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09/14/2023
Incorporating Class-based Language Model for Named Entity Recognition in Factorized Neural Transducer
In spite of the excellent strides made by end-to-end (E2E) models in spe...
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04/26/2023
Multi-Modality Deep Network for Extreme Learned Image Compression
Image-based single-modality compression learning approaches have demonst...
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04/24/2023
Context Sensitivity without Contexts: A Cut-Shortcut Approach to Fast and Precise Pointer Analysis
Over the past decades, context sensitivity has been considered as one of...
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07/31/2022
Tai-e: A Static Analysis Framework for Java by Harnessing the Best Designs of Classics
Static analysis is a mature field with applications to bug detection, se...
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10/30/2021
Adjacency constraint for efficient hierarchical reinforcement learning
Goal-conditioned Hierarchical Reinforcement Learning (HRL) is a promisin...
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07/31/2020
An Investigation on Deep Learning with Beta Stabilizer
Artificial neural networks (ANN) have been used in many applications suc...
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06/20/2020
Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning
Goal-conditioned hierarchical reinforcement learning (HRL) is a promisin...
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12/23/2019
Parameterized Indexed Value Function for Efficient Exploration in Reinforcement Learning
It is well known that quantifying uncertainty in the action-value estima...
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06/14/2017
