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04/21/2021
Towards Corruption-Agnostic Robust Domain Adaptation
Big progress has been achieved in domain adaptation in decades. Existing...
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01/07/2021
A design of human-like robust AI machines in object identification
This is a perspective paper inspired from the study of Turing Test propo...
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11/12/2020
Generalized Constraints as A New Mathematical Problem in Artificial Intelligence: A Review and Perspective
In this comprehensive review, we describe a new mathematical problem in ...
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11/26/2019
Revisiting Image Aesthetic Assessment via Self-Supervised Feature Learning
Visual aesthetic assessment has been an active research field for decade...
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07/05/2019
Incremental Concept Learning via Online Generative Memory Recall
The ability to learn more and more concepts over time from incrementally...
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05/15/2019
LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning
In this work, we propose a novel meta-learning approach for few-shot cla...
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05/24/2017
Learning with Average Top-k Loss
In this work, we introduce the average top-k (AT_k) loss as a new ensemb...
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05/22/2017
Robust Localized Multi-view Subspace Clustering
In multi-view clustering, different views may have different confidence ...
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06/01/2016
Self-Paced Learning: an Implicit Regularization Perspective
Self-paced learning (SPL) mimics the cognitive mechanism of humans and a...
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04/18/2016
Locally Imposing Function for Generalized Constraint Neural Networks - A Study on Equality Constraints
This work is a further study on the Generalized Constraint Neural Networ...
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02/19/2014
Unsupervised Ranking of Multi-Attribute Objects Based on Principal Curves
Unsupervised ranking faces one critical challenge in evaluation applicat...
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07/10/2011
