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Amirmasoud Ghiassi

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

10

Venues

6

Active years

2021–2023

Best venue rank

A*

Where they publish

Papers

10 indexed papers, newest first.

YearVenueTitleAuthors
2023SDMRobust Learning via Golden Symmetric Loss of (un)Trusted Labels.Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen
2022ACMLMulti Label Loss Correction against Missing and Corrupted Labels.Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen
2022ACMLTrusted Loss Correction for Noisy Multi-Label Learning.Amirmasoud Ghiassi, Cosmin Octavian Pene, Robert Birke, Lydia Y. Chen
2022ICAARTLABNET: A Collaborative Method for DNN Training and Label Aggregation.Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen
2021ACMLQActor: Active Learning on Noisy Labels.Taraneh Younesian, Zilong Zhao, Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen
2021IJCNNLABELNET: Recovering Noisy Labels.Amirmasoud Ghiassi, Robert Birke, Rui Han, Lydia Y. Chen
2021PERCOMArtifact: Masa: Responsive Multi-DNN Inference on the Edge.Bart Cox, Jeroen Galjaard, Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen
2021PERCOMMasa: Responsive Multi-DNN Inference on the Edge.Bart Cox, Jeroen Galjaard, Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen
2021PERCOMMemA: Fast Inference of Multiple Deep Models.Jeroen Galjaard, Bart Cox, Amirmasoud Ghiassi, Lydia Y. Chen, Robert Birke
2021WWWOnline Label Aggregation: A Variational Bayesian Approach.Chi Hong, Amirmasoud Ghiassi, Yichi Zhou, Robert Birke, Lydia Y. Chen