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Abbasnejad, Ehsan

  1. Evading the Simplicity Bias: Training a Diverse Set of Models Discovers Solutions with Superior OOD Generalization
    2021/05/12 by Damien Teney, Ehsan Abbasnejad, Teney, Damien +5 · 11 citations
    Computer Science · #AI in cancer detection #Computer Vision and Pattern Recognition (cs.CV) #Digital Imaging for Blood Diseases #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG)
  2. ID and OOD Performance Are Sometimes Inversely Correlated on Real-world Datasets
    2022/09/01 by Damien Teney, Teney, Damien, Lin, Yong +4 · 8 citations
    Computer Science · #Machine Learning and Data Classification #Explainable Artificial Intelligence (XAI) #Data Stream Mining Techniques
  3. Knowledge Composition using Task Vectors with Learned Anisotropic Scaling
    2024/07/03 by Frederic Z. Zhang, Zhang, Frederic Z., Paul S. Albert +7 · 13 citations
    Computer Science · #AI-based Problem Solving and Planning #Neural Networks and Applications #Fuzzy Logic and Control Systems
  4. Active Learning by Feature Mixing
    2022/03/14 by Amin Parvaneh, Ehsan Abbasnejad, Parvaneh, Amin +9 · 6 citations
    Computer Science · Engineering · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning and Algorithms #Machine Learning and Data Classification #Oil and Gas Production Techniques
  5. RandLoRA: Full-rank parameter-efficient fine-tuning of large models
    2025/02/03 by Paul S. Albert, Frederic Z. Zhang, Albert, Paul +9 · 13 citations
    Computer Science · Engineering · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Fault Detection and Control Systems #Image and Signal Denoising Methods #Sparse and Compressive Sensing Techniques
  6. DeepSetNet: Predicting Sets with Deep Neural Networks
    2016/11/28 by Rezatofighi, S. Hamid, G, Vijay Kumar B, Milan, Anton +3 · 2 citations
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  7. Stock Market Prediction via Deep Learning Techniques: A Survey
    2022/12/24 by Jinan Zou, Qingying Zhao, Zou, Jinan +15 · 3 citations
    Computer Science · Decision Sciences · #Data Stream Mining Techniques #FOS: Economics and business #General Finance (q-fin.GN) #Stock Market Forecasting Methods #Time Series Analysis and Forecasting
  8. Infinite Variational Autoencoder for Semi-Supervised Learning
    2016/11/23 by Ehsan Abbasnejad, Anthony Dick, Abbasnejad, Ehsan +3 · 2 citations
    Computer Science · #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  9. Unshuffling Data for Improved Generalization
    2020/02/27 by Damien Teney, Teney, Damien, Ehsan Abbasnejad +3 · 2 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Multimodal Machine Learning Applications
  10. On the Value of Out-of-Distribution Testing: An Example of Goodhart's Law
    2020/05/19 by Teney, Damien, Kafle, Kushal, Shrestha, Robik +3 · 2 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  11. ProtoCon: Pseudo-label Refinement via Online Clustering and Prototypical Consistency for Efficient Semi-supervised Learning
    2023/03/22 by Islam A. Nassar, Nassar, Islam, Munawar Hayat +7 · 3 citations
    Computer Science · Medicine · #Domain Adaptation and Few-Shot Learning #Multimodal Machine Learning Applications #COVID-19 diagnosis using AI
  12. iDARTS: Differentiable Architecture Search with Stochastic Implicit Gradients
    2021/06/21 by Miao Zhang, Steven W. Su, Zhang, Miao +9 · 2 citations
    Computer Science · #Advanced Neural Network Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and ELM #Neural Networks and Applications
  13. BruSLeAttack: A Query-Efficient Score-Based Black-Box Sparse Adversarial Attack
    2024/04/08 by Vo, Viet Quoc, Abbasnejad, Ehsan, Ranasinghe, Damith C. · 3 citations
    #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  14. Predicting is not Understanding: Recognizing and Addressing Underspecification in Machine Learning
    2022/07/06 by Damien Teney, Maxime Peyrard, Teney, Damien +3 · 2 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
  15. Reinforcement Learning with Attention that Works: A Self-Supervised Approach
    2019/04/06 by Anthony Manchin, Ehsan Abbasnejad, Manchin, Anthony +3 · 1 voice
    #cs.LG #stat.ML
  16. Do We Always Need the Simplicity Bias? Looking for Optimal Inductive Biases in the Wild
    2025/03/13 by Damien Teney, Teney, Damien, Liangze Jiang +5 · 1 voice · 4 citations
    Decision Sciences · Economics, Econometrics and Finance · #Economic Policies and Impacts #Economic Theory and Institutions #Leadership, Behavior, and Decision-Making Studies #cs.CV #cs.LG
  17. Do Deep Neural Network Solutions Form a Star Domain?
    2024/03/12 by Ankit Sonthalia, Sonthalia, Ankit, Alexander Rubinstein +5 · 2 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Stochastic Gradient Optimization Techniques
  18. TnT Attacks! Universal Naturalistic Adversarial Patches Against Deep Neural Network Systems
    2021/11/19 by Bao Gia Doan, Doan, Bao Gia, Minhui Xue +7 · 1 citation
    Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis
  19. Hybrid Neuro-Evolutionary Method for Predicting Wind Turbine Power\n Output
    2020/04/02 by Mehdi Neshat, Neshat, Mehdi, Meysam Majidi Nezhad +15 · 1 citation
    Engineering · #Energy Load and Power Forecasting #Wind Energy Research and Development #Wind Turbine Control Systems
  20. On the Credibility of Backdoor Attacks Against Object Detectors in the Physical World
    2024/08/22 by Bao Gia Doan, Doan, Bao Gia, Callum Lindquist +16 · 2 citations
    Computer Science · #Adversarial Robustness in Machine Learning
  21. Selective Mixup Helps with Distribution Shifts, But Not (Only) because of Mixup
    2023/05/26 by Teney, Damien, Wang, Jindong, Abbasnejad, Ehsan · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  22. Bayesian Low-Rank LeArning (Bella): A Practical Approach to Bayesian Neural Networks
    2024/07/30 by Bao Gia Doan, Afshar Shamsi, Doan, Bao Gia +14 · 2 citations
    Computer Science · Engineering · #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Fault Detection and Control Systems #Machine Learning (cs.LG) #Neural Networks and Applications
  23. Bayesian Learned Models Can Detect Adversarial Malware For Free
    2024/03/27 by Bao Gia Doan, Doan, Bao Gia, Nguyen, Dang Quang +14 · 1 citation
    Computer Science · #Advanced Malware Detection Techniques #Anomaly Detection Techniques and Applications #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Network Security and Intrusion Detection
  24. Premonition: Using Generative Models to Preempt Future Data Changes in Continual Learning
    2024/03/12 by Mark D. McDonnell, McDonnell, Mark D., Dong Gong +5 · 1 citation
    Social Sciences · #Education and Critical Thinking Development
  25. Towards Higher Effective Rank in Parameter-efficient Fine-tuning using Khatri--Rao Product
    2025/08/01 by Albert, Paul, Zhang, Frederic Z., Saratchandran, Hemanth +2 · 4 citations
    #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)