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Rob Fergus

  1. Intriguing properties of neural networks
    2013/12/21 by Christian Szegedy, Szegedy, Christian, Wojciech Zaremba +11 · 3 voices · 381 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Neural Networks and Applications #cs.CV #cs.LG #cs.NE
  2. Visualizing and Understanding Convolutional Networks
    2013/11/12 by Matthew D. Zeiler, Matthew D Zeiler, Rob Fergus +2 · 2 voices · 187 citations
    Computer Science · Biochemistry, Genetics and Molecular Biology · #cs.CV
  3. Depth Map Prediction from a Single Image using a Multi-Scale Deep Network
    2014/06/09 by David Eigen, Eigen, David, Christian Puhrsch +3 · 194 citations
    Computer Science · Engineering · #Advanced Vision and Imaging #Robotics and Sensor-Based Localization #Optical measurement and interference techniques
  4. Predicting Depth, Surface Normals and Semantic Labels with a Common\n Multi-Scale Convolutional Architecture
    2014/11/17 by David Eigen, Rob Fergus, Eigen, David +1 · 1 voice · 50 citations
    Computer Science · Engineering · #Advanced Image and Video Retrieval Techniques #Advanced Vision and Imaging #Industrial Vision Systems and Defect Detection #Robotics and Sensor-Based Localization #cs.CV
  5. Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs
    2024/06/24 by Shengbang Tong, Ellis Brown, Tong, Shengbang +26 · 2 voices · 153 citations
    Computer Science · #Advanced Computational Techniques and Applications #cs.CV
  6. Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences
    2021/04/05 by Alexander Rives, Joshua Meier, Tom Sercu +8 · 92 citations
    Biochemistry, Genetics and Molecular Biology · #Machine Learning in Bioinformatics #Protein Structure and Dynamics #RNA and protein synthesis mechanisms
  7. De novo design of high-affinity protein binders with AlphaProteo
    2024/09/12 by Vinicius Zambaldi, Vinícius Zambaldi, David La +69 · 3 voices · 11 citations
    Biochemistry, Genetics and Molecular Biology · Medicine · #Advanced Biosensing Techniques and Applications #Monoclonal and Polyclonal Antibodies Research #Protein purification and stability #q-bio.BM
  8. Learning Physical Intuition of Block Towers by Example
    2016/03/03 by Adam Lerer, Lerer, Adam, Sam Gross +3 · 1 voice · 3 citations
    #cs.AI
  9. Learning Multiagent Communication with Backpropagation
    2016/05/25 by Sainbayar Sukhbaatar, Sukhbaatar, Sainbayar, Arthur Szlam +3 · 37 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications #Reinforcement Learning in Robotics
  10. OverFeat: Integrated Recognition, Localization and Detection using\n Convolutional Networks
    2013/12/21 by Pierre Sermanet, David Eigen, Sermanet, Pierre +9 · 53 citations
    Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #Advanced Image and Video Retrieval Techniques
  11. Mastering Visual Continuous Control: Improved Data-Augmented Reinforcement Learning
    2021/07/20 by Denis Yarats, Yarats, Denis, Rob Fergus +5 · 43 citations
    Computer Science · Biochemistry, Genetics and Molecular Biology · #Reinforcement Learning in Robotics #Adaptive Dynamic Programming Control #Zebrafish Biomedical Research Applications
  12. Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels
    2020/04/28 by Ilya Kostrikov, Denis Yarats, Kostrikov, Ilya +3 · 31 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 #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics #electronic engineering #information engineering
  13. BALROG: Benchmarking Agentic LLM and VLM Reasoning On Games
    2024/11/20 by Davide Paglieri, Bartłomiej Cupiał, Paglieri, Davide +25 · 4 voices · 36 citations
    Computer Science · #Multi-Agent Systems and Negotiation #Semantic Web and Ontologies #cs.AI
  14. Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC
    2023/02/22 by Yilun Du, Conor Durkan, Du, Yilun +15 · 31 citations
    Computer Science · #Artificial Intelligence (cs.AI) #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) #Machine Learning in Healthcare #Topic Modeling
  15. MazeBase: A Sandbox for Learning from Games
    2015/11/23 by Sainbayar Sukhbaatar, Sukhbaatar, Sainbayar, Arthur Szlam +7 · 1 voice · 5 citations
    Computer Science · Social Sciences · #Artificial Intelligence in Games #Digital Games and Media #Reinforcement Learning in Robotics #cs.AI #cs.LG #cs.NE
  16. IntPhys: A Benchmark for Visual Intuitive Physics Reasoning
    2018/03/20 by Ronan Riochet, Mario Ynocente Castro, Riochet, Ronan +11 · 12 citations
    Computer Science · Neuroscience · #Human Pose and Action Recognition #Cognitive Science and Education Research #Explainable Artificial Intelligence (XAI)
  17. Simple Baseline for Visual Question Answering
    2015/12/07 by Bolei Zhou, Zhou, Bolei, Yuandong Tian +7 · 17 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Multimodal Machine Learning Applications
  18. Collaborating with language models for embodied reasoning
    2023/02/01 by Ishita Dasgupta, Christine Kaeser‐Chen, Dasgupta, Ishita +11 · 7 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multi-Agent Systems and Negotiation #Natural Language Processing Techniques #Topic Modeling
  19. Beyond Frontal Faces: Improving Person Recognition Using Multiple Cues
    2015/01/23 by Ning Zhang, Manohar Paluri, Zhang, Ning +7 · 4 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Face and Expression Recognition #Face recognition and analysis #Video Surveillance and Tracking Methods
  20. Learning to Discover Efficient Mathematical Identities
    2014/06/06 by Wojciech Zaremba, Karol Kurach, Zaremba, Wojciech +3 · 5 citations
    Computer Science · #Natural Language Processing Techniques #Topic Modeling #Neural Networks and Applications
  21. Improving Image Classification with Location Context
    2015/05/14 by Kevin Tang, Tang, Kevin, Manohar Paluri +7 · 3 citations
    Computer Science · Engineering · #Advanced Image and Video Retrieval Techniques #Robotics and Sensor-Based Localization #Image Retrieval and Classification Techniques
  22. Language Agents Mirror Human Causal Reasoning Biases. How Can We Help Them Think Like Scientists?
    2025/05/14 by Anthony GX-Chen, GX-Chen, Anthony, Dongyan Lin +11 · 3 voices · 2 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #cs.AI #cs.CL
  23. Deep End2End Voxel2Voxel Prediction
    2015/11/20 by Du Tran, Lubomir Bourdev, Tran, Du +7 · 4 citations
    Computer Science · #Advanced Vision and Imaging #Human Pose and Action Recognition #Anomaly Detection Techniques and Applications
  24. Distilling Internet-Scale Vision-Language Models into Embodied Agents
    2023/01/29 by Theodore R. Sumers, Sumers, Theodore, Kenneth Marino +7 · 2 citations
    Computer Science · #Multimodal Machine Learning Applications #Human Pose and Action Recognition #Domain Adaptation and Few-Shot Learning
  25. EmbedDistill: A Geometric Knowledge Distillation for Information Retrieval
    2023/01/27 by Seungyeon Kim, Ankit Singh Rawat, Kim, Seungyeon +15 · 2 citations
    Computer Science · #Advanced Graph Neural Networks #Advanced Image and Video Retrieval Techniques #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG)
  26. Learning Simple Algorithms from Examples
    2015/11/23 by Wojciech Zaremba, Zaremba, Wojciech, Tomáš Mikolov +5 · 5 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Topic Modeling
  27. Differentiable Pooling for Hierarchical Feature Learning
    2012/06/30 by Matthew D. Zeiler, Zeiler, Matthew D., Rob Fergus +1 · 1 citation
    Computer Science · #Advanced Image and Video Retrieval Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Neural Networks and Applications
  28. KL-Regularized Reinforcement Learning is Designed to Mode Collapse
    2025/10/23 by Anthony GX-Chen, GX-Chen, Anthony, Jatin Prakash +7 · 1 voice · 4 citations
    Materials Science · Computer Science · #Machine Learning in Materials Science #Topic Modeling #Reinforcement Learning in Robotics
  29. Cambrian-S: Towards Spatial Supersensing in Video
    2025/11/06 by Shusheng Yang, Yang, Shusheng, Jihan Yang +23 · 14 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
  30. Disentangling Video with Independent Prediction
    2019/01/17 by WILLIAM F. WHITNEY, Rob Fergus, Whitney, William F. +1 · 1 citation
    Computer Science · #Advanced Steganography and Watermarking Techniques #Chaos-based Image/Signal Encryption #Computer Vision and Pattern Recognition (cs.CV) #Digital Media Forensic Detection #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  31. Training Language Models on Synthetic Edit Sequences Improves Code Synthesis
    2024/10/03 by Ulyana Piterbarg, Lerrel Pinto, Piterbarg, Ulyana +3 · 1 citation
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Model-Driven Software Engineering Techniques #Natural Language Processing Techniques #Software Engineering Research