Amirmasoud Ghiassi

19 papers A* 2A 1B 1C 4Journal 6Unranked 5
YearRankTypeTitle / Venue / Authors
2023 A conf
Robust Learning via Golden Symmetric Loss of (un)Trusted Labels.
SDM
Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen
2022 — conf
LABNET: A Collaborative Method for DNN Training and Label Aggregation.
ICAART (2)
Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen
2022 C conf
Multi Label Loss Correction against Missing and Corrupted Labels.
ACML
Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen
2022 C conf
Trusted Loss Correction for Noisy Multi-Label Learning.
ACML
Amirmasoud Ghiassi, Cosmin Octavian Pene, Robert Birke, Lydia Y. Chen
2021 — conf
Artifact: Masa: Responsive Multi-DNN Inference on the Edge.
PerCom Workshops
Bart Cox, Jeroen Galjaard, Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen
2021 B conf
LABELNET: Recovering Noisy Labels.
IJCNN
Amirmasoud Ghiassi, Robert Birke, Rui Han, Lydia Y. Chen
2021 A* conf
Masa: Responsive Multi-DNN Inference on the Edge.
PerCom
Bart Cox, Jeroen Galjaard, Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen
2021 — conf
MemA: Fast Inference of Multiple Deep Models.
PerCom Workshops
Jeroen Galjaard, Bart Cox, Amirmasoud Ghiassi, Lydia Y. Chen, Robert Birke
2021 J jnl
Multi-Label Gold Asymmetric Loss Correction with Single-Label Regulators.
CoRR
Cosmin Octavian Pene, Amirmasoud Ghiassi, Taraneh Younesian, Robert Birke, Lydia Y. Chen
2021 A* conf
Online Label Aggregation: A Variational Bayesian Approach.
WWW
Chi Hong, Amirmasoud Ghiassi, Yichi Zhou, Robert Birke, Lydia Y. Chen
2021 C conf
QActor: Active Learning on Noisy Labels.
ACML
Taraneh Younesian, Zilong Zhao, Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen
2021 C conf
TrustNet: Learning from Trusted Data Against (A)symmetric Label Noise.
BDCAT
Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen
2020 — conf
End-to-End Learning from Noisy Crowd to Supervised Machine Learning Models.
CogMI
Taraneh Younesian, Chi Hong, Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen
2020 J jnl
End-to-End Learning from Noisy Crowd to Supervised Machine Learning Models.
CoRR
Taraneh Younesian, Chi Hong, Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen
2020 J jnl
ExpertNet: Adversarial Learning and Recovery Against Noisy Labels.
CoRR
Amirmasoud Ghiassi, Robert Birke, Rui Han, Lydia Y. Chen
2020 J jnl
QActor: On-line Active Learning for Noisy Labeled Stream Data.
CoRR
Taraneh Younesian, Zilong Zhao, Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen
2020 J jnl
TrustNet: Learning from Trusted Data Against (A)symmetric Label Noise.
CoRR
Amirmasoud Ghiassi, Taraneh Younesian, Robert Birke, Lydia Y. Chen
2020 J jnl
Workload Scheduling on heterogeneous Mobile Edge Cloud in 5G networks to Minimize SLA Violation.
CoRR
Mostafa Hadadian Nejad Yousefi, Amirmasoud Ghiassi, Boshra Sadat Hashemi, Maziar Goudarzi
2019 — conf
Robust (Deep) Learning Framework Against Dirty Labels and Beyond.
TPS-ISA
Amirmasoud Ghiassi, Taraneh Younesian, Zilong Zhao, Robert Birke, Valerio Schiavoni, Lydia Y. Chen