Key Design Choices in Source-Free Unsupervised Domain Adaptation: An In-depth Empirical Analysisby Andrea Maracani, Raffaello…
G-RepsNet: A Fast and General Construction of Equivariant Networks for Arbitrary Matrix Groupsby Sourya Basu,…
SoK: Analyzing Adversarial Examples: A Framework to Study Adversary Knowledgeby Lucas Fenaux, Florian KerschbaumFirst submitted…
PaCKD: Pattern-Clustered Knowledge Distillation for Compressing Memory Access Prediction Modelsby Neelesh Gupta, Pengmiao Zhang, Rajgopal…
Integrating kNN with Foundation Models for Adaptable and Privacy-Aware Image Classificationby Sebastian Doerrich, Tobias Archut,…
Selective Prediction for Semantic Segmentation using Post-Hoc Confidence Estimation and Its Performance under Distribution Shiftby…
What to Do When Your Discrete Optimization Is the Size of a Neural Network?by Hugo…
How Flawed Is ECE? An Analysis via Logit Smoothingby Muthu Chidambaram, Holden Lee, Colin McSwiggen,…
Balancing the Causal Effects in Class-Incremental Learningby Junhao Zheng, Ruiyan Wang, Chongzhi Zhang, Huawen Feng,…
Comparing supervised learning dynamics: Deep neural networks match human data efficiency but show a generalisation…