Mihai Nica

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 24 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Mihai Nica trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Boris Hanin
  2. Ethan Dyer
  3. Mikhail Belkin
  4. Colin Wei
  5. Lénaïc Chizat
  6. Song Mei
  7. Stefano Spigler
  8. Grant M. Rotskoff
  9. Michel Talagrand
  10. Francis R. Bach

Who trusts Mihai Nica overall

  1. Greg Yang
  2. Yasaman Bahri
  3. Zeyuan Allen-Zhu
  4. Yuanzhi Li
  5. Mario Geiger
  6. Etai Littwin

Papers from Mihai Nica's perspective

Ordered by how strongly the researchers Mihai Nica trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Gradient-based learning applied to document recognition
  4. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  5. Learning Multiple Layers of Features from Tiny Images
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Long Short-Term Memory
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Neural Tangent Kernel: Convergence and Generalization in Neural Networks

Their papers