Ehsan Abbasnejad

135 papers A* 36A 7B 2C 1Misc 2Journal 75Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Certified but Fooled! Breaking Certified Defenses with Ghost Certificates. AAAI Viet Quoc Vo, Tashreque Mohammed Haq, Paul Montague, Tamas Abraham, Ehsan Abbasnejad, Damith C. Ranasinghe
2026	J	`jnl`	Parameter-efficient action planning with large language models for vision-and-language navigation. Pattern Recognit. Bahram Mohammadi, Ehsan Abbasnejad, Yuankai Qi, Qi Wu, Anton van den Hengel, Javen Qinfeng Shi
2026	J	`jnl`	Truth as a Trajectory: What Internal Representations Reveal About Large Language Model Reasoning. CoRR Hamed Damirchi, Ignacio M. De La Jara, Ehsan Abbasnejad, Afshar Shamsi, Zhen Zhang, Javen Shi
2025	A*	`conf`	Bayesian Low-Rank Learning (Bella): A Practical Approach to Bayesian Neural Networks. AAAI Bao Gia Doan, Afshar Shamsi, Xiao-Yu Guo, Arash Mohammadi, Hamid Alinejad-Rokny, Dino Sejdinovic, Damien Teney, Damith C. Ranasinghe, Ehsan Abbasnejad
2025	J	`jnl`	Beyond Imitation: Recovering Dense Rewards from Demonstrations. CoRR Jiangnan Li, Thuy-Trang Vu, Ehsan Abbasnejad, Gholamreza Haffari
2025	J	`jnl`	CEDL: Centre-Enhanced Discriminative Learning for Anomaly Detection. CoRR Zahra Zamanzadeh Darban, Qizhou Wang, Charu C. Aggarwal, Geoffrey I. Webb, Ehsan Abbasnejad, Mahsa Salehi
2025	J	`jnl`	Certified but Fooled! Breaking Certified Defences with Ghost Certificates. CoRR Viet Quoc Vo, Tashreque Mohammed Haq, Paul Montague, Tamas Abraham, Ehsan Abbasnejad, Damith C. Ranasinghe
2025	J	`jnl`	Decomposing Task Vectors for Refined Model Editing. CoRR Hamed Damirchi, Ehsan Abbasnejad, Zhen Zhang, Javen Shi
2025	A*	`conf`	Do Deep Neural Network Solutions Form a Star Domain? ICLR Ankit Sonthalia, Alexander Rubinstein, Ehsan Abbasnejad, Seong Joon Oh
2025	A*	`conf`	Do We Always Need the Simplicity Bias? Looking for Optimal Inductive Biases in the Wild. CVPR Damien Teney, Liangze Jiang, Florin Gogianu, Ehsan Abbasnejad
2025	J	`jnl`	Do We Always Need the Simplicity Bias? Looking for Optimal Inductive Biases in the Wild. CoRR Damien Teney, Liangze Jiang, Florin Gogianu, Ehsan Abbasnejad
2025	B	`conf`	ETAGE: Enhanced Test Time Adaptation with Integrated Entropy and Gradient Norms for Robust Model Performance. SMC Afshar Shamsi, Rejisa Becirovic, Ahmadreza Argha, Ehsan Abbasnejad, Hamid Alinejad-Rokny, Arash Mohammadi
2025	J	`jnl`	Graph spectral purification for backdoor defence in graph neural networks. World Wide Web (WWW) Shuiqiao Yang, Bao Gia Doan, Paul Montague, Olivier Y. de Vel, Tamas Abraham, Alsharif Abuadbba, Ehsan Abbasnejad, Seyit Camtepe, Damith C. Ranasinghe, Salil S. Kanhere
2025	J	`jnl`	Learning to Reason and Navigate: Parameter Efficient Action Planning with Large Language Models. CoRR Bahram Mohammadi, Ehsan Abbasnejad, Yuankai Qi, Qi Wu, Anton van den Hengel, Javen Qinfeng Shi
2025	J	`jnl`	Mysteries of the Deep: Role of Intermediate Representations in Out of Distribution Detection. CoRR Ignacio M. De La Jara, Cristian Rodriguez Opazo, Damien Teney, Damith Ranasinghe, Ehsan Abbasnejad
2025	A*	`conf`	RandLoRA: Full rank parameter-efficient fine-tuning of large models. ICLR Paul Albert, Frederic Z. Zhang, Hemanth Saratchandran, Cristian Rodriguez Opazo, Anton van den Hengel, Ehsan Abbasnejad
2025	J	`jnl`	RandLoRA: Full-rank parameter-efficient fine-tuning of large models. CoRR Paul Albert, Frederic Z. Zhang, Hemanth Saratchandran, Cristian Rodriguez Opazo, Anton van den Hengel, Ehsan Abbasnejad
2025	A*	`conf`	Synergy and Diversity in CLIP: Enhancing Performance Through Adaptive Backbone Ensembling. ICLR Cristian Rodriguez Opazo, Ehsan Abbasnejad, Damien Teney, Hamed Damirchi, Edison Marrese-Taylor, Anton van den Hengel
2025	J	`jnl`	The Quest for Winning Tickets in Low-Rank Adapters. CoRR Hamed Damirchi, Cristian Rodriguez Opazo, Ehsan Abbasnejad, Zhen Zhang, Javen Shi
2025	J	`jnl`	Towards Higher Effective Rank in Parameter-efficient Fine-tuning using Khatri-Rao Product. CoRR Paul Albert, Frederic Z. Zhang, Hemanth Saratchandran, Anton van den Hengel, Ehsan Abbasnejad
2024	A*	`conf`	BLURD: Benchmarking and Learning using a Unified Rendering and Diffusion Model. NeurIPS Boris Repasky, Ehsan Abbasnejad, Anthony R. Dick
2024	J	`jnl`	Bayesian Learned Models Can Detect Adversarial Malware For Free. CoRR Bao Gia Doan, Dang Quang Nguyen, Paul Montague, Tamas Abraham, Olivier Y. de Vel, Seyit Camtepe, Salil S. Kanhere, Ehsan Abbasnejad, Damith C. Ranasinghe
2024	—	`conf`	Bayesian Learned Models Can Detect Adversarial Malware for Free. ESORICS (1) Bao Gia Doan, Dang Quang Nguyen, Paul Montague, Tamas Abraham, Olivier Y. de Vel, Seyit Camtepe, Salil S. Kanhere, Ehsan Abbasnejad, Damith C. Ranasinghe
2024	J	`jnl`	Bayesian Low-Rank LeArning (Bella): A Practical Approach to Bayesian Neural Networks. CoRR Bao Gia Doan, Afshar Shamsi, Xiao-Yu Guo, Arash Mohammadi, Hamid Alinejad-Rokny, Dino Sejdinovic, Damith C. Ranasinghe, Ehsan Abbasnejad
2024	J	`jnl`	BruSLeAttack: A Query-Efficient Score-Based Black-Box Sparse Adversarial Attack. CoRR Viet Quoc Vo, Ehsan Abbasnejad, Damith C. Ranasinghe
2024	A*	`conf`	Brusleattack: a Query-Efficient Score- based Black-Box Sparse Adversarial Attack. ICLR Viet Quoc Vo, Ehsan Abbasnejad, Damith Ranasinghe
2024	J	`jnl`	Do Deep Neural Network Solutions Form a Star Domain? CoRR Ankit Sonthalia, Alexander Rubinstein, Ehsan Abbasnejad, Seong Joon Oh
2024	J	`jnl`	ETAGE: Enhanced Test Time Adaptation with Integrated Entropy and Gradient Norms for Robust Model Performance. CoRR Afshar Shamsi, Rejisa Becirovic, Ahmadreza Argha, Ehsan Abbasnejad, Hamid Alinejad-Rokny, Arash Mohammadi
2024	B	`conf`	Invariant Representation Learning for Generalizable Imitation. ESANN Mohamed Khalil Jabri, Panagiotis Papadakis, Ehsan Abbasnejad, Gilles Coppin, Javen Shi
2024	J	`jnl`	InvariantStock: Learning Invariant Features for Mastering the Shifting Market. CoRR Haiyao Cao, Jinan Zou, Yuhang Liu, Zhen Zhang, Ehsan Abbasnejad, Anton van den Hengel, Javen Qinfeng Shi
2024	J	`jnl`	InvariantStock: Learning Invariant Features for Mastering the Shifting Market. Trans. Mach. Learn. Res. Haiyao Cao, Jinan Zou, Yuhang Liu, Zhen Zhang, Ehsan Abbasnejad, Anton van den Hengel, Javen Qinfeng Shi
2024	A*	`conf`	Knowledge Composition using Task Vectors with Learned Anisotropic Scaling. NeurIPS Frederic Z. Zhang, Paul Albert, Cristian Rodriguez Opazo, Anton van den Hengel, Ehsan Abbasnejad
2024	J	`jnl`	Knowledge Composition using Task Vectors with Learned Anisotropic Scaling. CoRR Frederic Z. Zhang, Paul Albert, Cristian Rodriguez Opazo, Anton van den Hengel, Ehsan Abbasnejad
2024	A*	`conf`	Neural Redshift: Random Networks are not Random Functions. CVPR Damien Teney, Armand Mihai Nicolicioiu, Valentin Hartmann, Ehsan Abbasnejad
2024	J	`jnl`	Neural Redshift: Random Networks are not Random Functions. CoRR Damien Teney, Armand Nicolicioiu, Valentin Hartmann, Ehsan Abbasnejad
2024	A	`conf`	On the Credibility of Backdoor Attacks Against Object Detectors in the Physical World. ACSAC Bao Gia Doan, Dang Quang Nguyen, Callum Lindquist, Paul Montague, Tamas Abraham, Olivier Y. de Vel, Seyit Camtepe, Salil S. Kanhere, Ehsan Abbasnejad, Damith C. Ranasinghe
2024	J	`jnl`	On the Credibility of Backdoor Attacks Against Object Detectors in the Physical World. CoRR Bao Gia Doan, Dang Quang Nguyen, Callum Lindquist, Paul Montague, Tamas Abraham, Olivier Y. de Vel, Seyit Camtepe, Salil S. Kanhere, Ehsan Abbasnejad, Damith C. Ranasinghe
2024	J	`jnl`	Premonition: Using Generative Models to Preempt Future Data Changes in Continual Learning. CoRR Mark D. McDonnell, Dong Gong, Ehsan Abbasnejad, Anton van den Hengel
2024	J	`jnl`	Rethinking State Disentanglement in Causal Reinforcement Learning. CoRR Haiyao Cao, Zhen Zhang, Panpan Cai, Yuhang Liu, Jinan Zou, Ehsan Abbasnejad, Biwei Huang, Mingming Gong, Anton van den Hengel, Javen Qinfeng Shi
2024	A*	`conf`	Selective Mixup Helps with Distribution Shifts, But Not (Only) because of Mixup. ICML Damien Teney, Jindong Wang, Ehsan Abbasnejad
2024	—	`conf`	Semantic Role Labeling Guided Out-of-distribution Detection. LREC/COLING Jinan Zou, Maihao Guo, Yu Tian, Yuhao Lin, Haiyao Cao, Lingqiao Liu, Ehsan Abbasnejad, Javen Qinfeng Shi
2024	J	`jnl`	Synergy and Diversity in CLIP: Enhancing Performance Through Adaptive Backbone Ensembling. CoRR Cristian Rodriguez Opazo, Ehsan Abbasnejad, Damien Teney, Edison Marrese-Taylor, Hamed Damirchi, Anton van den Hengel
2023	J	`jnl`	Deep Metric Learning for Scalable Gait-Based Person Re-Identification Using Force Platform Data. Sensors Kayne A. Duncanson, Simon Thwaites, David Booth, Gary Hanly, William S. P. Robertson, Ehsan Abbasnejad, Dominic Thewlis
2023	A*	`conf`	Energy-based Self-Training and Normalization for Unsupervised Domain Adaptation. ICCV Samitha Herath, Basura Fernando, Ehsan Abbasnejad, Munawar Hayat, Shahram Khadivi, Mehrtash Harandi, Hamid Rezatofighi, Gholamreza Haffari
2023	A*	`conf`	Feature-Space Bayesian Adversarial Learning Improved Malware Detector Robustness. AAAI Bao Gia Doan, Shuiqiao Yang, Paul Montague, Olivier Y. de Vel, Tamas Abraham, Seyit Camtepe, Salil S. Kanhere, Ehsan Abbasnejad, Damith C. Ranasinghe
2023	J	`jnl`	Feature-Space Bayesian Adversarial Learning Improved Malware Detector Robustness. CoRR Bao Gia Doan, Shuiqiao Yang, Paul Montague, Olivier Y. de Vel, Tamas Abraham, Seyit Camtepe, Salil S. Kanhere, Ehsan Abbasnejad, Damith C. Ranasinghe
2023	A*	`conf`	ID and OOD Performance Are Sometimes Inversely Correlated on Real-world Datasets. NeurIPS Damien Teney, Yong Lin, Seong Joon Oh, Ehsan Abbasnejad
2023	—	`conf`	Improving Reward Estimation in Goal-Conditioned Imitation Learning with Counterfactual Data and Structural Causal Models. ICINCO (2) Mohamed Khalil Jabri, Panagiotis Papadakis, Ehsan Abbasnejad, Gilles Coppin, Javen Shi
2023	A	`conf`	LAVA:Label-efficient Visual Learning and Adaptation. WACV Islam Nassar, Munawar Hayat, Ehsan Abbasnejad, Hamid Rezatofighi, Mehrtash Harandi, Gholamreza Haffari
2023	—	`conf`	Progressive Feature Adjustment for Semi-supervised Learning from Pretrained Models. ICCV (Workshops) Hai-Ming Xu, Lingqiao Liu, Hao Chen, Ehsan Abbasnejad, Rafael Felix
2023	J	`jnl`	Progressive Feature Adjustment for Semi-supervised Learning from Pretrained Models. CoRR Hai-Ming Xu, Lingqiao Liu, Hao Chen, Ehsan Abbasnejad, Rafael Felix
2023	J	`jnl`	ProtoCon: Pseudo-label Refinement via Online Clustering and Prototypical Consistency for Efficient Semi-supervised Learning. CoRR Islam Nassar, Munawar Hayat, Ehsan Abbasnejad, Hamid Rezatofighi, Gholamreza Haffari
2023	A*	`conf`	Protocon: Pseudo-Label Refinement via Online Clustering and Prototypical Consistency for Efficient Semi-Supervised Learning. CVPR Islam Nassar, Munawar Hayat, Ehsan Abbasnejad, Hamid Rezatofighi, Gholamreza Haffari
2023	A*	`conf`	RanPAC: Random Projections and Pre-trained Models for Continual Learning. NeurIPS Mark D. McDonnell, Dong Gong, Amin Parvaneh, Ehsan Abbasnejad, Anton van den Hengel
2023	J	`jnl`	RanPAC: Random Projections and Pre-trained Models for Continual Learning. CoRR Mark D. McDonnell, Dong Gong, Amin Parvaneh, Ehsan Abbasnejad, Anton van den Hengel
2023	—	`conf`	SCONE-GAN: Semantic Contrastive learning-based Generative Adversarial Network for an end-to-end image translation. CVPR Workshops Iman Abbasnejad, Fabio Zambetta, Flora D. Salim, Timothy Wiley, Jeffrey Chan, Russell Gallagher, Ehsan Abbasnejad
2023	J	`jnl`	SCONE-GAN: Semantic Contrastive learning-based Generative Adversarial Network for an end-to-end image translation. CoRR Iman Abbasnejad, Fabio Zambetta, Flora D. Salim, Timothy Wiley, Jeffrey Chan, Russell Gallagher, Ehsan Abbasnejad
2023	J	`jnl`	Selective Mixup Helps with Distribution Shifts, But Not (Only) because of Mixup. CoRR Damien Teney, Jindong Wang, Ehsan Abbasnejad
2023	J	`jnl`	Semantic Role Labeling Guided Out-of-distribution Detection. CoRR Jinan Zou, Maihao Guo, Yu Tian, Yuhao Lin, Haiyao Cao, Lingqiao Liu, Ehsan Abbasnejad, Javen Qinfeng Shi
2023	J	`jnl`	Unveiling Backbone Effects in CLIP: Exploring Representational Synergies and Variances. CoRR Cristian Rodriguez Opazo, Edison Marrese-Taylor, Ehsan Abbasnejad, Hamed Damirchi, Ignacio M. De La Jara, Felipe Bravo-Marquez, Anton van den Hengel
2023	J	`jnl`	Zero-shot Retrieval: Augmenting Pre-trained Models with Search Engines. CoRR Hamed Damirchi, Cristian Rodriguez Opazo, Ehsan Abbasnejad, Damien Teney, Javen Qinfeng Shi, Stephen Gould, Anton van den Hengel
2022	A*	`conf`	Active Learning by Feature Mixing. CVPR Amin Parvaneh, Ehsan Abbasnejad, Damien Teney, Reza Haffari, Anton van den Hengel, Javen Qinfeng Shi
2022	J	`jnl`	Active Learning by Feature Mixing. CoRR Amin Parvaneh, Ehsan Abbasnejad, Damien Teney, Reza Haffari, Anton van den Hengel, Qinfeng (Javen) Shi
2022	J	`jnl`	Astock: A New Dataset and Automated Stock Trading based on Stock-specific News Analyzing Model. CoRR Jinan Zou, Haiyao Cao, Lingqiao Liu, Yuhao Lin, Ehsan Abbasnejad, Javen Qinfeng Shi
2022	A*	`conf`	Bayesian Learning with Information Gain Provably Bounds Risk for a Robust Adversarial Defense. ICML Bao Gia Doan, Ehsan Abbasnejad, Javen Qinfeng Shi, Damith C. Ranasinghe
2022	J	`jnl`	Bayesian Learning with Information Gain Provably Bounds Risk for a Robust Adversarial Defense. CoRR Bao Gia Doan, Ehsan Abbasnejad, Javen Qinfeng Shi, Damith C. Ranasinghe
2022	J	`jnl`	EBMs vs. CL: Exploring Self-Supervised Visual Pretraining for Visual Question Answering. CoRR Violetta Shevchenko, Ehsan Abbasnejad, Anthony R. Dick, Anton van den Hengel, Damien Teney
2022	A*	`conf`	Evading the Simplicity Bias: Training a Diverse Set of Models Discovers Solutions with Superior OOD Generalization. CVPR Damien Teney, Ehsan Abbasnejad, Simon Lucey, Anton van den Hengel
2022	A	`conf`	ForeSI: Success-Aware Visual Navigation Agent. WACV Mohammad Mahdi Kazemi Moghaddam, Ehsan Abbasnejad, Qi Wu, Qinfeng (Javen) Shi, Anton van den Hengel
2022	J	`jnl`	ID and OOD Performance Are Sometimes Inversely Correlated on Real-world Datasets. CoRR Damien Teney, Yong Lin, Seong Joon Oh, Ehsan Abbasnejad
2022	—	`conf`	Inductive Biases for Low Data VQA: A Data Augmentation Approach. WACV (Workshops) Narjes Askarian, Ehsan Abbasnejad, Ingrid Zukerman, Wray L. Buntine, Gholamreza Haffari
2022	J	`jnl`	LAVA: Label-efficient Visual Learning and Adaptation. CoRR Islam Nassar, Munawar Hayat, Ehsan Abbasnejad, Hamid Rezatofighi, Mehrtash Harandi, Gholamreza Haffari
2022	—	`conf`	Predicting Is Not Understanding: Recognizing and Addressing Underspecification in Machine Learning. ECCV (23) Damien Teney, Maxime Peyrard, Ehsan Abbasnejad
2022	J	`jnl`	Predicting is not Understanding: Recognizing and Addressing Underspecification in Machine Learning. CoRR Damien Teney, Maxime Peyrard, Ehsan Abbasnejad
2022	—	`conf`	Progressive Class Semantic Matching for Semi-supervised Text Classification. NAACL-HLT Hai-Ming Xu, Lingqiao Liu, Ehsan Abbasnejad
2022	J	`jnl`	Progressive Class Semantic Matching for Semi-supervised Text Classification. CoRR Hai-Ming Xu, Lingqiao Liu, Ehsan Abbasnejad
2022	A*	`conf`	Query Efficient Decision Based Sparse Attacks Against Black-Box Deep Learning Models. ICLR Viet Quoc Vo, Ehsan Abbasnejad, Damith Ranasinghe
2022	J	`jnl`	Query Efficient Decision Based Sparse Attacks Against Black-Box Deep Learning Models. CoRR Viet Quoc Vo, Ehsan Abbasnejad, Damith C. Ranasinghe
2022	A*	`conf`	RamBoAttack: A Robust and Query Efficient Deep Neural Network Decision Exploit. NDSS Viet Quoc Vo, Ehsan Abbasnejad, Damith C. Ranasinghe
2022	J	`jnl`	Show, Price and Negotiate: A Negotiator With Online Value Look-Ahead. IEEE Trans. Multim. Amin Parvaneh, Ehsan Abbasnejad, Qi Wu, Qinfeng (Javen) Shi, Anton van den Hengel
2022	J	`jnl`	TnT Attacks! Universal Naturalistic Adversarial Patches Against Deep Neural Network Systems. IEEE Trans. Inf. Forensics Secur. Bao Gia Doan, Minhui Xue, Shiqing Ma, Ehsan Abbasnejad, Damith C. Ranasinghe
2022	A*	`conf`	Truncated Matrix Power Iteration for Differentiable DAG Learning. NeurIPS Zhen Zhang, Ignavier Ng, Dong Gong, Yuhang Liu, Ehsan Abbasnejad, Mingming Gong, Kun Zhang, Javen Qinfeng Shi
2021	J	`jnl`	A data-driven reservoir simulation for natural gas reservoirs. Neural Comput. Appl. Shahdad Ghassemzadeh, Maria Gonzalez Perdomo, Manouchehr Haghighi, Ehsan Abbasnejad
2021	A*	`conf`	All Labels Are Not Created Equal: Enhancing Semi-Supervision via Label Grouping and Co-Training. CVPR Islam Nassar, Samitha Herath, Ehsan Abbasnejad, Wray L. Buntine, Gholamreza Haffari
2021	J	`jnl`	All Labels Are Not Created Equal: Enhancing Semi-supervision via Label Grouping and Co-training. CoRR Islam Nassar, Samitha Herath, Ehsan Abbasnejad, Wray L. Buntine, Gholamreza Haffari
2021	Misc	`conf`	Cross-Modal Visual Question Answering for Remote Sensing Data: The International Conference on Digital Image Computing: Techniques and Applications (DICTA 2021). DICTA Rafael Felix, Boris Repasky, Samuel Hodge, Reza Zolfaghari, Ehsan Abbasnejad, Jamie Sherrah
2021	Misc	`conf`	Curriculum Learning Effectively Improves Low Data VQA. ALTA Narjes Askarian, Ehsan Abbasnejad, Ingrid Zukerman, Wray L. Buntine, Gholamreza Haffari
2021	J	`jnl`	Evading the Simplicity Bias: Training a Diverse Set of Models Discovers Solutions with Superior OOD Generalization. CoRR Damien Teney, Ehsan Abbasnejad, Simon Lucey, Anton van den Hengel
2021	J	`jnl`	Learning for Visual Navigation by Imagining the Success. CoRR Mohammad Mahdi Kazemi Moghaddam, Ehsan Abbasnejad, Qi Wu, Javen Shi, Anton van den Hengel
2021	A	`conf`	Optimistic Agent: Accurate Graph-Based Value Estimation for More Successful Visual Navigation. WACV Mohammad Mahdi Kazemi Moghaddam, Qi Wu, Ehsan Abbasnejad, Javen Shi
2021	J	`jnl`	RamBoAttack: A Robust Query Efficient Deep Neural Network Decision Exploit. CoRR Viet Quoc Vo, Ehsan Abbasnejad, Damith C. Ranasinghe
2021	J	`jnl`	TnT Attacks! Universal Naturalistic Adversarial Patches Against Deep Neural Network Systems. CoRR Bao Gia Doan, Minhui Xue, Shiqing Ma, Ehsan Abbasnejad, Damith C. Ranasinghe
2021	A*	`conf`	Unshuffling Data for Improved Generalization in Visual Question Answering. ICCV Damien Teney, Ehsan Abbasnejad, Anton van den Hengel
2021	J	`jnl`	iDARTS: Differentiable Architecture Search with Stochastic Implicit Gradients. CoRR Miao Zhang, Steven W. Su, Shirui Pan, Xiaojun Chang, Ehsan Abbasnejad, Reza Haffari
2020	J	`jnl`	An Evolutionary Deep Learning Method for Short-term Wind Speed Prediction: A Case Study of the Lillgrund Offshore Wind Farm. CoRR Mehdi Neshat, Meysam Majidi Nezhad, Ehsan Abbasnejad, Lina Bertling Tjernberg, Davide Astiaso Garcia, Bradley Alexander, Markus Wagner
2020	A*	`conf`	Counterfactual Vision and Language Learning. CVPR Ehsan Abbasnejad, Damien Teney, Amin Parvaneh, Javen Shi, Anton van den Hengel
2020	A*	`conf`	Counterfactual Vision-and-Language Navigation: Unravelling the Unseen. NeurIPS Amin Parvaneh, Ehsan Abbasnejad, Damien Teney, Qinfeng Shi, Anton van den Hengel
2020	A	`conf`	Februus: Input Purification Defense Against Trojan Attacks on Deep Neural Network Systems. ACSAC Bao Gia Doan, Ehsan Abbasnejad, Damith C. Ranasinghe
2020	A*	`conf`	Gold Seeker: Information Gain From Policy Distributions for Goal-Oriented Vision-and-Langauge Reasoning. CVPR Ehsan Abbasnejad, Iman Abbasnejad, Qi Wu, Javen Shi, Anton van den Hengel
2020	J	`jnl`	Hybrid Neuro-Evolutionary Method for Predicting Wind Turbine Power Output. CoRR Mehdi Neshat, Meysam Majidi Nezhad, Ehsan Abbasnejad, Daniele Groppi, Azim Heydari, Lina Bertling Tjernberg, Davide Astiaso Garcia, Bradley Alexander, Markus Wagner
2020	—	`conf`	Learning What Makes a Difference from Counterfactual Examples and Gradient Supervision. ECCV (10) Damien Teney, Ehsan Abbasnejad, Anton van den Hengel
2020	J	`jnl`	Learning What Makes a Difference from Counterfactual Examples and Gradient Supervision. CoRR Damien Teney, Ehsan Abbasnejad, Anton van den Hengel
2020	A*	`conf`	On the Value of Out-of-Distribution Testing: An Example of Goodhart's Law. NeurIPS Damien Teney, Ehsan Abbasnejad, Kushal Kafle, Robik Shrestha, Christopher Kanan, Anton van den Hengel
2020	J	`jnl`	On the Value of Out-of-Distribution Testing: An Example of Goodhart's Law. CoRR Damien Teney, Kushal Kafle, Robik Shrestha, Ehsan Abbasnejad, Christopher Kanan, Anton van den Hengel
2020	J	`jnl`	Unshuffling Data for Improved Generalization. CoRR Damien Teney, Ehsan Abbasnejad, Anton van den Hengel
2020	J	`jnl`	Utilising Prior Knowledge for Visual Navigation: Distil and Adapt. CoRR Mohammad Mahdi Kazemi Moghaddam, Qi Wu, Ehsan Abbasnejad, Javen Shi
2019	—	`conf`	Adaptive Neuro-Surrogate-Based Optimisation Method for Wave Energy Converters Placement Optimisation. ICONIP (2) Mehdi Neshat, Ehsan Abbasnejad, Qinfeng Shi, Bradley Alexander, Markus Wagner
2019	J	`jnl`	Adaptive Neuro-Surrogate-Based Optimisation Method for Wave Energy Converters Placement Optimisation. CoRR Mehdi Neshat, Ehsan Abbasnejad, Qinfeng Shi, Bradley Alexander, Markus Wagner
2019	J	`jnl`	Deep Single Image Deraining Via Estimating Transmission and Atmospheric Light in rainy Scenes. CoRR Yinglong Wang, Qinfeng Shi, Ehsan Abbasnejad, Chao Ma, Xiaoping Ma, Bing Zeng
2019	J	`jnl`	DeepCleanse: Input Sanitization Framework Against Trojan Attacks on Deep Neural Network Systems. CoRR Bao Gia Doan, Ehsan Abbasnejad, Damith Chinthana Ranasinghe
2019	J	`jnl`	Follow the Attention: Combining Partial Pose and Object Motion for Fine-Grained Action Detection. CoRR Mohammad Mahdi Kazemi Moghaddam, Ehsan Abbasnejad, Javen Shi
2019	J	`jnl`	On Incorporating Semantic Prior Knowlegde in Deep Learning Through Embedding-Space Constraints. CoRR Damien Teney, Ehsan Abbasnejad, Anton van den Hengel
2019	—	`conf`	Reinforcement Learning with Attention that Works: A Self-Supervised Approach. ICONIP (5) Anthony Manchin, Ehsan Abbasnejad, Anton van den Hengel
2019	J	`jnl`	Reinforcement Learning with Attention that Works: A Self-Supervised Approach. CoRR Anthony Manchin, Ehsan Abbasnejad, Anton van den Hengel
2019	J	`jnl`	Show, Price and Negotiate: A Hierarchical Attention Recurrent Visual Negotiator. CoRR Amin Parvaneh, Ehsan Abbasnejad, Qi Wu, Javen Shi
2019	A*	`conf`	What's to Know? Uncertainty as a Guide to Asking Goal-Oriented Questions. CVPR Ehsan Abbasnejad, Qi Wu, Qinfeng Shi, Anton van den Hengel
2018	A	`conf`	3D Hand Pose Estimation using Simulation and Partial-Supervision with a Shared Latent Space. BMVC Masoud Abdi, Ehsan Abbasnejad, Chee Peng Lim, Saeid Nahavandi
2018	J	`jnl`	3D Hand Pose Estimation using Simulation and Partial-Supervision with a Shared Latent Space. CoRR Masoud Abdi, Ehsan Abbasnejad, Chee Peng Lim, Saeid Nahavandi
2018	J	`jnl`	An Active Information Seeking Model for Goal-oriented Vision-and-Language Tasks. CoRR Ehsan Abbasnejad, Qi Wu, Iman Abbasnejad, Javen Shi, Anton van den Hengel
2018	C	`conf`	Deep Auto-Set: A Deep Auto-Encoder-Set Network for Activity Recognition Using Wearables. MobiQuitous Alireza Abedin Varamin, Ehsan Abbasnejad, Qinfeng Shi, Damith Chinthana Ranasinghe, Seyed Hamid Rezatofighi
2018	J	`jnl`	Deep Auto-Set: A Deep Auto-Encoder-Set Network for Activity Recognition Using Wearables. CoRR Alireza Abedin Varamin, Ehsan Abbasnejad, Qinfeng Shi, Damith Chinthana Ranasinghe, Seyed Hamid Rezatofighi
2018	—	`conf`	Discriminative Clustering of High-Dimensional Data Using Generative Modeling. MWSCAS Masoud Abdi, Chee Peng Lim, Shady M. K. Mohamed, Saeid Nahavandi, Ehsan Abbasnejad, Anton van den Hengel
2018	J	`jnl`	What's to know? Uncertainty as a Guide to Asking Goal-oriented Questions. CoRR Ehsan Abbasnejad, Qi Wu, Javen Shi, Anton van den Hengel
2017	A*	`conf`	DeepSetNet: Predicting Sets with Deep Neural Networks. ICCV Seyed Hamid Rezatofighi, Vijay Kumar B. G, Anton Milan, Ehsan Abbasnejad, Anthony R. Dick, Ian D. Reid
2017	J	`jnl`	Distribution Based Workload Modelling of Continuous Queries in Clouds. IEEE Trans. Emerg. Top. Comput. Alireza Khoshkbarforoushha, Rajiv Ranjan, Raj Gaire, Ehsan Abbasnejad, Lizhe Wang, Albert Y. Zomaya
2017	A	`conf`	Label Filters for Large Scale Multilabel Classification. AISTATS Alexandru Niculescu-Mizil, Ehsan Abbasnejad
2016	J	`jnl`	DeepSetNet: Predicting Sets with Deep Neural Networks. CoRR Seyed Hamid Rezatofighi, Vijay Kumar B. G, Anton Milan, Ehsan Abbasnejad, Anthony R. Dick, Ian D. Reid
2016	J	`jnl`	Infinite Variational Autoencoder for Semi-Supervised Learning. CoRR Ehsan Abbasnejad, Anthony R. Dick, Anton van den Hengel
2015	A*	`conf`	Linear-Time Gibbs Sampling in Piecewise Graphical Models. AAAI Hadi Mohasel Afshar, Scott Sanner, Ehsan Abbasnejad
2015	A*	`conf`	Loss-Calibrated Monte Carlo Action Selection. AAAI Ehsan Abbasnejad, Justin Domke, Scott Sanner
2015	J	`jnl`	Resource Usage Estimation of Data Stream Processing Workloads in Datacenter Clouds. CoRR Alireza Khoshkbarforoushha, Rajiv Ranjan, Raj Gaire, Prem Prakash Jayaraman, John G. Hosking, Ehsan Abbasnejad
2013	A*	`conf`	Decision-Theoretic Approximations for Machine Learning. IJCAI Ehsan Abbasnejad
2013	A*	`conf`	Learning Community-Based Preferences via Dirichlet Process Mixtures of Gaussian Processes. IJCAI Ehsan Abbasnejad, Scott Sanner, Edwin V. Bonilla, Pascal Poupart
2012	A*	`conf`	New objective functions for social collaborative filtering. WWW Joseph Noel, Scott Sanner, Khoi-Nguyen Tran, Peter Christen, Lexing Xie, Edwin V. Bonilla, Ehsan Abbasnejad, Nicolás Della Penna
2012	A*	`conf`	Symbolic Variable Elimination for Discrete and Continuous Graphical Models. AAAI Scott Sanner, Ehsan Abbasnejad