On Discriminative Probabilistic Modeling for Self-Supervised Representation Learningby Bokun Wang, Yunwen Lei, Yiming Ying, Tianbao…
Distributionally robust self-supervised learning for tabular databy Shantanu Ghosh, Tiankang Xie, Mikhail KuznetsovFirst submitted to…
Learning General Representation of 12-Lead Electrocardiogram with a Joint-Embedding Predictive Architectureby Sehun KimFirst submitted to…
Self-Attention Mechanism in Multimodal Context for Banking Transaction Flowby Cyrile Delestre, Yoann SolaFirst submitted to…
Pretraining Graph Transformers with Atom-in-a-Molecule Quantum Properties for Improved ADMET Modelingby Alessio Fallani, Ramil Nugmanov,…
Efficient Distribution Matching of Representations via Noise-Injected Deep InfoMaxby Ivan Butakov, Alexander Semenenko, Alexander Tolmachev,…
TimeDART: A Diffusion Autoregressive Transformer for Self-Supervised Time Series Representationby Daoyu Wang, Mingyue Cheng, Zhiding…
AnyAttack: Targeted Adversarial Attacks on Vision-Language Models toward Any Imagesby Jiaming Zhang, Junhong Ye, Xingjun…
T-JEPA: Augmentation-Free Self-Supervised Learning for Tabular Databy Hugo Thimonier, José Lucas De Melo Costa, Fabrice…
Failure-Proof Non-Contrastive Self-Supervised Learningby Emanuele Sansone, Tim Lebailly, Tinne TuytelaarsFirst submitted to arxiv on: 7…