Abbasnejad, Ehsan

39 publications

AAAI 2025 Bayesian Low-Rank Learning (Bella): A Practical Approach to Bayesian Neural Networks Bao Gia Doan, Afshar Shamsi, Xiao-Yu Guo, Arash Mohammadi, Hamid Alinejad-Rokny, Dino Sejdinovic, Damien Teney, Damith C. Ranasinghe, Ehsan Abbasnejad

ICLR 2025 Do Deep Neural Network Solutions Form a Star Domain? Ankit Sonthalia, Alexander Rubinstein, Ehsan Abbasnejad, Seong Joon Oh

CVPR 2025 Do We Always Need the Simplicity Bias? Looking for Optimal Inductive Biases in the Wild Damien Teney, Liangze Jiang, Florin Gogianu, Ehsan Abbasnejad

NeurIPS 2025 Geometry-Aware Collaborative Multi-Solutions Optimizer for Model Fine-Tuning with Parameter Efficiency Van-Anh Nguyen, Trung Le, Mehrtash Harandi, Ehsan Abbasnejad, Thanh-Toan Do, Dinh Phung

NeurIPS 2025 Mysteries of the Deep: Role of Intermediate Representations in Out of Distribution Detection Imezadelajara, Cristian Rodriguez-Opazo, Damien Teney, Damith Ranasinghe, Ehsan Abbasnejad

ICLR 2025 RandLoRA: Full Rank Parameter-Efficient Fine-Tuning of Large Models Paul Albert, Frederic Z. Zhang, Hemanth Saratchandran, Cristian Rodriguez-Opazo, Anton van den Hengel, Ehsan Abbasnejad

ICLR 2025 Synergy and Diversity in CLIP: Enhancing Performance Through Adaptive Backbone Ensembling Cristian Rodriguez-Opazo, Ehsan Abbasnejad, Damien Teney, Hamed Damirchi, Edison Marrese-Taylor, Anton van den Hengel

ICCV 2025 Towards Higher Effective Rank in Parameter-Efficient Fine-Tuning Using Khatri-Rao Product Paul Albert, Frederic Z. Zhang, Hemanth Saratchandran, Anton van den Hengel, Ehsan Abbasnejad

NeurIPS 2024 BLURD: Benchmarking and Learning Using a Unified Rendering and Diffusion Model Boris Repasky, Anthony Dick, Ehsan Abbasnejad

ICLR 2024 Brusleattack: A Query-Efficient Score- Based Black-Box Sparse Adversarial Attack Quoc Viet Vo, Ehsan Abbasnejad, Damith Ranasinghe

TMLR 2024 InvariantStock: Learning Invariant Features for Mastering the Shifting Market Haiyao Cao, Jinan Zou, Yuhang Liu, Zhen Zhang, Ehsan Abbasnejad, Anton van den Hengel, Javen Qinfeng Shi

NeurIPS 2024 Knowledge Composition Using Task Vectors with Learned Anisotropic Scaling Frederic Z. Zhang, Paul Albert, Cristian Rodriguez-Opazo, Anton van den Hengel, Ehsan Abbasnejad

CVPR 2024 Neural Redshift: Random Networks Are Not Random Functions Damien Teney, Armand Mihai Nicolicioiu, Valentin Hartmann, Ehsan Abbasnejad

ICML 2024 Selective Mixup Helps with Distribution Shifts, but Not (Only) Because of Mixup Damien Teney, Jindong Wang, Ehsan Abbasnejad

ICCV 2023 Energy-Based Self-Training and Normalization for Unsupervised Domain Adaptation Samitha Herath, Basura Fernando, Ehsan Abbasnejad, Munawar Hayat, Shahram Khadivi, Mehrtash Harandi, Hamid Rezatofighi, Gholamreza Haffari

AAAI 2023 Feature-Space Bayesian Adversarial Learning Improved Malware Detector Robustness Bao Gia Doan, Shuiqiao Yang, Paul Montague, Olivier Y. de Vel, Tamas Abraham, Seyit Camtepe, Salil S. Kanhere, Ehsan Abbasnejad, Damith C. Ranasinghe

NeurIPS 2023 ID and OOD Performance Are Sometimes Inversely Correlated on Real-World Datasets Damien Teney, Yong Lin, Seong Joon Oh, Ehsan Abbasnejad

WACV 2023 LAVA: Label-Efficient Visual Learning and Adaptation Islam Nassar, Munawar Hayat, Ehsan Abbasnejad, Hamid Rezatofighi, Mehrtash Harandi, Gholamreza Haffari

ICCVW 2023 Progressive Feature Adjustment for Semi-Supervised Learning from Pretrained Models Hai-Ming Xu, Lingqiao Liu, Hao Chen, Ehsan Abbasnejad, Rafael Felix

CVPR 2023 ProtoCon: Pseudo-Label Refinement via Online Clustering and Prototypical Consistency for Efficient Semi-Supervised Learning Islam Nassar, Munawar Hayat, Ehsan Abbasnejad, Hamid Rezatofighi, Gholamreza Haffari

NeurIPS 2023 RanPAC: Random Projections and Pre-Trained Models for Continual Learning Mark D. McDonnell, Dong Gong, Amin Parvaneh, Ehsan Abbasnejad, Anton van den Hengel

CVPRW 2023 SCONE-GAN: Semantic Contrastive Learning-Based Generative Adversarial Network for an End-to-End Image Translation Iman Abbasnejad, Fabio Zambetta, Flora D. Salim, Timothy Wiley, Jeffrey Chan, Russell Gallagher, Ehsan Abbasnejad

CVPR 2022 Active Learning by Feature Mixing Amin Parvaneh, Ehsan Abbasnejad, Damien Teney, Gholamreza Haffari, Anton van den Hengel, Javen Qinfeng Shi

CVPR 2022 Evading the Simplicity Bias: Training a Diverse Set of Models Discovers Solutions with Superior OOD Generalization Damien Teney, Ehsan Abbasnejad, Simon Lucey, Anton van den Hengel

WACV 2022 ForeSI: Success-Aware Visual Navigation Agent Mahdi Kazemi Moghaddam, Ehsan Abbasnejad, Qi Wu, Javen Qinfeng Shi, Anton Van Den Hengel

ECCV 2022 Predicting Is Not Understanding: Recognizing and Addressing Underspecification in Machine Learning Damien Teney, Maxime Peyrard, Ehsan Abbasnejad

NeurIPS 2022 Truncated Matrix Power Iteration for Differentiable DAG Learning Zhen Zhang, Ignavier Ng, Dong Gong, Yuhang Liu, Ehsan Abbasnejad, Mingming Gong, Kun Zhang, Javen Qinfeng Shi

CVPR 2021 All Labels Are Not Created Equal: Enhancing Semi-Supervision via Label Grouping and Co-Training Islam Nassar, Samitha Herath, Ehsan Abbasnejad, Wray Buntine, Gholamreza Haffari

WACV 2021 Optimistic Agent: Accurate Graph-Based Value Estimation for More Successful Visual Navigation Mahdi Kazemi Moghaddam, Qi Wu, Ehsan Abbasnejad, Javen Shi

ICCV 2021 Unshuffling Data for Improved Generalization in Visual Question Answering Damien Teney, Ehsan Abbasnejad, Anton van den Hengel

NeurIPS 2020 Counterfactual Vision-and-Language Navigation: Unravelling the Unseen Amin Parvaneh, Ehsan Abbasnejad, Damien Teney, Javen Qinfeng Shi, Anton van den Hengel

NeurIPS 2020 On the Value of Out-of-Distribution Testing: An Example of Goodhart's Law Damien Teney, Ehsan Abbasnejad, Kushal Kafle, Robik Shrestha, Christopher Kanan, Anton van den Hengel

ICCV 2017 DeepSetNet: Predicting Sets with Deep Neural Networks S. Hamid Rezatofighi, B G Vijay Kumar, Anton Milan, Ehsan Abbasnejad, Anthony Dick, Ian Reid

AISTATS 2017 Label Filters for Large Scale Multilabel Classification Alexandru Niculescu-Mizil, Ehsan Abbasnejad

AAAI 2015 Linear-Time Gibbs Sampling in Piecewise Graphical Models Hadi Mohasel Afshar, Scott Sanner, Ehsan Abbasnejad

AAAI 2015 Loss-Calibrated Monte Carlo Action Selection Ehsan Abbasnejad, Justin Domke, Scott Sanner

IJCAI 2013 Decision-Theoretic Approximations for Machine Learning Ehsan Abbasnejad

IJCAI 2013 Learning Community-Based Preferences via Dirichlet Process Mixtures of Gaussian Processes Ehsan Abbasnejad, Scott Sanner, Edwin V. Bonilla, Pascal Poupart

AAAI 2012 Symbolic Variable Elimination for Discrete and Continuous Graphical Models Scott Sanner, Ehsan Abbasnejad