Papers
Just Train Twice: Improving Group Robustness without Training Group Information
Evan Z Liu, Behzad Haghgoo, Annie S Chen et al.
KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge Distillation
Haozhe Feng, Zhaoyang You, Minghao Chen et al.
Kernel-Based Reinforcement Learning: A Finite-Time Analysis
Omar Darwiche Domingues, Pierre Menard, Matteo Pirotta et al.
Kernel Continual Learning
Mohammad Mahdi Derakhshani, Xiantong Zhen, Ling Shao et al.
Kernel Stein Discrepancy Descent
Anna Korba, Pierre-Cyril Aubin-Frankowski, Szymon Majewski et al.
Keyframe-Focused Visual Imitation Learning
Chuan Wen, Jierui Lin, Jianing Qian et al.
KNAS: Green Neural Architecture Search
Jingjing Xu, Liang Zhao, Junyang Lin et al.
Knowledge Enhanced Machine Learning Pipeline against Diverse Adversarial Attacks
Nezihe Merve Gürel, Xiangyu Qi, Luka Rimanic et al.
KO codes: inventing nonlinear encoding and decoding for reliable wireless communication via deep-learning
Ashok V Makkuva, Xiyang Liu, Mohammad Vahid Jamali et al.
K-shot NAS: Learnable Weight-Sharing for NAS with K-shot Supernets
Xiu Su, Shan You, Mingkai Zheng et al.
Label Distribution Learning Machine
Jing Wang, Xin Geng
Label Inference Attacks from Log-loss Scores
Abhinav Aggarwal, Shiva Kasiviswanathan, Zekun Xu et al.
Label-Only Membership Inference Attacks
Christopher A. Choquette-Choo, Florian Tramer, Nicholas Carlini et al.
LAMDA: Label Matching Deep Domain Adaptation
Trung Le, Tuan Nguyen, Nhat Ho et al.
Large-Margin Contrastive Learning with Distance Polarization Regularizer
Shuo Chen, Gang Niu, Chen Gong et al.
Large-Scale Meta-Learning with Continual Trajectory Shifting
Jaewoong Shin, Hae Beom Lee, Boqing Gong et al.
Large-Scale Multi-Agent Deep FBSDEs
Tianrong Chen, Ziyi O Wang, Ioannis Exarchos et al.
Large Scale Private Learning via Low-rank Reparametrization
Da Yu, Huishuai Zhang, Wei Chen et al.
LARNet: Lie Algebra Residual Network for Face Recognition
Xiaolong Yang, Xiaohong Jia, Dihong Gong et al.
Latent Programmer: Discrete Latent Codes for Program Synthesis
Joey Hong, David Dohan, Rishabh Singh et al.
Learn2Hop: Learned Optimization on Rough Landscapes
Amil Merchant, Luke Metz, Samuel S Schoenholz et al.
Learner-Private Convex Optimization
Jiaming Xu, Kuang Xu, Dana Yang
Learning and Planning in Average-Reward Markov Decision Processes
Yi Wan, Abhishek Naik, Richard S Sutton
Learning and Planning in Complex Action Spaces
Thomas Hubert, Julian Schrittwieser, Ioannis Antonoglou et al.