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05/23/2023
Decoupled Rationalization with Asymmetric Learning Rates: A Flexible Lipshitz Restraint
A self-explaining rationalization model is generally constructed by a co...
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05/08/2023
MGR: Multi-generator based Rationalization
Rationalization is to employ a generator and a predictor to construct a ...
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04/26/2023
Structure Diagram Recognition in Financial Announcements
Accurately extracting structured data from structure diagrams in financi...
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09/17/2022
FR: Folded Rationalization with a Unified Encoder
Conventional works generally employ a two-phase model in which a generat...
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08/31/2022
Hierarchical Local-Global Transformer for Temporal Sentence Grounding
This paper studies the multimedia problem of temporal sentence grounding...
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12/08/2021
SNEAK: Synonymous Sentences-Aware Adversarial Attack on Natural Language Video Localization
Natural language video localization (NLVL) is an important task in the v...
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06/02/2021
Chunk Content is not Enough: Chunk-Context Aware Resemblance Detection for Deduplication Delta Compression
With the growing popularity of cloud storage, removing duplicated data a...
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01/22/2020
Intermittent Pulling with Local Compensation for Communication-Efficient Federated Learning
Federated Learning is a powerful machine learning paradigm to cooperativ...
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02/21/2019
Gradient Scheduling with Global Momentum for Non-IID Data Distributed Asynchronous Training
Distributed asynchronous offline training has received widespread attent...
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01/27/2019
Heterogeneity-aware Gradient Coding for Straggler Tolerance
Gradient descent algorithms are widely used in machine learning. In orde...
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01/21/2019