Summary of On the Universality Of Self-supervised Representation Learning, by Wenwen Qiang et al.
On the Universality of Self-Supervised Representation Learningby Wenwen Qiang, Jingyao Wang, Lingyu Si, Chuxiong Sun,…
On the Universality of Self-Supervised Representation Learningby Wenwen Qiang, Jingyao Wang, Lingyu Si, Chuxiong Sun,…
Modeling Caption Diversity in Contrastive Vision-Language Pretrainingby Samuel Lavoie, Polina Kirichenko, Mark Ibrahim, Mahmoud Assran,…
CLIPArTT: Adaptation of CLIP to New Domains at Test Timeby Gustavo Adolfo Vargas Hakim, David…
Error Exponent in Agnostic PAC Learningby Adi Hendel, Meir FederFirst submitted to arxiv on: 1…
Locality Regularized Reconstruction: Structured Sparsity and Delaunay Triangulationsby Marshall Mueller, James M. Murphy, Abiy TasissaFirst…
Beyond Human Vision: The Role of Large Vision Language Models in Microscope Image Analysisby Prateek…
Investigating Automatic Scoring and Feedback using Large Language Modelsby Gloria Ashiya Katuka, Alexander Gain, Yen-Yun…
Conformal Risk Control for Ordinal Classificationby Yunpeng Xu, Wenge Guo, Zhi WeiFirst submitted to arxiv…
Geometric Insights into Focal Loss: Reducing Curvature for Enhanced Model Calibrationby Masanari Kimura, Hiroki NaganumaFirst…
Block-As-Domain Adaptation for Workload Prediction from fNIRS Databy Jiyang Wang, Ayse Altay, Senem VelipasalarFirst submitted…