{"list":"other","total":68,"rows":[{"id":"1512.03385","title":"Deep Residual Learning for Image Recognition","created":"2015-12-10","cited_by_count":52096},{"id":"1412.6980","title":"Adam: A Method for Stochastic Optimization","created":"2014-12-22","cited_by_count":37240},{"id":"2103.00020","title":"Learning Transferable Visual Models From Natural Language Supervision","created":"2021-02-26","cited_by_count":33744},{"id":"1505.04597","title":"U-Net: Convolutional Networks for Biomedical Image Segmentation","created":"2015-05-18","cited_by_count":19713},{"id":"2002.05709","title":"A Simple Framework for Contrastive Learning of Visual Representations","created":"2020-02-13","cited_by_count":12049},{"id":"1807.03748","title":"Representation Learning with Contrastive Predictive Coding","created":"2018-07-10","cited_by_count":7777},{"id":"1911.05722","title":"Momentum Contrast for Unsupervised Visual Representation Learning","created":"2019-11-13","cited_by_count":7513},{"id":"1608.03983","title":"SGDR: Stochastic Gradient Descent with Warm Restarts","created":"2016-08-13","cited_by_count":5045},{"id":"2006.07733","title":"Bootstrap your own latent: A new approach to self-supervised Learning","created":"2020-06-13","cited_by_count":4750},{"id":"1301.3781","title":"Efficient Estimation of Word Representations in Vector Space","created":"2013-01-16","cited_by_count":4375},{"id":"1703.01365","title":"Axiomatic Attribution for Deep Networks","created":"2017-03-04","cited_by_count":3384},{"id":"2011.10566","title":"Exploring Simple Siamese Representation Learning","created":"2020-11-20","cited_by_count":2866},{"id":"2006.09882","title":"Unsupervised Learning of Visual Features by Contrasting Cluster Assignments","created":"2020-06-17","cited_by_count":2857},{"id":"2003.04297","title":"Improved Baselines with Momentum Contrastive Learning","created":"2020-03-09","cited_by_count":2287},{"id":"1908.02265","title":"ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks","created":"2019-08-06","cited_by_count":2222},{"id":"1805.01978","title":"Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination","created":"2018-05-05","cited_by_count":1845},{"id":"2103.03230","title":"Barlow Twins: Self-Supervised Learning via Redundancy Reduction","created":"2021-03-04","cited_by_count":1838},{"id":"1803.07728","title":"Unsupervised Representation Learning by Predicting Image Rotations","created":"2018-03-21","cited_by_count":1591},{"id":"1908.07490","title":"LXMERT: Learning Cross-Modality Encoder Representations from Transformers","created":"2019-08-20","cited_by_count":1553},{"id":"1704.02685","title":"Learning Important Features Through Propagating Activation Differences","created":"2017-04-10","cited_by_count":1458},{"id":"1502.03044","title":"Show, Attend and Tell: Neural Image Caption Generation with Visual Attention","created":"2015-02-10","cited_by_count":1423},{"id":"1603.09246","title":"Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles","created":"2016-03-30","cited_by_count":1382},{"id":"1906.05849","title":"Contrastive Multiview Coding","created":"2019-06-13","cited_by_count":1301},{"id":"1908.03557","title":"VisualBERT: A Simple and Performant Baseline for Vision and Language","created":"2019-08-09","cited_by_count":1296},{"id":"1808.06670","title":"Learning deep representations by mutual information estimation and maximization","created":"2018-08-20","cited_by_count":1273},{"id":"1603.08511","title":"Colorful Image Colorization","created":"2016-03-28","cited_by_count":1114},{"id":"1406.2199","title":"Two-Stream Convolutional Networks for Action Recognition in Videos","created":"2014-06-09","cited_by_count":1068},{"id":"1505.05192","title":"Unsupervised Visual Representation Learning by Context Prediction","created":"2015-05-19","cited_by_count":1066},{"id":"1705.09406","title":"Multimodal Machine Learning: A Survey and Taxonomy","created":"2017-05-26","cited_by_count":1013},{"id":"1912.01991","title":"Self-Supervised Learning of Pretext-Invariant Representations","created":"2019-12-04","cited_by_count":808},{"id":"1904.01766","title":"VideoBERT: A Joint Model for Video and Language Representation Learning","created":"2019-04-03","cited_by_count":703},{"id":"1905.09272","title":"Data-Efficient Image Recognition with Contrastive Predictive Coding","created":"2019-05-22","cited_by_count":673},{"id":"1902.06162","title":"Self-supervised Visual Feature Learning with Deep Neural Networks: A Survey","created":"2019-02-16","cited_by_count":657},{"id":"2010.00747","title":"Contrastive Learning of Medical Visual Representations from Paired Images and Text","created":"2020-10-02","cited_by_count":641},{"id":"1705.08168","title":"Look, Listen and Learn","created":"2017-05-23","cited_by_count":458},{"id":"1804.03641","title":"Audio-Visual Scene Analysis with Self-Supervised Multisensory Features","created":"2018-04-10","cited_by_count":335},{"id":"2104.14548","title":"With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations","created":"2021-04-29","cited_by_count":326},{"id":"2006.10511","title":"Contrastive learning of global and local features for medical image segmentation with limited annotations","created":"2020-06-18","cited_by_count":309},{"id":"2006.16228","title":"Self-Supervised MultiModal Versatile Networks","created":"2020-06-29","cited_by_count":276},{"id":"1911.12667","title":"Self-Supervised Learning by Cross-Modal Audio-Video Clustering","created":"2019-11-28","cited_by_count":267},{"id":"1908.10454","title":"Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation","created":"2019-08-27","cited_by_count":260},{"id":"1610.09001","title":"SoundNet: Learning Sound Representations from Unlabeled Video","created":"2016-10-27","cited_by_count":247},{"id":"1511.07571","title":"DenseCap: Fully Convolutional Localization Networks for Dense Captioning","created":"2015-11-24","cited_by_count":176},{"id":"1908.06912","title":"Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis","created":"2019-08-19","cited_by_count":159},{"id":"2006.03829","title":"3D Self-Supervised Methods for Medical Imaging","created":"2020-06-06","cited_by_count":134},{"id":"2104.12836","title":"Multimodal Contrastive Training for Visual Representation Learning","created":"2021-04-26","cited_by_count":124},{"id":"2006.13662","title":"Labelling unlabelled videos from scratch with multi-modal self-supervision","created":"2020-06-24","cited_by_count":100},{"id":"1910.02241","title":"Self-supervised Feature Learning for 3D Medical Images by Playing a Rubik's Cube","created":"2019-10-05","cited_by_count":76},{"id":"1907.02757","title":"Self-Supervised Learning for Cardiac MR Image Segmentation by Anatomical Position Prediction","created":"2019-07-05","cited_by_count":70},{"id":"1712.07271","title":"Learning Sight from Sound: Ambient Sound Provides Supervision for Visual Learning","created":"2017-12-20","cited_by_count":67},{"id":"1708.09843","title":"Predicting Cardiovascular Risk Factors from Retinal Fundus Photographs using Deep Learning","created":"2017-08-31","cited_by_count":63},{"id":"1912.05396","title":"Multimodal Self-Supervised Learning for Medical Image Analysis","created":"2019-12-11","cited_by_count":57},{"id":"1810.04635","title":"Multimodal Speech Emotion Recognition Using Audio and Text","created":"2018-10-10","cited_by_count":55},{"id":"1807.00123","title":"Machine Learning for Integrating Data in Biology and Medicine: Principles, Practice, and Opportunities","created":"2018-06-30","cited_by_count":43},{"id":"1711.10535","title":"Deep Lesion Graphs in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-scale Lesion Database","created":"2017-11-28","cited_by_count":42},{"id":"1705.08260","title":"Self-Supervised Siamese Learning on Stereo Image Pairs for Depth Estimation in Robotic Surgery","created":"2017-05-17","cited_by_count":34},{"id":"1811.03879","title":"Cross and Learn: Cross-Modal Self-Supervision","created":"2018-11-09","cited_by_count":34},{"id":"2003.04298","title":"On Compositions of Transformations in Contrastive Self-Supervised Learning","created":"2020-03-09","cited_by_count":34},{"id":"1711.09726","title":"Exploiting the potential of unlabeled endoscopic video data with self-supervised learning","created":"2017-11-27","cited_by_count":33},{"id":"1806.05104","title":"Improving Cytoarchitectonic Segmentation of Human Brain Areas with Self-supervised Siamese Networks","created":"2018-06-13","cited_by_count":30},{"id":"2003.00105","title":"Self-supervised Representation Learning for Ultrasound Video","created":"2020-02-28","cited_by_count":25},{"id":"1708.00367","title":"Self-Supervised Learning for Spinal MRIs","created":"2017-08-01","cited_by_count":24},{"id":"1801.04012","title":"Non-Rigid Image Registration Using Self-Supervised Fully Convolutional Networks without Training Data","created":"2018-01-11","cited_by_count":24},{"id":"1901.08707","title":"Surrogate Supervision for Medical Image Analysis: Effective Deep Learning From Limited Quantities of Labeled Data","created":"2019-01-25","cited_by_count":23},{"id":"2011.08894","title":"Contrastive Registration for Unsupervised Medical Image Segmentation","created":"2020-11-17","cited_by_count":19},{"id":"1610.09003","title":"Cross-Modal Scene Networks","created":"2016-10-27","cited_by_count":16},{"id":"1806.09521","title":"Self-supervised Learning for Dense Depth Estimation in Monocular Endoscopy","created":"2018-06-25","cited_by_count":13},{"id":"1609.05420","title":"Pose from Action: Unsupervised Learning of Pose Features based on Motion","created":"2016-09-18","cited_by_count":4}],"next_cursor":null}