3 papers
cs.LG2026
PAMod: Modeling Cyclical Shifts via Phase-Amplitude Modulation for Non-stationary Time Series Forecasting
Yingbo Zhou, Yutong Ye, Shuhao Li +5
Real-world time series forecasting faces the fundamental challenge of non-stationary statistical properties, including shifts in mean and variance over time. While reversible insta…
cs.CL2026
Towards Privacy-Preserving Machine Translation at the Inference Stage: A New Task and Benchmark
Wei Shao, Lemao Liu, Yinqiao Li +3
Current online translation services require sending user text to cloud servers, posing a risk of privacy leakage when the text contains sensitive information. This risk hinders the…
cs.CL2023
DistillCSE: Distilled Contrastive Learning for Sentence Embeddings
Jiahao Xu, Wei Shao, Lihui Chen +1
This paper proposes the DistillCSE framework, which performs contrastive learning under the self-training paradigm with knowledge distillation. The potential advantage of DistillCS…