Summary of Rethinking Confidence Calibration For Failure Prediction, by Fei Zhu et al.
Rethinking Confidence Calibration for Failure Predictionby Fei Zhu, Zhen Cheng, Xu-Yao Zhang, Cheng-Lin LiuFirst submitted…
Rethinking Confidence Calibration for Failure Predictionby Fei Zhu, Zhen Cheng, Xu-Yao Zhang, Cheng-Lin LiuFirst submitted…
Effective Data Augmentation With Diffusion Modelsby Brandon Trabucco, Kyle Doherty, Max Gurinas, Ruslan SalakhutdinovFirst submitted…
Diminishing Return of Value Expansion Methods in Model-Based Reinforcement Learningby Daniel Palenicek, Michael Lutter, Joao…
Non-Contrastive Unsupervised Learning of Physiological Signals from Videoby Jeremy Speth, Nathan Vance, Patrick Flynn, Adam…
SLCA: Slow Learner with Classifier Alignment for Continual Learning on a Pre-trained Modelby Gengwei Zhang,…
Vehicle lateral control using Machine Learning for automated vehicle guidanceby Akash Fogla, Kanish Kumar, Sunnay…
Large Selective Kernel Network for Remote Sensing Object Detectionby Yuxuan Li, Qibin Hou, Zhaohui Zheng,…
On the Convergence of Decentralized Federated Learning Under Imperfect Information Sharingby Vishnu Pandi Chellapandi, Antesh…
Toward Polar Sea-Ice Classification using Color-based Segmentation and Auto-labeling of Sentinel-2 Imagery to Train an…
Feature Space Sketching for Logistic Regressionby Gregory Dexter, Rajiv Khanna, Jawad Raheel, Petros DrineasFirst submitted…