Title
What Is Considered Complete for Visual Recognition? Lingxi Xie Xiaopeng Zhang Longhui Wei Jianlong Chang Qi Tian VLM 23 4 0 28 May 2021
Drawing Multiple Augmentation Samples Per Image During Training Efficiently Decreases Test Error Stanislav Fort Andrew Brock Razvan Pascanu Soham De Samuel L. Smith 31 31 0 27 May 2021
Encoders and Ensembles for Task-Free Continual Learning Murray Shanahan Christos Kaplanis Jovana Mitrović CLL 23 24 0 27 May 2021
CogView: Mastering Text-to-Image Generation via Transformers Ming Ding Zhuoyi Yang Wenyi Hong Wendi Zheng Chang Zhou ... Junyang Lin Xu Zou Zhou Shao Hongxia Yang Jie Tang ViT VLM 54 766 0 26 May 2021
Multiple Domain Experts Collaborative Learning: Multi-Source Domain Generalization For Person Re-Identification Shijie Yu Feng Zhu Dapeng Chen Rui Zhao Haobin Chen Shixiang Tang Jinguo Zhu Yu Qiao OOD 39 15 0 26 May 2021
GraphVICRegHSIC: Towards improved self-supervised representation learning for graphs with a hyrbid loss function Sayan Nag SSL 30 0 0 25 May 2021
Unsupervised Visual Representation Learning by Online Constrained K-Means Qi Qian Yuanhong Xu Juhua Hu Hao Li Rong Jin CML SSL 20 33 0 24 May 2021
Backdoor Attacks on Self-Supervised Learning Aniruddha Saha Ajinkya Tejankar Soroush Abbasi Koohpayegani Hamed Pirsiavash SSL AAML 27 101 0 21 May 2021
TestRank: Bringing Order into Unlabeled Test Instances for Deep Learning Tasks Yu Li Min Li Qiuxia Lai Yannan Liu Qiang Xu 6 21 0 21 May 2021
Do We Really Need to Learn Representations from In-domain Data for Outlier Detection? Zhisheng Xiao Qing Yan Y. Amit OOD UQCV 20 18 0 19 May 2021
Self-Supervised Learning for Fine-Grained Visual Categorization Muhammad Maaz H. Rasheed D. Gaddam 28 2 0 18 May 2021
Self-supervised Remote Sensing Images Change Detection at Pixel-level Yuxing Chen Lorenzo Bruzzone SSL 30 18 0 18 May 2021
Divide and Contrast: Self-supervised Learning from Uncurated Data Yonglong Tian Olivier J. Hénaff Aaron van den Oord SSL 64 96 0 17 May 2021
Voxel-level Siamese Representation Learning for Abdominal Multi-Organ Segmentation Chae-Eun Lee Minyoung Chung Y. Shin DRL 43 9 0 17 May 2021
Rethinking "Batch" in BatchNorm Yuxin Wu Justin Johnson BDL 43 66 0 17 May 2021
Semi-supervised Contrastive Learning with Similarity Co-calibration Yuhang Zhang Xiaopeng Zhang Robert C. Qiu Jie Li Haohang Xu Qi Tian SSL 18 60 0 16 May 2021
Self-supervised Learning on Graphs: Contrastive, Generative,or Predictive Lirong Wu Haitao Lin Zhangyang Gao Cheng Tan Stan.Z.Li SSL 35 243 0 16 May 2021
Mean Shift for Self-Supervised Learning Soroush Abbasi Koohpayegani Ajinkya Tejankar Hamed Pirsiavash SSL 30 93 0 15 May 2021
Sparsity-Probe: Analysis tool for Deep Learning Models Ido Ben-Shaul S. Dekel 21 4 0 14 May 2021
Using Self-Supervised Auxiliary Tasks to Improve Fine-Grained Facial Representation Mahdi Pourmirzaei G. Montazer Farzaneh Esmaili CVBM 29 26 0 13 May 2021
Bootstrapping User and Item Representations for One-Class Collaborative Filtering Dongha Lee SeongKu Kang Hyunjun Ju Chanyoung Park Hwanjo Yu 32 108 0 13 May 2021
Unsupervised Hashing with Contrastive Information Bottleneck Zexuan Qiu Qinliang Su Zijing Ou Jianxing Yu Changyou Chen SSL 15 84 0 13 May 2021
Breaking Shortcut: Exploring Fully Convolutional Cycle-Consistency for Video Correspondence Learning Yansong Tang Zhenyu Jiang Zhenda Xie Yue Cao Zheng-Wei Zhang Philip Torr Han Hu 43 5 0 12 May 2021
When Does Contrastive Visual Representation Learning Work? Elijah Cole Xuan S. Yang Kimberly Wilber Oisin Mac Aodha Serge Belongie SSL 26 123 0 12 May 2021
Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning Ming Jin Yizhen Zheng Yuan-Fang Li Chen Gong Chuan Zhou Shirui Pan SSL 30 153 0 12 May 2021
VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning Adrien Bardes Jean Ponce Yann LeCun SSL DML 86 906 0 11 May 2021
Self-Supervised Learning with Swin Transformers Zhenda Xie Yutong Lin Zhuliang Yao Zheng-Wei Zhang Qi Dai Yue Cao Han Hu ViT 34 178 0 10 May 2021
Contrastive Attraction and Contrastive Repulsion for Representation Learning Huangjie Zheng Xu Chen Jiangchao Yao Hongxia Yang Chunyuan Li Ya Zhang Hao Zhang Ivor Tsang Jingren Zhou Mingyuan Zhou SSL 42 12 0 08 May 2021
Self-Supervised Learning from Automatically Separated Sound Scenes Eduardo Fonseca A. Jansen D. Ellis Scott Wisdom Marco Tagliasacchi J. Hershey Manoj Plakal Shawn Hershey R. C. Moore Xavier Serra SSL 44 13 0 05 May 2021
Contrastive Learning and Self-Training for Unsupervised Domain Adaptation in Semantic Segmentation Robert A. Marsden Alexander Bartler Mario Döbler Binh Yang SSL 19 26 0 05 May 2021
Representation Learning for Clustering via Building Consensus A. Deshmukh Jayanth Reddy Regatti Eren Manavoglu Ürün Dogan SSL 24 9 0 04 May 2021
On Feature Decorrelation in Self-Supervised Learning Tianyu Hua Wenxiao Wang Zihui Xue Sucheng Ren Yue Wang Hang Zhao SSL OOD 140 188 0 02 May 2021
Hyperspherically Regularized Networks for Self-Supervision A. Durrant Georgios Leontidis SSL 75 7 0 29 Apr 2021
A Large-Scale Study on Unsupervised Spatiotemporal Representation Learning Christoph Feichtenhofer Haoqi Fan Bo Xiong Ross B. Girshick Kaiming He SSL AI4TS 39 257 0 29 Apr 2021
With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations Debidatta Dwibedi Y. Aytar Jonathan Tompson P. Sermanet Andrew Zisserman SSL 191 457 0 29 Apr 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 383 5,832 0 29 Apr 2021
ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training Jianfei Chen Lianmin Zheng Z. Yao Dequan Wang Ion Stoica Michael W. Mahoney Joseph E. Gonzalez MQ 29 74 0 29 Apr 2021
Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples Mahmoud Assran Mathilde Caron Ishan Misra Piotr Bojanowski Armand Joulin Nicolas Ballas Michael G. Rabbat SSL 29 147 0 28 Apr 2021
A Note on Connecting Barlow Twins with Negative-Sample-Free Contrastive Learning Yao-Hung Hubert Tsai Shaojie Bai Louis-Philippe Morency Ruslan Salakhutdinov SSL 26 38 0 28 Apr 2021
Semi-Supervised Semantic Segmentation with Pixel-Level Contrastive Learning from a Class-wise Memory Bank Inigo Alonso Alberto Sabater David Ferstl Luis Montesano Ana C. Murillo SSL CLL 131 203 0 27 Apr 2021
Self-distillation with Batch Knowledge Ensembling Improves ImageNet Classification Yixiao Ge Xiao Zhang Ching Lam Choi Ka Chun Cheung Peipei Zhao Feng Zhu Xiaogang Wang Rui Zhao Hongsheng Li FedML UQCV 146 25 0 27 Apr 2021
Towards Good Practices for Efficiently Annotating Large-Scale Image Classification Datasets Yuan-Hong Liao Amlan Kar Sanja Fidler VLM 30 29 0 26 Apr 2021
How Well Does Self-Supervised Pre-Training Perform with Streaming Data? Dapeng Hu Shipeng Yan Qizhengqiu Lu Lanqing Hong Hailin Hu Yifan Zhang Zhenguo Li Xinchao Wang Jiashi Feng 53 29 0 25 Apr 2021
Pri3D: Can 3D Priors Help 2D Representation Learning? Ji Hou Saining Xie Benjamin Graham Angela Dai Matthias Nießner SSL 3DPC MDE 85 80 0 22 Apr 2021
VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text Hassan Akbari Liangzhe Yuan Rui Qian Wei-Hong Chuang Shih-Fu Chang Huayu Chen Boqing Gong ViT 251 577 0 22 Apr 2021
Brittle Features May Help Anomaly Detection Kimberly T. Mai Toby P Davies Lewis D. Griffin 27 2 0 21 Apr 2021
3KG: Contrastive Learning of 12-Lead Electrocardiograms using Physiologically-Inspired Augmentations Bryan Gopal Ryan Han Gautham Raghupathi A. Ng G. Tison Pranav Rajpurkar MedIm 13 57 0 21 Apr 2021
Distill on the Go: Online knowledge distillation in self-supervised learning Prashant Shivaram Bhat Elahe Arani Bahram Zonooz SSL 22 28 0 20 Apr 2021
SelfReg: Self-supervised Contrastive Regularization for Domain Generalization Daehee Kim Seunghyun Park Jinkyu Kim Jaekoo Lee OOD SSL 77 265 0 20 Apr 2021
A Framework using Contrastive Learning for Classification with Noisy Labels Madalina Ciortan R. Dupuis Thomas Peel VLM NoLa 21 12 0 19 Apr 2021