Papers
Image Captioning with Multi-Context Synthetic Data
Feipeng Ma, Yizhou Zhou, Fengyun Rao et al.
Image Content Generation with Causal Reasoning
Xiaochuan Li, Baoyu Fan, Runze Zhang et al.
Image Safeguarding: Reasoning with Conditional Vision Language Model and Obfuscating Unsafe Content Counterfactually
Mazal Bethany, Brandon Wherry, Nishant Vishwamitra et al.
ImageSTEAM: Teacher Professional Development for Integrating Visual Computing into Middle School Lessons
Suren Jayasuriya, Kimberlee Swisher, Joshua D. Rego et al.
Imagine, Initialize, and Explore: An Effective Exploration Method in Multi-Agent Reinforcement Learning
Zeyang Liu, Lipeng Wan, Xinrui Yang et al.
Imitate the Good and Avoid the Bad: An Incremental Approach to Safe Reinforcement Learning
Huy Hoang, Tien Mai, Pradeep Varakantham
Imitation of Life: A Search Engine for Biologically Inspired Design
Hen Emuna, Nadav Borenstein, Xin Qian et al.
Impartial Adversarial Distillation: Addressing Biased Data-Free Knowledge Distillation via Adaptive Constrained Optimization
Dongping Liao, Xitong Gao, Chengzhong Xu
Implications of Distance over Redistricting Maps: Central and Outlier Maps
Seyed A. Esmaeili, Darshan Chakrabarti, Hayley Grape et al.
Implicit Modeling of Non-rigid Objects with Cross-Category Signals
Yuchun Liu, Benjamin Planche, Meng Zheng et al.
Improved Anonymous Multi-Agent Path Finding Algorithm
Zain Alabedeen Ali, Konstantin Yakovlev
Improved Bandits in Many-to-One Matching Markets with Incentive Compatibility
Fang Kong, Shuai Li
Improved Graph Contrastive Learning for Short Text Classification
Yonghao Liu, Lan Huang, Fausto Giunchiglia et al.
Improved Metric Distortion via Threshold Approvals
Elliot Anshelevich, Aris Filos-Ratsikas, Christopher Jerrett et al.
Improved MLP Point Cloud Processing with High-Dimensional Positional Encoding
Yanmei Zou, Hongshan Yu, Zhengeng Yang et al.
Improve Robustness of Reinforcement Learning against Observation Perturbations via l∞ Lipschitz Policy Networks
Buqing Nie, Jingtian Ji, Yangqing Fu et al.
Improving Audio-Visual Segmentation with Bidirectional Generation
Dawei Hao, Yuxin Mao, Bowen He et al.
Improving Automatic VQA Evaluation Using Large Language Models
Oscar Mañas, Benno Krojer, Aishwarya Agrawal
Improving Autonomous Separation Assurance through Distributed Reinforcement Learning with Attention Networks
Marc W. Brittain, Luis E. Alvarez, Kara Breeden
Improving Cross-Modal Alignment with Synthetic Pairs for Text-Only Image Captioning
Zhiyue Liu, Jinyuan Liu, Fanrong Ma
Improving Diffusion-Based Image Restoration with Error Contraction and Error Correction
Qiqi Bao, Zheng Hui, Rui Zhu et al.
Improving Distinguishability of Class for Graph Neural Networks
Dongxiao He, Shuwei Liu, Meng Ge et al.
Improving Expressive Power of Spectral Graph Neural Networks with Eigenvalue Correction
Kangkang Lu, Yanhua Yu, Hao Fei et al.
Improving Factual Error Correction by Learning to Inject Factual Errors
Xingwei He, Qianru Zhang, A-Long Jin et al.
Improving Faithfulness in Abstractive Text Summarization with EDUs Using BART (Student Abstract)
Narjes Delpisheh, Yllias Chali