Papers
11,015 papers found
On the Robustness of Safe Reinforcement Learning under Observational Perturbations
Zuxin Liu, Zijian Guo, Zhepeng Cen et al.
On the Saturation Effect of Kernel Ridge Regression
Yicheng Li, Haobo Zhang, Qian Lin
On the Sensitivity of Reward Inference to Misspecified Human Models
Joey Hong, Kush Bhatia, Anca Dragan
On the Soft-Subnetwork for Few-Shot Class Incremental Learning
Haeyong Kang, Jaehong Yoon, Sultan Rizky Hikmawan Madjid et al.
On The Specialization of Neural Modules
Devon Jarvis, Richard Klein, Benjamin Rosman et al.
On the Trade-Off between Actionable Explanations and the Right to be Forgotten
Martin Pawelczyk, Tobias Leemann, Asia Biega et al.
On the Usefulness of Embeddings, Clusters and Strings for Text Generation Evaluation
Tiago Pimentel, Clara Isabel Meister, Ryan Cotterell
On the Word Boundaries of Emergent Languages Based on Harris's Articulation Scheme
Ryo Ueda, Taiga Ishii, Yusuke Miyao
Open-Vocabulary Object Detection upon Frozen Vision and Language Models
Weicheng Kuo, Yin Cui, Xiuye Gu et al.
Optimal Activation Functions for the Random Features Regression Model
Jianxin Wang, José Bento
Optimal Conservative Offline RL with General Function Approximation via Augmented Lagrangian
Paria Rashidinejad, Hanlin Zhu, Kunhe Yang et al.
Optimal Transport for Offline Imitation Learning
Yicheng Luo, zhengyao jiang, Samuel Cohen et al.
Optimistic Exploration with Learned Features Provably Solves Markov Decision Processes with Neural Dynamics
Sirui Zheng, Lingxiao Wang, Shuang Qiu et al.
Optimizing Bi-Encoder for Named Entity Recognition via Contrastive Learning
Sheng Zhang, Hao Cheng, Jianfeng Gao et al.
Optimizing Spca-based Continual Learning: A Theoretical Approach
Chunchun Yang, Malik Tiomoko, Zengfu Wang
OPTQ: Accurate Quantization for Generative Pre-trained Transformers
Elias Frantar, Saleh Ashkboos, Torsten Hoefler et al.
Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing
Yunchong Song, Chenghu Zhou, Xinbing Wang et al.
Order Matters: Agent-by-agent Policy Optimization
Xihuai Wang, Zheng Tian, Ziyu Wan et al.
OTOv2: Automatic, Generic, User-Friendly
Tianyi Chen, Luming Liang, Tianyu DING et al.
Outcome-directed Reinforcement Learning by Uncertainty \& Temporal Distance-Aware Curriculum Goal Generation
Daesol Cho, Seungjae Lee, H. Jin Kim
Out-of-Distribution Detection and Selective Generation for Conditional Language Models
Jie Ren, Jiaming Luo, Yao Zhao et al.
Out-of-Distribution Detection based on In-Distribution Data Patterns Memorization with Modern Hopfield Energy
Jinsong Zhang, Qiang Fu, Xu Chen et al.
Out-of-distribution Detection with Implicit Outlier Transformation
Qizhou Wang, Junjie Ye, Feng Liu et al.
Out-of-distribution Representation Learning for Time Series Classification
Wang Lu, Jindong Wang, Xinwei Sun et al.
Over-parameterized Model Optimization with Polyak-{\L}ojasiewicz Condition
Yixuan Chen, Yubin Shi, Mingzhi Dong et al.