Robustness of Markov perfect equilibrium to model approximations in general-sum dynamic games
Dynamic games (also called stochastic games or Markov games) are an important class of games for modeling multi-agent interactions. In …
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Speaker-Conditioned Hierarchical Modeling for Automated Speech Scoring
Automatic Speech Scoring (ASS) is the computer-assisted evaluation of a candidate’s speaking proficiency in a language. ASS …
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TAN-NTM: Topic Attention Networks for Neural Topic Modeling
Topic models have been widely used to learn text representations and gain insight into document corpora. To perform topic discovery, …
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What Ails One-Shot Image Segmentation: A Data Perspective
One-shot image segmentation (OSS) methods enable semantic labeling of image pixels without supervised training using an extensive …
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ZFlow: Gated Appearance Flow-based Virtual Try-on with 3D Priors
Image-based virtual try-on involves synthesizing perceptually convincing images of a model wearing a particular garment and has …
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 An Empirical Study of Representation Learning for Reinforcement Learning in Healthcare
Reinforcement Learning (RL) has recently been applied to sequential estimation and prediction problems identifying and developing …
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Attributional Robustness Training using Input-Gradient Spatial Alignment
Interpretability is an emerging area of research in trustworthy machine learning. Safe deployment of machine learning system mandates …
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Charting the Right Manifold: Manifold Mixup for Few-shot Learning
Few-shot learning algorithms aim to learn model parameters capable of adapting to unseen classes with the help of only a few labeled …
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Document Structure Extraction using Prior based High Resolution Hierarchical Semantic Segmentation
Structure extraction from document images has been a long-standing research topic due to its high impact on a wide range of practical …
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Explain Your Move: Understanding Agent Actions Using Specific and Relevant Feature Attribution
As deep reinforcement learning (RL) is applied to more tasks, there is a need to visualize and understand the behavior of learned …
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