Papers
S4L: Self-Supervised Semi-Supervised Learning
Xiaohua Zhai, Avital Oliver, Alexander Kolesnikov et al.
Semi-Supervised Learning by Augmented Distribution Alignment
Qin Wang, Wen Li, Luc Van Gool
Domain Adaptation for Structured Output via Discriminative Patch Representations
Yi-Hsuan Tsai, Kihyuk Sohn, Samuel Schulter et al.
Episodic Training for Domain Generalization
Da Li, Jianshu Zhang, Yongxin Yang et al.
UM-Adapt: Unsupervised Multi-Task Adaptation Using Adversarial Cross-Task Distillation
Jogendra Nath Kundu, Nishank Lakkakula, R. Venkatesh Babu
Larger Norm More Transferable: An Adaptive Feature Norm Approach for Unsupervised Domain Adaptation
Ruijia Xu, Guanbin Li, Jihan Yang et al.
Unsupervised Domain Adaptation via Regularized Conditional Alignment
Safa Cicek, Stefano Soatto
Moment Matching for Multi-Source Domain Adaptation
Xingchao Peng, Qinxun Bai, Xide Xia et al.
Transferability and Hardness of Supervised Classification Tasks
Anh T. Tran, Cuong V. Nguyen, Tal Hassner
Stochastic Filter Groups for Multi-Task CNNs: Learning Specialist and Generalist Convolution Kernels
Felix J.S. Bragman, Ryutaro Tanno, Sebastien Ourselin et al.
Many Task Learning With Task Routing
Gjorgji Strezoski, Nanne van Noord, Marcel Worring
Similarity-Preserving Knowledge Distillation
Frederick Tung, Greg Mori
Distillation-Based Training for Multi-Exit Architectures
Mary Phuong, Christoph H. Lampert
Knowledge Distillation via Route Constrained Optimization
Xiao Jin, Baoyun Peng, Yichao Wu et al.
A Camera That CNNs: Towards Embedded Neural Networks on Pixel Processor Arrays
Laurie Bose, Jianing Chen, Stephen J. Carey et al.
Data-Free Quantization Through Weight Equalization and Bias Correction
Markus Nagel, Mart van Baalen, Tijmen Blankevoort et al.
Searching for MobileNetV3
Andrew Howard, Mark Sandler, Grace Chu et al.
Multinomial Distribution Learning for Effective Neural Architecture Search
Xiawu Zheng, Rongrong Ji, Lang Tang et al.
Progressive Differentiable Architecture Search: Bridging the Depth Gap Between Search and Evaluation
Xin Chen, Lingxi Xie, Jun Wu et al.
Exploring Randomly Wired Neural Networks for Image Recognition
Saining Xie, Alexander Kirillov, Ross Girshick et al.
Anomaly Detection in Video Sequence With Appearance-Motion Correspondence
Trong-Nguyen Nguyen, Jean Meunier
Layout-Induced Video Representation for Recognizing Agent-in-Place Actions
Ruichi Yu, Hongcheng Wang, Ang Li et al.
Cost-Aware Fine-Grained Recognition for IoTs Based on Sequential Fixations
Hanxiao Wang, Venkatesh Saligrama, Stan Sclaroff et al.
Self-Supervised Deep Depth Denoising
Vladimiros Sterzentsenko, Leonidas Saroglou, Anargyros Chatzitofis et al.
Employing Deep Part-Object Relationships for Salient Object Detection
Yi Liu, Qiang Zhang, Dingwen Zhang et al.