Biswadip Dey

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 16 citations into it
• Representation & Self-Supervised Learning — 6 citations into it
• Statistical and Nonlinear Physics — 5 citations into it

Whom Biswadip Dey trusts overall

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

1. Jonathan Baxter
2. David Haussler
3. Diederik P. Kingma
4. Romeo Ortega
5. Geoffrey E. Hinton
6. Jimmy Ba
7. Yoshua Bengio
8. Sam Greydanus
9. Yann LeCun
10. Manuel Watter

Papers from Biswadip Dey's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Symplectic ODE-Net: Learning Hamiltonian Dynamics with Control (2019) — 341 citations
• Multitasking Capability Versus Learning Efficiency in Neural Network Architectures (2017) — 46 citations