Summary of Model Compression and Efficient Inference For Large Language Models: a Survey, by Wenxiao Wang et al.
Model Compression and Efficient Inference for Large Language Models: A Surveyby Wenxiao Wang, Wei Chen,…
Model Compression and Efficient Inference for Large Language Models: A Surveyby Wenxiao Wang, Wei Chen,…
Robust SVD Made Easy: A fast and reliable algorithm for large-scale data analysisby Sangil Han,…
TinyCL: An Efficient Hardware Architecture for Continual Learning on Autonomous Systemsby Eugenio Ressa, Alberto Marchisio,…
Rolling Diffusion Modelsby David Ruhe, Jonathan Heek, Tim Salimans, Emiel HoogeboomFirst submitted to arxiv on:…
Machine Learning for Stochastic Parametrisationby Hannah M. Christensen, Salah Kouhen, Greta Miller, Raghul ParthipanFirst submitted…
Oracle-Efficient Differentially Private Learning with Public Databy Adam Block, Mark Bun, Rathin Desai, Abhishek Shetty,…
UMOEA/D: A Multiobjective Evolutionary Algorithm for Uniform Pareto Objectives based on Decompositionby Xiaoyuan Zhang, Xi…
The Manifold Density Function: An Intrinsic Method for the Validation of Manifold Learningby Benjamin Holmgren,…
Layerwise Proximal Replay: A Proximal Point Method for Online Continual Learningby Jason Yoo, Yunpeng Liu,…
PMGDA: A Preference-based Multiple Gradient Descent Algorithmby Xiaoyuan Zhang, Xi Lin, Qingfu ZhangFirst submitted to…