Multi-task Self-Supervised Visual Learning

25 August 2017

Papers citing "Multi-task Self-Supervised Visual Learning"

50 / 364 papers shown

Title
How Useful is Self-Supervised Pretraining for Visual Tasks? Alejandro Newell Jia Deng SSL 70 139 0 31 Mar 2020
Improving out-of-distribution generalization via multi-task self-supervised pretraining Isabela Albuquerque Nikhil Naik Junnan Li N. Keskar R. Socher SSL OOD 90 40 0 30 Mar 2020
Not all domains are equally complex: Adaptive Multi-Domain Learning Ali Senhaji Jenni Raitoharju Moncef Gabbouj Alexandros Iosifidis OOD 46 10 0 25 Mar 2020
Selecting Relevant Features from a Multi-domain Representation for Few-shot Classification Nikita Dvornik Cordelia Schmid Julien Mairal VLM 231 24 0 20 Mar 2020
AL2: Progressive Activation Loss for Learning General Representations in Classification Neural Networks Majed El Helou Frederike Dumbgen Sabine Süsstrunk CLL AI4CE 32 2 0 07 Mar 2020
Hierarchically Decoupled Imitation for Morphological Transfer D. Hejna Pieter Abbeel Lerrel Pinto LM&Ro 77 43 0 03 Mar 2020
A Free-Energy Principle for Representation Learning Yansong Gao Pratik Chaudhari DRL 57 9 0 27 Feb 2020
Generalized Hindsight for Reinforcement Learning Alexander C. Li Lerrel Pinto Pieter Abbeel 64 70 0 26 Feb 2020
Evolving Losses for Unsupervised Video Representation Learning A. Piergiovanni A. Angelova Michael S. Ryoo SSL 89 140 0 26 Feb 2020
Few-Shot Learning via Learning the Representation, Provably S. Du Wei Hu Sham Kakade Jason D. Lee Qi Lei SSL 82 262 0 21 Feb 2020
Automatic Shortcut Removal for Self-Supervised Representation Learning Matthias Minderer Olivier Bachem N. Houlsby Michael Tschannen SSL 94 73 0 20 Feb 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 419 18,960 0 13 Feb 2020
Learning Robust and Multilingual Speech Representations Kazuya Kawakami Luyu Wang Chris Dyer Phil Blunsom Aaron van den Oord SSL 97 100 0 29 Jan 2020
CSNNs: Unsupervised, Backpropagation-free Convolutional Neural Networks for Representation Learning Bonifaz Stuhr Jürgen Brauer SSL 66 8 0 28 Jan 2020
Multi-task self-supervised learning for Robust Speech Recognition Mirco Ravanelli Jianyuan Zhong Santiago Pascual P. Swietojanski João Monteiro J. Trmal Yoshua Bengio SSL 288 290 0 25 Jan 2020
MTI-Net: Multi-Scale Task Interaction Networks for Multi-Task Learning Simon Vandenhende Stamatios Georgoulis Luc Van Gool 124 225 0 19 Jan 2020
Improving Semantic Analysis on Point Clouds via Auxiliary Supervision of Local Geometric Priors Lulu Tang Ke Chen Chaozheng Wu Yu Hong Kui Jia Zhixin Yang 3DPC 60 24 0 14 Jan 2020
Pruning Convolutional Neural Networks with Self-Supervision Mathilde Caron Ari S. Morcos Piotr Bojanowski Julien Mairal Armand Joulin SSL 3DPC 59 12 0 10 Jan 2020
Dynamic Task Weighting Methods for Multi-task Networks in Autonomous Driving Systems Isabelle Leang Ganesh Sistu Fabian Burger Andrei Bursuc S. Yogamani 82 53 0 07 Jan 2020
Self-Supervised Learning of Generative Spin-Glasses with Normalizing Flows Gavin Hartnett Masoud Mohseni AI4CE 58 10 0 02 Jan 2020
Locality and compositionality in zero-shot learning Tristan Sylvain Linda Petrini R. Devon Hjelm 74 56 0 20 Dec 2019
Self-Supervised Learning of Video-Induced Visual Invariances Michael Tschannen Josip Djolonga Marvin Ritter Aravindh Mahendran Xiaohua Zhai N. Houlsby Sylvain Gelly Mario Lucic SSL 138 62 0 05 Dec 2019
Self-Supervised Contextual Language Representation of Radiology Reports to Improve the Identification of Communication Urgency Xing Meng C. Ganoe R. Sieberg Yvonne Y. Cheung Saeid Hassanpour MedIm 35 12 0 05 Dec 2019
Multi-Modal Deep Clustering: Unsupervised Partitioning of Images Guy Shiran D. Weinshall 48 17 0 05 Dec 2019
Self-Supervised Learning of Pretext-Invariant Representations Ishan Misra Laurens van der Maaten SSL VLM 113 1,459 0 04 Dec 2019
Probing the State of the Art: A Critical Look at Visual Representation Evaluation Cinjon Resnick Zeping Zhan Joan Bruna AI4TS 44 12 0 30 Nov 2019
Momentum Contrast for Unsupervised Visual Representation Learning Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross B. Girshick SSL 258 12,163 0 13 Nov 2019
Self-labelling via simultaneous clustering and representation learning Yuki M. Asano Christian Rupprecht Andrea Vedaldi SSL 131 778 0 13 Nov 2019
The Deep Learning Revolution and Its Implications for Computer Architecture and Chip Design J. Dean 49 79 0 13 Nov 2019
Towards a General Model of Knowledge for Facial Analysis by Multi-Source Transfer Learning Valentin Vielzeuf Alexis Lechervy S. Pateux F. Jurie CVBM 65 5 0 08 Nov 2019
Generalization in multitask deep neural classifiers: a statistical physics approach Tyler Lee A. Ndirango AI4CE 142 20 0 30 Oct 2019
Label-efficient audio classification through multitask learning and self-supervision Tyler Lee Ting Gong Suchismita Padhy Andrew Rouditchenko A. Ndirango SSL VLM 60 7 0 19 Oct 2019
Unsupervised Multi-Task Feature Learning on Point Clouds Kaveh Hassani Mike Haley SSL 3DPC 170 195 0 18 Oct 2019
Learning to Generalize One Sample at a Time with Self-Supervision A. DÍnnocente S. Bucci Barbara Caputo Tatiana Tommasi SSL OOD 46 4 0 09 Oct 2019
When Does Self-supervision Improve Few-shot Learning? Jong-Chyi Su Subhransu Maji B. Hariharan 98 171 0 08 Oct 2019
Information based Deep Clustering: An experimental study Jizong Peng Christian Desrosiers M. Pedersoli 52 1 0 03 Oct 2019
A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark Xiaohua Zhai J. Puigcerver Alexander Kolesnikov P. Ruyssen C. Riquelme ... Michael Tschannen Marcin Michalski Olivier Bousquet Sylvain Gelly N. Houlsby SSL 97 448 0 01 Oct 2019
Unsupervised Domain Adaptation through Self-Supervision Yu Sun Eric Tzeng Trevor Darrell Alexei A. Efros OOD SSL 80 238 0 26 Sep 2019
Emotion Filtering at the Edge Ranya Aloufi Hamed Haddadi David E. Boyle 82 19 0 18 Sep 2019
Metric-based Regularization and Temporal Ensemble for Multi-task Learning using Heterogeneous Unsupervised Tasks D. Kim Seung Hyun Lee B. Song 35 3 0 29 Aug 2019
Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis Zongwei Zhou V. Sodha M. R. Siddiquee Ruibin Feng Nima Tajbakhsh Michael B. Gotway Jianming Liang MedIm 69 311 0 19 Aug 2019
Detecting semantic anomalies Faruk Ahmed Aaron Courville 88 84 0 13 Aug 2019
UM-Adapt: Unsupervised Multi-Task Adaptation Using Adversarial Cross-Task Distillation Jogendra Nath Kundu Nishank Lakkakula R. Venkatesh Babu 74 59 0 11 Aug 2019
Emotionless: Privacy-Preserving Speech Analysis for Voice Assistants Ranya Aloufi Hamed Haddadi David E. Boyle 40 29 0 09 Aug 2019
Charting the Right Manifold: Manifold Mixup for Few-shot Learning Puneet Mangla M. Singh Abhishek Sinha Nupur Kumari V. Balasubramanian Balaji Krishnamurthy SSL 113 329 0 28 Jul 2019
Multi-task Self-Supervised Learning for Human Activity Detection Aaqib Saeed T. Ozcelebi J. Lukkien SSL 146 277 0 27 Jul 2019
Accurate and Robust Pulmonary Nodule Detection by 3D Feature Pyramid Network with Self-supervised Feature Learning Jingya Liu Liangliang Cao O. Akin Yingli Tian OOD 56 12 0 25 Jul 2019
Self-Supervised Learning for Cardiac MR Image Segmentation by Anatomical Position Prediction Wenjia Bai Chen Chen G. Tarroni Jinming Duan Florian Guitton S. Petersen Yike Guo Paul M. Matthews Daniel Rueckert SSL 64 181 0 05 Jul 2019
Large Scale Adversarial Representation Learning Jeff Donahue Karen Simonyan SSL 141 545 0 04 Jul 2019
Continual Learning for Robotics: Definition, Framework, Learning Strategies, Opportunities and Challenges Timothée Lesort Vincenzo Lomonaco Andrei Stoian Davide Maltoni David Filliat Natalia Díaz Rodríguez CLL 120 250 0 29 Jun 2019