Contrastive loss – Page 3 – GrooveSquid.com

April 15, 2025

Summary of M2-encoder: Advancing Bilingual Image-text Understanding by Large-scale Efficient Pretraining, By Qingpei Guo et al.

M2-Encoder: Advancing Bilingual Image-Text Understanding by Large-scale Efficient Pretrainingby Qingpei Guo, Furong Xu, Hanxiao Zhang,…

April 15, 2025

Summary of Transformer-based Contrastive Meta-learning For Low-resource Generalizable Activity Recognition, by Junyao Wang et al.

Transformer-Based Contrastive Meta-Learning For Low-Resource Generalizable Activity Recognitionby Junyao Wang, Mohammad Abdullah Al FaruqueFirst submitted…

April 15, 2025

Summary of Enhancing Adversarial Robustness Of Deep Neural Networks Through Supervised Contrastive Learning, by Longwei Wang et al.

Enhancing Adversarial Robustness of Deep Neural Networks Through Supervised Contrastive Learningby Longwei Wang, Navid Nayyem,…

April 15, 2025

Summary of Temporally Consistent Object-centric Learning by Contrasting Slots, By Anna Manasyan et al.

Temporally Consistent Object-Centric Learning by Contrasting Slotsby Anna Manasyan, Maximilian Seitzer, Filip Radovic, Georg Martius,…

April 15, 2025

Summary of Energy-based Preference Model Offers Better Offline Alignment Than the Bradley-terry Preference Model, by Yuzhong Hong et al.

Energy-Based Preference Model Offers Better Offline Alignment than the Bradley-Terry Preference Modelby Yuzhong Hong, Hanshan…

April 15, 2025

Summary of M2-encoder: Advancing Bilingual Image-text Understanding by Large-scale Efficient Pretraining, By Qingpei Guo et al.

Summary of Transformer-based Contrastive Meta-learning For Low-resource Generalizable Activity Recognition, by Junyao Wang et al.

Summary of Enhancing Adversarial Robustness Of Deep Neural Networks Through Supervised Contrastive Learning, by Longwei Wang et al.

Summary of Temporally Consistent Object-centric Learning by Contrasting Slots, By Anna Manasyan et al.

Summary of Energy-based Preference Model Offers Better Offline Alignment Than the Bradley-terry Preference Model, by Yuzhong Hong et al.

Summary of Personalized Clustering Via Targeted Representation Learning, by Xiwen Geng et al.

Summary of Notecontrast: Contrastive Language-diagnostic Pretraining For Medical Text, by Prajwal Kailas et al.

Summary of Tight Pac-bayesian Risk Certificates For Contrastive Learning, by Anna Van Elst et al.

Summary of Cosmos: Cross-modality Self-distillation For Vision Language Pre-training, by Sanghwan Kim et al.