Raghu, Maithra

1. Do Vision Transformers See Like Convolutional Neural Networks?
   2021/08/19 by Maithra Raghu, Raghu, Maithra, Thomas Unterthiner +7 · 2 voices · 71 citations
   #cs.CV #cs.AI #cs.LG #stat.ML
2. Exponential expressivity in deep neural networks through transient chaos
   2016/06/16 by Ben Poole, Subhaneil Lahiri, Poole, Ben +8 · 2 voices · 37 citations
   Computer Science · Mathematics · Neuroscience · Physics and Astronomy · #Model Reduction and Neural Networks #Neural Networks and Applications #Neural dynamics and brain function #cond-mat.dis-nn #cs.LG #stat.ML
3. Transfusion: Understanding Transfer Learning for Medical Imaging
   2019/02/14 by Maithra Raghu, Raghu, Maithra, Chiyuan Zhang +5 · 1 voice · 34 citations
   Medicine · Computer Science · #COVID-19 diagnosis using AI #AI in cancer detection #Radiomics and Machine Learning in Medical Imaging
4. A Survey of Deep Learning for Scientific Discovery
   2020/03/26 by Maithra Raghu, Eric Schmidt, E. Schmidt +2 · 1 voice · 4 citations
   Computer Science · Decision Sciences · #Advanced Graph Neural Networks #Machine Learning and Data Classification #Scientific Computing and Data Management #cs.LG #stat.ML
5. On the Expressive Power of Deep Neural Networks
   2016/06/16 by Maithra Raghu, Ben Poole, Raghu, Maithra +7 · 38 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Neural Networks and Applications #Machine Learning and Algorithms
6. Insights on representational similarity in neural networks with canonical correlation
   2018/06/14 by Ari S. Morcos, Morcos, Ari S., Maithra Raghu +3 · 20 citations
   Computer Science · Materials Science · Neuroscience · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Functional Brain Connectivity Studies #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Materials Science #Neural Networks and Applications #Neural and Evolutionary Computing (cs.NE) #Neural dynamics and brain function
7. Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML
   2019/09/19 by Aniruddh Raghu, Maithra Raghu, Raghu, Aniruddh +5 · 20 citations
   Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Multimodal Machine Learning Applications
8. Do Wide and Deep Networks Learn the Same Things? Uncovering How Neural Network Representations Vary with Width and Depth
   2020/10/29 by Thao Nguyen, Maithra Raghu, Nguyen, Thao +3 · 14 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Domain Adaptation and Few-Shot Learning #Machine Learning and Data Classification
9. The Algorithmic Automation Problem: Prediction, Triage, and Human Effort
   2019/03/28 by Maithra Raghu, Raghu, Maithra, Katy Blumer +9 · 7 citations
   Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Machine Learning in Healthcare
10. Anatomy of Catastrophic Forgetting: Hidden Representations and Task Semantics
    2020/07/14 by Vinay Ramasesh, Ramasesh, Vinay V., Ethan Dyer +3 · 5 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimodal Machine Learning Applications #Topic Modeling
11. Direct Uncertainty Prediction for Medical Second Opinions
    2018/07/04 by Maithra Raghu, Katy Blumer, Raghu, Maithra +11 · 3 citations
    Computer Science · Medicine · #Machine Learning in Healthcare #Artificial Intelligence in Healthcare and Education #Clinical Reasoning and Diagnostic Skills
12. On the Origins of the Block Structure Phenomenon in Neural Network Representations
    2022/02/15 by Thao D. Nguyen, Nguyen, Thao, Maithra Raghu +3 · 2 citations
    Computer Science · Physics and Astronomy · #Neural Networks and Applications #Generative Adversarial Networks and Image Synthesis #Model Reduction and Neural Networks
13. Pointer Value Retrieval: A new benchmark for understanding the limits of neural network generalization
    2021/07/27 by Zhang, Chiyuan, Raghu, Maithra, Kleinberg, Jon +1 · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
14. Survey of Expressivity in Deep Neural Networks
    2016/11/24 by Maithra Raghu, Raghu, Maithra, Ben Poole +7 · 1 voice
    Computer Science · Mathematics · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE) #cs.LG #cs.NE #stat.ML