Papers
Reservoir Computing meets Recurrent Kernels and Structured Transforms
Jonathan Dong, Ruben Ohana, Mushegh Rafayelyan et al.
A Feasible Level Proximal Point Method for Nonconvex Sparse Constrained Optimization
Digvijay Boob, Qi Deng, Guanghui Lan et al.
Hierarchical Patch VAE-GAN: Generating Diverse Videos from a Single Sample
Shir Gur, Sagie Benaim, Lior Wolf
Decisions, Counterfactual Explanations and Strategic Behavior
Stratis Tsirtsis, Manuel Gomez Rodriguez
RATT: Recurrent Attention to Transient Tasks for Continual Image Captioning
Riccardo Del Chiaro, Bartłomiej Twardowski, Andrew D. Bagdanov et al.
Probably Approximately Correct Constrained Learning
Luiz Chamon, Alejandro Ribeiro
AViD Dataset: Anonymized Videos from Diverse Countries
AJ Piergiovanni, Michael Ryoo
On the Equivalence between Online and Private Learnability beyond Binary Classification
Young Jung, Baekjin Kim, Ambuj Tewari
Interpolation Technique to Speed Up Gradients Propagation in Neural ODEs
Talgat Daulbaev, Alexandr Katrutsa, Larisa Markeeva et al.
Predictive coding in balanced neural networks with noise, chaos and delays
Jonathan Kadmon, Jonathan Timcheck, Surya Ganguli
Least Squares Regression with Markovian Data: Fundamental Limits and Algorithms
Dheeraj Nagaraj, Xian Wu, Guy Bresler et al.
End-to-End Learning and Intervention in Games
Jiayang Li, Jing Yu, Yu Nie et al.
Learning to Detect Objects with a 1 Megapixel Event Camera
Etienne Perot, Pierre de Tournemire, Davide Nitti et al.
Finite-Time Analysis for Double Q-learning
Huaqing Xiong, Lin Zhao, Yingbin Liang et al.
Numerically Solving Parametric Families of High-Dimensional Kolmogorov Partial Differential Equations via Deep Learning
Julius Berner, Markus Dablander, Philipp Grohs
Explicit Regularisation in Gaussian Noise Injections
Alexander Camuto, Matthew Willetts, Umut Simsekli et al.
Optimal Variance Control of the Score-Function Gradient Estimator for Importance-Weighted Bounds
Valentin Liévin, Andrea Dittadi, Anders Christensen et al.
Self-Supervised Visual Representation Learning from Hierarchical Grouping
Xiao Zhang, Michael Maire
Relative gradient optimization of the Jacobian term in unsupervised deep learning
Luigi Gresele, Giancarlo Fissore, Adrián Javaloy et al.
Simultaneously Learning Stochastic and Adversarial Episodic MDPs with Known Transition
Tiancheng Jin, Haipeng Luo
Convex optimization based on global lower second-order models
Nikita Doikov, Yurii Nesterov
Online Fast Adaptation and Knowledge Accumulation (OSAKA): a New Approach to Continual Learning
Massimo Caccia, Pau Rodriguez, Oleksiy Ostapenko et al.
Node Classification on Graphs with Few-Shot Novel Labels via Meta Transformed Network Embedding
Lin Lan, Pinghui Wang, Xuefeng Du et al.
Gaussian Gated Linear Networks
David Budden, Adam Marblestone, Eren Sezener et al.
Deep Reinforcement Learning with Stacked Hierarchical Attention for Text-based Games
Yunqiu Xu, Meng Fang, Ling Chen et al.