Papers
11,015 papers found
On Bridging Generic and Personalized Federated Learning for Image Classification
Hong-You Chen, Wei-Lun Chao
On Covariate Shift of Latent Confounders in Imitation and Reinforcement Learning
Guy Tennenholtz, Assaf Hallak, Gal Dalal et al.
On Distributed Adaptive Optimization with Gradient Compression
Xiaoyun Li, Belhal Karimi, Ping Li
One After Another: Learning Incremental Skills for a Changing World
Nur Muhammad Mahi Shafiullah, Lerrel Pinto
On Evaluation Metrics for Graph Generative Models
Rylee Thompson, Boris Knyazev, Elahe Ghalebi et al.
On feature learning in neural networks with global convergence guarantees
Zhengdao Chen, Eric Vanden-Eijnden, Joan Bruna
On Improving Adversarial Transferability of Vision Transformers
Muzammal Naseer, Kanchana Ranasinghe, Salman Khan et al.
On Incorporating Inductive Biases into VAEs
Ning Miao, Emile Mathieu, Siddharth N et al.
Online Ad Hoc Teamwork under Partial Observability
Pengjie Gu, Mengchen Zhao, Jianye Hao et al.
Online Adversarial Attacks
Andjela Mladenovic, Joey Bose, Hugo Berard et al.
Online Continual Learning on Class Incremental Blurry Task Configuration with Anytime Inference
Hyunseo Koh, Dahyun Kim, Jung-Woo Ha et al.
Online Coreset Selection for Rehearsal-based Continual Learning
Jaehong Yoon, Divyam Madaan, Eunho Yang et al.
Online Facility Location with Predictions
Shaofeng H.-C. Jiang, Erzhi Liu, You Lyu et al.
Online Hyperparameter Meta-Learning with Hypergradient Distillation
Hae Beom Lee, Hayeon Lee, JaeWoong Shin et al.
Online Target Q-learning with Reverse Experience Replay: Efficiently finding the Optimal Policy for Linear MDPs
Naman Agarwal, Syomantak Chaudhuri, Prateek Jain et al.
On Lottery Tickets and Minimal Task Representations in Deep Reinforcement Learning
Marc Vischer, Robert Tjarko Lange, Henning Sprekeler
On Non-Random Missing Labels in Semi-Supervised Learning
Xinting Hu, Yulei Niu, Chunyan Miao et al.
On-Policy Model Errors in Reinforcement Learning
Lukas Froehlich, Maksym Lefarov, Melanie Zeilinger et al.
On Predicting Generalization using GANs
Yi Zhang, Arushi Gupta, Nikunj Saunshi et al.
On Redundancy and Diversity in Cell-based Neural Architecture Search
Xingchen Wan, Binxin Ru, Pedro M Esperança et al.
On Robust Prefix-Tuning for Text Classification
Zonghan Yang, Yang Liu
On the approximation properties of recurrent encoder-decoder architectures
Zhong Li, Haotian Jiang, Qianxiao Li
On the benefits of maximum likelihood estimation for Regression and Forecasting
Pranjal Awasthi, Abhimanyu Das, Rajat Sen et al.
On the Certified Robustness for Ensemble Models and Beyond
Zhuolin Yang, Linyi Li, Xiaojun Xu et al.
On the Connection between Local Attention and Dynamic Depth-wise Convolution
Qi Han, Zejia Fan, Qi Dai et al.