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09/21/2023
PIE: Simulating Disease Progression via Progressive Image Editing
Disease progression simulation is a crucial area of research that has si...
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05/25/2023
On the Tool Manipulation Capability of Open-source Large Language Models
Recent studies on software tool manipulation with large language models ...
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02/14/2023
IDEAL: Toward High-efficiency Device-Cloud Collaborative and Dynamic Recommendation System
Recommendation systems have shown great potential to solve the informati...
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09/12/2022
DUET: A Tuning-Free Device-Cloud Collaborative Parameters Generation Framework for Efficient Device Model Generalization
Device Model Generalization (DMG) is a practical yet under-investigated ...
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06/29/2022
Knowledge Distillation of Transformer-based Language Models Revisited
In the past few years, transformer-based pre-trained language models hav...
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06/07/2022
Decoupled Self-supervised Learning for Non-Homophilous Graphs
In this paper, we study the problem of conducting self-supervised learni...
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06/07/2022
Towards Bridging Algorithm and Theory for Unbiased Recommendation
This work studies the problem of learning unbiased algorithms from biase...
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04/27/2021
Adaptive Adversarial Training for Meta Reinforcement Learning
Meta Reinforcement Learning (MRL) enables an agent to learn from a limit...
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04/16/2021
Pareto Self-Supervised Training for Few-Shot Learning
While few-shot learning (FSL) aims for rapid generalization to new conce...
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04/11/2021
