Papers
Progressive Multi-modal Knowledge Distillation for Multi-spectral Object Re-identification
Aihua Zheng, Pengyu Li, Zi Wang et al.
ProLoG: Hybrid Prompt and LoRA Based Adaptation of Vision-Language Models for OOD Generalization
Jungwuk Park, Dong-Jun Han, Jaekyun Moon
Prometheus: Unsupervised Discovery of Phase Transitions and Order Parameters in the 2D Ising Model Using Variational Autoencoders (Student Abstract)
Brandon Yee, Wilson Collins, Caden Wang et al.
PROMISE: Prompt-Attentive Hierarchical Contrastive Learning for Robust Cross-Modal Representation with Missing Modalities
Jiajun Chen, Sai Cheng, Yuan Yutao et al.
Promises Made, Promises Kept: Safe Pareto Improvements via Ex Post Verifiable Commitments
Nathaniel Sauerberg, Caspar Oesterheld
Promoting Efficient Reasoning with Verifiable Stepwise Reward
Chuhuai Yue, Chengqi Dong, Yinan Gao et al.
Promoting Sustainable Web Agents: Benchmarking and Estimating Energy Consumption Through Empirical and Theoretical Analysis
Lars Krupp, Daniel Geißler, Vishal Banwari et al.
PromptEmo: Learning Emotion with Bilateral Textual Prompts in Multi-Domain Open-set Scenarios
Xinyi Zeng, Yuxiang Yang, Pinxian Zeng et al.
Prompting Adversarial Transferability via Path Flatness Attack
Zeze Tao, Jinjia Peng, Huibing Wang
PromptMoE: Generalizable Zero-Shot Anomaly Detection via Visually-Guided Prompt Mixtures
Yuheng Shao, Lizhang Wang, Changhao Li et al.
Promptus: Can Prompt Streaming Replace Video Streaming
Jiangkai Wu, Liming Liu, Yunpeng Tan et al.
Proof Systems for Tensor-based Model Counting
Olaf Beyersdorff, Joachim Giesen, Andreas Goral et al.
Proof Systems That Tightly Characterise Model Counting Algorithms
Olaf Beyersdorff, Tim Hoffmann, Kaspar Kasche
ProPL: Universal Semi-Supervised Ultrasound Image Segmentation via Prompt-Guided Pseudo-Labeling
Yaxiong Chen, Qicong Wang, Chunlei Li et al.
ProRec-Video: Guiding Hierarchical Interest Transitions for Proactive Short Video Recommendation with Dynamic Feedback Adaptation
Weizhi Chen, Baoyun Peng, Bo Liu et al.
ProRefine: Inference-Time Prompt Refinement with Textual Feedback (Student Abstract)
Deepak Pandita, Tharindu Cyril Weerasooriya, Ankit Shah et al.
Prototype-Based Semantic Consistency Alignment for Domain Adaptive Retrieval
Tianle Hu, Weijun Lv, Na Han et al.
Prototype-Driven Active Domain Adaptation with Density Consideration
Zeyu Zhang, Chun Shen, Qiang Ma et al.
Prototype Entropy Alignment: Reinforcing Structured Uncertainty in LLM Reasoning
Zhengyuan Pan, Yanhao Chen, Zhongquan Jian et al.
Prototype-Guided Supervision for Graph Learning with Noisy and Sparse Labels
Qiyu Li, Xianxian Li, De Li et al.
ProtSAE: Disentangling and Interpreting Protein Language Models via Semantically-Guided Sparse Autoencoders
Xiangyu Liu, Haodi Lei, Yi Liu et al.
Provably Data-Driven Projection Method for Quadratic Programming
Anh Tuan Nguyen, Viet Anh Nguyen
Provably Efficient Multi-Objective Bandit Algorithms Under Preference-Centric Customization
Linfeng Cao, Ming Shi, Ness B. Shroff
ProxyTTT: Proxy-driven Test-Time Training for Multi-modal Re-identification
Aihua Zheng, Zhaojun Liu, Xixi Wan et al.
Proxy Zero-Shot Hashing with Multimodal Fusion via Stable Diffusion
Hui Zhang, Weikang Gao, Tao Yang et al.