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Kreiman, Gabriel

  1. Deep Predictive Coding Networks for Video Prediction and Unsupervised\n Learning
    2016/05/25 by William Lotter, Lotter, William, Gabriel Kreiman +3 · 11 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Advanced Vision and Imaging #Artificial Intelligence (cs.AI) #Cell Image Analysis Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE) #Neurons and Cognition (q-bio.NC) #Visual Attention and Saliency Detection
  2. BrainBERT: Self-supervised representation learning for intracranial recordings
    2023/02/28 by Wang, Christopher, Subramaniam, Vighnesh, Yaari, Adam Uri +4 · 19 citations
    #FOS: Biological sciences #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Neurons and Cognition (q-bio.NC) #Signal Processing (eess.SP) #electronic engineering #information engineering
  3. Robust Feature-Level Adversaries are Interpretability Tools
    2021/10/07 by Casper, Stephen, Nadeau, Max, Hadfield-Menell, Dylan +1 · 3 citations
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  4. When Pigs Fly: Contextual Reasoning in Synthetic and Natural Scenes
    2021/04/06 by Bomatter, Philipp, Zhang, Mengmi, Karev, Dimitar +3 · 3 citations
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  5. Revealing Vision-Language Integration in the Brain with Multimodal Networks
    2024/06/20 by Vighnesh Subramaniam, Colin Conwell, Subramaniam, Vighnesh +11 · 4 citations
    Computer Science · #Multimodal Machine Learning Applications
  6. Forward Learning with Top-Down Feedback: Empirical and Analytical Characterization
    2023/02/10 by Ravi Francesco Srinivasan, Srinivasan, Ravi, Francesca Mignacco +11 · 3 citations
    Computer Science · Neuroscience · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications #Neural Networks and Reservoir Computing #Neural dynamics and brain function
  7. Brain Treebank: Large-scale intracranial recordings from naturalistic language stimuli
    2024/11/13 by Wang, Christopher, Yaari, Adam Uri, Singh, Aaditya K +10 · 5 citations
    #FOS: Biological sciences #Neurons and Cognition (q-bio.NC)
  8. Variational Prototype Replays for Continual Learning
    2019/05/23 by Mengmi Zhang, Zhang, Mengmi, Tao Wang +7 · 4 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #Multimodal Machine Learning Applications #Speech Recognition and Synthesis
  9. On the Robustness of Convolutional Neural Networks to Internal Architecture and Weight Perturbations
    2017/03/23 by Cheney, Nicholas, Schrimpf, Martin, Kreiman, Gabriel · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  10. HumorDB: Can AI understand graphical humor?
    2024/06/19 by Jain, Vedaant, Feitosa, Felipe dos Santos Alves, Kreiman, Gabriel · 2 citations
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #I.5.4
  11. A neural network trained to predict future video frames mimics critical properties of biological neuronal responses and perception
    2018/05/28 by Lotter, William, Kreiman, Gabriel, Cox, David · 1 citation
    #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)
  12. Visual Search Asymmetry: Deep Nets and Humans Share Similar Inherent\n Biases
    2021/06/05 by Shashi Kant Gupta, Mengmi Zhang, Gupta, Shashi Kant +7 · 1 citation
    Neuroscience · #Visual perception and processing mechanisms #Neural and Behavioral Psychology Studies #Face Recognition and Perception
  13. Putting visual object recognition in context
    2019/11/17 by Mengmi Zhang, Claire Tseng, Zhang, Mengmi +3 · 1 citation
    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 #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Visual Attention and Saliency Detection #electronic engineering #information engineering
  14. Efficient Zero-shot Visual Search via Target and Context-aware Transformer
    2022/11/24 by Zhiwei Ding, Xuezhe Ren, Ding, Zhiwei +9 · 1 citation
    Computer Science · #Advanced Image and Video Retrieval Techniques #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Visual Attention and Saliency Detection
  15. Improving generalization by mimicking the human visual diet
    2022/06/15 by Spandan Madan, You Li, Madan, Spandan +7 · 1 citation
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Advanced Vision and Imaging #Artificial Intelligence (cs.AI) #Cell Image Analysis Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Graphics (cs.GR) #Human Pose and Action Recognition
  16. Learning to Learn: How to Continuously Teach Humans and Machines
    2022/11/28 by Singh, Parantak, Li, You, Sikarwar, Ankur +7 · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences