Abhisek Kundu

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 15 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 28 citations into it; #30,783 of 35,345 by trust here, #15,236 by citations
• Computer Vision and Pattern Recognition — 28 citations into it; #18,892 of 21,575 by trust here, #10,334 by citations
• Efficiency & Compression — 22 citations into it

Whom Abhisek Kundu trusts overall

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

1. Kaiming He
2. Itay Hubara
3. Yoshua Bengio
4. Alex Krizhevsky
5. Jia Deng
6. Matthieu Courbariaux
7. Geoffrey E. Hinton
8. Vincent Vanhoucke
9. X. Zhang
10. Ross B. Girshick

Who trusts Abhisek Kundu overall

1. Asit K. Mishra
2. Qing Jin
3. Christos Louizos

Papers from Abhisek Kundu's perspective

Ordered by how strongly the researchers Abhisek Kundu trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet: A large-scale hierarchical image database
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. ImageNet Large Scale Visual Recognition Challenge
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Attention is All you Need (Neural Information Processing Systems)
10. Going deeper with convolutions

Their papers

• Ternary Neural Networks with Fine-Grained Quantization (2017) — 112 citations
• A Study of BFLOAT16 for Deep Learning Training (2019) — 492 citations