Dipjyoti Paul

Artificial Intelligence · 2020

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 24 citations into it
• Signal Processing — 22 citations into it
• Speech & Audio — 19 citations into it
• Natural Language Processing — 7 citations into it

Whom Dipjyoti Paul trusts overall

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

1. Aäron van den Oord
2. Wei Ping
3. Eric Moulines
4. Nal Kalchbrenner
5. Hideki Kawahara
6. Karen Simonyan
7. Geoffrey E. Hinton
8. Diederik P. Kingma
9. Yoshua Bengio
10. Alex Graves

Who trusts Dipjyoti Paul overall

1. Xu Tan
2. Sang-gil Lee
3. Yihan Cao
4. Edresson Casanova
5. Tao Qin
6. Rongjie Huang
7. Wei Ping
8. Frank K. Soong

Papers from Dipjyoti Paul's perspective

Ordered by how strongly the researchers Dipjyoti Paul 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. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. WaveNet: A Generative Model for Raw Audio

Their papers

• Enhancing Speech Intelligibility in Text-To-Speech Synthesis using Speaking Style Conversion (2020) — 25 citations
• Speaker Conditional WaveRNN: Towards Universal Neural Vocoder for Unseen Speaker and Recording Conditions (2020) — 34 citations