Papers
Instance Mining with Class Feature Banks for Weakly Supervised Object Detection
Yufei Yin, Jiajun Deng, Wengang Zhou et al.
Integrated Optimization of Bipartite Matching and Its Stochastic Behavior: New Formulation and Approximation Algorithm via Min-cost Flow Optimization
Yuya Hikima, Yasunori Akagi, Hideaki Kim et al.
Integrating Pre-trained Model into Rule-based Dialogue Management
Jun Quan, Meng Yang, Qiang Gan et al.
Integrating Static and Dynamic Data for Improved Prediction of Cognitive Declines Using Augmented Genotype-Phenotype Representations
Hoon Seo, Lodewijk Brand, Hua Wang et al.
Intelligent Recommendations for Citizen Science
Daniel Ben Zaken, Kobi Gal, Guy Shani et al.
Interactive Speech and Noise Modeling for Speech Enhancement
Chengyu Zheng, Xiulian Peng, Yuan Zhang et al.
Interactive Video Object Mask Annotation
Trung-Nghia Le, Tam V. Nguyen, Quoc-Cuong Tran et al.
Interpretable Actions: Controlling Experts with Understandable Commands
Shumeet Baluja, David Marwood, Michele Covell
Interpretable Clustering on Dynamic Graphs with Recurrent Graph Neural Networks
Yuhang Yao, Carlee Joe-Wong
Interpretable Embedding Procedure Knowledge Transfer via Stacked Principal Component Analysis and Graph Neural Network
Seunghyun Lee, Byung Cheol Song
Interpretable NLG for Task-oriented Dialogue Systems with Heterogeneous Rendering Machines
Yangming Li, Kaisheng Yao
Interpretable Self-Supervised Facial Micro-Expression Learning to Predict Cognitive State and Neurological Disorders
Arun Das, Jeffrey Mock, Yufei Huang et al.
Interpretable Sequence Classification via Discrete Optimization
Maayan Shvo, Andrew C. Li, Rodrigo Toro Icarte et al.
Interpreting Deep Neural Networks with Relative Sectional Propagation by Analyzing Comparative Gradients and Hostile Activations
Woo-Jeoung Nam, Jaesik Choi, Seong-Whan Lee
Interpreting Multivariate Shapley Interactions in DNNs
Hao Zhang, Yichen Xie, Longjie Zheng et al.
Intrinsic Certified Robustness of Bagging against Data Poisoning Attacks
Jinyuan Jia, Xiaoyu Cao, Neil Zhenqiang Gong
Introduction to Machine Learning with Robots and Playful Learning
Viktoriya Olari, Kostadin Cvejoski, Øyvind Eide
Invariant Teacher and Equivariant Student for Unsupervised 3D Human Pose Estimation
Chenxin Xu, Siheng Chen, Maosen Li et al.
Inverse Reinforcement Learning From Like-Minded Teachers
Ritesh Noothigattu, Tom Yan, Ariel D. Procaccia
Inverse Reinforcement Learning with Explicit Policy Estimates
Navyata Sanghvi, Shinnosuke Usami, Mohit Sharma et al.
Inverse Reinforcement Learning with Natural Language Goals
Li Zhou, Kevin Small
Invertible Concept-based Explanations for CNN Models with Non-negative Concept Activation Vectors
Ruihan Zhang, Prashan Madumal, Tim Miller et al.