Anurag Goswami
Artificial Intelligence · 2020
A researcher in the Science corpus: 2 papers; trusts 377 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 96 citations into it
- Computer Vision and Pattern Recognition — 89 citations into it
- Efficiency & Compression — 63 citations into it
- Model Architectures — 26 citations into it
- Signal Processing — 16 citations into it
- Optimization & Training — 11 citations into it
- Electrical and Electronic Engineering — 8 citations into it
- Evaluation & Benchmarks — 5 citations into it
Whom Anurag Goswami trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yann LeCun
- Yoshua Bengio
- Alex Krizhevsky
- Kaiming He
- Ilya Sutskever
- Diederik P. Kingma
- Karen Simonyan
- Christian Szegedy
- Ross B. Girshick
Papers from Anurag Goswami's perspective
Ordered by how strongly the researchers Anurag Goswami 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
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- FNDNet - A deep convolutional neural network for fake news detection (2020) — 366 citations
- A comprehensive survey on model compression and acceleration (2020) — 519 citations