Ehsan Abbasnejad

39 papers · 2013–2026 · 14 conferences · across top CS/AI conferences

Achievements

+12 more ↓

🌍 Conference Polyglot (13) 🏃 Academic Marathon (12) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🐝 Cross-Pollinator (7)

🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (7) 🏆 Grand Slam 👑 Triple Crown 🤝 Dynamic Duo (14) 🔥 Unstoppable (7) 💎 Century Club (37) 🚀 Conference Pioneer ⚡ Prolific Year (8) 🗃️ Keyword Collector (149) ❓ The Questioner (3)

Conferences

CVPR (9) NIPS (7) ICCV (4) ICLR (4) AAAI (3) WACV (3) EMNLP (2) ACL (1) AISTATS (1) COLING (1) ECCV (1) ICML (1) IJCAI (1) NAACL (1)

Top co-authors

Anton van den Hengel (14) Damien Teney (13) Javen Qinfeng Shi (8) Gholamreza Haffari (4) Amin Parvaneh (4) Lingqiao Liu (4) Qi Wu (4) Frederic Z. Zhang (3) Munawar Hayat (3) Hamid Rezatofighi (3)

Keywords

out-of-distribution generalization (5) domain generalization (4) active learning (3) text classification (3) reinforcement learning (3) semi-supervised learning (3) simplicity bia (3) representation learning (3) inductive bia (3) visual question answering (3) feature learning (2) adversarial learning (2) distribution shift (2) self-supervised learning (2) image classification (2) visual navigation (2) uncertainty quantification (2) few-shot learning (2) transfer learning (2) domain adaptation (2)

Papers

Certified but Fooled! Breaking Certified Defenses with Ghost Certificates AAAI 2026 Truth as a Trajectory: What Internal Representations Reveal About Large Language Model Reasoning ACL 2026 Do We Always Need the Simplicity Bias? Looking for Optimal Inductive Biases in the Wild CVPR 2025 Bayesian Low-Rank Learning (Bella): A Practical Approach to Bayesian Neural Networks AAAI 2025 Towards Higher Effective Rank in Parameter-Efficient Fine-tuning using Khatri-Rao Product ICCV 2025 RandLoRA: Full rank parameter-efficient fine-tuning of large models ICLR 2025 Synergy and Diversity in CLIP: Enhancing Performance Through Adaptive Backbone Ensembling ICLR 2025 Do Deep Neural Network Solutions Form a Star Domain? ICLR 2025 BRUSLEATTACK: A QUERY-EFFICIENT SCORE- BASED BLACK-BOX SPARSE ADVERSARIAL ATTACK ICLR 2024 Selective Mixup Helps with Distribution Shifts, But Not (Only) because of Mixup ICML 2024 Knowledge Composition using Task Vectors with Learned Anisotropic Scaling NIPS 2024 BLURD: Benchmarking and Learning using a Unified Rendering and Diffusion Model NIPS 2024 Neural Redshift: Random Networks are not Random Functions CVPR 2024 Semantic Role Labeling Guided Out-of-distribution Detection COLING 2024 Feature-Space Bayesian Adversarial Learning Improved Malware Detector Robustness AAAI 2023 ProtoCon: Pseudo-Label Refinement via Online Clustering and Prototypical Consistency for Efficient Semi-Supervised Learning CVPR 2023 RanPAC: Random Projections and Pre-trained Models for Continual Learning NIPS 2023 LAVA: Label-Efficient Visual Learning and Adaptation WACV 2023 Energy-based Self-Training and Normalization for Unsupervised Domain Adaptation ICCV 2023 ID and OOD Performance Are Sometimes Inversely Correlated on Real-world Datasets NIPS 2023 Predicting Is Not Understanding: Recognizing and Addressing Underspecification in Machine Learning ECCV 2022 UOA at the FinNLP-2022 ERAI Task: Leveraging the Class Label Description for Financial Opinion Mining EMNLP 2022 Astock: A New Dataset and Automated Stock Trading based on Stock-specific News Analyzing Model EMNLP 2022 Evading the Simplicity Bias: Training a Diverse Set of Models Discovers Solutions With Superior OOD Generalization CVPR 2022 Active Learning by Feature Mixing CVPR 2022 Truncated Matrix Power Iteration for Differentiable DAG Learning NIPS 2022 ForeSI: Success-Aware Visual Navigation Agent WACV 2022 Progressive Class Semantic Matching for Semi-supervised Text Classification NAACL 2022 Optimistic Agent: Accurate Graph-Based Value Estimation for More Successful Visual Navigation WACV 2021 All Labels Are Not Created Equal: Enhancing Semi-Supervision via Label Grouping and Co-Training CVPR 2021 Unshuffling Data for Improved Generalization in Visual Question Answering ICCV 2021 Counterfactual Vision-and-Language Navigation: Unravelling the Unseen NIPS 2020 On the Value of Out-of-Distribution Testing: An Example of Goodhart's Law NIPS 2020 Counterfactual Vision and Language Learning CVPR 2020 Gold Seeker: Information Gain From Policy Distributions for Goal-Oriented Vision-and-Langauge Reasoning CVPR 2020 What's to Know? Uncertainty as a Guide to Asking Goal-Oriented Questions CVPR 2019 DeepSetNet: Predicting Sets With Deep Neural Networks ICCV 2017 Label Filters for Large Scale Multilabel Classification AISTATS 2017 Learning Community-Based Preferences via Dirichlet Process Mixtures of Gaussian Processes IJCAI 2013