulmohsin,Sanmi Koyejo,Yishay Mansour,Nyalleng Moorosi,Richard Nock,Ke Sun,Lexing Xie | |
Exploration via Elliptical Episodic Bonuses | Mikael Henaff,Roberta Raileanu,Minqi Jiang,Tim Rocktäschel | |
Disentangling Transfer in Continual Reinforcement Learning | Maciej Wolczyk,Michał Zając,Razvan Pascanu,Łukasz Kuciński,Piotr Miłoś | |
A gradient estimator via L1-randomization for online zero-order optimization with two point feedback | Arya Akhavan,Evgenii Chzhen,Massimiliano Pontil,Alexandre Tsybakov | |
Near-Optimal Multi-Agent Learning for Safe Coverage Control | Manish Prajapat,Matteo Turchetta,Melanie Zeilinger,Andreas Krause | |
Maximum Class Separation as Inductive Bias in One Matrix | Tejaswi Kasarla,Gertjan Burghouts,Max Van Spengler,Elise Van Der Pol,Rita Cucchiara,Pascal Mettes | |
Near-Optimal Sample Complexity Bounds for Constrained MDPs | Sharan Vaswani,Lin Yang,Csaba Szepesvari | |
Symmetry-induced Disentanglement on Graphs | Giangiacomo Mercatali,Andre Freitas,Vikas Garg | |
OpenFilter: A Framework to Democratize Research Access to Social Media AR Filters | Piera Riccio,Bill Psomas,Francesco Galati,Francisco Escolano,Thomas Hofmann,Nuria Oliver | |
Local Latent Space Bayesian Optimization over Structured Inputs | Natalie Maus,Haydn Jones,Juston Moore,Matt Kusner,John Bradshaw,Jacob Gardner | |
Theory and Approximate Solvers for Branched Optimal Transport with Multiple Sources | Peter Lippmann,Enrique Fita Sanmartín,Fred Hamprecht | |
MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstruction | Zehao Yu,Songyou Peng,Michael Niemeyer,Torsten Sattler,Andreas Geiger | |
Towards Learning Universal Hyperparameter Optimizers with Transformers | Yutian Chen,Xingyou Song,Chansoo Lee,Zi Wang,Richard Zhang,David Dohan,Kazuya Kawakami,Greg Kochanski,Arnaud Doucet,Marc'aurelio Ranzato,Sagi Perel,Nando De Freitas | |
Learning Options via Compression | Yiding Jiang,Evan Liu,Benjamin Eysenbach,J. Zico Kolter,Chelsea Finn | |
Movement Penalized Bayesian Optimization with Application to Wind Energy Systems | Shyam Sundhar Ramesh,Pier Giuseppe Sessa,Andreas Krause,Ilija Bogunovic | |
Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation | Shiqi Yang,Yaxing Wang,Kai Wang,Shangling Jui,Joost Van De Weijer | |
Robust Models are less Over-Confident | Julia Grabinski,Paul Gavrikov,Janis Keuper,Margret Keuper | |
Learning to Configure Computer Networks with Neural Algorithmic Reasoning | Luca Beurer-Kellner,Martin Vechev,Laurent Vanbever,Petar Veličković | |
Invariance-Aware Randomized Smoothing Certificates | Jan Schuchardt,Stephan Günnemann | |
Modular Flows: Differential Molecular Generation | Yogesh Verma,Samuel Kaski,Markus Heinonen,Vikas Garg | |
Distilling Representations from GAN Generator via Squeeze and Span | Yu Yang,Xiaotian Cheng,Chang Liu,Hakan Bilen,Xiangyang Ji | |
Benchmarking Heterogeneous Treatment Effect Models through the Lens of Interpretability | Jonathan Crabbé,Alicia Curth,Ioana Bica,Mihaela Van Der Schaar | |
Unsupervised Learning of Group Invariant and Equivariant Representations | Robin Winter,Marco Bertolini,Tuan Le,Frank Noe,Djork-Arné Clevert | |
Autoregressive Search Engines: Generating Substrings as Document Identifiers | Michele Bevilacqua,Giuseppe Ottaviano,Patrick Lewis,Scott Yih,Sebastian Riedel,Fabio Petroni | |
Listen to Interpret: Post-hoc Interpretability for Audio Networks with NMF | Jayneel Parekh,Sanjeel Parekh,Pavlo Mozharovskyi,Florence D'Alché-Buc,Gaël Richard | |
KSD Aggregated Goodness-of-fit Test | Antonin Schrab,Benjamin Guedj,Arthur Gretton | |
FlowHMM: Flow-based continuous hidden Markov models | Pawel Lorek,Rafal Nowak,Tomasz Trzcinski,Maciej Zieba | |
Learning General World Models in a Handful of Reward-Free Deployments | Jack Parker-Holder,Yingchen Xu,Philip Ball,Aldo Pacchiano,Oleh Rybkin,S Roberts,Tim Rocktäschel,Edward Grefenstette | |
EPIC-KITCHENS VISOR Benchmark: VIdeo Segmentations and Object Relations | Ahmad Darkhalil,Dandan Shan,Bin Zhu,Jian Ma,Amlan Kar,Richard Higgins,Sanja Fidler,David Fouhey,Dima Damen | |
Wavelet Score-Based Generative Modeling | Florentin Guth,Simon Coste,Valentin De Bortoli,Stephane Mallat | |
A Consistent, Scalable, and Differentiable Lp Canonical Calibration Error Estimator | Teodora Popordanoska,Raphael Sayer,Matthew Blaschko | |
Recurrent Video Restoration Transformer with Guided Deformable Attention | Jingyun Liang,Yuchen Fan,Xiaoyu Xiang,Rakesh Ranjan,Eddy Ilg,Simon Green,Jiezhang Cao,Kai Zhang,Radu Timofte,Luc V Gool | |
Invariance Learning in Deep Neural Networks with Differentiable Laplace Approximations | Alexander Immer,Tycho van der Ouderaa,Gunnar Rätsch,Vincent Fortuin,Mark Van Der Wilk | |
No-regret learning in games with noisy feedback: Faster rates and adaptivity via learning rate separation | Yu-Guan Hsieh,Kimon Antonakopoulos,Volkan Cevher,Panayotis Mertikopoulos | |
On the Effectiveness of Lipschitz-Driven Rehearsal in Continual Learning | Lorenzo Bonicelli,Matteo Boschini,Angelo Porrello,Concetto Spampinato,Simone Calderara | |
Learning interacting dynamical systems with latent Gaussian process ODEs | Çağatay Yıldız,Melih Kandemir,Barbara Rakitsch | |
Factored Adaptation for Non-Stationary Reinforcement Learning | Fan Feng,Biwei Huang,Kun Zhang,Sara Magliacane | |
Stochastic Second-Order Methods Provably Beat SGD For Gradient-Dominated Functions | Mohammadsaeed Masiha,Saber Salehkaleybar,Niao He,Negar Kiyavash,Patrick Thiran | |
Rule-Based but Flexible? Evaluating and Improving Language Models as Accounts of Human Moral Judgment | Zhijing Jin,Sydney Levine,Fernando Gonzalez Adauto,Ojasv Kamal,Maarten Sap,Mrinmaya Sachan,Rada Mihalcea,Josh Tenenbaum,Bernhard Schölkopf | |
Neural Differential Equations for Learning to Program Neural Nets Through Continuous Learning Rules | Kazuki Irie,Francesco Faccio,Jürgen Schmidhuber | |
Decentralized Local Stochastic Extra-Gradient for Variational Inequalities | Aleksandr Beznosikov,Pavel Dvurechenskii,Anastasiia Koloskova,Valentin Samokhin,Sebastian Stich,Alexander Gasnikov | |
Ordered Subgraph Aggregation Networks | Chendi Qian,Gaurav Rattan,Floris Geerts,Mathias Niepert,Christopher Morris | |
Semi-Supervised Learning with Decision Trees: Graph Laplacian Tree Alternating Optimization | Arman Zharmagambetov,Miguel A. Carreira-Perpinan | |
Concept Embedding Models | Mateo Espinosa Zarlenga,Pietro Barbiero,Gabriele Ciravegna,Giuseppe Marra,Francesco Giannini,Michelangelo Diligenti,Zohreh Shams,Frederic Precioso,Stefano Melacci,Adrian Weller,Pietro Lió,Mateja Jamnik | |
Relational Proxies: Emergent Relationships as Fine-Grained Discriminators | Abhra Chaudhuri,Anjan Dutta,Massimiliano Mancini,Zeynep Akata | |
mixReg: A Simple Way to Improve Generalization in Regression for Deep Neural Networks | Huaxiu Yao,Yiping Wang,Linjun Zhang,James Zou,Chelsea Finn | |
On the generalization of learning algorithms that do not converge | Nisha Chandramoorthy,Andreas Loukas,Khashayar Gatmiry,Stefanie Jegelka | |
JAHS-Bench-201: A Foundation For Research On Joint Architecture And Hyperparameter Search | Archit Bansal,Danny Stoll,Maciej Janowski,Arber Zela,Frank Hutter | |
Biologically plausible solutions for spiking networks with efficient coding | Veronika Koren,Stefano Panzeri | |
Transfer Learning on Heterogeneous Feature Spaces for Treatment Effects Estimation | Ioana Bica,Mihaela Van Der Schaar | |
Sampling without Replacement Leads to Faster Rates in Finite-Sum Minimax Optimization | Aniket Das,Bernhard Schölkopf,Michael Muehlebach | |
Deep Differentiable Logic Gate Networks | Felix Petersen,Christian Borgelt,Hilde Kuehne,Oliver Deussen | |
Phase diagram of Stochastic Gradient Descent in high-dimensional two-layer neural networks | Rodrigo Veiga,Ludovic Stephan,Bruno Loureiro,Florent Krzakala,Lenka Zdeborová | |
Learning Expressive Meta-Representations with Mixture of Expert Neural Processes | Qi Wang,Herke Van Hoof | |
FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear Modulation | Mehmet Ozgur Turkoglu,Alexander Becker,Hüseyin Anil Gündüz,Mina Rezaei,Bernd Bischl,Rodrigo Caye Daudt,Stefano D'aronco,Jan D. Wegner,Konrad Schindler | |
Why GANs are overkill for NLP | David Alvarez-Melis,Vikas Garg,Adam Kalai | |
Efficient and Modular Implicit Differentiation | Mathieu Blondel,Quentin Berthet,Marco Cuturi,Roy Frostig,Stephan Hoyer,Felipe Llinares-lopez,Fabian Pedregosa,Jean-Philippe Vert | |
Learning Dynamical Systems via Koopman Operator Regression in Reproducing Kernel Hilbert Spaces | Pietro Novelli,Vladimir Kostic,Massimiliano Pontil,Andreas Maurer,Carlo Ciliberto,Lorenzo Rosasco | |
Learning to Accelerate Partial Differential Equations via Latent Global Evolution | Tailin Wu,Takashi Maruyama,Jure Leskovec | |
Diagnosing failures of fairness transfer across distribution shift in real-world medical settings | Jessica Schrouff,Natalie Harris,Sanmi Koyejo,Ibrahim Alabdulmohsin,Eva Schnider,Krista Opsahl-ong,Alexander Brown,Subhrajit Roy,Diana Mincu,Christina Chen,Awa Dieng,Yuan Liu,Vivek Natarajan,Alan Karthikesalingam,Katherine Heller,Silvia Chiappa,Alexander D'amour | |
Learning Neural Acoustic Fields | Andrew Luo,Yilun Du,Michael Tarr,Josh Tenenbaum,Antonio Torralba,Chuang Gan | |
On the Double Descent of Random Features Models Trained with SGD | Fanghui Liu,Johan Suykens,Volkan Cevher | |
Contextual Squeeze-and-Excitation for Efficient Few-Shot Image Classification | Massimiliano Patacchiola,John Bronskill,Aliaksandra Shysheya,Katja Hofmann,Sebastian Nowozin,Richard Turner | |
Graph Neural Network Bandits | Parnian Kassraie,Andreas Krause,Ilija Bogunovic | |
Latent-Variable Advantage-Weighted Policy Optimization for Offline Reinforcement Learning | Xi Chen,Ali Ghadirzadeh,Tianhe Yu,Alex Yuan Gao,Jianhao Wang,Wenzhe Li,Liang Bin,Chelsea Finn,Chongjie Zhang | |
Continuously Tempered PDMP samplers | Matthew Sutton,Robert Salomone,Augustin Chevallier,Paul Fearnhead | |
GlanceNets: Interpretabile, Leak-proof Concept-based Models | Emanuele Marconato,Andrea Passerini,Stefano Teso | |
Sparse Gaussian Process Hyperparameters: Optimize or Integrate? | Vidhi Lalchand,Wessel Bruinsma,David Burt,Carl Edward Rasmussen | |
On Batch Teaching with Sample Complexity Bounded by VCD | Farnam Mansouri,Hans Simon,Adish Singla,Sandra Zilles | |
Direct Advantage Estimation | Hsiao-Ru Pan,Nico Gürtler,Alexander Neitz,Bernhard Schölkopf | |
Predicting from Predictions | Frances Ding,Yixin Wang,Celestine Mendler-Dünner | |
A Non-asymptotic Analysis of Non-parametric Temporal-Difference Learning | Eloïse Berthier,Ziad Kobeissi,Francis Bach | |
Rate-Optimal Online Convex Optimization in Adaptive Linear Control | Asaf Cassel,Alon Peled-cohen,Tomer Koren | |
Reinforcement Learning with Non-Exponential Discounting | Matthias Schultheis,Constantin Rothkopf,Heinz Koeppl | |
Curious Exploration via Structured World Models Yields Zero-Shot Object Manipulation | Cansu Sancaktar,Sebastian Blaes,Georg Martius | |
Flamingo: a Visual Language Model for Few-Shot Learning | Jean-Baptiste Alayrac, Jeff Donahue, Pauline Luc, Antoine Miech, Iain Barr, Yana Hasson, Karel Lenc, Arthur Mensch, Katherine Millican, Malcolm Reynolds, Roman Ring, Eliza Rutherford, Serkan Cabi, Tengda Han, Zhitao Gong, Sina Samangooei, Marianne Monteiro, Jacob L Menick, Sebastian Borgeaud, Andy Brock, Aida Nematzadeh, Sahand Sharifzadeh, Mikołaj Bińkowski, Ricardo Barreira, Oriol Vinyals, Andrew Zisserman, Karen Simonyan | |
Generalized Variational Inference in Function Spaces: Gaussian Measures meet Bayesian Deep Learning | Veit David Wild,Robert Hu,Dino Sejdinovic | |
What You See is What You Classify: Black Box Attributions | Steven Stalder,Nathanael Perraudin,Radhakrishna Achanta,Fernando Perez-Cruz,Michele Volpi | |
Diversity vs. Recognizability: Human-like generalization in one-shot generative models | Victor Boutin,Lakshya Singhal,Xavier Thomas,Thomas Serre | |
Self-supervised Amodal Video Object Segmentation | Jian Yao,Yuxin Hong,Chiyu Wang,Tianjun Xiao,Tong He,Yanwei Fu,Francesco Locatello,David P Wipf,Zheng Zhang | |
Data-IQ: Characterizing subgroups with heterogeneous outcomes in tabular data | Nabeel Seedat,Jonathan Crabbé,Ioana Bica,Mihaela Van Der Schaar | |
Do Residual Neural Networks discretize Neural Ordinary Differential Equations? | Michael Sander,Pierre Ablin,Gabriel Peyré | |
Associating Objects and Their Effects in Video through Coordination Games | Erika Lu,Forrester Cole,Weidi Xie,Tali Dekel,Bill Freeman,Andrew Zisserman,Michael Rubinstein | |
Neural Topological Ordering for Computation Graphs | Mukul Gagrani,Corrado Rainone,Yang Yang,Harris Teague,Wonseok Jeon,Roberto Bondesan,Herke Van Hoof,Christopher Lott,Weiliang Zeng,Piero Zappi | |
Private Set Generation with Discriminative Information | Dingfan Chen,Raouf Kerkouche,Mario Fritz | |
Neural Networks with Hadamard Product: Separation on Extrapolation and Spectral Bias | Yongtao Wu,Zhenyu Zhu,Fanghui Liu,Grigorios Chrysos,Volkan Cevher | |
RKHS-SHAP: Shapley Values for Kernel Methods | Siu Lun Chau,Robert Hu,Javier González,Dino Sejdinovic | |
Bringing Image Scene Structure to Video via Frame-Clip Consistency of Object Tokens | Elad Ben Avraham,Roei Herzig,Karttikeya Mangalam,Amir Bar,Anna Rohrbach,Leonid Karlinsky,Trevor Darrell,Amir Globerson | |
Emergent Communication: Generalization and Overfitting in Lewis Games | Mathieu Rita,Corentin Tallec,Paul Michel,Jean-Bastien Grill,Olivier Pietquin,Emmanuel Dupoux,Florian Strub | |
On the non-universality of deep learning: quantifying the cost of symmetry | Emmanuel Abbe,Enric Boix-Adsera | |
Generalization Bounds for Equivariant Networks | Arash Behboodi,Gabriele Cesa,Taco Cohen | |
Optimal Transport of Classifiers to Fairness | Maarten Buyl,Tijl De Bie | |
Training Scale-Invariant Neural Networks on the Sphere Can Happen in Three Regimes | Maxim Kodryan,Ekaterina Lobacheva,Maksim Nakhodnov,Dmitry Vetrov | |
Scalable Sensitivity and Uncertainty Analyses for Causal-Effect Estimates of Continuous-Valued Interventions | Andrew Jesson,Alyson Douglas,Peter Manshausen,Nicolai Meinshausen,Philip Stier,Yarin Gal,Uri Shalit | |
Trading off Image Quality for Robustness is not Necessary with Deterministic Autoencoders | Amrutha Saseendran,Kathrin Skubch,Margret Keuper | |
Pseudo-Riemannian Graph Convolutional Networks | Bo Xiong,Shichao Zhu,Nico Potyka,Shirui Pan,Chuan Zhou,Steffen Staab | |
Amortized Inference for Causal Structure Learning | Lars Lorch,Scott Sussex,Jonas Rothfuss,Andreas Krause,Bernhard Schölkopf | |
Improving Policy Learning via Language Dynamics Distillation | Victor Zhong,Jesse Mu,Luke Zettlemoyer,Edward Grefenstette,Tim Rocktäschel | |
Conditional Meta-Learning of Linear Representations | Giulia Denevi,Massimiliano Pontil,Carlo Ciliberto | |
A Benchmark for Compositional Visual Reasoning | Aimen Zerroug,Mohit Vaishnav,Julien Colin,Sebastian Musslick,Thomas Serre | |
PALMER: Perception-Action Loop with Memory Reorganization for Planning | Onur Beker,Mohammad Mohammadi,Amir Zamir | |
Generating Long Videos of Dynamic Scenes | Tim Brooks,Janne Hellsten,Miika Aittala,Ting-Chun Wang,Timo Aila,Jaakko Lehtinen,Ming-Yu Liu,Alexei Efros,Tero Karras | |
What I Cannot Predict, I Do Not Understand: A Human-Centered Evaluation Framework for Explainability Methods | Julien Colin,Thomas Fel,Remi Cadene,Thomas Serre | |
Function Classes for Identifiable Nonlinear Independent Component Analysis | Simon Buchholz,Michel Besserve,Bernhard Schölkopf | |
Benchopt: Reproducible, efficient and collaborative optimization benchmarks | Thomas Moreau,Mathurin Massias,Alexandre Gramfort,Pierre Ablin,Pierre-Antoine Bannier,Benjamin Charlier,Mathieu Dagréou,Tom Dupre La Tour,Ghislain Durif,Cassio F. Dantas,Quentin Klopfenstein,Johan Larsson,En Lai,Tanguy Lefort,Benoît Malézieux,Badr Moufad,Binh T. Nguyen,Alain Rakotomamonjy,Zaccharie Ramzi,Joseph Salmon,Samuel Vaiter | |
Non-Convex Bilevel Games with Critical Point Selection Maps | Michael Arbel,Julien Mairal | |
Semantic Exploration from Language Abstractions and Pretrained Representations | Allison Tam,Neil Rabinowitz,Andrew Lampinen,Nicholas Roy,Stephanie Chan,Dj Strouse,Jane Wang,Andrea Banino,Felix Hill | |
Meta-Reinforcement Learning with Self-Modifying Networks | Mathieu Chalvidal,Thomas Serre,Rufin Vanrullen | |
Score-Based Diffusion meets Annealed Importance Sampling | Arnaud Doucet,Will Grathwohl,Alexander Matthews,Heiko Strathmann | |
A Characterization of Semi-Supervised Adversarially Robust PAC Learnability | Idan Attias,Steve Hanneke,Yishay Mansour | |
What is Where by Looking: Weakly-Supervised Open-World Phrase-Grounding without Text Inputs | Tal Shaharabany,Yoad Tewel,Lior Wolf | |
Diffusion Curvature for Estimating Local Curvature in High Dimensional Data | Dhananjay Bhaskar,Kincaid Macdonald,Oluwadamilola Fasina,Dawson Thomas,Bastian Rieck,Ian Adelstein,Smita Krishnaswamy | |
Semi-supervised Vision Transformers at Scale | Zhaowei Cai,Avinash Ravichandran,Paolo Favaro,Manchen Wang,Davide Modolo,Rahul Bhotika,Zhuowen Tu,Stefano Soatto | |
Subspace clustering in high-dimensions: Phase transitions \& Statistical-to-Computational gap | Luca Pesce,Bruno Loureiro,Florent Krzakala,Lenka Zdeborová | |
A Robust Phased Elimination Algorithm for Corruption-Tolerant Gaussian Process Bandits | Ilija Bogunovic,Zihan Li,Andreas Krause,Jonathan Scarlett | |
Aligning human and machine vision | Thomas Fel,Ivan F Rodriguez Rodriguez,Drew A Linsley,Thomas Serre | |
Pre-Trained Language Models for Interactive Decision-Making | Shuang Li,Xavier Puig,Chris Paxton,Yilun Du,Clinton Wang,Linxi Fan,Tao Chen,De-an Huang,Ekin Akyürek,Anima Anandkumar,Jacob Andreas,Igor Mordatch,Antonio Torralba,Yuke Zhu | |
Towards Open Set 3D Learning: Benchmarking and Understanding Semantic Novelty Detection on Pointclouds | Antonio Alliegro,Francesco Cappio Borlino,Tatiana Tommasi | |
Generalised Implicit Neural Representations | Daniele Grattarola,Pierre Vandergheynst | |
OpenXAI: Towards a Transparent Evaluation of Model Explanations | Chirag Agarwal,Eshika Saxena,Satyapriya Krishna,Martin Pawelczyk,Nari Johnson,Isha Puri,Marinka Zitnik,Himabindu Lakkaraju | |
Convexity Certificates from Hessians | Joachim Giesen,Julien Klaus,Sören Laue,Niklas Merk,Konstantin Wiedom | |
Quo Vadis: Is Trajectory Forecasting the Key Towards Long-Term Multi-Object Tracking? | Patrick Dendorfer,Vladimir Yugay,Aljosa Osep,Laura Leal-Taixé | |
Bessel Equivariant Networks for Inversion of Transmission Effects in Multi-Mode Optical Fibres | Joshua Mitton,Simon Mekhail,Miles Padgett,Daniele Faccio,Marco Aversa,Roderick Murray-Smith | |
Retrieve, Reason, and Refine: Generating Accurate and Faithful Patient Instructions | Fenglin Liu,Bang Yang,Chenyu You,Xian Wu,Shen Ge,Zhangdaihong Liu,Xu Sun,Yang Yang,David Clifton | |
A Multilabel Classification Framework for Approximate Nearest Neighbor Search | Ville Hyvönen,Elias Jääsaari,Teemu Roos | |
Neural Abstractions | Alessandro Abate,Alec Edwards,Mirco Giacobbe | |
Few-shot Relational Reasoning via Pretraining of Connection Subgraph Reconstruction | Qian Huang,Hongyu Ren,Jure Leskovec | |
Dungeons and Data: A Large-Scale NetHack Dataset | Eric Hambro,Roberta Raileanu,Danielle Rothermel,Vegard Mella,Tim Rocktäschel,Heinrich Küttler,Naila Murray | |
CEBaB: Estimating the Causal Effects of Real-World Concepts on NLP Model Behavior | Eldar Abraham,Karel D'oosterlinck,Amir Feder,Yair Gat,Atticus Geiger,Christopher Potts,Roi Reichart,Zhengxuan Wu | |
Synthetic Model Combination: An Instance-wise Approach to Unsupervised Ensemble Learning | Alex Chan,Mihaela Van Der Schaar | |
NAS-Bench-Suite-Zero: Accelerating Research on Zero Cost Proxies | Arjun Krishnakumar,Colin White,Arber Zela,Renbo Tu,Mahmoud Safari,Frank Hutter | |
When to Ask for Help: Proactive Interventions in Autonomous Reinforcement Learning | Annie Xie,Fahim Tajwar,Archit Sharma,Chelsea Finn | |
Batch Bayesian Optimization on Permutations using the Acquisition Weighted Kernel | Changyong Oh,Roberto Bondesan,Efstratios Gavves,Max Welling | |
Conformal Off-Policy Prediction in Contextual Bandits | Muhammad Faaiz Taufiq,Jean-francois Ton,Rob Cornish,Yee Whye Teh,Arnaud Doucet | |
Lifting the Information Ratio: An Information-Theoretic Analysis of Thompson Sampling for Contextual Bandits | Gergely Neu,Julia Olkhovskaya,Matteo Papini,Ludovic Schwartz | |
HyperDomainNet: Universal Domain Adaptation for Generative Adversarial Networks | Aibek Alanov,Vadim Titov,Dmitry Vetrov | |
Online Decision Mediation from Scratch | Daniel Jarrett,Alihan Hüyük,Mihaela Van Der Schaar | |
Giga-scale Kernel Matrix-Vector Multiplication on GPU | Robert Hu,Siu Lun Chau,Dino Sejdinovic,Joan Glaunès | |
Online PAC-Bayes Learning | Maxime Haddouche,Benjamin Guedj | |
Joint Entropy Search For Maximally-Informed Bayesian Optimization | Carl Hvarfner,Frank Hutter,Luigi Nardi | |
Performative Power | Moritz Hardt,Meena Jagadeesan,Celestine Mendler-Dünner | |
ProtoVAE: A Trustworthy Self-Explainable Prototypical Variational Model | Srishti Gautam,Ahcène Boubekki,Stine Hansen,Suaiba Salahuddin,Robert Jenssen,Marina Höhne,Michael Kampffmeyer | |
AutoML Two-Sample Test | Jonas Kübler,Vincent Stimper,Simon Buchholz,Krikamol Muandet,Bernhard Schölkopf | |
Exploration-Guided Reward Shaping for Reinforcement Learning under Sparse Rewards | Rati Devidze,Parameswaran Kamalaruban,Adish Singla | |
ENS-10: A Dataset For Post-Processing Ensemble Weather Forecasts | Saleh Ashkboos,Langwen Huang,Nikoli Dryden,Tal Ben-Nun,Peter Dueben,Lukas Gianinazzi,Luca Kummer,Torsten Hoefler | |
LAMP: Extracting Text from Gradients with Language Model Priors | Mislav Balunovic,Dimitar Dimitrov,Nikola Jovanović,Martin Vechev | |
A Multi-Resolution Framework for U-Nets with Applications to Hierarchical VAEs | Fabian Falck,Christopher Williams,Dominic Danks,George Deligiannidis,Christopher Yau,Chris C Holmes,Arnaud Doucet,Matthew Willetts | |
Nest Your Adaptive Algorithm for Parameter-Agnostic Nonconvex Minimax Optimization | Junchi Yang,Xiang Li,Niao He | |
Cross-modal Learning for Image-Guided Point Cloud Shape Completion | Emanuele Aiello,Diego Valsesia,Enrico Magli | |
Expected Frequency Matrices of Elections: Computation, Geometry, and Preference Learning | Niclas Boehmer,Robert Bredereck,Edith Elkind,Piotr Faliszewski,Stanisław Szufa | |
Local-Global MCMC kernels: the best of both worlds | Sergey Samsonov,Evgeny Lagutin,Marylou Gabrié,Alain Durmus,Alexey Naumov,Eric Moulines | |
Revisiting Heterophily For Graph Neural Networks | Sitao Luan,Chenqing Hua,Qincheng Lu,Jiaqi Zhu,Mingde Zhao,Shuyuan Zhang,Xiao-wen Chang,Doina Precup | |
LieGG: Studying Learned Lie Group Generators | Anna Sepliarskaia,Artem Moskalev,Ivan Sosnovik,Arnold Smeulders | |
Using Mixup as a Regularizer Can Surprisingly Improve Accuracy and Out Distribution Robustness | Francesco Pinto,Harry Yang,Ser Nam Lim,Philip Torr,Puneet Dokania | |
Local Identifiability of Deep ReLU Neural Networks: the Theory | Joachim Bona-Pellissier,François Malgouyres,Francois Bachoc | |
Automatic differentiation of nonsmooth iterative algorithms | Jerome Bolte,Edouard Pauwels,Samuel Vaiter | |
Randomized Message-Interception Smoothing: Gray-box Certificates for Graph Neural Networks | Yan Scholten,Jan Schuchardt,Simon Geisler,Aleksandar Bojchevski,Stephan Günnemann | |
AZ-whiteness test: a test for signal uncorrelation on spatio-temporal graphs | Daniele Zambon,Cesare Alippi | |
Subgame Solving in Adversarial Team Games | Brian Zhang,Luca Carminati,Federico Cacciamani,Gabriele Farina,Pierriccardo Olivieri,Nicola Gatti,Tuomas Sandholm | |
Generalised Mutual Information for Discriminative Clustering | Louis Ohl,Pierre-alexandre Mattei,Charles Bouveyron,Warith Harchaoui,Arnaud Droit,Mickaël Leclercq,Frederic Precioso | |
Aligning individual brains with fused unbalanced Gromov Wasserstein | Alexis Thual,Quang Huy Tran,Tatiana Zemskova,Nicolas Courty,Rémi Flamary,Stanislas Dehaene,Bertrand Thirion | |
A Near-Optimal Best-of-Both-Worlds Algorithm for Online Learning with Feedback Graphs | Chloé Rouyer,Dirk Van Der Hoeven,Nicolò Cesa-Bianchi,Yevgeny Seldin | |
Truncated proposals for scalable and hassle-free simulation-based inference | Michael Deistler,Pedro Goncalves,Jakob H Macke | |
Intra-agent speech permits zero-shot task acquisition | Chen Yan,Federico Carnevale,Petko I Georgiev,Adam Santoro,Aurelia Guy,Alistair Muldal,Chia-chun Hung,Joshua Abramson,Timothy Lillicrap,Gregory Wayne | |
Unsupervised Cross-Domain Imitation Learning | Tim Franzmeyer,Philip Torr,João Henriques | |
Mesoscopic modeling of hidden spiking neurons | Shuqi Wang,Valentin Schmutz,Guillaume Bellec,Wulfram Gerstner | |
When are Local Queries Useful for Robust Learning? | Pascale Gourdeau,Varun Kanade,Marta Kwiatkowska,James Worrell | |
A Fair Comparison of Two Popular Flat-Minima Optimizers: Stochastic Weight Averaging vs. Sharpness-Aware Minimization | Jean Kaddour,Linqing Liu,Ricardo Silva,Matt Kusner | |
Contrastive Neural Ratio Estimation | Benjamin K Miller,Christoph Weniger,Patrick Forré | |
Experimental Design for Linear Functionals in Reproducing Kernel Hilbert Spaces | Mojmir Mutny,Andreas Krause | |
Tractable Optimality in Episodic Latent MABs | Jeongyeol Kwon,Yonathan Efroni,Constantine Caramanis,Shie Mannor | |
High-dimensional Additive Gaussian Processes under Monotonicity Constraints | Andrés López-lopera,Francois Bachoc,Olivier Roustant | |
Meta-Album: Multi-domain Meta-Dataset for Few-Shot Image Classification | Ihsan Ullah,Dustin Carrión-Ojeda,Sergio Escalera,Isabelle Guyon,Mike Huisman,Felix Mohr,Jan N. Van Rijn,Haozhe Sun,Joaquin Vanschoren,Phan Anh Vu | |
The Unreasonable Effectiveness of Fully-Connected Layers for Low-Data Regimes | Peter Kocsis,Ismail Elezi,Peter Súkeník,Guillem Braso,Matthias Niessner,Laura Leal-Taixé | |
Muffliato: Peer-to-Peer Privacy Amplification for Decentralized Optimization and Averaging | Edwige Cyffers,Mathieu Even,Aurélien Bellet,Laurent Massoulié | |
Concept Activation Regions: A Generalized Framework For Concept-Based Explanations | Jonathan Crabbé,Mihaela Van Der Schaar | |
Sparsity in Continuous-Depth Neural Networks | Hananeh Aliee,Till Richter,Mikhail Solonin,Ignacio Ibarra,Fabian Theis,Niki Kilbertus | |
USB: A Unified Semi-supervised Learning Benchmark | Yidong Wang,Hao Chen,Yue Fan,Wang Sun,Ran Tao,Wenxin Hou,Renjie Wang,Linyi Yang,Zhi Zhou,Lan-zhe Guo,Heli Qi,Zhen Wu,Yu-feng Li,Satoshi Nakamura,Wei Ye,Marios Savvides,Bhiksha Raj,Takahiro Shinozaki,Bernt Schiele,Jindong Wang,Xing Xie,Yue Zhang | |
Fast Stochastic Composite Minimization and an Accelerated Frank-Wolfe Algorithm under Parallelization | Benjamin Dubois-taine,Francis Bach,Quentin Berthet,Adrien Taylor | |
Task Discovery: Finding the Tasks that Neural Networks Generalize on | Andrei Atanov,Andrey Filatov,Teresa Yeo,Ajay Sohmshetty,Amir Zamir | |
Procedural Image Programs for Representation Learning | Manel Baradad,Chun-Fu Chen,Jonas Wulff,Tongzhou Wang,Rogerio Feris,Antonio Torralba,Phillip Isola | |
Robustness in deep learning: The width (good), the depth (bad), and the initialization (ugly) | Zhenyu Zhu,Fanghui Liu,Grigorios Chrysos,Volkan Cevher | |
Pitfalls of Epistemic Uncertainty Quantification through Loss Minimisation | Viktor Bengs,Eyke Hüllermeier,Willem Waegeman | |
Between Stochastic and Adversarial Online Convex Optimization: Improved Regret Bounds via Smoothness | Sarah Sachs,Hedi Hadiji,Tim Van Erven,Cristóbal Guzmán | |
Amortised Inference in Structured Generative Models with Explaining Away | Changmin Yu,Hugo Soulat,Neil Burgess,Maneesh Sahani | |
Revisiting Active Sets for Gaussian Process Decoders | Pablo Moreno-Muñoz,Cilie Feldager,Søren Hauberg | |
Make Some Noise: Reliable and Efficient Single-Step Adversarial Training | Pau De Jorge Aranda,Adel Bibi,Riccardo Volpi,Amartya Sanyal,Philip Torr,Gregory Rogez,Puneet Dokania | |
Robust On-Policy Sampling for Data-Efficient Policy Evaluation | Rujie Zhong,Duohan Zhang,Lukas Schäfer,Stefano Albrecht,Josiah Hanna | |
Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel Recombination | Masaki Adachi,Satoshi Hayakawa,Martin Jørgensen,Harald Oberhauser,Michael A Osborne | |
Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning | Elias Frantar,Dan Alistarh | |
Scalable Infomin Learning | Yanzhi Chen,Weihao Sun,Yingzhen Li,Adrian Weller | |
A First Approach to Universal Second-Order Acceleration for Convex Minimization | Ali Kavis,Kimon Antonakopoulos,Volkan Cevher | |
Understanding Neural Architecture Search: Convergence and Generalization | Zhenyu Zhu,Fanghui Liu,Grigorios Chrysos,Volkan Cevher | |
Conformal Frequency Estimation with Sketched Data | Matteo Sesia,Stefano Favaro | |
Reconstructing Training Data From Trained Neural Networks | Niv Haim,Gal Vardi,Gilad Yehudai,Michal Irani,Ohad Shamir | |
Learning to Discover and Detect Objects | Volodymyr Fomenko,Ismail Elezi,Deva Ramanan,Aljosa Osep,Laura Leal-Taixé | |
MOVE: Unsupervised Movable Object Segmentation and Detection | Adam Bielski,Paolo Favaro | |
Okapi: Generalising Better by Making Statistical Matches Match | Myles Bartlett,Sara Romiti,Viktoriia Sharmanska,Novi Quadrianto | |
Giving Feedback on Interactive Student Programs with Meta-Exploration | Evan Liu,Moritz Stephan,Allen Nie,Chris Piech,Emma Brunskill,Chelsea Finn | |
Sampling from Hyper-Representations to Generate Neural Network Weights | Konstantin Schürholt,Boris Knyazev,Xavier Giro-i-Nieto,Damian Borth | |
(De-)Randomized Smoothing for Decision Stump Ensembles | Miklós Horváth,Mark Müller,Marc Fischer,Martin Vechev | |
SAVi++: Towards End-to-End Object-Centric Learning from Real-World Videos | Gamaleldin Elsayed,Aravindh Mahendran,Sjoerd Van Steenkiste,Klaus Greff,Michael Mozer,Thomas Kipf | |
Are Two Heads the Same as One? Identifying Disparate Treatment in Fair Neural Networks | Michael Lohaus,Matthäus Kleindessner,Krishnaram Kenthapadi,Francesco Locatello,Chris Russell | |
Benign Underfitting of Stochastic Gradient Descent | Tomer Koren,Roi Livni,Yishay Mansour,Uri Sherman | |
Zero-Shot Video Question Answering via Frozen Bidirectional Language Models | Antoine Yang,Antoine Miech,Josef Sivic,Ivan Laptev,Cordelia Schmid | |
Challenging Common Assumptions in Convex Reinforcement Learning | Mirco Mutti,Riccardo De Santi,Piersilvio De Bartolomeis,Marcello Restelli | |
Locating and Editing Factual Associations in GPT | Kevin Meng,David Bau,Alex Andonian,Yonatan Belinkov | |
PolarMix: A General Data Augmentation Technique for LiDAR Point Clouds | Aoran Xiao,Jiaxing Huang,Dayan Guan,Kaiwen Cui,Shijian Lu,Ling Shao | |
Graph Neural Networks with Adaptive Readouts | David Buterez,Jon Paul Janet,Steven J Kiddle,Dino Oglic,Pietro Liò | |
Alleviating Adversarial Attacks on Variational Autoencoders with MCMC | Anna Kuzina,Max Welling,Jakub Tomczak | |
Identify and Remove Backdoor Neurons through Clean-Poisoned Mixture Distribution | Runkai Zheng,Rongjun Tang,Jianze Li,Li Liu | |
Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency | Xiang Zhang,Ziyuan Zhao,Theodoros Tsiligkaridis,Marinka Zitnik | |
VICRegL: Self-Supervised Learning of Local Visual Features | Adrien Bardes,Jean Ponce,Yann Lecun | |
A Continuous Time Framework for Discrete Denoising Models | Andrew Campbell,Joe Benton,Valentin De Bortoli,Thomas Rainforth,George Deligiannidis,Arnaud Doucet | |
Sample-Efficient Reinforcement Learning of Partially Observable Markov Games | Qinghua Liu,Csaba Szepesvari,Chi Jin | |
In the Eye of the Beholder: Robust Prediction with Causal User Modeling | Amir Feder,Guy Horowitz,Yoav Wald,Roi Reichart,Nir Rosenfeld | |
3DILG: Irregular Latent Grids for 3D Generative Modeling | Biao Zhang,Matthias Niessner,Peter Wonka | |
How Transferable are Video Representations Based on Synthetic Data? | Yo-whan Kim,Samarth Mishra,Souyoung Jin,Rameswar Panda,Hilde Kuehne,Leonid Karlinsky,Venkatesh Saligrama,Kate Saenko,Aude Oliva,Rogerio Feris | |
Missing Data Imputation and Acquisition with Deep Hierarchical Models and Hamiltonian Monte Carlo | Ignacio Peis,Chao Ma,José Miguel Hernández-Lobato | |
GriddlyJS: A Web IDE for Reinforcement Learning | Christopher Bamford,Minqi Jiang,Mikayel Samvelyan,Tim Rocktäschel | |
Exploration With a Finite Brain | Marcel Binz,Eric Schulz | |
Exploring the Latent Space of Autoencoders with Interventional Assays | Felix Leeb,Stefan Bauer,Michel Besserve,Bernhard Schölkopf | |
Learning on the Edge: Online Learning with Stochastic Feedback Graphs | Emmanuel Esposito,Federico Fusco,Dirk Van Der Hoeven,Nicolò Cesa-Bianchi | |
Scalable Representation Learning in Linear Contextual Bandits with Constant Regret Guarantees | Andrea Tirinzoni,Matteo Papini,Ahmed Touati,Alessandro Lazaric,Matteo Pirotta | |
Continuous MDP Homomorphisms and Homomorphic Policy Gradient | Sahand Rezaei-shoshtari,Rosie Zhao,Prakash Panangaden,David Meger,Doina Precup | |
ReFactorGNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective | Yihong Chen,Pushkar Mishra,Luca Franceschi,Pasquale Minervini,Pontus Lars Erik Saito Stenetorp,Sebastian Riedel | |
Equivariant Networks for Zero-Shot Coordination | Darius Muglich,Christian Schroeder De Witt,Elise Van Der Pol,Shimon Whiteson,Jakob Foerster | |
Finding Optimal Arms in Non-stochastic Combinatorial Bandits with Semi-bandit Feedback and Finite Budget | Jasmin Brandt,Björn Haddenhorst,Viktor Bengs,Eyke Hüllermeier | |
Motion Forecasting Transformer with Global Intention Localization and Local Movement Refinement | Shaoshuai Shi,Li Jiang,Dengxin Dai,Bernt Schiele | |
Model Zoo: A Dataset of Diverse Populations of Neural Network Models | Konstantin Schürholt,Diyar Taskiran,Boris Knyazev,Xavier Giro-i-Nieto,Damian Borth | |
Uncertainty Estimation Using Riemannian Model Dynamics | Guy Tennenholtz,Shie Mannor | |
Generalization Gap in Amortized Inference | Mingtian Zhang,Peter Hayes,David Barber | |
Kernel Attractor Networks: A Unifying Framework for Memory Modeling | Georgios Iatropoulos,Johanni Brea,Wulfram Gerstner | |
RankFeat: Rank-1 Feature Removal for Out-of-distribution Detection | Yue Song,Nicu Sebe,Wei Wang | |
Physically-Based Face Rendering for NIR-VIS Face Recognition | Yunqi Miao,Alexandros Lattas,Jiankang Deng,Jungong Han,Stefanos Zafeiriou | |
Memory safe computations with XLA compiler | Artem Artemev,Tilman Roeder,Mark Van Der Wilk | |
Free High-Resolution Satellite Imagery: The WorldStrat Dataset | Julien Cornebise,Ivan Oršolić,Freddie Kalaitzis | |
Reduced Representation of Deformation Fields for Effective Non-rigid Shape Matching | Ramana Subramanyam Sundararaman,Riccardo Marin,Emanuele Rodolà,Maks Ovsjanikov | |
Whitening Convergence Rate of Affine Coupling Flows | Felix Draxler,Christoph Schnörr,Ullrich Köthe | |
Diffusion Visual Counterfactual Explanations | Maximilian Augustin,Valentyn Boreiko,Francesco Croce,Matthias Hein | |
Optimistic Posterior Sampling for Reinforcement Learning with Few Samples and Tight Guarantees | Daniil Tiapkin,Denis Belomestny,Daniele Calandriello,Eric Moulines,Remi Munos,Alexey Naumov,Mark Rowland,Michal Valko,Pierre Ménard | |
How Sampling Impacts the Robustness of Stochastic Neural Networks | Sina Däubener,Asja Fischer | |
Grounding Aleatoric Uncertainty in Unsupervised Environment Design | Minqi Jiang,Michael Dennis,Jack Parker-Holder,Andrei Lupu,Heinrich Küttler,Edward Grefenstette,Tim Rocktäschel,Jakob Foerster | |
On Measuring Excess Capacity in Neural Networks | Florian Graf,Sebastian Zeng,Bastian Rieck,Marc Niethammer,Roland Kwitt | |
Are Defenses for Graph Neural Networks Robust? | Felix Mujkanovic,Simon Geisler,Aleksandar Bojchevski,Stephan Günnemann | |
Efficient identification of informative features in simulation-based inference | Jonas Beck,Michael Deistler,Yves Bernaerts,Jakob H Macke,Philipp Berens | |
Simultaneous Missing Value Imputation and Structure Learning with Groups | Pablo Morales-alvarez,Wenbo Gong,Angus Lamb,Simon Woodhead,Simon Peyton Jones,Nick Pawlowski,Miltiadis Allamanis,Cheng Zhang | |
Towards Reliable Simulation-Based Inference with Balanced Neural Ratio Estimation | Arnaud Delaunoy,Joeri Hermans,François Rozet,Antoine Wehenkel,Gilles Louppe | |
Hamiltonian Latent Operators for content and motion disentanglement in image sequences | Mohammad Asif Khan,Amos Storkey | |
UQGAN: A Unified Model for Uncertainty Quantification of Deep Classifiers trained via Conditional GANs | Philipp Oberdiek,Gernot Fink,Matthias Rottmann | |
Collaborative Learning by Detecting Collaboration Partners | Shu Ding,Wei Wang | |
Sound and Complete Verification of Polynomial Networks | Elias Abad Rocamora,Mehmet Fatih Sahin,Fanghui Liu,Grigorios Chrysos,Volkan Cevher | |
Segmenting Moving Objects via an Object-Centric Layered Representation | Junyu Xie,Weidi Xie,Andrew Zisserman | |
SelecMix: Debiased Learning by Contradicting-pair Sampling | Inwoo Hwang,Sangjun Lee,Yunhyeok Kwak,Seong Joon Oh,Damien Teney,Jin-Hwa Kim,Byoung-tak Zhang | |
Private Synthetic Data for Multitask Learning and Marginal Queries | Giuseppe Vietri,Cedric Archambeau,Sergul Aydore,William Brown,Michael Kearns,Aaron Roth,Ankit Siva,Shuai Tang,Steven Wu | |
Understanding and Extending Subgraph GNNs by Rethinking Their Symmetries | Fabrizio Frasca,Beatrice Bevilacqua,Michael Bronstein,Haggai Maron | |
VoxGRAF: Fast 3D-Aware Image Synthesis with Sparse Voxel Grids | Katja Schwarz,Axel Sauer,Michael Niemeyer,Yiyi Liao,Andreas Geiger | |
Semi-Parametric Neural Image Synthesis | Andreas Blattmann,Robin Rombach,Kaan Oktay,Jonas Müller,Björn Ommer | |
On the Theoretical Properties of Noise Correlation in Stochastic Optimization | Aurelien Lucchi,Hans Kersting,Antonio Orvieto,Francis Bach,Frank Proske | |
Large-Scale Retrieval for Reinforcement Learning | Peter Humphreys,Arthur Guez,Olivier Tieleman,Laurent Sifre,Theophane Weber,Timothy Lillicrap | |
SnAKe: Bayesian Optimization with Pathwise Exploration | Jose Pablo Folch,Shiqiang Zhang,Robert Lee,Behrang Shafei,David Walz,Calvin Tsay,Mark Van Der Wilk,Ruth Misener | |
Hyperbolic Embedding Inference for Structured Multi-Label Prediction | Bo Xiong,Michael Cochez,Mojtaba Nayyeri,Steffen Staab | |
Image Inpainting models are Few-Shot Learners (Given the Right Data) | Amir Bar,Yossi Gandelsman,Trevor Darrell,Amir Globerson,Alexei Efros | |
Near-Optimal Regret for Adversarial MDP with Delayed Bandit Feedback | Tiancheng Jin,Tal Lancewicki,Haipeng Luo,Yishay Mansour,Aviv Rosenberg | |
BR-SNIS: Bias Reduced Self-Normalized Importance Sampling | Gabriel Cardoso,Sergey Samsonov,Achille Thin,Eric Moulines,Jimmy Olsson | |
SInGE: Sparsity via Integrated Gradients Estimation of Neuron Relevance | Edouard Yvinec,Arnaud Dapogny,Matthieu Cord,Kevin Bailly | |
Learning to Branch with Tree MDPs | Lara Scavuzzo,Feng Chen,Didier Chetelat,Maxime Gasse,Andrea Lodi,Neil Yorke-Smith,Karen Aardal | |
A Conditional Randomization Test for Sparse Logistic Regression in High-Dimension | Binh T. Nguyen,Bertrand Thirion,Sylvain Arlot | |
Structure-Preserving 3D Garment Modeling with Neural Sewing Machines | Xipeng Chen,Guangrun Wang,Dizhong Zhu,Xiaodan Liang,Philip Torr,Liang Lin | |
Learning Long-Term Crop Management Strategies with CyclesGym | Matteo Turchetta,Luca Corinzia,Scott Sussex,Amanda Burton,Juan Herrera,Ioannis Athanasiadis,Joachim M Buhmann,Andreas Krause | |
Deep Combinatorial Aggregation | Yuesong Shen,Daniel Cremers | |
Information-Theoretic Safe Exploration with Gaussian Processes | Alessandro Bottero,Carlos Luis,Julia Vinogradska,Felix Berkenkamp,Jan Peters | |
Global convergence of ResNets: From finite to infinite width using linear parameterization | Raphaël Barboni,Gabriel Peyré,Francois-Xavier Vialard | |
Group Meritocratic Fairness in Linear Contextual Bandits | Riccardo Grazzi,Arya Akhavan,Massimiliano Pontil,John If Falk,Leonardo Cella | |
CryptoGCN: Fast and Scalable Homomorphically Encrypted Graph Convolutional Network Inference | Ran Ran,Wei Wang,Quan Gang,Jieming Yin,Nuo Xu,Wujie Wen | |
Luckiness in Multiscale Online Learning | Wouter Koolen,Muriel Pérez | |
Finite Sample Analysis Of Dynamic Regression Parameter Learning | Mark Kozdoba,Edward Moroshko,Shie Mannor,Yacov Crammer | |
Indicators of Attack Failure: Debugging and Improving Optimization of Adversarial Examples | Maura Pintor,Luca Demetrio,Angelo Sotgiu,Ambra Demontis,Nicholas Carlini,Battista Biggio,Fabio Roli | |
ZeroC: A Neuro-Symbolic Model for Zero-shot Concept Recognition and Acquisition at Inference Time | Tailin Wu,Megan Tjandrasuwita,Zhengxuan Wu,Xuelin Yang,Kevin Liu,Rok Sosic,Jure Leskovec | |
Width and Depth Guidelines for Deep Q-Learning: A Function Approximation Perspective | Fanghui Liu,Luca Viano,Volkan Cevher | |
Tractable Function-Space Variational Inference in Bayesian Neural Networks | Tim G. J. Rudner,Zonghao Chen,Yee Whye Teh,Yarin Gal | |
Efficiently Factorizing Boolean Matrices using Proximal Gradient Descent | Sebastian Dalleiger,Jilles Vreeken | |
Association Graph Learning for Multi-Task Classification with Category Shifts | Jiayi Shen,Zehao Xiao,Xiantong Zhen,Cees Snoek,Marcel Worring | |
Diagonal State Spaces are as Effective as Structured State Spaces | Ankit Gupta,Albert Gu,Jonathan Berant | |
Reinforcement Learning with a Terminator | Guy Tennenholtz,Nadav Merlis,Lior Shani,Shie Mannor,Uri Shalit,Gal Chechik,Assaf Hallak,Gal Dalal | |
Provably expressive temporal graph networks | Amauri Souza,Diego Mesquita,Samuel Kaski,Vikas Garg | |
An empirical analysis of compute-optimal large language model training | Jordan Hoffmann,Sebastian Borgeaud,Arthur Mensch,Elena Buchatskaya,Trevor Cai,Eliza Rutherford,Diego De Las Casas,Lisa Anne Hendricks,Johannes Welbl,Aidan Clark,Thomas Hennigan,Eric Noland,Katherine Millican,George Van Den Driessche,Bogdan Damoc,Aurelia Guy,Simon Osindero,Karen Simonyan,Erich Elsen,Jack Rae,Oriol Vinyals,Laurent Sifre | |
Object Scene Representation Transformer | Mehdi S. M. Sajjadi,Daniel Duckworth,Aravindh Mahendran,Sjoerd Van Steenkiste,Filip Pavetic,Mario Lucic,Leonidas Guibas,Klaus Greff,Thomas Kipf | |
The Importance of Baselines in Policy Gradients | Jincheng Mei,Wesley Chung,Valentin Thomas,Bo Dai,Csaba Szepesvari,Dale Schuurmans | |
Stability and Scalability of Node Perturbation Learning | Naoki Hiratani,Yash Mehta,Timothy Lillicrap,Peter E Latham | |
You Only Live Once: Single-Life Reinforcement Learning via Learned Reward Shaping | Annie Chen,Archit Sharma,Sergey Levine,Chelsea Finn | |
Modeling the Machine Learning Multiverse | Samuel Bell,Onno Kampman,Jesse Dodge,Neil Lawrence | |
Unsupervised Adaptation from Repeated Traversals for Autonomous Driving | Yurong You,Cheng Perng Phoo,Katie Luo,Travis Zhang,Wei-Lun Chao,Bharath Hariharan,Mark Campbell,Kilian Weinberger | |
Memorization and Optimization in Deep Neural Networks with Minimum Over-parameterization | Simone Bombari,Mohammad Hossein Amani,Marco Mondelli | |
Semantic Probabilistic Layers for Neuro-Symbolic Learning | Kareem Ahmed,Stefano Teso,Kai-Wei Chang,Guy Van Den Broeck,Antonio Vergari | |
Deep Bidirectional Language-Knowledge Pretraining | Michihiro Yasunaga,Antoine Bosselut,Hongyu Ren,Xikun Zhang,Christopher D Manning,Percy Liang,Jure Leskovec | |
Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs | Cristian Bodnar,Francesco Di Giovanni,Benjamin Chamberlain,Pietro Lió,Michael Bronstein | |
Robustness to Unbounded Smoothness of Generalized SignSGD | Michael Crawshaw,Mingrui Liu,Francesco Orabona,Wei Zhang,Zhenxun Zhuang | |
CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP | Andreas Fürst,Elisabeth Rumetshofer,Johannes Lehner,Viet Tran,Fei Tang,Hubert Ramsauer,David Kreil,Michael Kopp,Günter Klambauer,Angela Bitto,Sepp Hochreiter | |
Bandit Theory and Thompson Sampling-Guided Directed Evolution for Sequence Optimization | Hui Yuan,Chengzhuo Ni,Huazheng Wang,Xuezhou Zhang,Le Cong,Csaba Szepesvari,Mengdi Wang | |
Optimizing Relevance Maps of Vision Transformers Improves Robustness | Hila Chefer,Idan Schwartz,Lior Wolf | |
Data augmentation for efficient learning from parametric experts | Alexandre Galashov,Josh Merel,Nicolas Heess | |
Predictive Querying for Autoregressive Neural Sequence Models | Alex Boyd,Samuel Showalter,Stephan Mandt,Padhraic Smyth | |
ReCo: Retrieve and Co-segment for Zero-shot Transfer | Gyungin Shin,Weidi Xie,Samuel Albanie | |
Error Correction Code Transformer | Yoni Choukroun,Lior Wolf | |
Provably Adversarially Robust Detection of Out-of-Distribution Data (Almost) for Free | Alexander Meinke,Julian Bitterwolf,Matthias Hein | |
Efficient learning of nonlinear prediction models with time-series privileged information | Bastian Jung,Fredrik Johansson | |
Adversarial Style Augmentation for Domain Generalized Urban-Scene Segmentation | Zhun Zhong,Yuyang Zhao,Gim Hee Lee,Nicu Sebe | |
Better Best of Both Worlds Bounds for Bandits with Switching Costs | Idan Amir,Guy Azov,Tomer Koren,Roi Livni | |
TempEL: Linking Dynamically Evolving and Newly Emerging Entities | Klim Zaporojets,Lucie-aimée Kaffee,Johannes Deleu,Thomas Demeester,Chris Develder,Isabelle Augenstein | |
Weakly supervised causal representation learning | Johann Brehmer,Pim De Haan,Phillip Lippe,Taco Cohen | |
Expectation-Maximization Contrastive Learning for Compact Video-and-Language Representations | Peng Jin,Fa Jin Huang,Fenglin Liu,Xian Wu,Shen Ge,Guoli Song,David Clifton,Jie Chen | |
Torsional Diffusion for Molecular Conformer Generation | Bowen Jing,Gabriele Corso,Jeffrey Chang,Regina Barzilay,Tommi Jaakkola | |
Provable Defense against Backdoor Policies in Reinforcement Learning | Shubham Bharti,Xuezhou Zhang,Adish Singla,Jerry Zhu | |
Safety Guarantees for Neural Network Dynamic Systems via Stochastic Barrier Functions | Rayan Mazouz,Karan Muvvala,Akash Ratheesh Babu,Luca Laurenti,Morteza Lahijanian | |
Learning to Reason with Neural Networks: Generalization, Unseen Data and Boolean Measures | Emmanuel Abbe,Samy Bengio,Elisabetta Cornacchia,Jon Kleinberg,Aryo Lotfi,Maithra Raghu,Chiyuan Zhang | |
Active Learning of Classifiers with Label and Seed Queries | Marco Bressan,Nicolò Cesa-Bianchi,Silvio Lattanzi,Andrea Paudice,Maximilian Thiessen | |
Causal Discovery in Heterogeneous Environments Under the Sparse Mechanism Shift Hypothesis | Ronan Perry,Julius Von Kügelgen,Bernhard Schölkopf | |
Gradient flow dynamics of shallow ReLU networks for square loss and orthogonal inputs | Etienne Boursier,Loucas Pillaud-Vivien,Nicolas Flammarion | |
Differentially Private Learning with Margin Guarantees | Raef Bassily,Mehryar Mohri,Ananda Theertha Suresh | |
Degradation-Aware Unfolding Half-Shuffle Transformer for Spectral Compressive Imaging | Yuanhao Cai,Jing Lin,Haoqian Wang,Xin Yuan,Henghui Ding,Yulun Zhang,Radu Timofte,Luc Van Gool | |
Active Surrogate Estimators: An Active Learning Approach to Label-Efficient Model Evaluation | Jannik Kossen,Sebastian Farquhar,Yarin Gal,Thomas Rainforth | |
Embrace the Gap: VAEs Perform Independent Mechanism Analysis | Patrik Reizinger,Luigi Gresele,Jack Brady,Julius Von Kügelgen,Dominik Zietlow,Bernhard Schölkopf,Georg Martius,Wieland Brendel,Michel Besserve | |
Diverse Weight Averaging for Out-of-Distribution Generalization | Alexandre Rame,Matthieu Kirchmeyer,Thibaud Rahier,Alain Rakotomamonjy,Patrick Gallinari,Matthieu Cord | |
A Unifying Framework for Online Optimization with Long-Term Constraints | Matteo Castiglioni,Andrea Celli,Alberto Marchesi,Giulia Romano,Nicola Gatti | |
Improving Intrinsic Exploration with Language Abstractions | Jesse Mu,Victor Zhong,Roberta Raileanu,Minqi Jiang,Noah Goodman,Tim Rocktäschel,Edward Grefenstette | |
Expected Improvement for Contextual Bandits | Hung Tran-the,Sunil Gupta,Santu Rana,Tuan Truong,Long Tran-Thanh,Svetha Venkatesh | |
Sharper Convergence Guarantees for Asynchronous SGD for Distributed and Federated Learning | Anastasiia Koloskova,Sebastian Stich,Martin Jaggi | |
Reinforcement Learning with Neural Radiance Fields | Danny Driess,Ingmar Schubert,Pete Florence,Yunzhu Li,Marc Toussaint | |
Measures of Information Reflect Memorization Patterns | Rachit Bansal,Danish Pruthi,Yonatan Belinkov | |
Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks | Agustinus Kristiadi,Runa Eschenhagen,Philipp Hennig | |
PDEBench: An Extensive Benchmark for Scientific Machine Learning | Makoto Takamoto,Timothy Praditia,Raphael Leiteritz,Daniel Mackinlay,Francesco Alesiani,Dirk Pflüger,Mathias Niepert | |
Confident Approximate Policy Iteration for Efficient Local Planning in $q^\pi$-realizable MDPs | Gellért Weisz,András György,Csaba Szepesvari | |
Wild-Time: A Benchmark of in-the-Wild Distribution Shift over Time | Huaxiu Yao, Caroline Choi,Yoonho Lee,Pang Wei Koh,Chelsea Finn | |
Envy-free Policy Teaching to Multiple Agents | Jiarui Gan,R Majumdar,Adish Singla,Goran Radanovic | |
Neural Set Function Extensions: Learning with Discrete Functions in High Dimensions | Nikolaos Karalias,Joshua Robinson,Andreas Loukas,Stefanie Jegelka | |
Spatial Mixture-of-Experts | Nikoli Dryden,Torsten Hoefler | |
Learning to Scaffold: Optimizing Model Explanations for Teaching | Patrick Fernandes,Marcos Treviso,Danish Pruthi,André Martins,Graham Neubig | |
Relaxing Equivariance Constraints with Non-stationary Continuous Filters | Tycho van der Ouderaa,David W. Romero,Mark Van Der Wilk | |
Asynchronous SGD Beats Minibatch SGD Under Arbitrary Delays | Blake Woodworth,Mathieu Even,Konstantin Mishchenko,Francis Bach | |
ConfLab: A Rich Multimodal Multisensor Dataset of Free-Standing Social Interactions In-the-Wild | Chirag A Raman,Jose Vargas Quiros,Stephanie Tan,Ashraful Islam,Ekin Gedik,Hayley Hung | |
Predicting Single-Cell Perturbation Responses for Unseen Drugs | Leon Hetzel,Simon Boehm,Niki Kilbertus,Stephan Günnemann,Mohammad Lotfollahi,Fabian Theis | |
Riemannian Score-Based Generative Modelling | Valentin De Bortoli,Emile Mathieu,Michael Hutchinson,James Thornton,Yee Whye Teh,Arnaud Doucet | |
Rotation-Equivariant Conditional Spherical Neural Fields for Learning a Natural Illumination Prior | James Gardner,Bernhard Egger,William Smith | |
Relational Language-Image Pre-training for Human-Object Interaction Detection | Hangjie Yuan,Jianwen Jiang,Samuel Albanie,Tao Feng,Ziyuan Huang,Dong Ni,Mingqian Tang | |
Bring Your Own Algorithm for Optimal Differentially Private Stochastic Minimax Optimization | Liang Zhang,Kiran Thekumparampil,Sewoong Oh,Niao He | |
Laplacian Autoencoders for Learning Stochastic Representations | Marco Miani,Frederik Warburg,Pablo Moreno-Muñoz,Nicki Skafte,Søren Hauberg | |
Chefs' Random Tables: Non-Trigonometric Random Features | Valerii Likhosherstov,Krzysztof M Choromanski,Kumar Avinava Dubey,Frederick Liu,Tamas Sarlos,Adrian Weller | |
Robust Binary Models by Pruning Randomly-initialized Networks | Chen Liu,Ziqi Zhao,Sabine Süsstrunk,Mathieu Salzmann | |
Tree Mover's Distance: Bridging Graph Metrics and Stability of Graph Neural Networks | Ching-yao Chuang,Stefanie Jegelka | |
In Defense of the Unitary Scalarization for Deep Multi-Task Learning | Vitaly Kurin,Alessandro De Palma,Ilya Kostrikov,Shimon Whiteson,Pawan K Mudigonda | |
A Best-of-Both-Worlds Algorithm for Bandits with Delayed Feedback | Saeed Masoudian, Julian Zimmert, Yevgeny Seldin | |
Composite Feature Selection Using Deep Ensembles | Alexander Norcliffe,Fergus Imrie,Pietro Lió,Mihaela Van Der Schaar | |
On the Epistemic Limits of Personalized Prediction | Lucas Monteiro Paes,Xuan Long,Berk Ustun,Flavio Calmon | |
Drawing out of Distribution with Neuro-Symbolic Generative Models | Yichao Liang,Josh Tenenbaum,Tuan Anh Le,Siddharth N | |
Unsupervised Multi-Object Segmentation by Predicting Probable Motion Patterns | Laurynas Karazija,Subhabrata Choudhury,Iro Laina,Christian Rupprecht,Andrea Vedaldi | |
Defining and Characterizing Reward Gaming | Joar Skalse,Nikolaus H R Howe,Dmitrii Krasheninnikov,David Krueger | |
ActionNet: A Multimodal Dataset for Human Activities Using Wearable Sensors in a Kitchen Environment | Joseph Delpreto,Chao Liu,Yiyue Luo,Michael Foshey,Yunzhu Li,Antonio Torralba,Wojciech Matusik,Daniela Rus | |
Probabilistic Transformer: Modelling Ambiguities and Distributions for RNA Folding and Molecule Design | Jörg Franke,Frederic Runge,Frank Hutter | |
Adaptive Stochastic Variance Reduction for Non-convex Finite-Sum Minimization | Ali Kavis,Efstratios Skoulakis,Kimon Antonakopoulos,Leello Tadesse Dadi,Volkan Cevher | |
Proximal Point Imitation Learning | Luca Viano,Angeliki Kamoutsi,Gergely Neu,Igor Krawczuk,Volkan Cevher | |
On the symmetries of the synchronization problem in Cryo-EM: Multi-Frequency Vector Diffusion Maps on the Projective Plane | Gabriele Cesa,Arash Behboodi,Taco Cohen,Max Welling | |
Stochastic Online Learning with Feedback Graphs: Finite-Time and Asymptotic Optimality | Teodor Vanislavov Marinov,Mehryar Mohri,Julian Zimmert | |
Increasing Confidence in Adversarial Robustness Evaluations | Roland S. Zimmermann,Wieland Brendel,Florian Tramer,Nicholas Carlini | |
The price of ignorance: how much does it cost to forget noise structure in low-rank matrix estimation? | Jean Barbier,Tianqi Hou,Marco Mondelli,Manuel Saenz | |
Memory Efficient Continual Learning with Transformers | Beyza Ermis,Giovanni Zappella,Martin Wistuba,Aditya Rawal,Cedric Archambeau | |
Basis Encoded Polynomial Neural Fields for Subband Decomposition | Guandao Yang,Sagie Benaim,Varun Jampani,Kyle Genova,Jonathan Barron,Thomas Funkhouser,Serge Belongie,Bharath Hariharan | |
Optimal Rates for Regularized Conditional Mean Embedding Learning | Zhu Li,Dimitri Meunier,Arthur Gretton | |
Efficient Risk-Averse Reinforcement Learning | Ido Greenberg,Yinlam Chow,Mohammad Ghavamzadeh,Shie Mannor | |
Multi-Fidelity Best-Arm Identification | Riccardo Poiani,Alberto Maria Metelli,Marcello Restelli | |
Bezier Gaussian Processes for Tall and Wide Data | Martin Jørgensen,Michael A Osborne | |
Causal Discovery in Linear Latent Variable Models Subject to Measurement Error | Yuqin Yang,Amiremad Ghassami,Mohamed Nafea,Negar Kiyavash,Kun Zhang,Ilya Shpitser |