Paper Papers

5,964 papers found • Page 53 of 120

Prediction-Feedback DETR for Temporal Action Detection

Jihwan Kim, Miso Lee, Cheol-Ho Cho et al.

AAAI 2025paperarXiv:2408.16729
6
citations

Preference-Oriented Supervised Fine-Tuning: Favoring Target Model over Aligned Large Language Models

Yuchen Fan, Yuzhong Hong, Qiushi Wang et al.

AAAI 2025paperarXiv:2412.12865
5
citations

PrefPalette: Personalized Preference Modeling with Latent Attributes

Shuyue Stella Li, Melanie Sclar, Hunter Lang et al.

COLM 2025paperarXiv:2507.13541
5
citations

PresenceLens: Interpreting Dynamic Presence in Virtual Reality

Hayeon Kim, In-Kwon Lee

ISMAR 2025paper

Pretrained Hybrids with MAD Skills

Nicholas Roberts, Samuel Guo, Zhiqi Gao et al.

COLM 2025paper

Pre-Trained Vision-Language Models as Noisy Partial Annotators

Qian-Wei Wang, Yuqiu Xie, Letian Zhang et al.

AAAI 2025paper

Pre-training a Density-Aware Pose Transformer for Robust LiDAR-based 3D Human Pose Estimation

Xiaoqi An, Lin Zhao, Chen Gong et al.

AAAI 2025paperarXiv:2412.13454
1
citations

Pre-Training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck

Van Thuy Hoang, O-Joun Lee

AAAI 2025paperarXiv:2412.15589
9
citations

Pretraining on the Test Set Is No Longer All You Need: A Debate-Driven Approach to QA Benchmarks

Linbo Cao, Jinman Zhao

COLM 2025paperarXiv:2507.17747
3
citations

PriFold: Biological Priors Improve RNA Secondary Structure Predictions

Chenchen Yang, Hao Wu, Tao Shen et al.

AAAI 2025paper

Prior-Constrained Association Learning for Fine-Grained Generalized Category Discovery

Menglin Wang, Zhun Zhong, Xiaojin Gong

AAAI 2025paperarXiv:2502.09501
2
citations

Prior-guided Hierarchical Harmonization Network for Efficient Image Dehazing

Xiongfei Su, Siyuan Li, Yuning Cui et al.

AAAI 2025paperarXiv:2503.01136
16
citations

Privacy-and-Utility-Aware Publishing of Schedules

Maike Basmer, Stephan A. Fahrenkrog-Petersen, Ali Kaan Tutak et al.

AAAI 2025paper

Privacy-Preserving Low-Rank Adaptation Against Membership Inference Attacks for Latent Diffusion Models

Zihao Luo, Xilie Xu, Feng Liu et al.

AAAI 2025paperarXiv:2402.11989

Privacy-Preserving V2X Collaborative Perception Integrating Unknown Collaborators

Bin Lu, Xinyu Xiao, Changzhou Zhang et al.

AAAI 2025paper

Private Blotto: Viewpoint Competition with Polarized Agents

Kate Donahue, Jon Kleinberg

AAAI 2025paperarXiv:2302.14123
3
citations

Privately Learning from Graphs with Applications in Fine-tuning Large Language Models

Haoteng Yin, Rongzhe Wei, Eli Chien et al.

COLM 2025paperarXiv:2410.08299
1
citations

PrivateXR: Defending Privacy Attacks in Extended Reality Through Explainable AI-Guided Differential Privacy

Ripan Kumar Kundu, Istiak Ahmed, Khaza Anuarul Hoque

ISMAR 2025paperarXiv:2512.16851

PrivDNFIS: Privacy-preserving and Efficient Deep Neuro-Fuzzy Inference System

Hao Ren, Xiao Lan, Rui Tang et al.

AAAI 2025paper

Proactive and Reactive Constraint Programming for Stochastic Project Scheduling with Maximal Time-Lags

Kim van den Houten, Léon Planken, Esteban Freydell et al.

AAAI 2025paperarXiv:2409.09107

Probabilistic Explanations for Linear Models

Bernardo Subercaseaux, Marcelo Arenas, Kuldeep S. Meel

AAAI 2025paperarXiv:2501.00154

Probabilistic Forecasting of Irregularly Sampled Time Series with Missing Values via Conditional Normalizing Flows

Vijaya Krishna Yalavarthi, Randolf Scholz, Stefan Born et al.

AAAI 2025paper
2
citations

Probabilistic Shielding for Safe Reinforcement Learning

Edwin Hamel-De le Court, Francesco Belardinelli, Alexander W. Goodall

AAAI 2025paperarXiv:2503.07671

Probabilistic Strategy Logic with Degrees of Observability

Chunyan Mu, Nima Motamed, Natasha Alechina et al.

AAAI 2025paperarXiv:2412.15135

Probabilistic Verification of Cybersickness in Virtual Reality Through Bayesian Networks

Peng Wu, Nasim Ahmed, Abhiram Sarma et al.

ISMAR 2025paper
2
citations

Probability-Density-aware Semi-supervised Learning

Shuyang Liu, Ruiqiu Zheng, Yunhang Shen et al.

AAAI 2025paperarXiv:2412.17547

Probing Syntax in Large Language Models: Successes and Remaining Challenges

Pablo J. Diego Simon, Emmanuel Chemla, Jean-Remi King et al.

COLM 2025paperarXiv:2508.03211
2
citations

Probing then Editing Response Personality of Large Language Models

Tianjie Ju, Zhenyu Shao, Bowen Wang et al.

COLM 2025paperarXiv:2504.10227
3
citations

Procedure Knowledge Decoupled Distillation Strategy for Procedure Planning in Instructional Videos

Xiaotian Pan, Zhaobo Qi, Xin Sun et al.

AAAI 2025paper

ProcTag: Process Tagging for Assessing the Efficacy of Document Instruction Data

Yufan Shen, Chuwei Luo, Zhaoqing Zhu et al.

AAAI 2025paperarXiv:2407.12358
6
citations

Progressive Distribution Matching for Federated Semi-Supervised Learning

Dongping Liao, Xitong Gao, Yabo Xu et al.

AAAI 2025paper

Progressive Multi-granular Alignments for Grounded Reasoning in Large Vision-Language Models

Quang-Hung Le, Long Hoang Dang, Ngan Hoang Le et al.

AAAI 2025paperarXiv:2412.08125
3
citations

Progressive Self-Learning for Domain Adaptation on Symbolic Regression of Integer Sequences

Yaohui Zhu, Kaiming Sun, Zhengdong Luo et al.

AAAI 2025paper

Promising Multi-Granularity Linguistic Steganography by Jointing Syntactic and Lexical Manipulations

Chengfu Ou, Lingyun Xiang, Yangfan Liu

AAAI 2025paper

Promoting Knowledge Base Question Answering by Directing LLMs to Generate Task-relevant Logical Forms

Jianqi Gao, Jian Cao, Ranran Bu et al.

AAAI 2025paper

Promptable Anomaly Segmentation with SAM Through Self-Perception Tuning

Hui-Yue Yang, Hui Chen, Ao Wang et al.

AAAI 2025paperarXiv:2411.17217

Promptable Representation Distribution Learning and Data Augmentation for Gigapixel Histopathology WSI Analysis

Kunming Tang, Zhiguo Jiang, Jun Shi et al.

AAAI 2025paperarXiv:2412.14473
2
citations

Prompt-based Unifying Inference Attack on Graph Neural Networks

Yuecen Wei, Xingcheng Fu, Lingyun Liu et al.

AAAI 2025paperarXiv:2412.15735
6
citations

Prompt Compression with Context-Aware Sentence Encoding for Fast and Improved LLM Inference

Barys Liskavets, Maxim Ushakov, Shuvendu Roy et al.

AAAI 2025paperarXiv:2409.01227
31
citations

PromptDet: A Lightweight 3D Object Detection Framework with LiDAR Prompts

Kun Guo, Qiang Ling

AAAI 2025paperarXiv:2412.12460

PromptHaze: Prompting Real-world Dehazing via Depth Anything Model

Tian Ye, Sixiang Chen, Haoyu Chen et al.

AAAI 2025paper

Prompt-Reverse Inconsistency: LLM Self-Inconsistency Beyond Generative Randomness and Prompt Paraphrasing

Jihyun Janice Ahn, Wenpeng Yin

COLM 2025paperarXiv:2504.01282
13
citations

Prompt-SID: Learning Structural Representation Prompt via Latent Diffusion for Single Image Denoising

Huaqiu Li, Wang Zhang, Xiaowan Hu et al.

AAAI 2025paperarXiv:2502.06432
3
citations

Prompt Tuning In a Compact Attribute Space

Shiyu Hou, Tianfei Zhou, Shuai Zhang et al.

AAAI 2025paper

Proof Simulation via Round-based Strategy Extraction for QBF

Leroy Chew

AAAI 2025paper

Proportionally Fair Makespan Approximation

Michal Feldman, Jugal Garg, Vishnu V. Narayan et al.

AAAI 2025paperarXiv:2412.08572
2
citations

Proportionally Fair Matching via Randomized Rounding

Sharmila Duppala, Nathaniel Grammel, Juan Luque et al.

AAAI 2025paperarXiv:2412.11238

Proportional Representation in Practice: Quantifying Proportionality in Ordinal Elections

Tuva Bardal, Markus Brill, David McCune et al.

AAAI 2025paper
6
citations

ProPose: Probabilistic 3D Human Pose Estimation with Instance-Level Distribution and Normalizing Flow

Jumin Han, Jun-Hee Kim, Seong-Whan Lee

AAAI 2025paper
1
citations

PROSAC: Provably Safe Certification for Machine Learning Models under Adversarial Attacks

Chen Feng, Ziquan Liu, Zhuo Zhi et al.

AAAI 2025paperarXiv:2402.02629
3
citations