Summary of Generalizable and Robust Spectral Method For Multi-view Representation Learning, by Amitai Yacobi et al.
Generalizable and Robust Spectral Method for Multi-view Representation Learningby Amitai Yacobi, Ofir Lindenbaum, Uri ShahamFirst…
Summary of Training Compute-optimal Protein Language Models, by Xingyi Cheng et al.
Training Compute-Optimal Protein Language Modelsby Xingyi Cheng, Bo Chen, Pan Li, Jing Gong, Jie Tang,…
Summary of Theoretical Characterisation Of the Gauss-newton Conditioning in Neural Networks, by Jim Zhao et al.
Theoretical characterisation of the Gauss-Newton conditioning in Neural Networksby Jim Zhao, Sidak Pal Singh, Aurelien…
Summary of Le-pde++: Mamba For Accelerating Pdes Simulations, by Aoming Liang et al.
LE-PDE++: Mamba for accelerating PDEs Simulationsby Aoming Liang, Zhaoyang Mu, Qi liu, Ruipeng Li, Mingming…
Summary of Fppl: An Efficient and Non-iid Robust Federated Continual Learning Framework, by Yuchen He et al.
FPPL: An Efficient and Non-IID Robust Federated Continual Learning Frameworkby Yuchen He, Chuyun Shen, Xiangfeng…
Summary of Exploring the Landscape For Generative Sequence Models For Specialized Data Synthesis, by Mohammad Zbeeb et al.
Exploring the Landscape for Generative Sequence Models for Specialized Data Synthesisby Mohammad Zbeeb, Mohammad Ghorayeb,…
Summary of Differentially Private and Decentralized Randomized Power Method, by Julien Nicolas et al.
Differentially private and decentralized randomized power methodby Julien Nicolas, César Sabater, Mohamed Maouche, Sonia Ben…
Summary of Exagree: Towards Explanation Agreement in Explainable Machine Learning, by Sichao Li et al.
EXAGREE: Towards Explanation Agreement in Explainable Machine Learningby Sichao Li, Quanling Deng, Amanda S. BarnardFirst…
Summary of Unsegmedgat: Unsupervised Medical Image Segmentation Using Graph Attention Networks Clustering, by A. Mudit Adityaja et al.
UnSegMedGAT: Unsupervised Medical Image Segmentation using Graph Attention Networks Clusteringby A. Mudit Adityaja, Saurabh J.…
Summary of N-gram Induction Heads For In-context Rl: Improving Stability and Reducing Data Needs, by Ilya Zisman et al.
N-Gram Induction Heads for In-Context RL: Improving Stability and Reducing Data Needsby Ilya Zisman, Alexander…