output
20162026
most citedFusionNet: A deep fully residual convolutional neural network for image segmentation in connectomics

296 citations

Showing cs.LGShow all

7 papers · 1 filter

cs.LG2025★ 6 cited

SC-GIR: Goal-oriented Semantic Communication via Invariant Representation Learning

Senura Hansaja Wanasekara, Van-Dinh Nguyen, Kok-Seng +3

Goal-oriented semantic communication (SC) aims to revolutionize communication systems by transmitting only task-essential information. However, current approaches face challenges s…

cs.LG2024★ 1 cited

Gentle Local Robustness implies Generalization

Khoat Than, Dat Phan, Giang Vu

Robustness and generalization ability of machine learning models are of utmost importance in various application domains. There is a wide interest in efficient ways to analyze thos…

cs.LG2024★ 18 cited

Scalable Transformer for High Dimensional Multivariate Time Series Forecasting

Xin Zhou, Weiqing Wang, Wray Buntine +4

Deep models for Multivariate Time Series (MTS) forecasting have recently demonstrated significant success. Channel-dependent models capture complex dependencies that channel-indepe…

cs.LG2024★ 23 cited

Towards Efficient Communication and Secure Federated Recommendation System via Low-rank Training

Ngoc-Hieu Nguyen, Tuan-Anh Nguyen, Tuan Nguyen +3

Federated Recommendation (FedRec) systems have emerged as a solution to safeguard users' data in response to growing regulatory concerns. However, one of the major challenges in th…

cs.LG2023★ 10 cited

Bayesian Estimate of Mean Proper Scores for Diversity-Enhanced Active Learning

Wei Tan, Lan Du, Wray Buntine

The effectiveness of active learning largely depends on the sampling efficiency of the acquisition function. Expected Loss Reduction (ELR) focuses on a Bayesian estimate of the red…

cs.LG2023

HyperRouter: Towards Efficient Training and Inference of Sparse Mixture of Experts

Giang Do, Khiem Le, Quang Pham +7

By routing input tokens to only a few split experts, Sparse Mixture-of-Experts has enabled efficient training of large language models. Recent findings suggest that fixing the rout…