Papers
11,015 papers found
ResNet After All: Neural ODEs and Their Numerical Solution
Katharina Ott, Prateek Katiyar, Philipp Hennig et al.
Rethinking Architecture Selection in Differentiable NAS
Ruochen Wang, Minhao Cheng, Xiangning Chen et al.
Rethinking Attention with Performers
Krzysztof Marcin Choromanski, Valerii Likhosherstov, David Dohan et al.
Rethinking Embedding Coupling in Pre-trained Language Models
Hyung Won Chung, Thibault Fevry, Henry Tsai et al.
Rethinking Positional Encoding in Language Pre-training
Guolin Ke, Di He, Tie-Yan Liu
Rethinking Soft Labels for Knowledge Distillation: A Bias–Variance Tradeoff Perspective
Helong Zhou, Liangchen Song, Jiajie Chen et al.
Rethinking the Role of Gradient-based Attribution Methods for Model Interpretability
Suraj Srinivas, Francois Fleuret
Retrieval-Augmented Generation for Code Summarization via Hybrid GNN
Shangqing Liu, Yu Chen, Xiaofei Xie et al.
Return-Based Contrastive Representation Learning for Reinforcement Learning
Guoqing Liu, Chuheng Zhang, Li Zhao et al.
Revisiting Dynamic Convolution via Matrix Decomposition
Yunsheng Li, Yinpeng Chen, Xiyang Dai et al.
Revisiting Few-sample BERT Fine-tuning
Tianyi Zhang, Felix Wu, Arzoo Katiyar et al.
Revisiting Hierarchical Approach for Persistent Long-Term Video Prediction
Wonkwang Lee, Whie Jung, Han Zhang et al.
Revisiting Locally Supervised Learning: an Alternative to End-to-end Training
Yulin Wang, Zanlin Ni, Shiji Song et al.
Reweighting Augmented Samples by Minimizing the Maximal Expected Loss
Mingyang Yi, Lu Hou, Lifeng Shang et al.
R-GAP: Recursive Gradient Attack on Privacy
Junyi Zhu, Matthew B. Blaschko
Ringing ReLUs: Harmonic Distortion Analysis of Nonlinear Feedforward Networks
Christian H.X. Ali Mehmeti-Göpel, David Hartmann, Michael Wand
Risk-Averse Offline Reinforcement Learning
Núria Armengol Urpí, Sebastian Curi, Andreas Krause
RMSprop converges with proper hyper-parameter
Naichen Shi, Dawei Li, Mingyi Hong et al.
RNNLogic: Learning Logic Rules for Reasoning on Knowledge Graphs
Meng Qu, Junkun Chen, Louis-Pascal Xhonneux et al.
Robust and Generalizable Visual Representation Learning via Random Convolutions
Zhenlin Xu, Deyi Liu, Junlin Yang et al.
Robust Curriculum Learning: from clean label detection to noisy label self-correction
Tianyi Zhou, Shengjie Wang, Jeff Bilmes
Robust early-learning: Hindering the memorization of noisy labels
Xiaobo Xia, Tongliang Liu, Bo Han et al.
Robust Learning of Fixed-Structure Bayesian Networks in Nearly-Linear Time
Yu Cheng, Honghao Lin
Robust Overfitting may be mitigated by properly learned smoothening
Tianlong Chen, Zhenyu Zhang, Sijia Liu et al.
Robust Pruning at Initialization
Soufiane Hayou, Jean-Francois Ton, Arnaud Doucet et al.