Mina Alibeigi

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 20

Top Topics

Neural Architecture

Unlabeled Instances

Reinforcement Learning

Inverse Kinematics

Top Venues

IEEE Trans. Robotics

ACM Trans. Embed. Comput. Syst.

Publications

Xinchi Qiu, Yan Gao, Lorenzo Sani, Heng Pan, Wanru Zhao, Pedro P. B. de Gusmao, Mina Alibeigi, Alex Iacob, Nicholas D. Lane
FedAnchor: Enhancing Federated Semi-Supervised Learning with Label Contrastive Loss for Unlabeled Clients. CoRR (2024)
Hannes Eriksson, Tommy Tram, Debabrota Basu, Mina Alibeigi, Christos Dimitrakakis
Reinforcement Learning in the Wild with Maximum Likelihood-based Model Transfer. AAMAS (2024)
Yadong Mao, Zhuqi Xiao, Che-Tsung Lin, Pedro Porto Buarque de Gusmão, Nicholas D. Lane, Christopher Zach, Mina Alibeigi
Decentralized Training of 3D Lane Detection with Automatic Labeling Using HD Maps. VTC2023-Spring (2023)
Mina Alibeigi, William Ljungbergh, Adam Tonderski, Georg Hess, Adam Lilja, Carl Lindström, Daria Motorniuk, Junsheng Fu, Jenny Widahl, Christoffer Petersson
Zenseact Open Dataset: A large-scale and diverse multimodal dataset for autonomous driving. ICCV (2023)
Yasar Abbas Ur Rehman, Yan Gao, Pedro Porto Buarque de Gusmão, Mina Alibeigi, Jiajun Shen, Nicholas D. Lane
L-DAWA: Layer-wise Divergence Aware Weight Aggregation in Federated Self-Supervised Visual Representation Learning. ICCV (2023)
Mina Alibeigi, William Ljungbergh, Adam Tonderski, Georg Hess, Adam Lilja, Carl Lindström, Daria Motorniuk, Junsheng Fu, Jenny Widahl, Christoffer Petersson
Zenseact Open Dataset: A large-scale and diverse multimodal dataset for autonomous driving. CoRR (2023)
Hamid Mousavi, Mohammad Loni, Mina Alibeigi, Masoud Daneshtalab
DASS: Differentiable Architecture Search for Sparse Neural Networks. ACM Trans. Embed. Comput. Syst. 22 (5s) (2023)
Viktor Valadi, Xinchi Qiu, Pedro Porto Buarque de Gusmão, Nicholas D. Lane, Mina Alibeigi
FedVal: Different good or different bad in federated learning. USENIX Security Symposium (2023)
Yasar Abbas Ur Rehman, Yan Gao, Pedro Porto Buarque de Gusmão, Mina Alibeigi, Jiajun Shen, Nicholas D. Lane
L-DAWA: Layer-wise Divergence Aware Weight Aggregation in Federated Self-Supervised Visual Representation Learning. CoRR (2023)
Ali Zoljodi, Sadegh Abadijou, Mina Alibeigi, Masoud Daneshtalab
Contrastive Learning for Lane Detection via Cross-Similarity. CoRR (2023)
Hannes Eriksson, Debabrota Basu, Tommy Tram, Mina Alibeigi, Christos Dimitrakakis
Reinforcement Learning in the Wild with Maximum Likelihood-based Model Transfer. CoRR (2023)
Viktor Valadi, Xinchi Qiu, Pedro Porto Buarque de Gusmão, Nicholas D. Lane, Mina Alibeigi
FedVal: Different good or different bad in federated learning. CoRR (2023)
Hamid Mousavi, Mohammad Loni, Mina Alibeigi, Masoud Daneshtalab
PR-DARTS: Pruning-Based Differentiable Architecture Search. CoRR (2022)
Ali Zoljodi, Mohammad Loni, Sadegh Abadijou, Mina Alibeigi, Masoud Daneshtalab
3DLaneNAS: Neural Architecture Search for Accurate and Light-Weight 3D Lane Detection. ICANN (1) (2022)
Hannes Eriksson, Debabrota Basu, Mina Alibeigi, Christos Dimitrakakis
Risk-Sensitive Bayesian Games for Multi-Agent Reinforcement Learning under Policy Uncertainty. CoRR (2022)
Hannes Eriksson, Debabrota Basu, Mina Alibeigi, Christos Dimitrakakis
SENTINEL: taming uncertainty with ensemble based distributional reinforcement learning. UAI (2022)
Hannes Eriksson, Debabrota Basu, Mina Alibeigi, Christos Dimitrakakis
SENTINEL: Taming Uncertainty with Ensemble-based Distributional Reinforcement Learning. CoRR (2021)
Mina Alibeigi, Sadegh Rabiee, Majid Nili Ahmadabadi
Inverse Kinematics Based Human Mimicking System using Skeletal Tracking Technology. J. Intell. Robotic Syst. 85 (1) (2017)
Mina Alibeigi, Majid Nili Ahmadabadi, Babak Nadjar Araabi
Incremental learning of high-level concepts by imitation. CoRR (2017)
Mina Alibeigi, Majid Nili Ahmadabadi, Babak Nadjar Araabi
A Fast, Robust, and Incremental Model for Learning High-Level Concepts From Human Motions by Imitation. IEEE Trans. Robotics 33 (1) (2017)
Mina Alibeigi, Sattar Hashemi, Ali Hamzeh
DBFS: An effective Density Based Feature Selection scheme for small sample size and high dimensional imbalanced data sets. Data Knowl. Eng. (2012)