Summary of Rethinking the Uniformity Metric in Self-supervised Learning, by Xianghong Fang et al.
Rethinking The Uniformity Metric in Self-Supervised Learningby Xianghong Fang, Jian Li, Qiang Sun, Benyou WangFirst…
Summary of Learning and Leveraging World Models in Visual Representation Learning, by Quentin Garrido et al.
Learning and Leveraging World Models in Visual Representation Learningby Quentin Garrido, Mahmoud Assran, Nicolas Ballas,…
Summary of Transcription and Translation Of Videos Using Fine-tuned Xlsr Wav2vec2 on Custom Dataset and Mbart, by Aniket Tathe et al.
Transcription and translation of videos using fine-tuned XLSR Wav2Vec2 on custom dataset and mBARTby Aniket…
Summary of Med-real2sim: Non-invasive Medical Digital Twins Using Physics-informed Self-supervised Learning, by Keying Kuang et al.
Med-Real2Sim: Non-Invasive Medical Digital Twins using Physics-Informed Self-Supervised Learningby Keying Kuang, Frances Dean, Jack B.…
Summary of Self-supervised Learning with Generative Adversarial Networks For Electron Microscopy, by Bashir Kazimi and Karina Ruzaeva and Stefan Sandfeld
Self-Supervised Learning with Generative Adversarial Networks for Electron Microscopyby Bashir Kazimi, Karina Ruzaeva, Stefan SandfeldFirst…
Summary of Learning to Generate Instruction Tuning Datasets For Zero-shot Task Adaptation, by Nihal V. Nayak et al.
Learning to Generate Instruction Tuning Datasets for Zero-Shot Task Adaptationby Nihal V. Nayak, Yiyang Nan,…
Summary of Sample-efficient Preference-based Reinforcement Learning with Dynamics Aware Rewards, by Katherine Metcalf et al.
Sample-Efficient Preference-based Reinforcement Learning with Dynamics Aware Rewardsby Katherine Metcalf, Miguel Sarabia, Natalie Mackraz, Barry-John…
Summary of Downstream Task Guided Masking Learning in Masked Autoencoders Using Multi-level Optimization, by Han Guo et al.
Downstream Task Guided Masking Learning in Masked Autoencoders Using Multi-Level Optimizationby Han Guo, Ramtin Hosseini,…
Summary of Representation Learning in Multiplex Graphs: Where and How to Fuse Information?, by Piotr Bielak et al.
Representation learning in multiplex graphs: Where and how to fuse information?by Piotr Bielak, Tomasz KajdanowiczFirst…
Summary of Localgcl: Local-aware Contrastive Learning For Graphs, by Haojun Jiang et al.
LocalGCL: Local-aware Contrastive Learning for Graphsby Haojun Jiang, Jiawei Sun, Jie Li, Chentao WuFirst submitted…