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06/13/2022
Robust Distillation for Worst-class Performance
Knowledge distillation has proven to be an effective technique in improv...
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03/27/2022
Mugs: A Multi-Granular Self-Supervised Learning Framework
In self-supervised learning, multi-granular features are heavily desired...
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11/22/2021
MetaFormer is Actually What You Need for Vision
Transformers have shown great potential in computer vision tasks. A comm...
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02/13/2021
Distilling Double Descent
Distillation is the technique of training a "student" model based on exa...
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10/16/2020
Towards Accurate Human Pose Estimation in Videos of Crowded Scenes
Video-based human pose estimation in crowded scenes is a challenging pro...
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10/16/2020
Toward Accurate Person-level Action Recognition in Videos of Crowded Scenes
Detecting and recognizing human action in videos with crowded scenes is ...
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10/16/2020
A Simple Baseline for Pose Tracking in Videos of Crowded Scenes
This paper presents our solution to ACM MM challenge: Large-scale Human-...
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04/01/2019
Tree Boosted Varying Coefficient Models
This paper investigates the integration of gradient boosted decision tre...
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10/24/2018
A Deep-Learning-Based Fashion Attributes Detection Model
Analyzing fashion attributes is essential in the fashion design process....
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08/22/2018
Approximation Trees: Statistical Stability in Model Distillation
This paper examines the stability of learned explanations for black-box ...
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06/26/2018
Boulevard: Regularized Stochastic Gradient Boosted Trees and Their Limiting Distribution
This paper examines a novel gradient boosting framework for regression. ...
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12/21/2015