Somak Aditya
Artificial Intelligence · 2015–2018
A researcher in the Science corpus: 3 papers; trusts 167 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 48 citations into it; #28,786 of 35,345 by trust here, #29,412 by citations
- Computer Vision and Pattern Recognition — 33 citations into it; #17,659 of 21,575 by trust here, #18,782 by citations
- Natural Language Processing — 33 citations into it
- Multimodal Learning — 19 citations into it
- Evaluation & Benchmarks — 9 citations into it
Whom Somak Aditya trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Alex Krizhevsky
- Justin Johnson
- Marie-Catherine de Marneffe
- Kaiming He
- Diederik P. Kingma
- Ilya Sutskever
- Yann LeCun
- Oriol Vinyals
Who trusts Somak Aditya overall
Papers from Somak Aditya's perspective
Ordered by how strongly the researchers Somak Aditya 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
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Explicit Reasoning over End-to-End Neural Architectures for Visual Question Answering (2018) — 55 citations
- Spatial Knowledge Distillation to Aid Visual Reasoning (2018) — 17 citations
- Towards Addressing the Winograd Schema Challenge - Building and Using a Semantic Parser and a Knowledge Hunting Module (2015) — 86 citations