Papers
11,951 papers found
Towards Continual Knowledge Learning of Language Models
Joel Jang, Seonghyeon Ye, Sohee Yang et al.
Towards Deepening Graph Neural Networks: A GNTK-based Optimization Perspective
Wei Huang, Yayong Li, weitao Du et al.
Towards Deployment-Efficient Reinforcement Learning: Lower Bound and Optimality
Jiawei Huang, Jinglin Chen, Li Zhao et al.
Towards Empirical Sandwich Bounds on the Rate-Distortion Function
Yibo Yang, Stephan Mandt
Towards Evaluating the Robustness of Neural Networks Learned by Transduction
Jiefeng Chen, Xi Wu, Yang Guo et al.
Towards General Function Approximation in Zero-Sum Markov Games
Baihe Huang, Jason D. Lee, Zhaoran Wang et al.
Towards Model Agnostic Federated Learning Using Knowledge Distillation
Andrei Afonin, Sai Praneeth Karimireddy
Towards Training Billion Parameter Graph Neural Networks for Atomic Simulations
Anuroop Sriram, Abhishek Das, Brandon M Wood et al.
Towards Trustworthy Automatic Diagnosis Systems by Emulating Doctors' Reasoning with Deep Reinforcement Learning
Arsene Fansi Tchango, Rishab Goel, Julien Martel et al.
Towards Understanding Generalization via Decomposing Excess Risk Dynamics
Jiaye Teng, Jianhao Ma, Yang Yuan
Towards Understanding the Data Dependency of Mixup-style Training
Muthu Chidambaram, Xiang Wang, Yuzheng Hu et al.
Towards Understanding the Robustness Against Evasion Attack on Categorical Data
Hongyan Bao, Yufei Han, Yujun Zhou et al.
TPU-GAN: Learning temporal coherence from dynamic point cloud sequences
Zijie Li, Tianqin Li, Amir Barati Farimani
Tracking the risk of a deployed model and detecting harmful distribution shifts
Aleksandr Podkopaev, Aaditya Ramdas
TRAIL: Near-Optimal Imitation Learning with Suboptimal Data
Mengjiao Yang, Sergey Levine, Ofir Nachum
Training Data Generating Networks: Shape Reconstruction via Bi-level Optimization
Biao Zhang, Peter Wonka
Training invariances and the low-rank phenomenon: beyond linear networks
Thien Le, Stefanie Jegelka
Training Structured Neural Networks Through Manifold Identification and Variance Reduction
Zih-Syuan Huang, Ching-pei Lee
Training Transition Policies via Distribution Matching for Complex Tasks
JU-SEUNG BYUN, Andrew Perrault
Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation
Ofir Press, Noah Smith, Mike Lewis
Trans-Encoder: Unsupervised sentence-pair modelling through self- and mutual-distillations
Fangyu Liu, Yunlong Jiao, Jordan Massiah et al.
Transferable Adversarial Attack based on Integrated Gradients
Yi Huang, Adams Wai-Kin Kong
Transfer RL across Observation Feature Spaces via Model-Based Regularization
Yanchao Sun, Ruijie Zheng, Xiyao Wang et al.
Transform2Act: Learning a Transform-and-Control Policy for Efficient Agent Design
Ye Yuan, Yuda Song, Zhengyi Luo et al.
Transformer-based Transform Coding
Yinhao Zhu, Yang Yang, Taco Cohen