Papers
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 Probabilistic Embeddings for Uncertainty Estimation in Vision-Language Models
Zhenxiang Lin, Maryam Haghighat, Will Browne 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
Introducing Decomposed Causality with Spatiotemporal Object-Centric Representation for Video Classification
Yachong Zhang, Lei Meng, Shuo Xu et al.
Introducing Visual Scenes and Reasoning: A More Realistic Benchmark for Spoken Language Understanding
Di Wu, Liting Jiang, Ruiyu Fang et al.
Intuitive Thinking: Expanding Large Language Models’ Thinking for Rapid Decision-Making on Candidate Corrections in Chinese Grammar Error Correction
Lintao Long, Ruizhang Huang, Ruina Bai et al.
Invariant Conditional Molecular Generation Under Distribution Shift
Chunyu Hu, Tianyin Liao, Yicheng Sui et al.
Invariant Feature Learning for Counterfactual Watch-time Prediction in Video Recommendation
Chenghou Jin, Yixin Ren, Hongxu Ma et al.
Invariant Representation Learning for Memory Behavior Modeling via Adaptive Environment Separation
Xiaoxuan Shen, Zhihai Hu, Fuqing Li et al.
Inverse Optimal Transport for Efficient Adaptation of Vision-Language Models
Shupeng Qiu, Chuan-Xian Ren
Investigating Data Pruning for Pretraining Biological Foundation Models at Scale
Yifan Wu, Jiyue Jiang, Xichen Ye et al.
Investigating Gender Stereotypes in Large Language Models via Social Determinants of Health
Trung Hieu Ngo, Adrien Bazoge, Solen Quiniou et al.
Investigating Language and Retrieval Bias in Multilingual Previously Fact-Checked Claim Detection
Ivan Vykopal, Antonia Karamolegkou, Jaroslav Kopčan et al.
Investigating Prosocial Behavior Theory in LLM Agents Under Policy-Induced Inequities
Yujia Zhou, Hexi Wang, Qingyao Ai et al.
Investigating Social Bias Propagation in Federated Fine-tuning of Large Language Models
Jiaxu Zhao, Meng Fang, Mingze Zhong et al.
Investigating the Multilingual Calibration Effects of Language Model Instruction Tuning
Jerry Huang, Peng Lu, Qiuhao Zeng et al.
Investigating Vaccine Buyer’s Remorse: Post-Vaccination Decision Regret in COVID-19 Social Media Using Politically Diverse Human Annotation
Miles Stanley, Soumyajit Datta, Ashutosh Kumar et al.