Preventing Catastrophic Overfitting in Fast Adversarial Training: A Bi-level Optimization Perspectiveby Zhaoxin Wang, Handing Wang,…
A Comprehensive Sustainable Framework for Machine Learning and Artificial Intelligenceby Roberto Pagliari, Peter Hill, Po-Yu…
Temporal Test-Time Adaptation with State-Space Modelsby Mona Schirmer, Dan Zhang, Eric NalisnickFirst submitted to arxiv…
Generalized Coverage for More Robust Low-Budget Active Learningby Wonho Bae, Junhyug Noh, Danica J. SutherlandFirst…
Questionable practices in machine learningby Gavin Leech, Juan J. Vazquez, Niclas Kupper, Misha Yagudin, Laurence…
Conditional Quantile Estimation for Uncertain Watch Time in Short-Video Recommendationby Chengzhi Lin, Shuchang Liu, Chuyuan…
UTG: Towards a Unified View of Snapshot and Event Based Models for Temporal Graphsby Shenyang…
CDFL: Efficient Federated Human Activity Recognition using Contrastive Learning and Deep Clusteringby Ensieh Khazaei, Alireza…
Information-Theoretic Foundations for Machine Learningby Hong Jun Jeon, Benjamin Van RoyFirst submitted to arxiv on:…
This Probably Looks Exactly Like That: An Invertible Prototypical Networkby Zachariah Carmichael, Timothy Redgrave, Daniel…