All Papers

Pathologies of Predictive Diversity in Deep Ensembles

Geoff Pleiss, Taiga Abe, E. Kelly Buchanan et al.

Pathology-knowledge Enhanced Multi-instance Prompt Learning for Few-shot Whole Slide Image Classification

Linhao Qu, Dingkang Yang, Dan Huang et al.

Paths, Proofs, and Perfection: Developing a Human-Interpretable Proof System for Constrained Shortest Paths

Konstantin Sidorov, Gonçalo Homem de Almeida Correia, Mathijs de Weerdt et al.

Pausing Policy Learning in Non-stationary Reinforcement Learning

Hyunin Lee, Ming Jin, Javad Lavaei et al.

PAV: Personalized Head Avatar from Unstructured Video Collection

Akin Caliskan, Berkay Kicanaoglu, H K

Pay Attention to Target: Relation-Aware Temporal Consistency for Domain Adaptive Video Semantic Segmentation

Huayu Mai, Rui Sun, Yuan Wang et al.

Paying More Attention to Images: A Training-Free Method for Alleviating Hallucination in LVLMs

Shi Liu, Kecheng Zheng, Wei Chen

Pay to (Not) Play: Monetizing Impatience in Mobile Games

Taylor Lundy, Narun Raman, Hu Fu et al.

PBADet: A One-Stage Anchor-Free Approach for Part-Body Association

Zhongpai Gao, Huayi Zhou, Abhishek Sharma et al.

PB-LLM: Partially Binarized Large Language Models

Zhihang Yuan, Yuzhang Shang, Zhen Dong

PBWR: Parametric-Building-Wireframe Reconstruction from Aerial LiDAR Point Clouds

Shangfeng Huang, Ruisheng Wang, Bo Guo et al.

PC-Conv: Unifying Homophily and Heterophily with Two-Fold Filtering

Bingheng Li, Erlin Pan, Zhao Kang

PCE-Palm: Palm Crease Energy Based Two-Stage Realistic Pseudo-Palmprint Generation

Lei Shen, Jianlong Jin, Ruixin Zhang et al.

PCF-Lift: Panoptic Lifting by Probabilistic Contrastive Fusion

Runsong Zhu, Shi Qiu, Qianyi Wu et al.

PcLast: Discovering Plannable Continuous Latent States

ANURAG KOUL, Shivakanth Sujit, Shaoru Chen et al.

PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion

Yige Yuan, Bingbing Xu, Bo Lin et al.

PDF: A Probability-Driven Framework for Open World 3D Point Cloud Semantic Segmentation

Jinfeng Xu, Siyuan Yang, Xianzhi Li et al.

PDHG-Unrolled Learning-to-Optimize Method for Large-Scale Linear Programming

Bingheng Li, Linxin Yang, Yupeng Chen et al.

PDiscoFormer: Relaxing Part Discovery Constraints with Vision Transformers

Ananthu Aniraj, Cassio F. Dantas, Dino Ienco et al.

PDT Uav Target Detection Dataset for Pests and Diseases Tree

Mingle Zhou, Rui Xing, Delong Han et al.

PEA-Diffusion: Parameter-Efficient Adapter with Knowledge Distillation in non-English Text-to-Image Generation

Jian Ma, Chen Chen, Qingsong Xie et al.

PEARL: Zero-shot Cross-task Preference Alignment and Robust Reward Learning for Robotic Manipulation

Runze Liu, Yali Du, Fengshuo Bai et al.

Pedestrian Attribute Recognition as Label-balanced Multi-label Learning

Yibo Zhou, Hai-Miao Hu, Yirong Xiang et al.

Pedro Zuidberg Dos Martires

PEEKABOO: Interactive Video Generation via Masked-Diffusion

Yash Jain, Anshul Nasery, Vibhav Vineet et al.

Peeking with PEAK: Sequential, Nonparametric Composite Hypothesis Tests for Means of Multiple Data Streams

Brian Cho, Kyra Gan, Nathan Kallus

PeerAiD: Improving Adversarial Distillation from a Specialized Peer Tutor

Jaewon Jung, Hongsun Jang, Jaeyong Song et al.

Peering Through Preferences: Unraveling Feedback Acquisition for Aligning Large Language Models

Hritik Bansal, John Dang, Aditya Grover

Peer Learning: Learning Complex Policies in Groups from Scratch via Action Recommendations

Cedric Derstroff, Jannis Brugger, Mattia Cerrato et al.

Peer Neighborhood Mechanisms: A Framework for Mechanism Generalization

Adam Richardson, Boi Faltings

PeFLL: Personalized Federated Learning by Learning to Learn

Jonathan Scott, Hossein Zakerinia, Christoph Lampert

PEGASUS: Personalized Generative 3D Avatars with Composable Attributes

Hyunsoo Cha, Byungjun Kim, Hanbyul Joo

PELA: Learning Parameter-Efficient Models with Low-Rank Approximation

Yangyang Guo, Guangzhi Wang, Mohan Kankanhalli

PeLK: Parameter-efficient Large Kernel ConvNets with Peripheral Convolution

Honghao Chen, Xiangxiang Chu, Renyongjian et al.

PEM: Prototype-based Efficient MaskFormer for Image Segmentation

Niccolò Cavagnero, Gabriele Rosi, Claudia Cuttano et al.

PerAda: Parameter-Efficient Federated Learning Personalization with Generalization Guarantees

Chulin Xie, De-An Huang, Wenda Chu et al.

Percentile Risk-Constrained Budget Pacing for Guaranteed Display Advertising in Online Optimization

Liang Dai, Kejie Lyu, Chengcheng Zhang et al.

PerceptAnon: Exploring the Human Perception of Image Anonymization Beyond Pseudonymization for GDPR

Kartik Patwari, Chen-Nee Chuah, Lingjuan Lyu et al.

PerceptionCLIP: Visual Classification by Inferring and Conditioning on Contexts

Bang An, Sicheng Zhu, Michael-Andrei Panaitescu-Liess et al.

PerceptionGPT: Effectively Fusing Visual Perception into LLM

Renjie Pi, Lewei Yao, Jiahui Gao et al.

Perception-Oriented Video Frame Interpolation via Asymmetric Blending

Guangyang Wu, Xin Tao, Changlin Li et al.

Perceptual Assessment and Optimization of HDR Image Rendering

Peibei Cao, Rafal Mantiuk, Kede Ma

Perceptual Evaluation of Audio-Visual Synchrony Grounded in Viewers’ Opinion Scores

Lucas Goncalves, Prashant Mathur, Chandrashekhar Lavania et al.

Perceptual Group Tokenizer: Building Perception with Iterative Grouping

Zhiwei Deng, Ting Chen, Yang Li

Perceptual Scales Predicted by Fisher Information Metrics

Jonathan Vacher, Pascal Mamassian

Perfect Alignment May be Poisonous to Graph Contrastive Learning

Jingyu Liu, Huayi Tang, Yong Liu

PerFedRLNAS: One-for-All Personalized Federated Neural Architecture Search

Dixi Yao, Baochun Li

Performance Bounds for Active Binary Testing with Information Maximization

Aditya Chattopadhyay, Benjamin Haeffele, Rene Vidal et al.

Performance Gaps in Multi-view Clustering under the Nested Matrix-Tensor Model

Hugo Lebeau, Mohamed El Amine Seddik, José Henrique Goulart

Performative Federated Learning: A Solution to Model-Dependent and Heterogeneous Distribution Shifts

Kun Jin, Tongxin Yin, Zhongzhu Chen et al.