Debraj Basu
Artificial Intelligence · 2019
A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 38 citations into it; #23,670 of 35,345 by trust here, #15,236 by citations
- Optimization & Training — 35 citations into it; #1,949 of 2,601 by trust here, #1,385 by citations
- Computer Vision and Pattern Recognition — 15 citations into it
- Computational Mechanics — 12 citations into it; #6,575 of 10,001 by trust here, #3,029 by citations
- Efficiency & Compression — 11 citations into it
- Management Science and Operations Research — 7 citations into it
- ML Systems & Hardware — 7 citations into it; #351 of 575 by trust here, #337 by citations
Whom Debraj Basu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Yann LeCun
- Nikko Ström
- L. Eon Bottou
- Sebastian U. Stich
- Geoffrey E. Hinton
- Yoshua Bengio
- Alex Krizhevsky
- Hao Yu
- Martin A. Riedmiller
Who trusts Debraj Basu overall
- Ahmed Khaled
- Xinmeng Huang
- Konstantin Mishchenko
- Farzin Haddadpour
- Peter Richtárik
- Cong Xie
- Zachary B. Charles
- Enrique Tomás Martínez Beltrán
- Deepesh Data
- Aryan Mokhtari
Papers from Debraj Basu's perspective
Ordered by how strongly the researchers Debraj Basu trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Qsparse-Local-SGD: Distributed SGD With Quantization, Sparsification, and Local Computations (2019) — 455 citations