Lifi: Towards linguistically informed frame interpolation
Here we explore the problem of speech video interpolation. With close to 70% of web traffic, such content today forms the primary form …
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Lifi: Towards linguistically informed frame interpolation
2D to 3D medical image colorization
Colorization involves the synthesis of colors while preserving structural content as well as the semantics of the target image. This is …
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2D to 3D medical image colorization
ClauseRec: A Clause Recommendation Framework for AI-aided Contract Authoring
Contracts are a common type of legal document that frequent in several day-to-day business workflows. However, there has been very …
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ClauseRec: A Clause Recommendation Framework for AI-aided Contract Authoring
DeepABM: Scalable and Efficient Agent-Based Simulations via Graph Convolutional Frameworks - a Case Study for COVID-19 Spread and Interventions
We introduce DeepABM, a computational framework for agent-based modeling that leverages geometric message passing for simulating action …
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LT-GAN: Self-Supervised GAN with Latent Transformation Detection
Generative Adversarial Networks (GANs) coupled with self-supervised tasks have shown promising results in unconditional and …
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Medical Dead-ends and Learning to Identify High-Risk States and Treatments
Machine learning has successfully framed many sequential decision making problems as either supervised prediction, or optimal …
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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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