contrastive learning - Robuta Search

https://deepai.org/publication/sort-ing-vqa-models-contrastive-gradient-learning-for-improved-consistency

SOrT-ing VQA Models : Contrastive Gradient Learning for Improved Consistency | DeepAI

10/20/20 - Recent research in Visual Question Answering (VQA) has revealed state-of-the-art models to be inconsistent in their understanding ...

sort ing vqa models contrastive

https://arxiv.org/html/2512.07878v3

Graph Contrastive Learning via Spectral Graph Alignment

contrastive learning graph via spectral alignment

https://aclanthology.org/2024.lrec-main.157/

A Two-Stage Prediction-Aware Contrastive Learning Framework for Multi-Intent NLU - ACL Anthology

Guanhua Chen, Yutong Yao, Derek F. Wong, Lidia S. Chao. Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources...

two stage contrastive learning prediction aware framework

https://ee.ui.ac.id/pengembangan-federated-graph-contrastive-learning-pada-keamanan-iomt-untuk-perlindungan-terhadap-serangan-data-poisoning-dan-inference/

Pengembangan Federated Graph Contrastive Learning pada Keamanan IoMT untuk Perlindungan terhadap...

contrastive learning federated graph pada iomt

https://github.com/StupidBuluchacha/UrbanCLIP

GitHub - StupidBuluchacha/UrbanCLIP: Learning Text-Enhanced Urban Region Profiling with Contrastive...

Learning Text-Enhanced Urban Region Profiling with Contrastive Language-Image Pre-Training - StupidBuluchacha/UrbanCLIP

urban region github learning text enhanced

https://elie.net/talk/facade-high-precision-insider-threat-detection-using-contrastive-learning

FACADE High-Precision Insider Threat Detection Using Contrastive Learning | Black Hat USE 25 talk

This talk presents FACADE, a novel self-supervised AI system used by Google to detect insider threats with high precision. FACADE uses a contrastive learning...

high precision insider threat contrastive learning facade detection

https://imbue.com/research/2020-08-24-appendix-for-understanding-self-supervised-contrastive-learning/

Appendix for "Understanding self-supervised and contrastive learning with 'Bootstrap Your...

The BYOL terminology is used throughout this blog post. To compare to other papers, see the below table. Name SimCLR MoCo BYOL (used…

contrastive learning appendix quot understanding self

https://deepai.org/publication/simplifying-open-set-video-domain-adaptation-with-contrastive-learning

Simplifying Open-Set Video Domain Adaptation with Contrastive Learning | DeepAI

01/09/23 - In an effort to reduce annotation costs in action recognition, unsupervised video domain adaptation methods have been proposed tha...

open set domain adaptation contrastive learning simplifying video

https://arxiv.org/abs/2311.12075v3

[2311.12075v3] BadCLIP: Dual-Embedding Guided Backdoor Attack on Multimodal Contrastive Learning

Abstract page for arXiv paper 2311.12075v3: BadCLIP: Dual-Embedding Guided Backdoor Attack on Multimodal Contrastive Learning

attack on dual embedding guided backdoor

https://deepai.org/publication/selective-supervised-contrastive-learning-with-noisy-labels

Selective-Supervised Contrastive Learning with Noisy Labels | DeepAI

03/08/22 - Deep networks have strong capacities of embedding data into latent representations and finishing following tasks. However, the cap...

contrastive learning selective supervised noisy labels

https://pubmed.ncbi.nlm.nih.gov/37177423/

Self-Supervised Contrastive Learning for Medical Time Series: A Systematic Review

Medical time series are sequential data collected over time that measures health-related signals, such as electroencephalography (EEG), electrocardiography...

contrastive learning time series self supervised medical

https://aclanthology.org/2023.emnlp-main.222/

Retrofitting Light-weight Language Models for Emotions using Supervised Contrastive Learning - ACL...

Sapan Shah, Sreedhar Reddy, Pushpak Bhattacharyya. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. 2023.

light weight language models retrofitting emotions using

https://aclanthology.org/2023.findings-emnlp.15/

Dual Contrastive Learning Framework for Incremental Text Classification - ACL Anthology

Yigong Wang, Zhuoyi Wang, Yu Lin, Jinghui Guo, Sadaf Halim, Latifur Khan. Findings of the Association for Computational Linguistics: EMNLP 2023. 2023.

contrastive learning text classification acl anthology dual framework

https://aclanthology.org/2023.eacl-main.262/

Contrastive Learning with Keyword-based Data Augmentation for Code Search and Code Question...

Shinwoo Park, Youngwook Kim, Yo-Sub Han. Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics. 2023.

contrastive learning data augmentation keyword based code

https://openreview.net/forum?id=-5_B8g3CcSr&referrer=%5Bthe%20profile%20of%20Xinyu%20Li%5D(%2Fprofile%3Fid%3D~Xinyu_Li4)

Look Globally and Locally: Inter-Intra Contrastive Learning from Unlabeled Videos | OpenReview

Existing contrastive learning methods sample intra-video positives and we incorporate inter-video nearest-neighbors to improve performance on a variety of...

contrastive learning look globally locally inter

https://nielseniq.com/global/en/info/block-scl-blocking-matters-for-supervised-contrastive-learning-in-product-matching/

Block SCL: Contrastive Learning in Product Matching

Block SCL revolutionizes product matching with supervised contrastive learning, boosting accuracy and efficiency. Learn more

contrastive learning block scl product matching

https://www.mdpi.com/1424-8220/23/12/5572

Graph Neural Network-Guided Contrastive Learning for Sequential Recommendation

Sequential recommendation uses contrastive learning to randomly augment user sequences and alleviate the data sparsity problem. However, there is no guarantee...

graph neural network contrastive learning guided sequential recommendation

https://aclanthology.org/2023.emnlp-main.366/

Multi-level Contrastive Learning for Script-based Character Understanding - ACL Anthology

Dawei Li, Hengyuan Zhang, Yanran Li, Shiping Yang. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. 2023.

multi level contrastive learning script based character

https://openreview.net/forum?id=Clr1z6sIKP&referrer=%5Bthe%20profile%20of%20Rasmus%20H%C3%B8ier%5D(%2Fprofile%3Fid%3D~Rasmus_H%C3%B8ier1)

Dual Propagation: Accelerating Contrastive Hebbian Learning with Dyadic Neurons | OpenReview

Activity difference based learning algorithms---such as contrastive Hebbian learning and equilibrium propagation---have been proposed as biologically plausible...

contrastive hebbian learning dual propagation accelerating dyadic

https://aclanthology.org/2021.emnlp-main.138/

Efficient Contrastive Learning via Novel Data Augmentation and Curriculum Learning - ACL Anthology

Seonghyeon Ye, Jiseon Kim, Alice Oh. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 2021.

contrastive learning data augmentation efficient via novel

https://deepai.org/publication/contrastive-learning-for-fair-representations

Contrastive Learning for Fair Representations | DeepAI

09/22/21 - Trained classification models can unintentionally lead to biased representations and predictions, which can reinforce societal pre...

contrastive learning fair representations

https://openreview.net/forum?id=l9vM_PaUKz&referrer=%5Bthe%20profile%20of%20Zhan%20Tong%5D(%2Fprofile%3Fid%3D~Zhan_Tong1)

Soft Neighbors are Positive Supporters in Contrastive Visual Representation Learning | OpenReview

We leverage the soft neighbors to sufficiently explore the correlation information among samples in cotrastive learning.

visual representation soft neighbors positive supporters