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07/04/2022
Doubly-Asynchronous Value Iteration: Making Value Iteration Asynchronous in Actions
Value iteration (VI) is a foundational dynamic programming method, impor...
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06/08/2022
Joint Adversarial Learning for Cross-domain Fair Classification
Modern machine learning (ML) models are becoming increasingly popular an...
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05/02/2022
FINETUNA: Fine-tuning Accelerated Molecular Simulations
Machine learning approaches have the potential to approximate Density Fu...
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02/12/2022
What Makes Good Contrastive Learning on Small-Scale Wearable-based Tasks?
Self-supervised learning establishes a new paradigm of learning represen...
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06/14/2020
Dynamic Window-level Granger Causality of Multi-channel Time Series
Granger causality method analyzes the time series causalities without bu...
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02/22/2020
VFlow: More Expressive Generative Flows with Variational Data Augmentation
Generative flows are promising tractable models for density modeling tha...
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03/07/2019
MinAtar: An Atari-inspired Testbed for More Efficient Reinforcement Learning Experiments
The Arcade Learning Environment (ALE) is a popular platform for evaluati...
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10/29/2018
Semi-crowdsourced Clustering with Deep Generative Models
We consider the semi-supervised clustering problem where crowdsourcing p...
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06/06/2018
Adversarial Attack on Graph Structured Data
Deep learning on graph structures has shown exciting results in various ...
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07/27/2016
Joint Embedding of Hierarchical Categories and Entities for Concept Categorization and Dataless Classification
Due to the lack of structured knowledge applied in learning distributed ...
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05/12/2016
Joint Embeddings of Hierarchical Categories and Entities
Due to the lack of structured knowledge applied in learning distributed ...
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05/11/2016
Machine Comprehension Based on Learning to Rank
Machine comprehension plays an essential role in NLP and has been widely...
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12/07/2015
