Summary of Learning to (learn at Test Time): Rnns with Expressive Hidden States, by Yu Sun et al.
Learning to (Learn at Test Time): RNNs with Expressive Hidden Statesby Yu Sun, Xinhao Li,…
Summary of Multi-modal Masked Siamese Network Improves Chest X-ray Representation Learning, by Saeed Shurrab et al.
Multi-modal Masked Siamese Network Improves Chest X-Ray Representation Learningby Saeed Shurrab, Alejandro Guerra-Manzanares, Farah E.…
Summary of Query-guided Self-supervised Summarization Of Nursing Notes, by Ya Gao et al.
Query-Guided Self-Supervised Summarization of Nursing Notesby Ya Gao, Hans Moen, Saila Koivusalo, Miika Koskinen, Pekka…
Summary of Improving Self-supervised Pre-training Using Accent-specific Codebooks, by Darshan Prabhu et al.
Improving Self-supervised Pre-training using Accent-Specific Codebooksby Darshan Prabhu, Abhishek Gupta, Omkar Nitsure, Preethi Jyothi, Sriram…
Summary of How Jepa Avoids Noisy Features: the Implicit Bias Of Deep Linear Self Distillation Networks, by Etai Littwin et al.
How JEPA Avoids Noisy Features: The Implicit Bias of Deep Linear Self Distillation Networksby Etai…
Summary of A Self-supervised Task For Fault Detection in Satellite Multivariate Time Series, by Carlo Cena et al.
A Self-Supervised Task for Fault Detection in Satellite Multivariate Time Seriesby Carlo Cena, Silvia Bucci,…
Summary of Towards the Next Frontier in Speech Representation Learning Using Disentanglement, by Varun Krishna and Sriram Ganapathy
Towards the Next Frontier in Speech Representation Learning Using Disentanglementby Varun Krishna, Sriram GanapathyFirst submitted…
Summary of Look Ahead or Look Around? a Theoretical Comparison Between Autoregressive and Masked Pretraining, by Qi Zhang et al.
Look Ahead or Look Around? A Theoretical Comparison Between Autoregressive and Masked Pretrainingby Qi Zhang,…
Summary of Establishing Deep Infomax As An Effective Self-supervised Learning Methodology in Materials Informatics, by Michael Moran et al.
Establishing Deep InfoMax as an effective self-supervised learning methodology in materials informaticsby Michael Moran, Vladimir…
Summary of Omnijarvis: Unified Vision-language-action Tokenization Enables Open-world Instruction Following Agents, by Zihao Wang et al.
OmniJARVIS: Unified Vision-Language-Action Tokenization Enables Open-World Instruction Following Agentsby Zihao Wang, Shaofei Cai, Zhancun Mu,…