Gautam Bhattacharya

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 8 citations into it; #15,394 of 35,345 by trust here, #28,481 by citations

Whom Gautam Bhattacharya trusts overall

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

1. Patrick Kenny
2. Karen Simonyan
3. Sergey Ioffe
4. Andrew Zisserman
5. Geoffrey E. Hinton
6. Colin Raffel
7. Nitish Srivastava
8. Najim Dehak
9. Christian Szegedy
10. Alex Krizhevsky

Who trusts Gautam Bhattacharya overall

1. Arsha Nagrani
2. Weidi Xie
3. Koji Okabe
4. Weicheng Cai
5. Joon Son Chung
6. Mirco Ravanelli
7. Takafumi Koshinaka
8. Jinkun Chen
9. Andrew Zisserman
10. Yoshua Bengio

Papers from Gautam Bhattacharya's perspective

Ordered by how strongly the researchers Gautam Bhattacharya 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. Going deeper with convolutions

Their papers

• Deep Speaker Embeddings for Short-Duration Speaker Verification (2017) — 150 citations