All Papers

PromptMRG: Diagnosis-Driven Prompts for Medical Report Generation

Haibo Jin, Haoxuan Che, Yi Lin et al.

Prompt Risk Control: A Rigorous Framework for Responsible Deployment of Large Language Models

Thomas Zollo, Todd Morrill, Zhun Deng et al.

Prompt Sketching for Large Language Models

Luca Beurer-Kellner, Mark Müller, Marc Fischer et al.

Prompt to Transfer: Sim-to-Real Transfer for Traffic Signal Control with Prompt Learning

Longchao Da, Minquan Gao, Hua Wei et al.

PromptTTS 2: Describing and Generating Voices with Text Prompt

Yichong Leng, ZHifang Guo, Kai Shen et al.

Prompt-tuning Latent Diffusion Models for Inverse Problems

Hyungjin Chung, Jong Chul YE, Peyman Milanfar et al.

Propagation Tree Is Not Deep: Adaptive Graph Contrastive Learning Approach for Rumor Detection

Proper Laplacian Representation Learning

Diego Gomez, Michael Bowling, Marlos C. Machado

Proportional Aggregation of Preferences for Sequential Decision Making

Nikhil Chandak, Shashwat Goel, Dominik Peters

Proportional Representation in Metric Spaces and Low-Distortion Committee Selection

Yusuf Kalayci, David Kempe, Vikram Kher

Propose, Assess, Search: Harnessing LLMs for Goal-Oriented Planning in Instructional Videos

Mohaiminul Islam, Tushar Nagarajan, Huiyu Wang et al.

Prospective Side Information for Latent MDPs

Jeongyeol Kwon, Yonathan Efroni, Shie Mannor et al.

Prospector Heads: Generalized Feature Attribution for Large Models & Data

Gautam Machiraju, Alexander Derry, Arjun Desai et al.

ProS: Prompting-to-simulate Generalized knowledge for Universal Cross-Domain Retrieval

Fang Kaipeng, Jingkuan Song, Lianli Gao et al.

ProSub: Probabilistic Open-Set Semi-Supervised Learning with Subspace-Based Out-of-Distribution Detection

Erik Wallin, Lennart Svensson, Fredrik Kahl et al.

Prot2Text: Multimodal Protein’s Function Generation with GNNs and Transformers

Hadi Abdine, Michail Chatzianastasis, Costas Bouyioukos et al.

Protecting NeRFs' Copyright via Plug-And-Play Watermarking Base Model

Qi Song, Ziyuan Luo, Ka Chun Cheung et al.

ProTeCt: Prompt Tuning for Taxonomic Open Set Classification

Tz-Ying Wu, Chih-Hui Ho, Nuno Vasconcelos

Protect Your Score: Contact-Tracing with Differential Privacy Guarantees

Rob Romijnders, Christos Louizos, Yuki Asano et al.

Protein Conformation Generation via Force-Guided SE(3) Diffusion Models

YAN WANG, Lihao Wang, Yuning Shen et al.

Protein Discovery with Discrete Walk-Jump Sampling

Nathan Frey, Dan Berenberg, Karina Zadorozhny et al.

Protein-ligand binding representation learning from fine-grained interactions

Shikun Feng, Minghao Li, Yinjun JIA et al.

Protein-Ligand Interaction Prior for Binding-aware 3D Molecule Diffusion Models

Zhilin Huang, Ling Yang, Xiangxin Zhou et al.

Protein Multimer Structure Prediction via Prompt Learning

Ziqi Gao, Xiangguo SUN, Zijing Liu et al.

Proteus: Exploring Protein Structure Generation for Enhanced Designability and Efficiency

chentong wang, Yannan Qu, Zhangzhi Peng et al.

ProTIP: Probabilistic Robustness Verification on Text-to-Image Diffusion Models against Stochastic Perturbation

Yi Zhang, Yun Tang, Wenjie Ruan et al.

ProtoComp: Diverse Point Cloud Completion with Controllable Prototype

Xumin Yu, Yanbo Wang, Jie Zhou et al.

ProtoGate: Prototype-based Neural Networks with Global-to-local Feature Selection for Tabular Biomedical Data

Xiangjian Jiang, Andrei Margeloiu, Nikola Simidjievski et al.

Prototypical Information Bottlenecking and Disentangling for Multimodal Cancer Survival Prediction

Yilan Zhang, Yingxue XU, Jianqi Chen et al.

Prototypical Transformer As Unified Motion Learners

Cheng Han, Yawen Lu, Guohao Sun et al.

Provable and Practical: Efficient Exploration in Reinforcement Learning via Langevin Monte Carlo

Haque Ishfaq, Qingfeng Lan, Pan Xu et al.

Provable Benefits of Local Steps in Heterogeneous Federated Learning for Neural Networks: A Feature Learning Perspective

Yajie Bao, Michael Crawshaw, Mingrui Liu

Provable Benefits of Multi-task RL under Non-Markovian Decision Making Processes

Ruiquan Huang, Yuan Cheng, Jing Yang et al.

Provable Compositional Generalization for Object-Centric Learning

Thaddäus Wiedemer, Jack Brady, Alexander Panfilov et al.

Provable Contrastive Continual Learning

Yichen Wen, Zhiquan Tan, Kaipeng Zheng et al.

Provable Interactive Learning with Hindsight Instruction Feedback

Dipendra Misra, Aldo Pacchiano, Robert Schapire

Provable Memory Efficient Self-Play Algorithm for Model-free Reinforcement Learning

Na Li, Yuchen Jiao, Hangguan Shan et al.

Provable Multi-Task Representation Learning by Two-Layer ReLU Neural Networks

Liam Collins, Hamed Hassani, Mahdi Soltanolkotabi et al.

Provable Offline Preference-Based Reinforcement Learning

Wenhao Zhan, Masatoshi Uehara, Nathan Kallus et al.

Provable Privacy with Non-Private Pre-Processing

Yaxi Hu, Amartya Sanyal, Bernhard Schölkopf

Provable Representation with Efficient Planning for Partially Observable Reinforcement Learning

Hongming Zhang, Tongzheng Ren, Chenjun Xiao et al.

Provable Reward-Agnostic Preference-Based Reinforcement Learning

Wenhao Zhan, Masatoshi Uehara, Wen Sun et al.

Provable Risk-Sensitive Distributional Reinforcement Learning with General Function Approximation

Yu Chen, XiangCheng Zhang, Siwei Wang et al.

Provable Robust Watermarking for AI-Generated Text

Xuandong Zhao, Prabhanjan Ananth, Lei Li et al.

Provably Better Explanations with Optimized Aggregation of Feature Attributions

Thomas Decker, Ananta Bhattarai, Jindong Gu et al.

Provably Convergent Federated Trilevel Learning

Yang Jiao, Kai YANG, Tiancheng Wu et al.

Provably Efficient CVaR RL in Low-rank MDPs

Yulai Zhao, Wenhao Zhan, Xiaoyan Hu et al.

Provably Efficient Exploration in Quantum Reinforcement Learning with Logarithmic Worst-Case Regret

Han Zhong, Jiachen Hu, Yecheng Xue et al.

Provably Efficient Iterated CVaR Reinforcement Learning with Function Approximation and Human Feedback

Yu Chen, Yihan Du, Pihe Hu et al.

Provably Efficient Long-Horizon Exploration in Monte Carlo Tree Search through State Occupancy Regularization

Liam Schramm, Abdeslam Boularias