Title
MTGLS: Multi-Task Gaze Estimation with Limited Supervision Abdulaziz Shamsah Munawar Hayat Seth Hutchinson Jarrod Knibbe CVBM 49 21 0 23 Oct 2021
A Simple Baseline for Low-Budget Active Learning Kossar Pourahmadi Parsa Nooralinejad Hamed Pirsiavash 40 20 0 22 Oct 2021
Wav2CLIP: Learning Robust Audio Representations From CLIP Ho-Hsiang Wu Prem Seetharaman Kundan Kumar J. P. Bello CLIP VLM 48 268 0 21 Oct 2021
CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP Andreas Fürst Elisabeth Rumetshofer Johannes Lehner Viet-Hung Tran Fei Tang ... David P. Kreil Michael K Kopp Günter Klambauer Angela Bitto-Nemling Sepp Hochreiter VLM CLIP 209 102 0 21 Oct 2021
Is High Variance Unavoidable in RL? A Case Study in Continuous Control Johan Bjorck Carla P. Gomes Kilian Q. Weinberger 65 23 0 21 Oct 2021
Self-Supervised Visual Representation Learning Using Lightweight Architectures Prathamesh Sonawane Sparsh Drolia Saqib Nizam Shamsi Bhargav Jain SSL 17 1 0 21 Oct 2021
Text-Based Person Search with Limited Data Xiaoping Han Sen He Li Zhang Tao Xiang 21 89 0 20 Oct 2021
Dynamic Bottleneck for Robust Self-Supervised Exploration Chenjia Bai Lingxiao Wang Lei Han Animesh Garg Jianye Hao Peng Liu Zhaoran Wang 32 29 0 20 Oct 2021
Improving Model Generalization by Agreement of Learned Representations from Data Augmentation Rowel Atienza ViT 17 9 0 20 Oct 2021
Constrained Mean Shift for Representation Learning Ajinkya Tejankar Soroush Abbasi Koohpayegani Hamed Pirsiavash SSL 45 0 0 19 Oct 2021
Momentum Contrastive Autoencoder: Using Contrastive Learning for Latent Space Distribution Matching in WAE Devansh Arpit Aadyot Bhatnagar Huan Wang Caiming Xiong 18 0 0 19 Oct 2021
Learning Rich Nearest Neighbor Representations from Self-supervised Ensembles Bram Wallace Devansh Arpit Huan Wang Caiming Xiong SSL OOD 35 0 0 19 Oct 2021
Improving Tail-Class Representation with Centroid Contrastive Learning A. M. H. Tiong Junnan Li Guosheng Lin Boyang Albert Li Caiming Xiong Guosheng Lin VLM 36 13 0 19 Oct 2021
Unsupervised Finetuning Suichan Li Dongdong Chen Yinpeng Chen Lu Yuan Lei Zhang Qi Chu B. Liu Nenghai Yu 30 8 0 18 Oct 2021
TLDR: Twin Learning for Dimensionality Reduction Yannis Kalantidis Carlos Lassance Jon Almazán Diane Larlus SSL 29 10 0 18 Oct 2021
Understanding Dimensional Collapse in Contrastive Self-supervised Learning Li Jing Pascal Vincent Yann LeCun Yuandong Tian SSL 25 339 0 18 Oct 2021
Self-Supervised Representation Learning: Introduction, Advances and Challenges Linus Ericsson Henry Gouk Chen Change Loy Timothy M. Hospedales SSL OOD AI4TS 37 275 0 18 Oct 2021
DECAR: Deep Clustering for learning general-purpose Audio Representations Sreyan Ghosh Sandesh V Katta Ashish Seth S. Umesh SSL 36 12 0 17 Oct 2021
Illiterate DALL-E Learns to Compose Gautam Singh Fei Deng Sungjin Ahn CoGe OCL 27 133 0 17 Oct 2021
Unsupervised Representation Learning for Binary Networks by Joint Classifier Learning Dahyun Kim Jonghyun Choi SSL MQ 25 5 0 17 Oct 2021
Surrogate- and invariance-boosted contrastive learning for data-scarce applications in science Charlotte Loh T. Christensen Rumen Dangovski Samuel Kim Marin Soljacic 39 17 0 15 Oct 2021
Self-Supervised Learning by Estimating Twin Class Distributions Feng Wang Tao Kong Rufeng Zhang Huaping Liu Hang Li SSL 60 18 0 14 Oct 2021
The Impact of Spatiotemporal Augmentations on Self-Supervised Audiovisual Representation Learning Haider Al-Tahan Y. Mohsenzadeh SSL AI4TS 39 0 0 13 Oct 2021
Representational Continuity for Unsupervised Continual Learning Divyam Madaan Jaehong Yoon Yuanchun Li Yunxin Liu Sung Ju Hwang CLL SSL 68 114 0 13 Oct 2021
Decoupled Contrastive Learning Chun-Hsiao Yeh Cheng-Yao Hong Yen-Chi Hsu Tyng-Luh Liu Yubei Chen Yann LeCun 183 183 0 13 Oct 2021
Life is not black and white -- Combining Semi-Supervised Learning with fuzzy labels Lars Schmarje Reinhard Koch 54 2 0 13 Oct 2021
Well-classified Examples are Underestimated in Classification with Deep Neural Networks Guangxiang Zhao Wenkai Yang Xuancheng Ren Lei Li Hao Sun Xu Sun 25 15 0 13 Oct 2021
A Multi-scale Time-series Dataset with Benchmark for Machine Learning in Decarbonized Energy Grids Xiangtian Zheng Nan Xu Loc Trinh Dongqi Wu Tong Huang S. Sivaranjani Yan Liu Le Xie AI4CE 41 44 0 12 Oct 2021
Scalable Consistency Training for Graph Neural Networks via Self-Ensemble Self-Distillation Cole Hawkins V. Ioannidis Soji Adeshina George Karypis GNN SSL 31 2 0 12 Oct 2021
Rethinking Supervised Pre-training for Better Downstream Transferring Yutong Feng Jianwen Jiang Mingqian Tang Rong Jin Yue Gao SSL 58 39 0 12 Oct 2021
MGH: Metadata Guided Hypergraph Modeling for Unsupervised Person Re-identification Yiming Wu Xintian Wu Xi Li Jian Tian 49 26 0 12 Oct 2021
Revitalizing CNN Attentions via Transformers in Self-Supervised Visual Representation Learning Chongjian Ge Youwei Liang Yibing Song Jianbo Jiao Jue Wang Ping Luo ViT 24 36 0 11 Oct 2021
Supervision Exists Everywhere: A Data Efficient Contrastive Language-Image Pre-training Paradigm Yangguang Li Feng Liang Lichen Zhao Yufeng Cui Wanli Ouyang Jing Shao F. Yu Junjie Yan VLM CLIP 50 448 0 11 Oct 2021
Self-supervised Learning is More Robust to Dataset Imbalance Hong Liu Jeff Z. HaoChen Adrien Gaidon Tengyu Ma OOD SSL 43 157 0 11 Oct 2021
Pre-trained Language Models in Biomedical Domain: A Systematic Survey Benyou Wang Qianqian Xie Jiahuan Pei Zhihong Chen Prayag Tiwari Zhao Li Jie Fu LM&MA AI4CE 42 165 0 11 Oct 2021
Omnidata: A Scalable Pipeline for Making Multi-Task Mid-Level Vision Datasets from 3D Scans Ainaz Eftekhar Alexander Sax Roman Bachmann Jitendra Malik Amir Zamir MedIm 33 291 0 11 Oct 2021
Towards Demystifying Representation Learning with Non-contrastive Self-supervision Xiang Wang Xinlei Chen S. Du Yuandong Tian SSL 21 26 0 11 Oct 2021
Learning Temporally-Consistent Representations for Data-Efficient Reinforcement Learning Trevor A. McInroe Lukas Schafer Stefano V. Albrecht OffRL 31 8 0 11 Oct 2021
Weakly Supervised Contrastive Learning Mingkai Zheng Fei Wang Shan You Chao Qian Changshui Zhang Xiaogang Wang Chang Xu SSL 45 122 0 10 Oct 2021
Vector-quantized Image Modeling with Improved VQGAN Jiahui Yu Xin Li Jing Yu Koh Han Zhang Ruoming Pang James Qin Alexander Ku Yuanzhong Xu Jason Baldridge Yonghui Wu ViT VLM DRL 54 489 0 09 Oct 2021
Improving Distantly-Supervised Named Entity Recognition with Self-Collaborative Denoising Learning Xinghua Zhang Yu Bowen Tingwen Liu Zhenyu Zhang Shuaiyi Nie Mengge Xue Hongbo Xu 16 22 0 09 Oct 2021
Temperature as Uncertainty in Contrastive Learning Oliver Zhang Mike Wu Jasmine Bayrooti Noah D. Goodman UQCV 27 30 0 08 Oct 2021
SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning Talip Uçar Ehsan Hajiramezanali Lindsay Edwards LMTD SSL 39 124 0 08 Oct 2021
3D Infomax improves GNNs for Molecular Property Prediction Hannes Stärk Dominique Beaini Gabriele Corso Prudencio Tossou Christian Dallago Stephan Günnemann Pietro Lio AI4CE 39 204 0 08 Oct 2021
Pre-training Molecular Graph Representation with 3D Geometry Shengchao Liu Hanchen Wang Weiyang Liu Joan Lasenby Hongyu Guo Jian Tang 126 304 0 07 Oct 2021
SERAB: A multi-lingual benchmark for speech emotion recognition Neil Scheidwasser M. Kegler P. Beckmann Milos Cernak 37 44 0 07 Oct 2021
Improving Fractal Pre-training Connor Anderson Ryan Farrell 92 27 0 06 Oct 2021
Unsupervised Selective Labeling for More Effective Semi-Supervised Learning Xudong Wang Long Lian Stella X. Yu 194 33 0 06 Oct 2021
On the Surrogate Gap between Contrastive and Supervised Losses Han Bao Yoshihiro Nagano Kento Nozawa SSL UQCV 46 19 0 06 Oct 2021
The Power of Contrast for Feature Learning: A Theoretical Analysis Wenlong Ji Zhun Deng Ryumei Nakada James Zou Linjun Zhang SSL 55 49 0 06 Oct 2021