Ant Colony Optimization with a Genetic Restart Approach toward Global Optimization. - Hossein Hajimirsadeghi; Mahdy Nabaee; Babak Nadjar Araabi (CSICC, 2008)

Discrete invasive weed optimization algorithm: application to cooperative multiple task assignment of UAVs. - Mohsen Ramezani Ghalenoei; Hossein Hajimirsadeghi; Caro Lucas (CDC, 2009)

Cooperative Coevolutionary Invasive Weed Optimization and its Application to Nash Equilibrium Search in Electricity Markets. - Hossein Hajimirsadeghi; Ahmed Ghazanfari; Ashkan Rahimi-Kian; Caro Lucas (NaBIC, 2009)

Conceptual Imitation Learning: An Application to Human-robot Interaction. - Hossein Hajimirsadeghi; Majid Nili Ahmadabadi; Mostafa Ajallooeian; Babak Nadjar Araabi; Hadi Moradi (ACML, 2010)

Conceptual imitation learning based on functional effects of action. - Hossein Hajimirsadeghi (EUROCON, 2011)

Multiple instance real boosting with aggregation functions. - Hossein Hajimirsadeghi; Greg Mori (ICPR, 2012)

TRECVID 2012 GENIE: Multimedia Event Detection and Recounting. - A. G. Amitha Perera; Sangmin Oh; Megha Pandey; Tianyang Ma; Anthony Hoogs; Arash Vahdat; Kevin J. Cannons; Hossein Hajimirsadeghi; Greg Mori; Scott McCloskey; Ben Miller; Sharath Venkatesha; et al. (TRECVID, 2012)

Multiobjective invasive weed optimization: Application to analysis of Pareto improvement models in electricity markets. - Amir Hossein Nikoofard; Hossein Hajimirsadeghi; Ashkan Rahimi-Kian; Caro Lucas (Appl. Soft Comput., 2012)

Conceptual Imitation Learning in a Human-Robot Interaction Paradigm. - Hossein Hajimirsadeghi; Majid Nili Ahmadabadi; Babak Nadjar Araabi; Hadi Moradi (ACM Trans. Intell. Syst. Technol., 2012)

TRECVID 2013 GENIE: Multimedia Event Detection and Recounting. - Sangmin Oh; A. G. Amitha Perera; Ilseo Kim; Megha Pandey; Kevin J. Cannons; Hossein Hajimirsadeghi; Arash Vahdat; Greg Mori; Ben Miller; Scott McCloskey; You-Chi Cheng; Zhen Huang 001; et al. (TRECVID, 2013)

Multiple Instance Learning by Discriminative Training of Markov Networks. - Hossein Hajimirsadeghi; Jinling Li; Greg Mori; Mohamed H. Zaki; Tarek Sayed (UAI, 2013)

Conceptual Imitation Learning Based on Perceptual and Functional Characteristics of Action. - Hossein Hajimirsadeghi; Majid Nili Ahmadabadi; Babak Nadjar Araabi (IEEE Trans. Auton. Ment. Dev., 2013)

Multimedia event detection with multimodal feature fusion and temporal concept localization. - Sangmin Oh; Scott McCloskey; Ilseo Kim; Arash Vahdat; Kevin J. Cannons; Hossein Hajimirsadeghi; Greg Mori; A. G. Amitha Perera; Megha Pandey; Jason J. Corso (Mach. Vis. Appl., 2014)

Visual recognition by counting instances: A multi-instance cardinality potential kernel. - Hossein Hajimirsadeghi; Wang Yan; Arash Vahdat; Greg Mori (CVPR, 2015)

Discovering human interactions in videos with limited data labeling. - Mehran Khodabandeh; Arash Vahdat; Guang-Tong Zhou; Hossein Hajimirsadeghi; Mehrsan Javan Roshtkhari; Greg Mori; Stephen Se (CVPR Workshops, 2015)

Learning Ensembles of Potential Functions for Structured Prediction with Latent Variables. - Hossein Hajimirsadeghi; Greg Mori (ICCV, 2015)

Multi-Instance Classification by Max-Margin Training of Cardinality-Based Markov Networks. - Hossein Hajimirsadeghi; Greg Mori (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

Variational Selective Autoencoder. - Yu Gong; Hossein Hajimirsadeghi; Jiawei He 001; Megha Nawhal; Thibaut Durand; Greg Mori (AABI, 2019)

Graph Generation with Variational Recurrent Neural Network. - Shih-Yang Su; Hossein Hajimirsadeghi; Greg Mori (CoRR, 2019)

Learning to Detect Blue-White Structures in Dermoscopy Images With Weak Supervision. - Ali Madooei; Mark S. Drew; Hossein Hajimirsadeghi (IEEE J. Biomed. Health Informatics, 2019)

Adapting Grad-CAM for Embedding Networks. - Lei Chen 023; Jianhui Chen; Hossein Hajimirsadeghi; Greg Mori (WACV, 2020)

Variational Selective Autoencoder: Learning from Partially-Observed Heterogeneous Data. - Yu Gong; Hossein Hajimirsadeghi; Jiawei He 001; Thibaut Durand; Greg Mori (AISTATS, 2021)

TD-GEN: Graph Generation With Tree Decomposition. - Hamed Shirzad; Hossein Hajimirsadeghi; Amir H. Abdi; Greg Mori (CoRR, 2021)

TD-GEN: Graph Generation Using Tree Decomposition. - Hamed Shirzad; Hossein Hajimirsadeghi; Amir H. Abdi; Greg Mori (AISTATS, 2022)

Monotonicity regularization: Improved penalties and novel applications to disentangled representation learning and robust classification. - Joao Monteiro; Mohamed Osama Ahmed; Hossein Hajimirsadeghi; Greg Mori (UAI, 2022)

Stop Overcomplicating Selective Classification: Use Max-Logit. - Leo Feng; Mohamed Osama Ahmed; Hossein Hajimirsadeghi; Amir H. Abdi (CoRR, 2022)

Training a Vision Transformer from scratch in less than 24 hours with 1 GPU. - Saghar Irandoust; Thibaut Durand; Yunduz Rakhmangulova; Wenjie Zi; Hossein Hajimirsadeghi (CoRR, 2022)

Towards Better Selective Classification. - Leo Feng; Mohamed Osama Ahmed; Hossein Hajimirsadeghi; Amir H. Abdi (ICLR, 2023)

Latent Bottlenecked Attentive Neural Processes. - Leo Feng; Hossein Hajimirsadeghi; Yoshua Bengio; Mohamed Osama Ahmed (ICLR, 2023)

Constant Memory Attentive Neural Processes. - Leo Feng; Frederick Tung; Hossein Hajimirsadeghi; Yoshua Bengio; Mohamed Osama Ahmed (CoRR, 2023)

Constant Memory Attention Block. - Leo Feng; Frederick Tung; Hossein Hajimirsadeghi; Yoshua Bengio; Mohamed Osama Ahmed (CoRR, 2023)

Prompting-based Efficient Temporal Domain Generalization. - Sepidehsadat Hosseini; Mengyao Zhai; Hossein Hajimirsadeghi; Frederick Tung (CoRR, 2023)

Tree Cross Attention. - Leo Feng; Frederick Tung; Hossein Hajimirsadeghi; Yoshua Bengio; Mohamed Osama Ahmed (ICLR, 2024)

Memory Efficient Neural Processes via Constant Memory Attention Block. - Leo Feng; Frederick Tung; Hossein Hajimirsadeghi; Yoshua Bengio; Mohamed Osama Ahmed (ICML, 2024)

Attention as an RNN. - Leo Feng; Frederick Tung; Hossein Hajimirsadeghi; Mohamed Osama Ahmed; Yoshua Bengio; Greg Mori (CoRR, 2024)

Were RNNs All We Needed? - Leo Feng; Frederick Tung; Mohamed Osama Ahmed; Yoshua Bengio; Hossein Hajimirsadeghi (CoRR, 2024)

Radar: Fast Long-Context Decoding for Any Transformer. - Yongchang Hao; Mengyao Zhai; Hossein Hajimirsadeghi; Sepidehsadat Hosseini; Frederick Tung (ICLR, 2025)

TabReason: A Reinforcement Learning-Enhanced Reasoning LLM for Explainable Tabular Data Prediction. - Tommy Xu; Zhitian Zhang; Xiangyu Sun; Lauren Kelly Zung; Hossein Hajimirsadeghi; Greg Mori (CoRR, 2025)