Poster Papers
24,624 papers found • Page 441 of 493
Conference
Private Zeroth-Order Nonsmooth Nonconvex Optimization
Qinzi Zhang, Hoang Tran, Ashok Cutkosky
Pro2SAM: Mask Prompt to SAM with Grid Points for Weakly Supervised Object Localization
Xi Yang, Songsong Duan, Nannan Wang et al.
Proactive Detection of Voice Cloning with Localized Watermarking
Robin San Roman, Pierre Fernandez, Hady Elsahar et al.
Proactive DP: A Multiple Target Optimization Framework for DP-SGD
Marten van Dijk, Nhuong Nguyen, Toan N. Nguyen et al.
Probabilistic Adaptation of Black-Box Text-to-Video Models
Sherry Yang, Yilun Du, Bo Dai et al.
Probabilistically Rewired Message-Passing Neural Networks
Chendi Qian, Andrei Manolache, Kareem Ahmed et al.
Probabilistic Conceptual Explainers: Trustworthy Conceptual Explanations for Vision Foundation Models
Hengyi Wang, Shiwei Tan, Hao Wang
Probabilistic Constrained Reinforcement Learning with Formal Interpretability
YANRAN WANG, QIUCHEN QIAN, David Boyle
Probabilistic Forecasting with Stochastic Interpolants and Föllmer Processes
Yifan Chen, Mark Goldstein, Mengjian Hua et al.
Probabilistic Generating Circuits - Demystified
Sanyam Agarwal, Markus Bläser
Probabilistic Image-Driven Traffic Modeling via Remote Sensing
Scott Workman, Armin Hadzic
Probabilistic Inference in Language Models via Twisted Sequential Monte Carlo
Stephen Zhao, Rob Brekelmans, Alireza Makhzani et al.
Probabilistic Routing for Graph-Based Approximate Nearest Neighbor Search
Kejing Lu, Chuan Xiao, Yoshiharu Ishikawa
Probabilistic Sampling of Balanced K-Means using Adiabatic Quantum Computing
Jan-Nico Zaech, Martin Danelljan, Tolga Birdal et al.
Probabilistic Self-supervised Representation Learning via Scoring Rules Minimization
Amirhossein Vahidi, Simon Schosser, Lisa Wimmer et al.
Probabilistic Speech-Driven 3D Facial Motion Synthesis: New Benchmarks Methods and Applications
Karren Yang, Anurag Ranjan, Jen-Hao Rick Chang et al.
Probabilistic Subgoal Representations for Hierarchical Reinforcement Learning
Vivienne Wang, Tinghuai Wang, wenyan yang et al.
Probabilistic Time Series Modeling with Decomposable Denoising Diffusion Model
Tijin Yan, Hengheng Gong, Yongping He et al.
Probabilistic Weather Forecasting with Deterministic Guidance-based Diffusion Model
Donggeun Yoon, Minseok Seo, Doyi Kim et al.
Probability Distribution of Hypervolume Improvement in Bi-objective Bayesian Optimization
Hao Wang, Kaifeng Yang, Michael Affenzeller
Probing Synergistic High-Order Interaction in Infrared and Visible Image Fusion
Naishan Zheng, Man Zhou, Jie Huang et al.
Probing the 3D Awareness of Visual Foundation Models
Mohamed El Banani, Amit Raj, Kevis-kokitsi Maninis et al.
ProCreate, Don't Reproduce! Propulsive Energy Diffusion for Creative Generation
Jack Lu, Ryan Teehan, Mengye Ren
ProDepth: Boosting Self-Supervised Multi-Frame Monocular Depth with Probabilistic Fusion
Sungmin Woo, Wonjoon Lee, Woo Jin Kim et al.
Prodigy: An Expeditiously Adaptive Parameter-Free Learner
Konstantin Mishchenko, Aaron Defazio
Producing and Leveraging Online Map Uncertainty in Trajectory Prediction
Xunjiang Gu, Guanyu Song, Igor Gilitschenski et al.
Profile Reconstruction from Private Sketches
Hao WU, Rasmus Pagh
PROGRAM: PROtotype GRAph Model based Pseudo-Label Learning for Test-Time Adaptation
Haopeng Sun, Lumin Xu, Sheng Jin et al.
Progress-Aware Online Action Segmentation for Egocentric Procedural Task Videos
Yuhan Shen, Ehsan Elhamifar
Progressive3D: Progressively Local Editing for Text-to-3D Content Creation with Complex Semantic Prompts
Xinhua Cheng, Tianyu Yang, Jianan Wang et al.
Progressive Classifier and Feature Extractor Adaptation for Unsupervised Domain Adaptation on Point Clouds
Zicheng Wang, Zhen Zhao, Yiming Wu et al.
Progressive Fourier Neural Representation for Sequential Video Compilation
Haeyong Kang, Jaehong Yoon, DaHyun Kim et al.
Progressive Inference: Explaining Decoder-Only Sequence Classification Models Using Intermediate Predictions
Sanjay Kariyappa, Freddy Lecue, Saumitra Mishra et al.
Progressive Pretext Task Learning for Human Trajectory Prediction
Xiaotong Lin, Tianming Liang, Jian-Huang Lai et al.
Progressive Proxy Anchor Propagation for Unsupervised Semantic Segmentation
Hyun Seok Seong, WonJun Moon, SuBeen Lee et al.
Progressive Semantic-Guided Vision Transformer for Zero-Shot Learning
Shiming Chen, Wenjin Hou, Salman Khan et al.
Projecting Molecules into Synthesizable Chemical Spaces
Shitong Luo, Wenhao Gao, Zuofan Wu et al.
Projecting Points to Axes: Oriented Object Detection via Point-Axis Representation
Zeyang Zhao, Qilong Xue, Yifan Bai et al.
Projecting Trackable Thermal Patterns for Dynamic Computer Vision
Mark Sheinin, Aswin C. Sankaranarayanan, Srinivasa G. Narasimhan
Projection-Free Online Convex Optimization with Time-Varying Constraints
Dan Garber, Ben Kretzu
Projection-Free Variance Reduction Methods for Stochastic Constrained Multi-Level Compositional Optimization
Wei Jiang, Sifan Yang, Wenhao Yang et al.
ProMark: Proactive Diffusion Watermarking for Causal Attribution
Vishal Asnani, John Collomosse, Tu Bui et al.
ProMerge: Prompt and Merge for Unsupervised Instance Segmentation
Dylan Li, Gyungin Shin
Prometheus: Inducing Fine-Grained Evaluation Capability in Language Models
Seungone Kim, Jamin Shin, yejin cho et al.
Promises and Pitfalls of Generative Masked Language Modeling: Theoretical Framework and Practical Guidelines
Yuchen Li, Alexandre Kirchmeyer, Aashay Mehta et al.
ProMotion: Prototypes As Motion Learners
Yawen Lu, Dongfang Liu, Qifan Wang et al.
Prompt3D: Random Prompt Assisted Weakly-Supervised 3D Object Detection
Xiaohong Zhang, Huisheng Ye, Jingwen Li et al.
Promptable Behaviors: Personalizing Multi-Objective Rewards from Human Preferences
Minyoung Hwang, Luca Weihs, Chanwoo Park et al.
PromptAD: Learning Prompts with only Normal Samples for Few-Shot Anomaly Detection
Xiaofan Li, Zhizhong Zhang, Xin Tan et al.
PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization
Xinyuan Wang, Chenxi Li, Zhen Wang et al.