Papers
IntelliProof: An Argumentation Network-based Conversational Helper for Organized Reflection
Kaveh Eskandari Miandoab, Katharine Kowalyshyn, Kabir Pamnani et al.
INTENT: Invariance and Discrimination-aware Noise Mitigation for Robust Composed Image Retrieval
Zhiwei Chen, Yupeng Hu, Zhiheng Fu et al.
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.
IntentMotion: Learning Intent-Aware Human Motion from Language in 3D Scenes
Wenfeng Song, Shi Zheng, Xinyu Zhang 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.
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 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
In-Token Rationality Optimization: Towards Accurate and Concise LLM Reasoning via Self-Feedback
Mingye Zhu, Yi Liu, Zheren Fu et al.
Intra-Class Unbiased Prototype Aggregation and Classifier Collaboration for Personalized Federated Learning
Hao Zheng, Shiyu Song, Zhigang Hu et al.
Intra-Image Mining and Symmetric Maximum Concept Matching for Few Shot Out-of-Distribution Detection
Kaixiang Chen, Pengfei Fang, Hui Xue