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08/15/2023
Teach LLMs to Personalize – An Approach inspired by Writing Education
Personalized text generation is an emerging research area that has attra...
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11/21/2022
You Need Multiple Exiting: Dynamic Early Exiting for Accelerating Unified Vision Language Model
Large-scale Transformer models bring significant improvements for variou...
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11/03/2022
Scaling Multimodal Pre-Training via Cross-Modality Gradient Harmonization
Self-supervised pre-training recently demonstrates success on large-scal...
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06/07/2022
Self-supervised Domain Adaptation in Crowd Counting
Self-training crowd counting has not been attentively explored though it...
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05/04/2022
Exploring Entity Interactions for Few-Shot Relation Learning (Student Abstract)
Few-shot relation learning refers to infer facts for relations with a li...
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12/13/2021
COVID-19 Forecasts via Stock Market Indicators
Reliable short term forecasting can provide potentially lifesaving insig...
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09/09/2019
Optimal Function Approximation with Relu Neural Networks
We consider in this paper the optimal approximations of convex univariat...
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11/05/2018
When CTC Training Meets Acoustic Landmarks
Connectionist temporal classification (CTC) training criterion provides ...
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12/15/2017