26 citations · 43 across the 8 of their papers we have counts for
8 papers
Global and Local Mixture Consistency Cumulative Learning for Long-tailed Visual Recognitions
Fei Du, Peng Yang, Qi Jia +3
In this paper, our goal is to design a simple learning paradigm for long-tail visual recognition, which not only improves the robustness of the feature extractor but also alleviate…
Defending Backdoor Attacks on Vision Transformer via Patch Processing
Khoa D. Doan, Yingjie Lao, Peng Yang +1
Vision Transformers (ViTs) have a radically different architecture with significantly less inductive bias than Convolutional Neural Networks. Along with the improvement in performa…
One Loss for Quantization: Deep Hashing with Discrete Wasserstein Distributional Matching
Khoa D. Doan, Peng Yang, Ping Li
Image hashing is a principled approximate nearest neighbor approach to find similar items to a query in a large collection of images. Hashing aims to learn a binary-output function…
Distributed Primal-Dual Optimization for Online Multi-Task Learning
Peng Yang, Ping Li
Conventional online multi-task learning algorithms suffer from two critical limitations: 1) Heavy communication caused by delivering high velocity of sequential data to a central m…
SupportNet: solving catastrophic forgetting in class incremental learning with support data
Yu Li, Zhongxiao Li, Lizhong Ding +5
A plain well-trained deep learning model often does not have the ability to learn new knowledge without forgetting the previously learned knowledge, which is known as catastrophic…
Robust Cost-Sensitive Learning for Recommendation with Implicit Feedback
Peng Yang, Peilin Zhao, Xin Gao +1
Recommendation is the task of improving customer experience through personalized recommendation based on users' past feedback. In this paper, we investigate the most common scenari…