vix.ing · top · new · best · stats · spec

Justin Gilmer

  1. Adversarial Patch
    2017/12/27 by Tom B. Brown, T. B. Brown, Brown, Tom B. +9 · 6 voices · 36 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Digital Media Forensic Detection
  2. Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
    2025/07/07 by Gheorghe Comanici, Eric Bieber, Comanici, Gheorghe +6844 · 8 voices · 1358 citations
    #cs.CL #cs.AI
  3. Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
    2024/03/08 by Gemini Robotics Team, Petko Georgiev, Gemini Team +2277 · 4 voices · 543 citations
    Computer Science · #Semantic Web and Ontologies
  4. Relational inductive biases, deep learning, and graph networks
    2018/06/04 by Peter W. Battaglia, Battaglia, Peter W., Jessica B. Hamrick +51 · 2 voices · 106 citations
    #cs.LG #cs.AI #stat.ML
  5. Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV)
    2017/11/30 by Been Kim, Martin Wattenberg, Justin Gilmer +4 · 3 voices · 70 citations
    #stat.ML
  6. Neural Message Passing for Quantum Chemistry
    2017/04/04 by Justin Gilmer, Gilmer, Justin, Samuel S. Schoenholz +7 · 461 citations
    Computer Science · Materials Science · Chemistry · #Computational Drug Discovery Methods #Machine Learning in Materials Science #Various Chemistry Research Topics
  7. The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization
    2020/06/29 by Dan Hendrycks, Hendrycks, Dan, Steven Basart +23 · 155 citations
    Computer Science · Biochemistry, Genetics and Molecular Biology · #Advanced Image Processing Techniques #Image and Signal Denoising Methods #Cell Image Analysis Techniques
  8. Sanity Checks for Saliency Maps
    2018/10/08 by Julius Adebayo, Adebayo, Julius, Justin Gilmer +9 · 124 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Cell Image Analysis Techniques #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Visual Attention and Saliency Detection
  9. Benchmarking Neural Network Training Algorithms
    2023/06/12 by George E. Dahl, Dahl, George E., Frank Schneider +47 · 2 voices · 8 citations
    Computer Science · Mathematics · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Stochastic Gradient Optimization Techniques #cs.LG #stat.ML
  10. Scaling Vision Transformers to 22 Billion Parameters
    2023/02/10 by Mostafa Dehghani, Josip Djolonga, Dehghani, Mostafa +81 · 66 citations
    Computer Science · #Multimodal Machine Learning Applications #Domain Adaptation and Few-Shot Learning #Advanced Neural Network Applications
  11. Deep Information Propagation
    2016/11/04 by Samuel S. Schoenholz, Schoenholz, Samuel S., Justin Gilmer +5 · 19 citations
    Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Neural Networks and Applications #Statistical Mechanics and Entropy
  12. A Fourier Perspective on Model Robustness in Computer Vision
    2019/06/21 by Dong Yin, Raphael Gontijo Lopes, Yin, Dong +7 · 19 citations
    Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  13. Small-scale proxies for large-scale Transformer training instabilities
    2023/09/25 by Mitchell Wortsman, Wortsman, Mitchell, Peter J. Liu +29 · 27 citations
    Computer Science · Decision Sciences · #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Forecasting Techniques and Applications #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG)
  14. MNIST-C: A Robustness Benchmark for Computer Vision
    2019/06/05 by Norman Mu, Mu, Norman, Justin Gilmer +1 · 9 citations
    Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  15. Motivating the Rules of the Game for Adversarial Example Research
    2018/07/18 by Justin Gilmer, Gilmer, Justin, Ryan P. Adams +8 · 1 voice · 4 citations
    Computer Science · Mathematics · #Advanced Malware Detection Techniques #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Security and Verification in Computing #cs.LG #stat.ML
  16. Improving Robustness Without Sacrificing Accuracy with Patch Gaussian\n Augmentation
    2019/06/06 by Raphael Gontijo Lopes, Dong Yin, Lopes, Raphael Gontijo +7 · 12 citations
    Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  17. Gemini: A Family of Highly Capable Multimodal Models
    2023/12/19 by Rohan Anil, Gemini Team, Anil, Rohan +2682 · 9 voices
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #cs.AI #cs.CL #cs.CV
  18. A constant lower bound for the union-closed sets conjecture
    2022/11/16 by Justin Gilmer, Gilmer, Justin · 5 citations
    Mathematics · Computer Science · #Limits and Structures in Graph Theory #Complexity and Algorithms in Graphs
  19. Do Current Multi-Task Optimization Methods in Deep Learning Even Help?
    2022/09/23 by Derrick Xin, Behrooz Ghorbani, Xin, Derrick +7 · 5 citations
    Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #Multimodal Machine Learning Applications
  20. Adaptive Gradient Methods at the Edge of Stability
    2022/07/29 by Jeremy M. Cohen, Behrooz Ghorbani, Cohen, Jeremy M. +19 · 4 citations
    Computer Science · Engineering · Physics and Astronomy · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
  21. A local central limit theorem for the number of triangles in a random graph
    2014/11/30 by Justin Gilmer, Swastik Kopparty, Gilmer, Justin +1 · 1 citation
    Mathematics · #Limits and Structures in Graph Theory #Stochastic processes and statistical mechanics #Graph theory and applications
  22. Order Matters in the Presence of Dataset Imbalance for Multilingual Learning
    2023/12/11 by Dami Choi, Derrick Xin, Choi, Dami +15 · 2 citations
    Computer Science · #Anomaly Detection Techniques and Applications #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Neural Networks and Applications
  23. AI system for fetal ultrasound in low-resource settings
    2022/03/18 by Ryan G. Gomes, Gomes, Ryan G., Bellington Vwalika +55 · 1 citation
    Medicine · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Healthcare and Education #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #electronic engineering #information engineering