Amirmasoud Ghiassi

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 19

Top Topics

Labeling Effort

Unlabeled Examples

Machine Learning Models

Top Venues

PerCom Workshops

Publications

Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen
Robust Learning via Golden Symmetric Loss of (un)Trusted Labels. SDM (2023)
Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen
LABNET: A Collaborative Method for DNN Training and Label Aggregation. ICAART (2) (2022)
Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen
Multi Label Loss Correction against Missing and Corrupted Labels. ACML (2022)
Amirmasoud Ghiassi, Cosmin Octavian Pene, Robert Birke, Lydia Y. Chen
Trusted Loss Correction for Noisy Multi-Label Learning. ACML (2022)
Cosmin Octavian Pene, Amirmasoud Ghiassi, Taraneh Younesian, Robert Birke, Lydia Y. Chen
Multi-Label Gold Asymmetric Loss Correction with Single-Label Regulators. CoRR (2021)
Jeroen Galjaard, Bart Cox, Amirmasoud Ghiassi, Lydia Y. Chen, Robert Birke
MemA: Fast Inference of Multiple Deep Models. PerCom Workshops (2021)
Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen
TrustNet: Learning from Trusted Data Against (A)symmetric Label Noise. BDCAT (2021)
Taraneh Younesian, Zilong Zhao, Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen
QActor: Active Learning on Noisy Labels. ACML (2021)
Chi Hong, Amirmasoud Ghiassi, Yichi Zhou, Robert Birke, Lydia Y. Chen
Online Label Aggregation: A Variational Bayesian Approach. WWW (2021)
Amirmasoud Ghiassi, Robert Birke, Rui Han, Lydia Y. Chen
LABELNET: Recovering Noisy Labels. IJCNN (2021)
Bart Cox, Jeroen Galjaard, Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen
Masa: Responsive Multi-DNN Inference on the Edge. PerCom (2021)
Bart Cox, Jeroen Galjaard, Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen
Artifact: Masa: Responsive Multi-DNN Inference on the Edge. PerCom Workshops (2021)
Taraneh Younesian, Chi Hong, Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen
End-to-End Learning from Noisy Crowd to Supervised Machine Learning Models. CoRR (2020)
Taraneh Younesian, Chi Hong, Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen
End-to-End Learning from Noisy Crowd to Supervised Machine Learning Models. CogMI (2020)
Amirmasoud Ghiassi, Taraneh Younesian, Robert Birke, Lydia Y. Chen
TrustNet: Learning from Trusted Data Against (A)symmetric Label Noise. CoRR (2020)
Taraneh Younesian, Zilong Zhao, Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen
QActor: On-line Active Learning for Noisy Labeled Stream Data. CoRR (2020)
Mostafa Hadadian Nejad Yousefi, Amirmasoud Ghiassi, Boshra Sadat Hashemi, Maziar Goudarzi
Workload Scheduling on heterogeneous Mobile Edge Cloud in 5G networks to Minimize SLA Violation. CoRR (2020)
Amirmasoud Ghiassi, Robert Birke, Rui Han, Lydia Y. Chen
ExpertNet: Adversarial Learning and Recovery Against Noisy Labels. CoRR (2020)
Amirmasoud Ghiassi, Taraneh Younesian, Zilong Zhao, Robert Birke, Valerio Schiavoni, Lydia Y. Chen
Robust (Deep) Learning Framework Against Dirty Labels and Beyond. TPS-ISA (2019)