Papers
11,015 papers found
Learning Altruistic Behaviours in Reinforcement Learning without External Rewards
Tim Franzmeyer, Mateusz Malinowski, Joao F. Henriques
Learning a subspace of policies for online adaptation in Reinforcement Learning
Jean-Baptiste Gaya, Laure Soulier, Ludovic Denoyer
Learning Audio-Visual Speech Representation by Masked Multimodal Cluster Prediction
Bowen Shi, Wei-Ning Hsu, Kushal Lakhotia et al.
Learning-Augmented $k$-means Clustering
Jon C. Ergun, Zhili Feng, Sandeep Silwal et al.
Learning by Directional Gradient Descent
David Silver, Anirudh Goyal, Ivo Danihelka et al.
Learning Causal Models from Conditional Moment Restrictions by Importance Weighting
Masahiro Kato, Masaaki Imaizumi, Kenichiro McAlinn et al.
Learning Continuous Environment Fields via Implicit Functions
Xueting Li, Shalini De Mello, Xiaolong Wang et al.
Learning curves for continual learning in neural networks: Self-knowledge transfer and forgetting
Ryo Karakida, Shotaro Akaho
Learning Curves for Gaussian Process Regression with Power-Law Priors and Targets
Hui Jin, Pradeep Kr. Banerjee, Guido Montufar
Learning Curves for SGD on Structured Features
Blake Bordelon, Cengiz Pehlevan
Learning Discrete Structured Variational Auto-Encoder using Natural Evolution Strategies
Alon Berliner, Guy Rotman, Yossi Adi et al.
Learning Disentangled Representation by Exploiting Pretrained Generative Models: A Contrastive Learning View
Xuanchi Ren, Tao Yang, Yuwang Wang et al.
Learning Distributionally Robust Models at Scale via Composite Optimization
Farzin Haddadpour, Mohammad Mahdi Kamani, Mehrdad Mahdavi et al.
Learning Efficient Image Super-Resolution Networks via Structure-Regularized Pruning
Yulun Zhang, Huan Wang, Can Qin et al.
Learning Efficient Online 3D Bin Packing on Packing Configuration Trees
Hang Zhao, Yang Yu, Kai Xu
Learning Fast, Learning Slow: A General Continual Learning Method based on Complementary Learning System
Elahe Arani, Fahad Sarfraz, Bahram Zonooz
Learning Fast Samplers for Diffusion Models by Differentiating Through Sample Quality
Daniel Watson, William Chan, Jonathan Ho et al.
Learning Features with Parameter-Free Layers
Dongyoon Han, YoungJoon Yoo, Beomyoung Kim et al.
Learning Graphon Mean Field Games and Approximate Nash Equilibria
Kai Cui, Heinz Koeppl
Learning Hierarchical Structures with Differentiable Nondeterministic Stacks
Brian DuSell, David Chiang
Learning Long-Term Reward Redistribution via Randomized Return Decomposition
Zhizhou Ren, Ruihan Guo, Yuan Zhou et al.
Learning meta-features for AutoML
Herilalaina Rakotoarison, Louisot Milijaona, Andry RASOANAIVO et al.
Learning more skills through optimistic exploration
DJ Strouse, Kate Baumli, David Warde-Farley et al.