Papers
ProbTS: Benchmarking Point and Distributional Forecasting across Diverse Prediction Horizons
Jiawen Zhang, Xumeng Wen, Zhenwei Zhang et al.
Procedure-Aware Surgical Video-language Pretraining with Hierarchical Knowledge Augmentation
Kun Yuan, Vinkle Srivastav, Nassir Navab et al.
PRODuctive bandits: Importance Weighting No More
Julian Zimmert, Teodor V. Marinov
ProEdit: Simple Progression is All You Need for High-Quality 3D Scene Editing
Jun-Kun Chen, Yu-Xiong Wang
ProG: A Graph Prompt Learning Benchmark
Chenyi Zi, Haihong Zhao, Xiangguo Sun et al.
ProgressGym: Alignment with a Millennium of Moral Progress
Tianyi Qiu, Yang Zhang, Xuchuan Huang et al.
Progressive Entropic Optimal Transport Solvers
Parnian Kassraie, Aram-Alexandre Pooladian, Michal Klein et al.
Progressive Exploration-Conformal Learning for Sparsely Annotated Object Detection in Aerial Images
Zihan Lu, Chenxu Wang, Chunyan Xu et al.
Prompt-Agnostic Adversarial Perturbation for Customized Diffusion Models
Cong Wan, Yuhang He, Xiang Song et al.
PromptFix: You Prompt and We Fix the Photo
Yongsheng Yu, Ziyun Zeng, Hang Hua et al.
Prompt Optimization with EASE? Efficient Ordering-aware Automated Selection of Exemplars
Zhaoxuan Wu, Xiaoqiang Lin, Zhongxiang Dai et al.
Prompt Tuning Strikes Back: Customizing Foundation Models with Low-Rank Prompt Adaptation
Abhinav Jain, Swarat Chaudhuri, Thomas Reps et al.
Propensity Score Alignment of Unpaired Multimodal Data
Johnny Xi, Jana Osea, Zuheng (David) Xu et al.
Proportional Fairness in Clustering: A Social Choice Perspective
Leon Kellerhals, Jannik Peters
Proportional Fairness in Non-Centroid Clustering
Ioannis Caragiannis, Evi Micha, Nisarg Shah
Prospective Learning: Learning for a Dynamic Future
Ashwin De Silva, Rahul Ramesh, Rubing Yang et al.
Prospective Representation Learning for Non-Exemplar Class-Incremental Learning
Wuxuan Shi, Mang Ye
PROSPECT PTMs: Rich Labeled Tandem Mass Spectrometry Dataset of Modified Peptides for Machine Learning in Proteomics
Wassim Gabriel, Omar Shouman, Ayla Schroeder et al.
ProSST: Protein Language Modeling with Quantized Structure and Disentangled Attention
Mingchen Li, Yang Tan, Xinzhu Ma et al.
Protected Test-Time Adaptation via Online Entropy Matching: A Betting Approach
Yarin Bar, Shalev Shaer, Yaniv Romano
Protecting Your LLMs with Information Bottleneck
Zichuan Liu, Zefan Wang, Linjie Xu et al.
Protein-Nucleic Acid Complex Modeling with Frame Averaging Transformer
Tinglin Huang, Zhenqiao Song, Rex Ying et al.
ProtGO: Function-Guided Protein Modeling for Unified Representation Learning
Bozhen Hu, Cheng Tan, Yongjie Xu et al.
Prototypical Hash Encoding for On-the-Fly Fine-Grained Category Discovery
Haiyang Zheng, Nan Pu, Wenjing Li et al.