359 citations · 1.5k across the 101 of their papers we have counts for
Showing 2023 · cs.LGShow all
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cs.LG2023★ 3 cited
Federated Learning of Large Language Models with Parameter-Efficient Prompt Tuning and Adaptive Optimization
Tianshi Che, Ji Liu, Yang Zhou +5
Federated learning (FL) is a promising paradigm to enable collaborative model training with decentralized data. However, the training process of Large Language Models (LLMs) genera…
cs.LG2023
Doubly Stochastic Models: Learning with Unbiased Label Noises and Inference Stability
Haoyi Xiong, Xuhong Li, Boyang Yu +3
Random label noises (or observational noises) widely exist in practical machine learning settings. While previous studies primarily focus on the affects of label noises to the perf…
cs.LG2023★ 1 cited
Towards Long-Term Time-Series Forecasting: Feature, Pattern, and Distribution
Yan Li, Xinjiang Lu, Haoyi Xiong +4
Long-term time-series forecasting (LTTF) has become a pressing demand in many applications, such as wind power supply planning. Transformer models have been adopted to deliver high…