Papers
Symmetric Machine Theory of Mind
Melanie Sclar, Graham Neubig, Yonatan Bisk
Synergy and Symmetry in Deep Learning: Interactions between the Data, Model, and Inference Algorithm
Lechao Xiao, Jeffrey Pennington
Tackling covariate shift with node-based Bayesian neural networks
Trung Q Trinh, Markus Heinonen, Luigi Acerbi et al.
Tackling Data Heterogeneity: A New Unified Framework for Decentralized SGD with Sample-induced Topology
Yan Huang, Ying Sun, Zehan Zhu et al.
TACTiS: Transformer-Attentional Copulas for Time Series
Alexandre Drouin, Étienne Marcotte, Nicolas Chapados
TAM: Topology-Aware Margin Loss for Class-Imbalanced Node Classification
Jaeyun Song, Joonhyung Park, Eunho Yang
Task-aware Privacy Preservation for Multi-dimensional Data
Jiangnan Cheng, Ao Tang, Sandeep Chinchali
Tell me why! Explanations support learning relational and causal structure
Andrew K Lampinen, Nicholas Roy, Ishita Dasgupta et al.
Temporal Difference Learning for Model Predictive Control
Nicklas A Hansen, Hao Su, Xiaolong Wang
Test-Time Training Can Close the Natural Distribution Shift Performance Gap in Deep Learning Based Compressed Sensing
Mohammad Zalbagi Darestani, Jiayu Liu, Reinhard Heckel
The Algebraic Path Problem for Graph Metrics
Enrique Fita Sanmartı́n, Sebastian Damrich, Fred Hamprecht
The CLRS Algorithmic Reasoning Benchmark
Petar Veličković, Adrià Puigdomènech Badia, David Budden et al.
The Combinatorial Brain Surgeon: Pruning Weights That Cancel One Another in Neural Networks
Xin Yu, Thiago Serra, Srikumar Ramalingam et al.
The Complexity of k-Means Clustering when Little is Known
Robert Ganian, Thekla Hamm, Viktoriia Korchemna et al.
The Dual Form of Neural Networks Revisited: Connecting Test Time Predictions to Training Patterns via Spotlights of Attention
Kazuki Irie, Róbert Csordás, Jürgen Schmidhuber
The dynamics of representation learning in shallow, non-linear autoencoders
Maria Refinetti, Sebastian Goldt
The Fundamental Price of Secure Aggregation in Differentially Private Federated Learning
Wei-Ning Chen, Christopher A Choquette Choo, Peter Kairouz et al.
The Geometry of Robust Value Functions
Kaixin Wang, Navdeep Kumar, Kuangqi Zhou et al.
The Importance of Non-Markovianity in Maximum State Entropy Exploration
Mirco Mutti, Riccardo De Santi, Marcello Restelli
The Infinite Contextual Graph Markov Model
Daniele Castellana, Federico Errica, Davide Bacciu et al.
The Multivariate Community Hawkes Model for Dependent Relational Events in Continuous-time Networks
Hadeel Soliman, Lingfei Zhao, Zhipeng Huang et al.
The Neural Race Reduction: Dynamics of Abstraction in Gated Networks
Andrew Saxe, Shagun Sodhani, Sam Jay Lewallen
The Poisson Binomial Mechanism for Unbiased Federated Learning with Secure Aggregation
Wei-Ning Chen, Ayfer Ozgur, Peter Kairouz
The Power of Exploiter: Provable Multi-Agent RL in Large State Spaces
Chi Jin, Qinghua Liu, Tiancheng Yu
The power of first-order smooth optimization for black-box non-smooth problems
Alexander Gasnikov, Anton Novitskii, Vasilii Novitskii et al.