Papers
Intention-Aware Diffusion Model for Pedestrian Trajectory Prediction
Yu Liu, Zhijie Liu, Xiao Ren et al.
Intention Chain-of-Thought Prompting with Dynamic Routing for Code Generation
Shen Li, Li Huang, Shaoxiong Zhan et al.
Intention-Guided Cognitive Reasoning for Egocentric Long-Term Action Anticipation
Qiaohui Chu, Haoyu Zhang, Meng Liu et al.
Intention Knowledge Graph Construction for User Intention Relation Modeling
Jiaxin Bai, Zhaobo Wang, Junfei Cheng et al.
IntentMotion: Learning Intent-Aware Human Motion from Language in 3D Scenes
Wenfeng Song, Shi Zheng, Xinyu Zhang et al.
InteracTalker: Prompt-Based Human-Object Interaction with Co-Speech Gesture Generation
Sreehari Rajan, Kunal Bhosikar, Charu Sharma
Interaction-via-Actions: Cattle Interaction Detection with Joint Learning of Action-Interaction Latent Space
Ren Nakagawa, Yang Yang, Risa Shinoda et al.
Interactive Evaluation of Large Language Models for Multi-Requirement Software Engineering Tasks
Dimitrios Rontogiannis, Maxime Peyrard, Nicolas Baldwin et al.
Inter-Client Dependency Recovery with Hidden Global Components for Federated Traffic Prediction
Hang Zhou, Wentao Yu, Yang Wei et al.
InterCoser: Interactive 3D Character Creation with Disentangled Fine-Grained Features
Yi Wang, Jian Ma, Zhuo Su et al.
Interest-driven Deep Multi-modal Clustering
Guoliang Zou, Tongji Chen, Sijia Li et al.
Interest-Shift-Aware Logical Reasoning for Efficient Long-Sequence Recommendation
Fei Li, Qingyun Gao, Enneng Yang et al.
Interleaved Vision-and-Language Generation via Generative Voken
Kaizhi Zheng, Xuehai He, Xin Eric Wang
Intermediate N-Gramming: Deterministic and Fast N-Grams for Large N and Large Datasets
Ryan R. Curtin, Fred Lu, Edward Raff et al.
InterMoE: Individual-Specific 3D Human Interaction Generation via Dynamic Temporal-Selective MoE
Lipeng Wang, Hongxing Fan, Haohua Chen et al.
Interpretable Adversarial Reinforcement Learning
Oliver Chang
Interpretable and Robust Behavior Abstraction via Environment-Disentangled Heterogeneous Graph
Zhibin Ni, Hai Wan, Xibin Zhao
Interpretable Graph-Language Modeling for Detecting Youth Illicit Drug Use
Yiyang Li, Zehong Wang, Zhengqing Yuan et al.
Interpretable Machine Learning for In-Home Mild Cognitive Impairment Detection
Budhitama Subagdja, Shanthoshigaa D, Ah-Hwee Tan et al.
Interpretable Reward Model via Sparse Autoencoder
Shuyi Zhang, Wei Shi, Sihang Li et al.
Interpreting Capsule Networks for Image Classification by Routing Path Visualization (Abstract Reprint)
Amanjot Bhullar, Michael Czomko, R. Ayesha Ali et al.
Interpreting Fedspeak with Confidence: A LLM-Based Uncertainty-Aware Framework Guided by Monetary Policy Transmission Paths
Rui Yao, Qi Chai, Jinhai Yao et al.
Intervention-Aware Time Series Modeling: Capturing and Evaluating Feature Dependencies
Ibrahim Delibasoglu, Sanjay Chakraborty, Fredrik Heintz et al.
InTimeAD: Interactive Time Series Anomaly Detection
Louis Carpentier, Wannes Meert, Mathias Verbeke