Co-occurring keywords · papers mentioning both
Papers
SmallToLarge (S2L): Scalable Data Selection for Fine-tuning Large Language Models by Summarizing Training Trajectories of Small Models
NeurIPS 2024
Online Saddle Point Tracking with Decision-Dependent Data
L4DC 2023
Surrogate Module Learning: Reduce the Gradient Error Accumulation in Training Spiking Neural Networks
ICML 2023
Gradient Information Matters in Policy Optimization by Back-propagating through Model
ICLR 2022
Seizing Critical Learning Periods in Federated Learning
AAAI 2022
Asynchronous Parallel Learning for Neural Networks and Structured Models with Dense Features
COLING 2016