Papers
11,951 papers found
Reviewing Natural Language Processing Research
Kevin Cohen, Karën Fort, Margot Mieskes 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.
Robust Reinforcement Learning on State Observations with Learned Optimal Adversary
Huan Zhang, Hongge Chen, Duane S Boning et al.
RODE: Learning Roles to Decompose Multi-Agent Tasks
Tonghan Wang, Tarun Gupta, Anuj Mahajan et al.
SAFENet: A Secure, Accurate and Fast Neural Network Inference
Qian Lou, Yilin Shen, Hongxia Jin et al.
SALD: Sign Agnostic Learning with Derivatives
Matan Atzmon, Yaron Lipman
Saliency is a Possible Red Herring When Diagnosing Poor Generalization
Joseph D Viviano, Becks Simpson, Francis Dutil et al.
SaliencyMix: A Saliency Guided Data Augmentation Strategy for Better Regularization
A F M Shahab Uddin, Mst. Sirazam Monira, Wheemyung Shin et al.
Sample-Efficient Automated Deep Reinforcement Learning
Jörg K.H. Franke, Gregor Koehler, André Biedenkapp et al.
Sampling with Trusthworthy Constraints: A Variational Gradient Framework
Xingchao Liu, Xin Tong, Qiang Liu