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Maithra Raghu
Insights on Representational Similarity in Neural Networks with Canonical Correlation
Dissecting the Weight Space of Neural Networks
Improved Expressivity Through Dendritic Neural Networks
Metamers of Neural Networks Reveal Divergence from Human Perceptual Systems
SPINN: Synergistic Progressive Inference of Neural Networks Over Device and Cloud
On the Expressive Power of Deep Neural
Similarity of Neural Network Representa- Tions Revisited
Thèse De Doctorat NNT
Rapid Learning Or Feature Reuse? Towards Understanding the Effectiveness of MAML
What Is Being Transferred in Transfer Learning?
Detecting and Diagnosing Adversarial Images with Class-Conditional Capsule Reconstructions
Universality and Individuality in Neural Dynamics Across Large Populations of Recurrent Networks
Can Deep Reinforcement Learning Solve Erdos-Selfridge-Spencer Games?
Maithra (Maithreyi) Raghu
[email protected]
@Maithra Raghu
Rapid Learning Or Feature Reuse?
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