Papers
Image Captioning with Compositional Neural Module Networks
Junjiao Tian, Jean Oh
Image-to-Image Translation with Multi-Path Consistency Regularization
Jianxin Lin, Yingce Xia, Yijun Wang et al.
Imitation Learning from Video by Leveraging Proprioception
Faraz Torabi, Garrett Warnell, Peter Stone
Imitative Attacker Deception in Stackelberg Security Games
Thanh Nguyen, Haifeng Xu
Impact of Consuming Suggested Items on the Assessment of Recommendations in User Studies on Recommender Systems
Benedikt Loepp, Tim Donkers, Timm Kleemann et al.
Implicitly Coordinated Multi-Agent Path Finding under Destination Uncertainty: Success Guarantees and Computational Complexity (Extended Abstract)
Bernhard Nebel, Thomas Bolander, Thorsten Engesser et al.
Improved Algorithm on Online Clustering of Bandits
Shuai Li, Wei Chen, Shuai Li et al.
Improved Heuristics for Multi-Agent Path Finding with Conflict-Based Search
Jiaoyang Li, Ariel Felner, Eli Boyarski et al.
Improving Cross-Domain Performance for Relation Extraction via Dependency Prediction and Information Flow Control
Amir Pouran Ben Veyseh, Thien Nguyen, Dejing Dou
Improving Cross-lingual Entity Alignment via Optimal Transport
Shichao Pei, Lu Yu, Xiangliang Zhang
Improving Customer Satisfaction in Bike Sharing Systems through Dynamic Repositioning
Supriyo Ghosh, Jing Yu Koh, Patrick Jaillet
Improving Law Enforcement Daily Deployment Through Machine Learning-Informed Optimization under Uncertainty
Jonathan Chase, Duc Thien Nguyen, Haiyang Sun et al.
Improving Multilingual Sentence Embedding using Bi-directional Dual Encoder with Additive Margin Softmax
Yinfei Yang, Gustavo Hernandez Abrego, Steve Yuan et al.
Improving Nash Social Welfare Approximations
Jugal Garg, Peter McGlaughlin
Improving representation learning in autoencoders via multidimensional interpolation and dual regularizations
Sheng Qian, Guanyue Li, Wen-Ming Cao et al.
Improving the Robustness of Deep Neural Networks via Adversarial Training with Triplet Loss
Pengcheng Li, Jinfeng Yi, Bowen Zhou et al.
Incorporating Structural Information for Better Coreference Resolution
Fang Kong, Fu Jian
Incremental Elicitation of Rank-Dependent Aggregation Functions based on Bayesian Linear Regression
Nadjet Bourdache, Patrice Perny, Olivier Spanjaard
Incremental Few-Shot Learning for Pedestrian Attribute Recognition
Liuyu Xiang, Xiaoming Jin, Guiguang Ding et al.
Incremental Learning of Planning Actions in Model-Based Reinforcement Learning
Jun Hao Alvin Ng, Ronald P. A. Petrick
Indirect Trust is Simple to Establish
Elham Parhizkar, Mohammad Hossein Nikravan, Sandra Zilles
Inferring Substitutable Products with Deep Network Embedding
Shijie Zhang, Hongzhi Yin, Qinyong Wang et al.
Influence of State-Variable Constraints on Partially Observable Monte Carlo Planning
Alberto Castellini, Georgios Chalkiadakis, Alessandro Farinelli
Integrating Decision Sharing with Prediction in Decentralized Planning for Multi-Agent Coordination under Uncertainty
Minglong Li, Wenjing Yang, Zhongxuan Cai et al.
Integrating Knowledge and Reasoning in Image Understanding
Somak Aditya, Yezhou Yang, Chitta Baral