Semi-Supervised Single Domain Generalization with Label-Free Adversarial Data Augmentation
#adversarial #supervised #generalization
Bridging the Sim2Real gap with CARE: Supervised Detection Adaptation with Conditional Alignment a...
Viraj Uday Prabhu, David Acuna, Rafid Mahmood et al.
Action editor: Hongsheng Li.
#supervised #adapting #adaptation
'Minimax Risk Classifiers with 0-1 Loss', by Santiago Mazuelas, Mauricio Romero, Peter Grunwald.
http://jmlr.org/papers/v24/22-0339.html
#classifiers #classification #supervised
#classifiers #classification #supervised
Targeted Active Learning for Bayesian Decision-Making
Cross-client Label Propagation for Transductive and Semi-Supervised Federated Learning
#supervised #labels #unlabeled
$f$-MICL: Understanding and Generalizing InfoNCE-based Contrastive Learning
#similarity #generalizing #supervised
Bridging the Sim2Real gap with CARE: Supervised Detection Adaptation with Conditional Alignment and Reweighting
#supervised #adapting #adaptation
DINOv2: Learning Robust Visual Features without Supervision
VoLTA: Vision-Language Transformer with Weakly-Supervised Local-Feature Alignment
#supervised #annotations #volta
Data Augmentation is a Hyperparameter: Cherry-picked Self-Supervision for Unsupervised Anomaly De...
Jaemin Yoo, Tiancheng Zhao, Leman Akoglu
Action editor: Chang Xu.
#anomaly #augmentation #supervised
Positive Unlabeled Learning Selected Not At Random (PULSNAR): class proportion estimation when the SCAR assumption does not hold
#classification #supervised #labeled
Learning to reconstruct signals from binary measurements alone
Differentiable Logic Machines
Matthieu Zimmer, Xuening Feng, Claire Glanois et al.
Action editor: Olivier Pietquin.
#logic #supervised #incremental
Partial Optimal Transport for Support Subset Selection
#supervised #transport #optimal
Understanding Self-Supervised Pretraining with Part-Aware Representation Learning
Jie Zhu, Jiyang Qi, Mingyu Ding et al.
Action editor: Simon Kornblith.
#Recognition #parts #supervised
Mind the Gap: Mitigating the Distribution Gap in Graph Few-shot Learning
Chunhui Zhang, Hongfu Liu, Jundong Li, Yanfang Ye, Chuxu Zhang
Action editor: Yunhe Wang.
Breaking the Spurious Causality of Conditional Generation via Fairness Intervention with Correcti...
Junhyun Nam, Sangwoo Mo, Jaeho Lee, Jinwoo Shin
Action editor: Aditya Menon.
#supervised #generative #sampling
Graph Neural Networks Formed via Layer-wise Ensembles of Heterogeneous Base Models
#supervised #Ensembles #layers
Supervised Knowledge May Hurt Novel Class Discovery Performance
ZIYUN LI, Jona Otholt, Ben Dai, Di Hu, Christoph Meinel, Haojin Yang
Action editor: Vikas Sindhwani.
#supervised #labeled #ImageNet
EM-Paste: EM-guided Cut-Paste for Image-level Weakly Supervised Instance Segmentation
#segmentation #instance #supervised