SEMF: Supervised Expectation-Maximization Framework for Predicting Intervalsby Ilia Azizi, Marc-Olivier Boldi, Valérie Chavez-DemoulinFirst submitted to…
Visualizing the loss landscape of Self-supervised Vision Transformerby Youngwan Lee, Jeffrey Ryan Willette, Jonghee Kim,…
Jointly Modeling Inter- & Intra-Modality Dependencies for Multi-modal Learningby Divyam Madaan, Taro Makino, Sumit Chopra,…
Symmetric Reinforcement Learning Loss for Robust Learning on Diverse Tasks and Model Scalesby Ju-Seung Byun,…
Towards Gradient-based Time-Series Explanations through a SpatioTemporal Attention Networkby Min Hun LeeFirst submitted to arxiv…
Spectral regularization for adversarially-robust representation learningby Sheng Yang, Jacob A. Zavatone-Veth, Cengiz PehlevanFirst submitted to…
Interesting Scientific Idea Generation using Knowledge Graphs and LLMs: Evaluations with 100 Research Group Leadersby…
Supervised Batch Normalizationby Bilal Faye, Mustapha Lebbah, Hanane AzzagFirst submitted to arxiv on: 27 May…
Unsupervised Generative Feature Transformation via Graph Contrastive Pre-training and Multi-objective Fine-tuningby Wangyang Ying, Dongjie Wang,…
Competing for pixels: a self-play algorithm for weakly-supervised segmentationby Shaheer U. Saeed, Shiqi Huang, João…