Papers
Interactive Visualizations of Word Embeddings for K-12 Students
Saptarashmi Bandyopadhyay, Jason Xu, Neel Pawar et al.
Interpretable Clustering via Multi-Polytope Machines
Connor Lawless, Jayant Kalagnanam, Lam M Nguyen et al.
Interpretable Domain Adaptation for Hidden Subdomain Alignment in the Context of Pre-trained Source Models
Luxin Zhang, Pascal Germain, Yacine Kessaci et al.
Interpretable Generative Adversarial Networks
Chao Li, Kelu Yao, Jin Wang et al.
Interpretable Knowledge Tracing: Simple and Efficient Student Modeling with Causal Relations
Sein Minn, Jill-Jênn Vie, Koh Takeuchi et al.
Interpretable Low-Resource Legal Decision Making
Rohan Bhambhoria, Hui Liu, Samuel Dahan et al.
Interpretable Neural Subgraph Matching for Graph Retrieval
Indradyumna Roy, Venkata Sai Baba Reddy Velugoti, Soumen Chakrabarti et al.
Interpreting Gender Bias in Neural Machine Translation: Multilingual Architecture Matters
Marta R. Costa-jussà, Carlos Escolano, Christine Basta et al.
Interventional Multi-Instance Learning with Deconfounded Instance-Level Prediction
Tiancheng Lin, Hongteng Xu, Canqian Yang et al.
Intra-Inter Subject Self-Supervised Learning for Multivariate Cardiac Signals
Xiang Lan, Dianwen Ng, Shenda Hong et al.
Introducing Symmetries to Black Box Meta Reinforcement Learning
Louis Kirsch, Sebastian Flennerhag, Hado van Hasselt et al.
Introducing Variational Autoencoders to High School Students
Zhuoyue Lyu, Safinah Ali, Cynthia Breazeal
Invariant Action Effect Model for Reinforcement Learning
Zheng-Mao Zhu, Shengyi Jiang, Yu-Ren Liu et al.
Invariant Information Bottleneck for Domain Generalization
Bo Li, Yifei Shen, Yezhen Wang et al.
Investigations of Performance and Bias in Human-AI Teamwork in Hiring
Andi Peng, Besmira Nushi, Emre Kiciman et al.
IS-Count: Large-Scale Object Counting from Satellite Images with Covariate-Based Importance Sampling
Chenlin Meng, Enci Liu, Willie Neiswanger et al.
Is Discourse Role Important for Emotion Recognition in Conversation?
Donovan Ong, Jian Su, Bin Chen et al.
I-SEA: Importance Sampling and Expected Alignment-Based Deep Distance Metric Learning for Time Series Analysis and Embedding
Sirisha Rambhatla, Zhengping Che, Yan Liu
ISEEQ: Information Seeking Question Generation Using Dynamic Meta-Information Retrieval and Knowledge Graphs
Manas Gaur, Kalpa Gunaratna, Vijay Srinivasan et al.
Is There a Strongest Die in a Set of Dice with the Same Mean Pips?
Shang Lu, Shuji Kijima
Is Your Data Relevant?: Dynamic Selection of Relevant Data for Federated Learning
Lokesh Nagalapatti, Ruhi Sharma Mittal, Ramasuri Narayanam
Iterative Calculus of Voting under Plurality
Fabricio Vasselai
Iterative Contrast-Classify for Semi-supervised Temporal Action Segmentation
Dipika Singhania, Rahul Rahaman, Angela Yao
Iteratively Selecting an Easy Reference Frame Makes Unsupervised Video Object Segmentation Easier
Youngjo Lee, Hongje Seong, Euntai Kim