TAGA: Text-Attributed Graph Self-Supervised Learning by Synergizing Graph and Text Mutual Transformationsby Zheng Zhang, Yuntong…
Node Identifiers: Compact, Discrete Representations for Efficient Graph Learningby Yuankai Luo, Hongkang Li, Qijiong Liu,…
Probabilistic Contrastive Learning with Explicit Concentration on the Hypersphereby Hongwei Bran Li, Cheng Ouyang, Tamaz…
Unsupervised Meta-Learning via In-Context Learningby Anna Vettoruzzo, Lorenzo Braccaioli, Joaquin Vanschoren, Marlena NowaczykFirst submitted to…
Automatic Data Curation for Self-Supervised Learning: A Clustering-Based Approachby Huy V. Vo, Vasil Khalidov, Timothée…
Polyp Segmentation Generalisability of Pretrained Backbonesby Edward Sanderson, Bogdan J. MatuszewskiFirst submitted to arxiv on:…
Denoising LM: Pushing the Limits of Error Correction Models for Speech Recognitionby Zijin Gu, Tatiana…
Efficiently Training Deep-Learning Parametric Policies using Lagrangian Dualityby Andrew Rosemberg, Alexandre Street, Davi M. Valladão,…
PhiNets: Brain-inspired Non-contrastive Learning Based on Temporal Prediction Hypothesisby Satoki Ishikawa, Makoto Yamada, Han Bao,…
Harmony: A Joint Self-Supervised and Weakly-Supervised Framework for Learning General Purpose Visual Representationsby Mohammed Baharoon,…