Debasmit Das
Artificial Intelligence · 2019
A researcher in the Science corpus: 2 papers; trusts 570 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 62 citations into it; #24,768 of 35,345 by trust here, #25,040 by citations
- Computer Vision and Pattern Recognition — 59 citations into it; #15,360 of 21,575 by trust here, #20,271 by citations
- Representation & Self-Supervised Learning — 39 citations into it
- Radiology, Nuclear Medicine and Imaging — 14 citations into it; #1,775 of 3,265 by trust here, #2,462 by citations
- Meta & Continual Learning — 10 citations into it
- Optimization & Training — 7 citations into it
- Evaluation & Benchmarks — 6 citations into it
Whom Debasmit Das trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Diederik P. Kingma
- Kaiming He
- Yoshua Bengio
- Yann LeCun
- Ilya Sutskever
- Ruslan Salakhutdinov
- Karen Simonyan
- Sepp Hochreiter
Who trusts Debasmit Das overall
Papers from Debasmit Das's perspective
Ordered by how strongly the researchers Debasmit Das 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)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- 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
- Learning Multiple Layers of Features from Tiny Images
Their papers
- A Two-Stage Approach to Few-Shot Learning for Image Recognition (2019) — 141 citations
- Zero-shot Image Recognition Using Relational Matching, Adaptation and Calibration (2019) — 31 citations