Nichita Diaconu

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 43 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 19 citations into it; #15,511 of 21,575 by trust here, #21,103 by citations
• Model Architectures — 13 citations into it
• Artificial Intelligence — 10 citations into it; #25,257 of 35,345 by trust here, #34,213 by citations

Whom Nichita Diaconu trusts overall

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

1. Taco Cohen
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. Max Welling
5. William T. Freeman
6. Vincent Dumoulin
7. Maurice Weiler
8. Sashank J. Reddi
9. Jost Tobias Springenberg
10. Diederik P. Kingma

Who trusts Nichita Diaconu overall

1. Maurice Weiler
2. Gabriele Cesa
3. David W. Romero

Papers from Nichita Diaconu's perspective

Ordered by how strongly the researchers Nichita Diaconu 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Learning Multiple Layers of Features from Tiny Images
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. ImageNet: A large-scale hierarchical image database
9. ImageNet Large Scale Visual Recognition Challenge
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Learning to Convolve: A Generalized Weight-Tying Approach (2019) — 22 citations