Stanislav Fort
- Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
2025/07/07 by Gheorghe Comanici, Comanici, Gheorghe, Eric Bieber +6844 · 8 voices · 1392 citations
#cs.CL #cs.AI
- Affective Coherence Monitoring for Transformer-Based Language Models
2022/12/15 by Yuntao Bai, Bai, Yuntao, Saurav Kadavath +102 · 12 voices · 481 citations
Computer Science · #Explainable Artificial Intelligence (XAI) #cs.AI #cs.CL
- Language Models (Mostly) Know What They Know
2022/07/11 by Saurav Kadavath, Kadavath, Saurav, Tom Conerly +72 · 6 voices · 280 citations
Computer Science · #Topic Modeling #Natural Language Processing Techniques #Text Readability and Simplification
- Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback
2022/04/12 by Yuntao Bai, Andy Jones, Bai, Yuntao +59 · 541 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
- Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned
2022/08/23 by Deep Ganguli, Liane Lovitt, Ganguli, Deep +69 · 87 citations
Computer Science · Social Sciences · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computers and Society (cs.CY) #FOS: Computer and information sciences #Hate Speech and Cyberbullying Detection #Terrorism, Counterterrorism, and Political Violence
- Training independent subnetworks for robust prediction
2020/10/13 by Marton Havasi, Havasi, Marton, Rodolphe Jenatton +13 · 2 voices · 11 citations
Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Domain Adaptation and Few-Shot Learning #cs.CV #cs.LG #stat.ML
- Deep Ensembles: A Loss Landscape Perspective
2019/12/05 by Stanislav Fort, Huiyi Hu, Fort, Stanislav +3 · 42 citations
Computer Science · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Stochastic Gradient Optimization Techniques
- Exploring the Limits of Out-of-Distribution Detection
2021/06/06 by Stanislav Fort, Jie Ren, Fort, Stanislav +3 · 26 citations
Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms
- A Simple Fix to Mahalanobis Distance for Improving Near-OOD Detection
2021/06/16 by Jie Ren, Ren, Jie, Stanislav Fort +9 · 24 citations
Computer Science · #Adversarial Robustness in Machine Learning #Domain Adaptation and Few-Shot Learning #Advanced Neural Network Applications
- Measuring Progress on Scalable Oversight for Large Language Models
2022/11/04 by Samuel R. Bowman, Jeeyoon Hyun, Bowman, Samuel R. +88 · 23 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Multi-Agent Systems and Negotiation #Speech and dialogue systems #Topic Modeling
- Stiffness: A New Perspective on Generalization in Neural Networks
2019/01/28 by Stanislav Fort, Paweł Krzysztof Nowak, Fort, Stanislav +3 · 13 citations
Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #Model Reduction and Neural Networks #Neural Networks and Applications #Neural and Evolutionary Computing (cs.NE)
- Deep learning versus kernel learning: an empirical study of loss landscape geometry and the time evolution of the Neural Tangent Kernel
2020/10/28 by Stanislav Fort, Gintare Karolina Dziugaite, Fort, Stanislav +9 · 11 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 #Stochastic Gradient Optimization Techniques
- Direct Ascent Synthesis: Revealing Hidden Generative Capabilities in Discriminative Models
2025/02/11 by Stanislav Fort, Jonathan Whitaker, Fort, Stanislav +1 · 2 voices · 4 citations
Computer Science · #Natural Language Processing Techniques #Semantic Web and Ontologies #Topic Modeling
- Large Scale Structure of Neural Network Loss Landscapes
2019/06/11 by Stanislav Fort, Fort, Stanislav, Stanisław Jastrzȩbski +1 · 4 citations
Computer Science · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications #Stochastic Gradient Optimization Techniques
- The Goldilocks zone: Towards better understanding of neural network loss\n landscapes
2018/07/06 by Stanislav Fort, Adam Scherlis, Fort, Stanislav +1 · 2 citations
Computer Science · Engineering · #Advanced Neural Network Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Medical Imaging and Analysis #Neural and Evolutionary Computing (cs.NE) #Stochastic Gradient Optimization Techniques
- Ensemble everything everywhere: Multi-scale aggregation for adversarial robustness
2024/08/08 by Stanislav Fort, Fort, Stanislav, Balaji Lakshminarayanan +1 · 1 voice · 3 citations
Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #cs.CV #cs.LG
- Drawing Multiple Augmentation Samples Per Image During Training\n Efficiently Decreases Test Error
2021/05/27 by Stanislav Fort, Fort, Stanislav, Andrew Brock +7 · 2 citations
Computer Science · Engineering · #Domain Adaptation and Few-Shot Learning #Advanced Neural Network Applications #Medical Imaging and Analysis
- Analyzing Monotonic Linear Interpolation in Neural Network Loss Landscapes
2021/04/22 by James Lucas, Lucas, James, Juhan Bae +9 · 1 citation
Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Stochastic Gradient Optimization Techniques
- What does a deep neural network confidently perceive? The effective dimension of high certainty class manifolds and their low confidence boundaries
2022/10/11 by Stanislav Fort, Fort, Stanislav, Ekin D. Cubuk +5 · 1 citation
Computer Science · Engineering · #AI in cancer detection #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Medical Imaging and Analysis
- HoF-Bench: Rediscovering Real AI-Discovered CVEs Without Frontier Models
2026/07/29 by Petr Simecek, Elnaz Babayeva, Jiri Balhar +23
Computer Science · #cs.CR #cs.LG