Hossein Hajimirsadeghi

49 papers A* 7A 5B 1C 1Misc 1Journal 27Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Radar: Fast Long-Context Decoding for Any Transformer. ICLR Yongchang Hao, Mengyao Zhai, Hossein Hajimirsadeghi, Sepidehsadat Hosseini, Frederick Tung
2025	J	`jnl`	Radar: Fast Long-Context Decoding for Any Transformer. CoRR Yongchang Hao, Mengyao Zhai, Hossein Hajimirsadeghi, Sepidehsadat Hosseini, Frederick Tung
2025	J	`jnl`	TabReason: A Reinforcement Learning-Enhanced Reasoning LLM for Explainable Tabular Data Prediction. CoRR Tommy Xu, Zhitian Zhang, Xiangyu Sun, Lauren Kelly Zung, Hossein Hajimirsadeghi, Greg Mori
2025	J	`jnl`	You Need Reasoning to Learn Reasoning: The Limitations of Label-Free RL in Weak Base Models. CoRR Shuvendu Roy, Hossein Hajimirsadeghi, Mengyao Zhai, Golnoosh Samei
2024	J	`jnl`	Attention as an RNN. CoRR Leo Feng, Frederick Tung, Hossein Hajimirsadeghi, Mohamed Osama Ahmed, Yoshua Bengio, Greg Mori
2024	A*	`conf`	Memory Efficient Neural Processes via Constant Memory Attention Block. ICML Leo Feng, Frederick Tung, Hossein Hajimirsadeghi, Yoshua Bengio, Mohamed Osama Ahmed
2024	A*	`conf`	Tree Cross Attention. ICLR Leo Feng, Frederick Tung, Hossein Hajimirsadeghi, Yoshua Bengio, Mohamed Osama Ahmed
2024	J	`jnl`	Were RNNs All We Needed? CoRR Leo Feng, Frederick Tung, Mohamed Osama Ahmed, Yoshua Bengio, Hossein Hajimirsadeghi
2023	J	`jnl`	Constant Memory Attention Block. CoRR Leo Feng, Frederick Tung, Hossein Hajimirsadeghi, Yoshua Bengio, Mohamed Osama Ahmed
2023	J	`jnl`	Constant Memory Attentive Neural Processes. CoRR Leo Feng, Frederick Tung, Hossein Hajimirsadeghi, Yoshua Bengio, Mohamed Osama Ahmed
2023	A*	`conf`	Latent Bottlenecked Attentive Neural Processes. ICLR Leo Feng, Hossein Hajimirsadeghi, Yoshua Bengio, Mohamed Osama Ahmed
2023	J	`jnl`	Prompting-based Efficient Temporal Domain Generalization. CoRR Sepidehsadat Hosseini, Mengyao Zhai, Hossein Hajimirsadeghi, Frederick Tung
2023	A*	`conf`	Towards Better Selective Classification. ICLR Leo Feng, Mohamed Osama Ahmed, Hossein Hajimirsadeghi, Amir H. Abdi
2023	J	`jnl`	Tree Cross Attention. CoRR Leo Feng, Frederick Tung, Hossein Hajimirsadeghi, Yoshua Bengio, Mohamed Osama Ahmed
2022	J	`jnl`	Latent Bottlenecked Attentive Neural Processes. CoRR Leo Feng, Hossein Hajimirsadeghi, Yoshua Bengio, Mohamed Osama Ahmed
2022	J	`jnl`	Monotonicity Regularization: Improved Penalties and Novel Applications to Disentangled Representation Learning and Robust Classification. CoRR Joao Monteiro, Mohamed Osama Ahmed, Hossein Hajimirsadeghi, Greg Mori
2022	A	`conf`	Monotonicity regularization: Improved penalties and novel applications to disentangled representation learning and robust classification. UAI Joao Monteiro, Mohamed Osama Ahmed, Hossein Hajimirsadeghi, Greg Mori
2022	J	`jnl`	Stop Overcomplicating Selective Classification: Use Max-Logit. CoRR Leo Feng, Mohamed Osama Ahmed, Hossein Hajimirsadeghi, Amir H. Abdi
2022	A	`conf`	TD-GEN: Graph Generation Using Tree Decomposition. AISTATS Hamed Shirzad, Hossein Hajimirsadeghi, Amir H. Abdi, Greg Mori
2022	J	`jnl`	Training a Vision Transformer from scratch in less than 24 hours with 1 GPU. CoRR Saghar Irandoust, Thibaut Durand, Yunduz Rakhmangulova, Wenjie Zi, Hossein Hajimirsadeghi
2021	J	`jnl`	TD-GEN: Graph Generation With Tree Decomposition. CoRR Hamed Shirzad, Hossein Hajimirsadeghi, Amir H. Abdi, Greg Mori
2021	A	`conf`	Variational Selective Autoencoder: Learning from Partially-Observed Heterogeneous Data. AISTATS Yu Gong, Hossein Hajimirsadeghi, Jiawei He, Thibaut Durand, Greg Mori
2021	J	`jnl`	Variational Selective Autoencoder: Learning from Partially-Observed Heterogeneous Data. CoRR Yu Gong, Hossein Hajimirsadeghi, Jiawei He, Thibaut Durand, Greg Mori
2020	A	`conf`	Adapting Grad-CAM for Embedding Networks. WACV Lei Chen, Jianhui Chen, Hossein Hajimirsadeghi, Greg Mori
2020	J	`jnl`	Adapting Grad-CAM for Embedding Networks. CoRR Lei Chen, Jianhui Chen, Hossein Hajimirsadeghi, Greg Mori
2019	J	`jnl`	Graph Generation with Variational Recurrent Neural Network. CoRR Shih-Yang Su, Hossein Hajimirsadeghi, Greg Mori
2019	J	`jnl`	Learning to Detect Blue-White Structures in Dermoscopy Images With Weak Supervision. IEEE J. Biomed. Health Informatics Ali Madooei, Mark S. Drew, Hossein Hajimirsadeghi
2019	—	`conf`	Variational Selective Autoencoder. AABI Yu Gong, Hossein Hajimirsadeghi, Jiawei He, Megha Nawhal, Thibaut Durand, Greg Mori
2017	J	`jnl`	Multi-Instance Classification by Max-Margin Training of Cardinality-Based Markov Networks. IEEE Trans. Pattern Anal. Mach. Intell. Hossein Hajimirsadeghi, Greg Mori
2015	J	`jnl`	Discovering Human Interactions in Videos with Limited Data Labeling. CoRR Mehran Khodabandeh, Arash Vahdat, Guang-Tong Zhou, Hossein Hajimirsadeghi, Mehrsan Javan Roshtkhari, Greg Mori, Stephen Se
2015	—	`conf`	Discovering human interactions in videos with limited data labeling. CVPR Workshops Mehran Khodabandeh, Arash Vahdat, Guang-Tong Zhou, Hossein Hajimirsadeghi, Mehrsan Javan Roshtkhari, Greg Mori, Stephen Se
2015	A*	`conf`	Learning Ensembles of Potential Functions for Structured Prediction with Latent Variables. ICCV Hossein Hajimirsadeghi, Greg Mori
2015	J	`jnl`	Learning to Detect Blue-white Structures in Dermoscopy Images with Weak Supervision. CoRR Ali Madooei, Mark S. Drew, Hossein Hajimirsadeghi
2015	J	`jnl`	Visual Recognition by Counting Instances: A Multi-Instance Cardinality Potential Kernel. CoRR Hossein Hajimirsadeghi, Wang Yan, Arash Vahdat, Greg Mori
2015	A*	`conf`	Visual recognition by counting instances: A multi-instance cardinality potential kernel. CVPR Hossein Hajimirsadeghi, Wang Yan, Arash Vahdat, Greg Mori
2014	J	`jnl`	Multimedia event detection with multimodal feature fusion and temporal concept localization. Mach. Vis. Appl. Sangmin Oh, Scott McCloskey, Ilseo Kim, Arash Vahdat, Kevin J. Cannons, Hossein Hajimirsadeghi, Greg Mori, A. G. Amitha Perera, Megha Pandey, Jason J. Corso
2013	J	`jnl`	Conceptual Imitation Learning Based on Perceptual and Functional Characteristics of Action. IEEE Trans. Auton. Ment. Dev. Hossein Hajimirsadeghi, Majid Nili Ahmadabadi, Babak Nadjar Araabi
2013	A	`conf`	Multiple Instance Learning by Discriminative Training of Markov Networks. UAI Hossein Hajimirsadeghi, Jinling Li, Greg Mori, Mohamed H. Zaki, Tarek Sayed
2013	J	`jnl`	Multiple Instance Learning by Discriminative Training of Markov Networks. CoRR Hossein Hajimirsadeghi, Jinling Li, Greg Mori, Mohamed H. Zaki, Tarek Sayed
2013	—	`conf`	TRECVID 2013 GENIE: Multimedia Event Detection and Recounting. TRECVID 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, Chin-Hui Lee, Chenliang Xu, Rohit Kumar, Wei Chen, Jason J. Corso, Li Fei-Fei, Daphne Koller, Vignesh Ramanathan, Kevin Tang, Armand Joulin, Alexandre Alahi
2012	J	`jnl`	Conceptual Imitation Learning in a Human-Robot Interaction Paradigm. ACM Trans. Intell. Syst. Technol. Hossein Hajimirsadeghi, Majid Nili Ahmadabadi, Babak Nadjar Araabi, Hadi Moradi
2012	J	`jnl`	Multiobjective invasive weed optimization: Application to analysis of Pareto improvement models in electricity markets. Appl. Soft Comput. Amir Hossein Nikoofard, Hossein Hajimirsadeghi, Ashkan Rahimi-Kian, Caro Lucas
2012	B	`conf`	Multiple instance real boosting with aggregation functions. ICPR Hossein Hajimirsadeghi, Greg Mori
2012	—	`conf`	TRECVID 2012 GENIE: Multimedia Event Detection and Recounting. TRECVID 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, Pedro Davalos, Pradipto Das, Chenliang Xu, Jason J. Corso, Rohini K. Srihari, Ilseo Kim, You-Chi Cheng, Zhen Huang, Chin-Hui Lee, Kevin Tang, Li Fei-Fei, Daphne Koller
2011	—	`conf`	Conceptual imitation learning based on functional effects of action. EUROCON Hossein Hajimirsadeghi
2010	C	`conf`	Conceptual Imitation Learning: An Application to Human-robot Interaction. ACML Hossein Hajimirsadeghi, Majid Nili Ahmadabadi, Mostafa Ajallooeian, Babak Nadjar Araabi, Hadi Moradi
2009	—	`conf`	Cooperative Coevolutionary Invasive Weed Optimization and its Application to Nash Equilibrium Search in Electricity Markets. NaBIC Hossein Hajimirsadeghi, Ahmed Ghazanfari, Ashkan Rahimi-Kian, Caro Lucas
2009	—	`conf`	Discrete invasive weed optimization algorithm: application to cooperative multiple task assignment of UAVs. CDC Mohsen Ramezani Ghalenoei, Hossein Hajimirsadeghi, Caro Lucas
2008	Misc	`conf`	Ant Colony Optimization with a Genetic Restart Approach toward Global Optimization. CSICC Hossein Hajimirsadeghi, Mahdy Nabaee, Babak Nadjar Araabi