Papers
21,849 papers found
A Synthetic Dataset for Personal Attribute Inference
Hanna Yukhymenko, Robin Staab, Mark Vero et al.
A Systematic Review of NeurIPS Dataset Management Practices
Yiwei Wu, Leah Ajmani, Shayne Longpre et al.
A Taxonomy of Challenges to Curating Fair Datasets
Dora Zhao, Morgan Klaus Scheuerman, Pooja Chitre et al.
A teacher-teacher framework for clinical language representation learning
Feiqing Huang, Shenghan Zhang, Sara Morini Sweet et al.
A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image Analysis
Yue Yang, Mona Gandhi, Yufei Wang et al.
A theoretical case-study of Scalable Oversight in Hierarchical Reinforcement Learning
Tom Yan, Zachary Lipton
A theoretical design of concept sets: improving the predictability of concept bottleneck models
Max Ruiz Luyten, Mihaela van der Schaar
A Theoretical Perspective for Speculative Decoding Algorithm
Ming Yin, Minshuo Chen, Kaixuan Huang et al.
A Theoretical Understanding of Self-Correction through In-context Alignment
Yifei Wang, Yuyang Wu, Zeming Wei et al.
A Theory of Optimistically Universal Online Learnability for General Concept Classes
Steve Hanneke, Hongao Wang
Atlas3D: Physically Constrained Self-Supporting Text-to-3D for Simulation and Fabrication
Yunuo Chen, Tianyi Xie, Zeshun Zong et al.
A Topology-aware Graph Coarsening Framework for Continual Graph Learning
Xiaoxue Han, Zhuo Feng, Yue Ning
A Tractable Inference Perspective of Offline RL
Xuejie Liu, Anji Liu, Guy Van den Broeck et al.
Attack-Aware Noise Calibration for Differential Privacy
Bogdan Kulynych, Juan Felipe Gomez, Georgios Kaissis et al.
Attack-Resilient Image Watermarking Using Stable Diffusion
Lijun Zhang, Xiao Liu, Antoni Viros Martin et al.
Attention boosted Individualized Regression
Guang Yang, Yuan Cao, Long Feng
Attention Temperature Matters in ViT-Based Cross-Domain Few-Shot Learning
Yixiong Zou, Ran Ma, Yuhua Li et al.
AttnDreamBooth: Towards Text-Aligned Personalized Text-to-Image Generation
Lianyu Pang, Jian Yin, Baoquan Zhao et al.
Attractor Memory for Long-Term Time Series Forecasting: A Chaos Perspective
Jiaxi Hu, Yuehong Hu, Wei Chen et al.
A two-scale Complexity Measure for Deep Learning Models
Massimiliano Datres, Gian Paolo Leonardi, Alessio Figalli et al.
AUC Maximization under Positive Distribution Shift
Atsutoshi Kumagai, Tomoharu Iwata, Hiroshi Takahashi et al.
AUCSeg: AUC-oriented Pixel-level Long-tail Semantic Segmentation
Boyu Han, Qianqian Xu, Zhiyong Yang et al.
AuctionNet: A Novel Benchmark for Decision-Making in Large-Scale Games
Kefan Su, Yusen Huo, Zhilin Zhang et al.
AudioMarkBench: Benchmarking Robustness of Audio Watermarking
Hongbin Liu, Moyang Guo, Zhengyuan Jiang et al.
Auditing Local Explanations is Hard
Robi Bhattacharjee, Ulrike von Luxburg