Papers
Zero-Shot Reward Specification via Grounded Natural Language
Parsa Mahmoudieh, Deepak Pathak, Trevor Darrell
12-Lead ECG Reconstruction via Koopman Operators
Tomer Golany, Kira Radinsky, Daniel Freedman et al.
1-bit Adam: Communication Efficient Large-Scale Training with Adam’s Convergence Speed
Hanlin Tang, Shaoduo Gan, Ammar Ahmad Awan et al.
A Bit More Bayesian: Domain-Invariant Learning with Uncertainty
Zehao Xiao, Jiayi Shen, Xiantong Zhen et al.
Accelerate CNNs from Three Dimensions: A Comprehensive Pruning Framework
Wenxiao Wang, Minghao Chen, Shuai Zhao et al.
Accelerating Feedforward Computation via Parallel Nonlinear Equation Solving
Yang Song, Chenlin Meng, Renjie Liao et al.
Accelerating Gossip SGD with Periodic Global Averaging
Yiming Chen, Kun Yuan, Yingya Zhang et al.
Accelerating Safe Reinforcement Learning with Constraint-mismatched Baseline Policies
Tsung-Yen Yang, Justinian Rosca, Karthik Narasimhan et al.
Acceleration via Fractal Learning Rate Schedules
Naman Agarwal, Surbhi Goel, Cyril Zhang
Accumulated Decoupled Learning with Gradient Staleness Mitigation for Convolutional Neural Networks
Huiping Zhuang, Zhenyu Weng, Fulin Luo et al.
Accuracy, Interpretability, and Differential Privacy via Explainable Boosting
Harsha Nori, Rich Caruana, Zhiqi Bu et al.
Accuracy on the Line: on the Strong Correlation Between Out-of-Distribution and In-Distribution Generalization
John P Miller, Rohan Taori, Aditi Raghunathan et al.
Accurate Post Training Quantization With Small Calibration Sets
Itay Hubara, Yury Nahshan, Yair Hanani et al.
ACE: Explaining cluster from an adversarial perspective
Yang Young Lu, Timothy C Yu, Giancarlo Bonora et al.
Achieving Near Instance-Optimality and Minimax-Optimality in Stochastic and Adversarial Linear Bandits Simultaneously
Chung-Wei Lee, Haipeng Luo, Chen-Yu Wei et al.
A Collective Learning Framework to Boost GNN Expressiveness for Node Classification
Mengyue Hang, Jennifer Neville, Bruno Ribeiro
Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills
Yevgen Chebotar, Karol Hausman, Yao Lu et al.
Active Covering
Heinrich Jiang, Afshin Rostamizadeh
Active Deep Probabilistic Subsampling
Hans Van Gorp, Iris Huijben, Bastiaan S Veeling et al.
Active Feature Acquisition with Generative Surrogate Models
Yang Li, Junier Oliva
Active Learning for Distributionally Robust Level-Set Estimation
Yu Inatsu, Shogo Iwazaki, Ichiro Takeuchi
Active Learning of Continuous-time Bayesian Networks through Interventions
Dominik Linzner, Heinz Koeppl
Active Slices for Sliced Stein Discrepancy
Wenbo Gong, Kaibo Zhang, Yingzhen Li et al.
Active Testing: Sample-Efficient Model Evaluation
Jannik Kossen, Sebastian Farquhar, Yarin Gal et al.