Summary of Variance-reduced Zeroth-order Methods For Fine-tuning Language Models, by Tanmay Gautam et al.
Variance-reduced Zeroth-Order Methods for Fine-Tuning Language Modelsby Tanmay Gautam, Youngsuk Park, Hao Zhou, Parameswaran Raman,…
Variance-reduced Zeroth-Order Methods for Fine-Tuning Language Modelsby Tanmay Gautam, Youngsuk Park, Hao Zhou, Parameswaran Raman,…
LLoCO: Learning Long Contexts Offlineby Sijun Tan, Xiuyu Li, Shishir Patil, Ziyang Wu, Tianjun Zhang,…
ApproxDARTS: Differentiable Neural Architecture Search with Approximate Multipliersby Michal Pinos, Lukas Sekanina, Vojtech MrazekFirst submitted…
Discourse-Aware In-Context Learning for Temporal Expression Normalizationby Akash Kumar Gautam, Lukas Lange, Jannik StrötgenFirst submitted…
RecurrentGemma: Moving Past Transformers for Efficient Open Language Modelsby Aleksandar Botev, Soham De, Samuel L…
Bayesian Federated Model Compression for Communication and Computation Efficiencyby Chengyu Xia, Danny H. K. Tsang,…
Diffusion posterior sampling for simulation-based inference in tall data settingsby Julia Linhart, Gabriel Victorino Cardoso,…
SplatPose & Detect: Pose-Agnostic 3D Anomaly Detectionby Mathis Kruse, Marco Rudolph, Dominik Woiwode, Bodo RosenhahnFirst…
Register Your Forests: Decision Tree Ensemble Optimization by Explicit CPU Register Allocationby Daniel Biebert, Christian…
Superposition Prompting: Improving and Accelerating Retrieval-Augmented Generationby Thomas Merth, Qichen Fu, Mohammad Rastegari, Mahyar NajibiFirst…