A Framework For Contrastive Self-Supervised Learning And Designing A New Approach

31 August 2020

Papers citing "A Framework For Contrastive Self-Supervised Learning And Designing A New Approach"

50 / 64 papers shown

Title
Learn Beneficial Noise as Graph Augmentation Siqi Huang Yanchen Xu Hongyuan Zhang Xuelong Li 41 2 0 25 May 2025
Enhancing Anomaly Detection Generalization through Knowledge Exposure: The Dual Effects of Augmentation Mohammad Akhavan Anvari Rojina Kashefi Vahid Reza Khazaie Mohammad Khalooei Mohammad Sabokrou 124 0 0 15 Jun 2024
A Review on Discriminative Self-supervised Learning Methods in Computer Vision Nikolaos Giakoumoglou Tania Stathaki Athanasios Gkelias SSL 121 1 0 08 May 2024
Counterfactual Image Editing Yushu Pan Elias Bareinboim BDL CML 72 8 0 07 Feb 2024
CAMBranch: Contrastive Learning with Augmented MILPs for Branching Jiacheng Lin Meng Xu Zhihua Xiong Huangang Wang 128 4 0 06 Feb 2024
Improving Antibody Humanness Prediction using Patent Data Talip Uçar Aubin Ramon Dino Oglic Rebecca Croasdale-wood Tom Diethe Pietro Sormanni 61 1 0 25 Jan 2024
Exploiting Data Hierarchy as a New Modality for Contrastive Learning Arjun Bhalla Daniel Levenson Jan Bernhard Anton Abilov 38 0 0 06 Jan 2024
In-Distribution and Out-of-Distribution Self-supervised ECG Representation Learning for Arrhythmia Detection S. Soltanieh J. Hashemi Ali Etemad 85 12 0 13 Apr 2023
ISimDL: Importance Sampling-Driven Acceleration of Fault Injection Simulations for Evaluating the Robustness of Deep Learning Alessio Colucci A. Steininger Mohamed Bennai AAML 44 2 0 14 Mar 2023
Prompt-Based Learning for Thread Structure Prediction in Cybersecurity Forums Kazuaki Kashihara Kuntal Kumar Pal Chitta Baral Robert P. Trevino 43 1 0 05 Mar 2023
A Survey on Semi-Supervised Semantic Segmentation Adrian Peláez-Vegas Pablo Mesejo Julián Luengo 77 31 0 20 Feb 2023
Self-Supervised In-Domain Representation Learning for Remote Sensing Image Scene Classification Ali Ghanbarzade Hossein Soleimani SSL 53 11 0 03 Feb 2023
Supervised and Contrastive Self-Supervised In-Domain Representation Learning for Dense Prediction Problems in Remote Sensing Ali Ghanbarzade Hossein Soleimani SSL 59 0 0 29 Jan 2023
Interactive Visual Feature Search Devon Ulrich Ruth C. Fong FAtt 107 0 0 28 Nov 2022
Distinguishing representational geometries with controversial stimuli: Bayesian experimental design and its application to face dissimilarity judgments Tal Golan Wenxuan Guo Heiko H. Schutt N. Kriegeskorte CVBM 72 5 0 28 Nov 2022
Unsupervised Method for Intra-patient Registration of Brain Magnetic Resonance Images based on Objective Function Weighting by Inverse Consistency: Contribution to the BraTS-Reg Challenge Marek Wodzinski Artur Jurgas Niccolo Marini Manfredo Atzori Henning Muller 63 7 0 14 Nov 2022
The Robustness Limits of SoTA Vision Models to Natural Variation Mark Ibrahim Q. Garrido Ari S. Morcos Diane Bouchacourt VLM 99 16 0 24 Oct 2022
Neural Causal Models for Counterfactual Identification and Estimation K. Xia Yushu Pan Elias Bareinboim CML 100 39 0 30 Sep 2022
Disentangling 3D Attributes from a Single 2D Image: Human Pose, Shape and Garment Xue Hu Xinghui Li Benjamin Busam Yiren Zhou A. Leonardis Shanxin Yuan DRL 3DH 86 3 0 05 Aug 2022
enpheeph: A Fault Injection Framework for Spiking and Compressed Deep Neural Networks Alessio Colucci A. Steininger Mohamed Bennai 73 12 0 31 Jul 2022
[Reproducibility Report] Path Planning using Neural A* Search Shreyaa Bhatt Aayush Jain Parv Maheshwari Animesh Jha Debashish Chakravarty 49 1 0 16 Jul 2022
TTAPS: Test-Time Adaption by Aligning Prototypes using Self-Supervision Alexander Bartler Florian Bender Felix Wiewel B. Yang TTA 83 9 0 18 May 2022
User Guide for KOTE: Korean Online Comments Emotions Dataset Duyoung Jeon Junho Lee Cheongtag Kim 56 0 0 11 May 2022
Time-based Self-supervised Learning for Wireless Capsule Endoscopy Guillem Pascual Pablo Laiz A. García Hagen Wenzek Jordi Vitrià Santi Seguí 62 11 0 20 Apr 2022
Perfectly Balanced: Improving Transfer and Robustness of Supervised Contrastive Learning Mayee F. Chen Daniel Y. Fu A. Narayan Michael Zhang Zhao Song Kayvon Fatahalian Christopher Ré SSL 84 51 0 15 Apr 2022
Deep Learning-based Framework for Automatic Cranial Defect Reconstruction and Implant Modeling Marek Wodzinski Mateusz Daniol M. Socha D. Hemmerling M. Stanuch A. Skalski 44 24 0 13 Apr 2022
Negative Selection by Clustering for Contrastive Learning in Human Activity Recognition Jinqiang Wang Tao Zhu L. Chen Huansheng Ning Yaping Wan SSL HAI 60 33 0 23 Mar 2022
Improving Classification Model Performance on Chest X-Rays through Lung Segmentation Hilda Azimi Jianxing Zhang Pengcheng Xi H. Asad Ashkan Ebadi Stéphane Tremblay Alexander Wong 85 8 0 22 Feb 2022
SubOmiEmbed: Self-supervised Representation Learning of Multi-omics Data for Cancer Type Classification S. Hashim Muhammad Ali Karthik Nandakumar Mohammad Yaqub 74 3 0 03 Feb 2022
A Comprehensive Study of Image Classification Model Sensitivity to Foregrounds, Backgrounds, and Visual Attributes Mazda Moayeri Phillip E. Pope Yogesh Balaji Soheil Feizi VLM 84 53 0 26 Jan 2022
DIVA-DAF: A Deep Learning Framework for Historical Document Image Analysis Lars Vogtlin A. Scius-Bertrand Paul Maergner Andreas Fischer Rolf Ingold 40 1 0 20 Jan 2022
Tools and Practices for Responsible AI Engineering Ryan Soklaski Justin A. Goodwin Olivia M. Brown Michael Yee J. Matterer 83 19 0 14 Jan 2022
VoxSRC 2021: The Third VoxCeleb Speaker Recognition Challenge A. Brown Jaesung Huh Joon Son Chung Arsha Nagrani Daniel Garcia-Romero Andrew Zisserman 76 40 0 12 Jan 2022
Robust Contrastive Learning against Noisy Views Ching-Yao Chuang R. Devon Hjelm Xin Eric Wang Vibhav Vineet Neel Joshi Antonio Torralba Stefanie Jegelka Ya-heng Song NoLa 66 72 0 12 Jan 2022
EM-driven unsupervised learning for efficient motion segmentation E. Meunier A. Badoual P. Bouthemy 104 40 0 06 Jan 2022
Recur, Attend or Convolve? On Whether Temporal Modeling Matters for Cross-Domain Robustness in Action Recognition Sofia Broomé Ernest Pokropek Boyu Li Hedvig Kjellström 84 7 0 22 Dec 2021
RELAX: Representation Learning Explainability Kristoffer Wickstrøm Daniel J. Trosten Sigurd Løkse Ahcène Boubekki Karl Øyvind Mikalsen Michael C. Kampffmeyer Robert Jenssen FAtt 47 15 0 19 Dec 2021
Server-Side Local Gradient Averaging and Learning Rate Acceleration for Scalable Split Learning Shraman Pal Mansi Uniyal Jihong Park Praneeth Vepakomma Ramesh Raskar M. Bennis M. Jeon Jinho Choi FedML 82 30 0 11 Dec 2021
Learning Representations with Contrastive Self-Supervised Learning for Histopathology Applications Karin Stacke Jonas Unger Claes Lundström Gabriel Eilertsen OOD SSL 104 25 0 10 Dec 2021
Variational Wasserstein gradient flow JiaoJiao Fan Qinsheng Zhang Amirhossein Taghvaei Yongxin Chen 167 57 0 04 Dec 2021
Latent Structure Mining with Contrastive Modality Fusion for Multimedia Recommendation Jinghao Zhang Yanqiao Zhu Qiang Liu Mengqi Zhang Shu Wu Liang Wang 83 40 0 01 Nov 2021
Cross-Lingual Open-Domain Question Answering with Answer Sentence Generation Benjamin Muller Luca Soldaini Rik Koncel-Kedziorski Eric Lind Alessandro Moschitti LRM 68 9 0 14 Oct 2021
SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning Talip Uçar Ehsan Hajiramezanali Lindsay Edwards LMTD SSL 90 135 0 08 Oct 2021
Low-Shot Validation: Active Importance Sampling for Estimating Classifier Performance on Rare Categories Fait Poms Vishnu Sarukkai Ravi Teja Mullapudi N. Sohoni W. Mark Deva Ramanan Kayvon Fatahalian 48 9 0 13 Sep 2021
The DKU-DukeECE System for the Self-Supervision Speaker Verification Task of the 2021 VoxCeleb Speaker Recognition Challenge Danwei Cai Ming Li 51 15 0 07 Sep 2021
Sensor Data Augmentation by Resampling for Contrastive Learning in Human Activity Recognition Jinqiang Wang Tao Zhu Jingyuan Gan L. Chen Huansheng Ning Yaping Wan 41 52 0 05 Sep 2021
Sample Efficient Detection and Classification of Adversarial Attacks via Self-Supervised Embeddings Mazda Moayeri Soheil Feizi AAML 42 19 0 30 Aug 2021
AASAE: Augmentation-Augmented Stochastic Autoencoders William Falcon A. Jha Teddy Koker Kyunghyun Cho 100 0 0 26 Jul 2021
The Causal-Neural Connection: Expressiveness, Learnability, and Inference K. Xia Kai-Zhan Lee Yoshua Bengio Elias Bareinboim CML 81 111 0 02 Jul 2021
Improving Compositionality of Neural Networks by Decoding Representations to Inputs Mike Wu Noah D. Goodman Stefano Ermon AI4CE 56 3 0 01 Jun 2021