output
20162026
most citedSwinVRNN: A Data-Driven Ensemble Forecasting Model via Learned Distribution Perturbation

65 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing cs.LGShow all

6 papers · 1 filter

cs.LG2026

Federated Learning Playground

Bryan Shan, Alysa Ziying Tan, Han Yu

We present Federated Learning Playground, an interactive browser-based platform inspired by and extends TensorFlow Playground that teaches core Federated Learning (FL) concepts. Us…

cs.LG2025★ 9 cited

FreRA: A Frequency-Refined Augmentation for Contrastive Learning on Time Series Classification

Tian Tian, Chunyan Miao, Hangwei Qian

Contrastive learning has emerged as a competent approach for unsupervised representation learning. However, the design of an optimal augmentation strategy, although crucial for con…

cs.LG2025★ 4 cited

A Survey of Graph Transformers: Architectures, Theories and Applications

Chaohao Yuan, Kangfei Zhao, Ercan Engin Kuruoglu +6

Graph Transformers (GTs) have demonstrated a strong capability in modeling graph structures by addressing the intrinsic limitations of graph neural networks (GNNs), such as over-sm…

cs.LG2021

Learning to Rehearse in Long Sequence Memorization

Zhu Zhang, Chang Zhou, Jianxin Ma +4

Existing reasoning tasks often have an important assumption that the input contents can be always accessed while reasoning, requiring unlimited storage resources and suffering from…

cs.LG2021★ 3 cited

Accelerating Gossip SGD with Periodic Global Averaging

Yiming Chen, Kun Yuan, Yingya Zhang +3

Communication overhead hinders the scalability of large-scale distributed training. Gossip SGD, where each node averages only with its neighbors, is more communication-efficient th…

cs.LG2018★ 10 cited

SLMF: Predicting Synthetic Lethality in Human Cancers via Logistic Matrix Factorization

Yong Liu, Min Wu, Chenghao Liu +2

Synthetic lethality (SL) is a promising concept for novel discovery of anti-cancer drug targets. However, wet-lab experiments for detecting SLs are faced with various challenges, s…