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

Matthias Bethge

  1. A Neural Algorithm of Artistic Style
    2015/08/26 by Leon A. Gatys, Alexander S. Ecker, Gatys, Leon A. +3 · 6 voices · 37 citations
    #cs.CV #cs.NE #q-bio.NC
  2. No "Zero-Shot" Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance
    2024/04/04 by Vishaal Udandarao, Ameya Prabhu, Udandarao, Vishaal +13 · 15 voices · 13 citations
    Computer Science · #Advanced Text Analysis Techniques
  3. Shortcut learning in deep neural networks
    2020/04/16 by Robert Geirhos, Jörn-Henrik Jacobsen, Claudio Michaelis +5 · 2 voices · 209 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Machine Learning and Data Classification #cs.AI #cs.CV #cs.LG #q-bio.NC
  4. Visual cognition in multimodal large language models
    2023/11/27 by Luca M. Schulze Buschoff, Buschoff, Luca M. Schulze, Elif Akata +5 · 2 voices · 19 citations
    Computer Science · Social Sciences · #Ethics and Social Impacts of AI #Reinforcement Learning in Robotics #cs.LG
  5. ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness
    2018/11/29 by Robert Geirhos, Geirhos, Robert, Patricia Rubisch +9 · 107 citations
    Neuroscience · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Biological sciences #FOS: Computer and information sciences #Face Recognition and Perception #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neurons and Cognition (q-bio.NC)
  6. Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models
    2017/12/12 by Wieland Brendel, Jonas Rauber, Brendel, Wieland +3 · 132 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Advanced Neural Network Applications
  7. Playing repeated games with large language models
    2023/05/26 by Elif Akata, Lion Schulz, Julian Coda-Forno +4 · 2 voices · 29 citations
    Computer Science · Social Sciences · #Evolutionary Game Theory and Cooperation #Language and cultural evolution #Topic Modeling #cs.CL
  8. Improving robustness against common corruptions by covariate shift adaptation
    2020/06/30 by Steffen Schneider, Evgenia Rusak, Schneider, Steffen +9 · 42 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #Adversarial Robustness in Machine Learning #Advanced Neural Network Applications
  9. Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming
    2019/07/17 by Claudio Michaelis, Michaelis, Claudio, Benjamin Mitzkus +13 · 28 citations
    Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
  10. Wu's Method can Boost Symbolic AI to Rival Silver Medalists and AlphaGeometry to Outperform Gold Medalists at IMO Geometry
    2024/04/09 by Shiven Sinha, Ameya Prabhu, Sinha, Shiven +7 · 2 voices · 2 citations
    #cs.AI #cs.CG #cs.CL #cs.LG
  11. Approximating CNNs with Bag-of-local-Features models works surprisingly well on ImageNet
    2019/03/20 by Wieland Brendel, Brendel, Wieland, Matthias Bethge +1 · 1 voice · 18 citations
    Computer Science · Engineering · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #Industrial Vision Systems and Defect Detection #cs.CV #cs.LG #stat.ML
  12. Contrastive Learning Inverts the Data Generating Process
    2021/02/17 by R. Zimmermann, Yash Sharma, Zimmermann, Roland S. +7 · 22 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #Generative Adversarial Networks and Image Synthesis #Music and Audio Processing
  13. Generalisation in humans and deep neural networks
    2018/08/27 by Robert Geirhos, Geirhos, Robert, Carlos R. Medina Temme +9 · 16 citations
    Engineering · Computer Science · #Infrared Target Detection Methodologies #CCD and CMOS Imaging Sensors #Visual Attention and Saliency Detection
  14. Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse\n Coding
    2020/07/21 by David Klindt, Klindt, David, Lukas Schott +11 · 14 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Digital Media Forensic Detection #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Image and Signal Denoising Methods #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  15. A Sober Look at Progress in Language Model Reasoning: Pitfalls and Paths to Reproducibility
    2025/04/09 by Andreas Hochlehnert, Hardik Bhatnagar, Hochlehnert, Andreas +9 · 5 voices · 38 citations
    Computer Science · #Natural Language Processing Techniques #cs.CL #cs.LG
  16. Partial success in closing the gap between human and machine vision
    2021/06/14 by Robert Geirhos, Kantharaju Narayanappa, Geirhos, Robert +11 · 14 citations
    Computer Science · Neuroscience · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Biological sciences #FOS: Computer and information sciences #Face Recognition and Perception #Machine Learning (cs.LG) #Neurons and Cognition (q-bio.NC)
  17. Deep Gaze I: Boosting Saliency Prediction with Feature Maps Trained on\n ImageNet
    2014/11/04 by Matthias Kümmerer, Kümmerer, Matthias, Lucas Theis +3 · 10 citations
    Computer Science · Neuroscience · #Aesthetic Perception and Analysis #Applications (stat.AP) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Biological sciences #FOS: Computer and information sciences #Face Recognition and Perception #Neurons and Cognition (q-bio.NC) #Visual Attention and Saliency Detection
  18. Centaur: a foundation model of human cognition
    2024/10/26 by Marcel Binz, Binz, Marcel, Elif Akata +84 · 3 voices · 16 citations
    Neuroscience · #Cognitive Science and Education Research
  19. DeepGaze II: Reading fixations from deep features trained on object recognition
    2016/10/05 by Matthias Kümmerer, Thomas S. A. Wallis, Kümmerer, Matthias +3 · 9 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Applications (stat.AP) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Biological sciences #FOS: Computer and information sciences #Human Pose and Action Recognition #Multimodal Machine Learning Applications #Neurons and Cognition (q-bio.NC)
  20. Texture Synthesis Using Convolutional Neural Networks
    2015/05/27 by Leon A. Gatys, Gatys, Leon A., Alexander S. Ecker +3 · 13 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Biological sciences #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Neural and Evolutionary Computing (cs.NE) #Neurons and Cognition (q-bio.NC)
  21. DeepGaze IIE: Calibrated prediction in and out-of-domain for\n state-of-the-art saliency modeling
    2021/05/26 by Akis Linardos, Linardos, Akis, Matthias Kümmerer +5 · 7 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Visual Attention and Saliency Detection
  22. CiteME: Can Language Models Accurately Cite Scientific Claims?
    2024/07/10 by Ori Press, Press, Ori, Andreas Hochlehnert +9 · 12 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Natural Language Processing Techniques #Topic Modeling
  23. RDumb: A simple approach that questions our progress in continual test-time adaptation
    2023/06/08 by Ori Press, Press, Ori, Steffen Schneider +5 · 8 citations
    Computer Science · Engineering · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Image Enhancement Techniques #Machine Learning (cs.LG) #Underwater Vehicles and Communication Systems
  24. Great Models Think Alike and this Undermines AI Oversight
    2025/02/06 by Shashwat Goel, Goel, Shashwat, Janet Struber +16 · 3 voices · 10 citations
    Computer Science · Medicine · Social Sciences · #Artificial Intelligence in Healthcare and Education #Ethics and Social Impacts of AI #Explainable Artificial Intelligence (XAI) #cs.AI #cs.CL #cs.LG
  25. Does CLIP's Generalization Performance Mainly Stem from High Train-Test Similarity?
    2023/10/14 by P. Mayilvahanan, Mayilvahanan, Prasanna, Thaddäus Wiedemer +7 · 1 voice · 7 citations
    Computer Science · Medicine · #Artificial Intelligence (cs.AI) #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Healthcare
  26. Generative Image Modeling Using Spatial LSTMs
    2015/06/10 by Lucas Theis, Matthias Bethge, Theis, Lucas +1 · 6 citations
    Computer Science · Engineering · #3D Shape Modeling and Analysis #Computer Graphics and Visualization Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  27. Controlling Perceptual Factors in Neural Style Transfer
    2016/11/23 by Leon A. Gatys, Gatys, Leon A., Alexander S. Ecker +7 · 3 citations
    Computer Science · #Advanced Image Processing Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Image Enhancement Techniques
  28. How to Merge Your Multimodal Models Over Time?
    2024/12/09 by Sebastian Dziadzio, Vishaal Udandarao, Dziadzio, Sebastian +11 · 2 voices · 7 citations
    Computer Science · #Speech and dialogue systems #cs.CL #cs.CV #cs.LG
  29. The Entropy Enigma: Success and Failure of Entropy Minimization
    2024/05/08 by Ori Press, Press, Ori, Ravid Shwartz-Ziv +5 · 6 citations
    Computer Science · Economics, Econometrics and Finance · Physics and Astronomy · #Complex Systems and Time Series Analysis #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Neural Networks and Applications #Statistical Mechanics and Entropy
  30. How Well do Feature Visualizations Support Causal Understanding of CNN Activations?
    2021/06/23 by R. Zimmermann, Zimmermann, Roland S., Judy Borowski +9 · 3 citations
    Computer Science · Biochemistry, Genetics and Molecular Biology · #Explainable Artificial Intelligence (XAI) #Adversarial Robustness in Machine Learning #Cell Image Analysis Techniques
  31. One-Shot Instance Segmentation
    2018/11/28 by Claudio Michaelis, Michaelis, Claudio, Ivan Ustyuzhaninov +5 · 3 citations
    Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Multimodal Machine Learning Applications
  32. WikiBigEdit: Understanding the Limits of Lifelong Knowledge Editing in LLMs
    2025/03/07 by Lukas Thede, Karsten Roth, Thede, Lukas +7 · 3 voices · 5 citations
    #cs.CL #cs.LG
  33. Foolbox: A Python toolbox to benchmark the robustness of machine learning models
    2017/07/13 by Jonas Rauber, Rauber, Jonas, Wieland Brendel +3 · 2 citations
    Computer Science · #Computational Physics and Python Applications #Machine Learning and Data Classification
  34. In Search of Forgotten Domain Generalization
    2024/10/10 by P. Mayilvahanan, R. Zimmermann, Mayilvahanan, Prasanna +11 · 6 citations
    Engineering · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Reservoir Engineering and Simulation Methods
  35. PostTrainBench: Can LLM Agents Automate LLM Post-Training?
    2026/03/09 by Ben Rank, Hardik Bhatnagar, Ameya Prabhu +4 · 6 voices · 1 citation
    Computer Science · #cs.SE #cs.AI #cs.LG
  36. Towards causal generative scene models via competition of experts
    2020/04/27 by Julius von Kügelgen, von Kügelgen, Julius, Ivan Ustyuzhaninov +7 · 6 citations
    Computer Science · #Generative Adversarial Networks and Image Synthesis #Computer Graphics and Visualization Techniques #Image Processing and 3D Reconstruction
  37. A Practitioner's Guide to Continual Multimodal Pretraining
    2024/08/26 by Karsten Roth, Vishaal Udandarao, Roth, Karsten +17 · 5 citations
    Psychology · #Hearing Impairment and Communication
  38. ONEBench to Test Them All: Sample-Level Benchmarking Over Open-Ended Capabilities
    2024/12/09 by Adhiraj Ghosh, Ghosh, Adhiraj, Sebastian Dziadzio +9 · 1 voice · 4 citations
    #cs.LG #cs.CL #cs.CV
  39. AlgoTune: Can Language Models Speed Up General-Purpose Numerical Programs?
    2025/07/19 by Ori Press, Brandon Amos, Press, Ori +43 · 8 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Model-Driven Software Engineering Techniques #Parallel Computing and Optimization Techniques #Software Engineering (cs.SE)
  40. Learning From Brains How to Regularize Machines
    2019/11/11 by Zhe Li, Wieland Brendel, Li, Zhe +17 · 1 voice · 1 citation
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neurons and Cognition (q-bio.NC) #cs.AI #cs.CV #cs.LG #q-bio.NC
  41. LLMs on the Line: Data Determines Loss-to-Loss Scaling Laws
    2025/02/17 by P. Mayilvahanan, Mayilvahanan, Prasanna, Thaddäus Wiedemer +6 · 7 citations
    Business, Management and Accounting · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #FinTech, Crowdfunding, Digital Finance #Machine Learning (cs.LG)
  42. EagerPy: Writing Code That Works Natively with PyTorch, TensorFlow, JAX,\n and NumPy
    2020/08/10 by Jonas Rauber, Rauber, Jonas, Matthias Bethge +3 · 2 citations
    Computer Science · #Computational Physics and Python Applications #Software Engineering Research
  43. Trace your sources in large-scale data: one ring to find them all
    2018/03/23 by Alexander Böttcher, Wieland Brendel, Böttcher, Alexander +5 · 1 citation
    Chemistry · Computer Science · #Blind Source Separation Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME) #Spectroscopy and Chemometric Analyses #Speech and Audio Processing
  44. On the surprising similarities between supervised and self-supervised models
    2020/10/16 by Robert Geirhos, Geirhos, Robert, Kantharaju Narayanappa +9 · 3 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #Machine Learning and Data Classification #Topic Modeling
  45. Accurate, reliable and fast robustness evaluation
    2019/07/01 by Wieland Brendel, Jonas Rauber, Brendel, Wieland +7 · 1 citation
    Biochemistry, Genetics and Molecular Biology · Computer Science · Engineering · #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Integrated Circuits and Semiconductor Failure Analysis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE) #Spectroscopy Techniques in Biomedical and Chemical Research
  46. Unsupervised Object Learning via Common Fate
    2021/10/13 by Matthias Tangemann, Tangemann, Matthias, Steffen Schneider +15 · 1 citation
    Computer Science · #Generative Adversarial Networks and Image Synthesis #Advanced Vision and Imaging #Advanced Image and Video Retrieval Techniques
  47. Project Alexandria: Towards Freeing Scientific Knowledge from Copyright Burdens via LLMs
    2025/02/26 by Christoph Schuhmann, Gollam Rabby, Schuhmann, Christoph +23 · 4 voices · 1 citation
    Business, Management and Accounting · Computer Science · Social Sciences · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Intellectual Property and Patents #Library Science and Information Systems #Machine Learning (cs.LG) #Wikis in Education and Collaboration #cs.AI #cs.CL #cs.LG
  48. Reflecting on the State of Rehearsal-free Continual Learning with Pretrained Models
    2024/06/13 by Lukas Thede, Thede, Lukas, Karsten Roth +7 · 1 citation
    Computer Science · #Neural Networks and Applications
  49. A Good CREPE needs more than just Sugar: Investigating Biases in Compositional Vision-Language Benchmarks
    2025/06/09 by Vishaal Udandarao, Mehdi Cherti, Udandarao, Vishaal +9 · 2 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
  50. Strategic Dishonesty Can Undermine AI Safety Evaluations of Frontier LLMs
    2025/09/22 by Panfilov, Alexander, Evgenii Kortukov, Kristina Nikolić +14 · 1 citation
    Social Sciences · Computer Science · #Ethics and Social Impacts of AI #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI)