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07/28/2023
CLIP Brings Better Features to Visual Aesthetics Learners
The success of pre-training approaches on a variety of downstream tasks ...
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03/21/2023
BigSmall: Efficient Multi-Task Learning for Disparate Spatial and Temporal Physiological Measurements
Understanding of human visual perception has historically inspired the d...
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02/23/2023
Change is Hard: A Closer Look at Subpopulation Shift
Machine learning models often perform poorly on subgroups that are under...
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06/24/2022
Online Distillation with Mixed Sample Augmentation
Mixed Sample Regularization (MSR), such as MixUp or CutMix, is a powerfu...
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03/31/2022
Personalized Image Aesthetics Assessment with Rich Attributes
Personalized image aesthetics assessment (PIAA) is challenging due to it...
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03/30/2022
Self-Distillation from the Last Mini-Batch for Consistency Regularization
Knowledge distillation (KD) shows a bright promise as a powerful regular...
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03/17/2022
On Multi-Domain Long-Tailed Recognition, Generalization and Beyond
Real-world data often exhibit imbalanced label distributions. Existing s...
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03/06/2022
Domain Adaptation with Factorizable Joint Shift
Existing domain adaptation (DA) usually assumes the domain shift comes f...
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02/18/2021
Delving into Deep Imbalanced Regression
Real-world data often exhibit imbalanced distributions, where certain ta...
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06/13/2020
Rethinking the Value of Labels for Improving Class-Imbalanced Learning
Real-world data often exhibits long-tailed distributions with heavy clas...
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06/11/2020
Sample Efficient Reinforcement Learning via Low-Rank Matrix Estimation
We consider the question of learning Q-function in a sample efficient ma...
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11/25/2019
When NAS Meets Robustness: In Search of Robust Architectures against Adversarial Attacks
Recent advances in adversarial attacks uncover the intrinsic vulnerabili...
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09/26/2019
Harnessing Structures for Value-Based Planning and Reinforcement Learning
Value-based methods constitute a fundamental methodology in planning and...
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05/28/2019
ME-Net: Towards Effective Adversarial Robustness with Matrix Estimation
Deep neural networks are vulnerable to adversarial attacks. The literatu...
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05/27/2019
ImgSensingNet: UAV Vision Guided Aerial-Ground Air Quality Sensing System
Given the increasingly serious air pollution problem, the monitoring of ...
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03/27/2019
Rallying Adversarial Techniques against Deep Learning for Network Security
Recent advances in artificial intelligence and the increasing need for p...
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09/11/2018