Summary of Weakly Supervised Anomaly Detection Via Knowledge-data Alignment, by Haihong Zhao et al.
Weakly Supervised Anomaly Detection via Knowledge-Data Alignmentby Haihong Zhao, Chenyi Zi, Yang Liu, Chen Zhang,…
Summary of Early Prediction Of Onset Of Sepsis in Clinical Setting, by Fahim Mohammad et al.
Early prediction of onset of sepsis in Clinical Settingby Fahim Mohammad, Lakshmi Arunachalam, Samanway Sadhu,…
Summary of Connect Later: Improving Fine-tuning For Robustness with Targeted Augmentations, by Helen Qu et al.
Connect Later: Improving Fine-tuning for Robustness with Targeted Augmentationsby Helen Qu, Sang Michael XieFirst submitted…
Summary of Minimum Description Length and Generalization Guarantees For Representation Learning, by Milad Sefidgaran et al.
Minimum Description Length and Generalization Guarantees for Representation Learningby Milad Sefidgaran, Abdellatif Zaidi, Piotr KrasnowskiFirst…
Summary of Pfdm: Parser-free Virtual Try-on Via Diffusion Model, by Yunfang Niu et al.
PFDM: Parser-Free Virtual Try-on via Diffusion Modelby Yunfang Niu, Dong Yi, Lingxiang Wu, Zhiwei Liu,…
Summary of Transcending Adversarial Perturbations: Manifold-aided Adversarial Examples with Legitimate Semantics, by Shuai Li et al.
Transcending Adversarial Perturbations: Manifold-Aided Adversarial Examples with Legitimate Semanticsby Shuai Li, Xiaoyu Jiang, Xiaoguang MaFirst…
Summary of Foundation Model Makes Clustering a Better Initialization For Cold-start Active Learning, by Han Yuan and Chuan Hong
Foundation Model Makes Clustering A Better Initialization For Cold-Start Active Learningby Han Yuan, Chuan HongFirst…
Summary of Towards An Information Theoretic Framework Of Context-based Offline Meta-reinforcement Learning, by Lanqing Li et al.
Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learningby Lanqing Li, Hai Zhang, Xinyu…
Summary of Scribformer: Transformer Makes Cnn Work Better For Scribble-based Medical Image Segmentation, by Zihan Li et al.
ScribFormer: Transformer Makes CNN Work Better for Scribble-based Medical Image Segmentationby Zihan Li, Yuan Zheng,…
Summary of Sample, Estimate, Aggregate: a Recipe For Causal Discovery Foundation Models, by Menghua Wu et al.
Sample, estimate, aggregate: A recipe for causal discovery foundation modelsby Menghua Wu, Yujia Bao, Regina…