Papers
11,955 papers found
Rhino: Deep Causal Temporal Relationship Learning with History-dependent Noise
Wenbo Gong, Joel Jennings, Cheng Zhang et al.
Riemannian Metric Learning via Optimal Transport
Christopher Scarvelis, Justin Solomon
Risk-Aware Reinforcement Learning with Coherent Risk Measures and Non-linear Function Approximation
Thanh Lam, Arun Verma, Bryan Kian Hsiang Low et al.
RLx2: Training a Sparse Deep Reinforcement Learning Model from Scratch
Yiqin Tan, Pihe Hu, Ling Pan et al.
Robust Active Distillation
Cenk Baykal, Khoa Trinh, Fotis Iliopoulos et al.
Robust Algorithms on Adaptive Inputs from Bounded Adversaries
Yeshwanth Cherapanamjeri, Sandeep Silwal, David Woodruff et al.
Robust and Controllable Object-Centric Learning through Energy-based Models
Ruixiang ZHANG, Tong Che, Boris Ivanovic et al.
Robust Explanation Constraints for Neural Networks
Matthew Robert Wicker, Juyeon Heo, Luca Costabello et al.
Robust Fair Clustering: A Novel Fairness Attack and Defense Framework
Anshuman Chhabra, Peizhao Li, Prasant Mohapatra et al.
Robust Graph Dictionary Learning
Weijie Liu, Jiahao Xie, Chao Zhang et al.
Robust Multivariate Time-Series Forecasting: Adversarial Attacks and Defense Mechanisms
Linbo Liu, Youngsuk Park, Trong Nghia Hoang et al.
Robustness to corruption in pre-trained Bayesian neural networks
Xi Wang, Laurence Aitchison
Robust Scheduling with GFlowNets
David W Zhang, Corrado Rainone, Markus Peschl et al.
ROCO: A General Framework for Evaluating Robustness of Combinatorial Optimization Solvers on Graphs
Han Lu, Zenan Li, Runzhong Wang et al.
RoPAWS: Robust Semi-supervised Representation Learning from Uncurated Data
Sangwoo Mo, Jong-Chyi Su, Chih-Yao Ma et al.
ROSCOE: A Suite of Metrics for Scoring Step-by-Step Reasoning
Olga Golovneva, Moya Peng Chen, Spencer Poff et al.
Rotamer Density Estimator is an Unsupervised Learner of the Effect of Mutations on Protein-Protein Interaction
Shitong Luo, Yufeng Su, Zuofan Wu et al.
RPM: Generalizable Multi-Agent Policies for Multi-Agent Reinforcement Learning
Wei Qiu, Xiao Ma, Bo An et al.
Safe Exploration Incurs Nearly No Additional Sample Complexity for Reward-Free RL
Ruiquan Huang, Jing Yang, Yingbin Liang
Safe Reinforcement Learning From Pixels Using a Stochastic Latent Representation
Yannick Hogewind, Thiago D. Simão, Tal Kachman et al.
SAM as an Optimal Relaxation of Bayes
Thomas Möllenhoff, Mohammad Emtiyaz Khan
SAMoSSA: Multivariate Singular Spectrum Analysis with Stochastic Autoregressive Noise
Abdullah Alomar, Munther Dahleh, Sean Mann et al.
Sample Complexity of Nonparametric Off-Policy Evaluation on Low-Dimensional Manifolds using Deep Networks
Xiang Ji, Minshuo Chen, Mengdi Wang et al.
Sample-Efficient Reinforcement Learning by Breaking the Replay Ratio Barrier
Pierluca D'Oro, Max Schwarzer, Evgenii Nikishin et al.