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07/28/2023
Multilingual Lexical Simplification via Paraphrase Generation
Lexical simplification (LS) methods based on pretrained language models ...
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05/14/2023
ParaLS: Lexical Substitution via Pretrained Paraphraser
Lexical substitution (LS) aims at finding appropriate substitutes for a ...
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01/21/2023
SuperScaler: Supporting Flexible DNN Parallelization via a Unified Abstraction
With the growing model size, deep neural networks (DNN) are increasingly...
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11/02/2022
P^3OVD: Fine-grained Visual-Text Prompt-Driven Self-Training for Open-Vocabulary Object Detection
Inspired by the success of visual-language methods (VLMs) in zero-shot c...
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07/12/2022
Earthformer: Exploring Space-Time Transformers for Earth System Forecasting
Conventionally, Earth system (e.g., weather and climate) forecasting rel...
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06/16/2022
MixGen: A New Multi-Modal Data Augmentation
Data augmentation is a necessity to enhance data efficiency in deep lear...
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04/12/2022
Harnessing Interpretable Machine Learning for Origami Feature Design and Pattern Selection
Engineering design of origami systems is challenging because comparing d...
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02/23/2022
Prompt-Learning for Short Text Classification
In the short text, the extreme short length, feature sparsity and high a...
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04/19/2020
