Summary of Cafe: Cost and Age Aware Federated Learning, by Sahan Liyanaarachchi et al.
CAFe: Cost and Age aware Federated Learningby Sahan Liyanaarachchi, Kanchana Thilakarathna, Sennur UlukusFirst submitted to…
Summary of Score-based Generative Models Are Provably Robust: An Uncertainty Quantification Perspective, by Nikiforos Mimikos-stamatopoulos et al.
Score-based generative models are provably robust: an uncertainty quantification perspectiveby Nikiforos Mimikos-Stamatopoulos, Benjamin J. Zhang,…
Summary of Filtered Corpus Training (fict) Shows That Language Models Can Generalize From Indirect Evidence, by Abhinav Patil and Jaap Jumelet and Yu Ying Chiu and Andy Lapastora and Peter Shen and Lexie Wang and Clevis Willrich and Shane Steinert-threlkeld
Filtered Corpus Training (FiCT) Shows that Language Models can Generalize from Indirect Evidenceby Abhinav Patil,…
Summary of Wasserstein Distances, Neuronal Entanglement, and Sparsity, by Shashata Sawmya et al.
Wasserstein Distances, Neuronal Entanglement, and Sparsityby Shashata Sawmya, Linghao Kong, Ilia Markov, Dan Alistarh, Nir…
Summary of Scaling Laws For Discriminative Classification in Large Language Models, by Dean Wyatte et al.
Scaling Laws for Discriminative Classification in Large Language Modelsby Dean Wyatte, Fatemeh Tahmasbi, Ming Li,…
Summary of Canonical Variates in Wasserstein Metric Space, by Jia Li and Lin Lin
Canonical Variates in Wasserstein Metric Spaceby Jia Li, Lin LinFirst submitted to arxiv on: 24…
Summary of Improved Particle Approximation Error For Mean Field Neural Networks, by Atsushi Nitanda
Improved Particle Approximation Error for Mean Field Neural Networksby Atsushi NitandaFirst submitted to arxiv on:…
Summary of Sequence Length Scaling in Vision Transformers For Scientific Images on Frontier, by Aristeidis Tsaris et al.
Sequence Length Scaling in Vision Transformers for Scientific Images on Frontierby Aristeidis Tsaris, Chengming Zhang,…
Summary of Semantic Objective Functions: a Distribution-aware Method For Adding Logical Constraints in Deep Learning, by Miguel Angel Mendez-lucero et al.
Semantic Objective Functions: A distribution-aware method for adding logical constraints in deep learningby Miguel Angel…
Summary of Reinforcing Language Agents Via Policy Optimization with Action Decomposition, by Muning Wen et al.
Reinforcing Language Agents via Policy Optimization with Action Decompositionby Muning Wen, Ziyu Wan, Weinan Zhang,…