Pritish Chandna
Signal Processing · 2017–2019
A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Signal Processing — 15 citations into it; #4,808 of 7,572 by trust here, #4,051 by citations
- Computer Vision and Pattern Recognition — 14 citations into it
- Artificial Intelligence — 10 citations into it
- Generative Models — 9 citations into it
Whom Pritish Chandna trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Matthew D. Zeiler
- Geoffrey E. Hinton
- Alex Krizhevsky
- Alec Radford
- Yoshua Bengio
- Merlijn Blaauw
- Tara N. Sainath
- Diederik P. Kingma
- Yuxuan Wang
- Emmanuel Vincent
Who trusts Pritish Chandna overall
- Shrikant Venkataramani
- Jordi Pons
- Francesc Lluís
- David Samuel
- Dario Rethage
- Adam Polyak
- Jesse Engel
- Jiawei Chen
- Hang Zhao
- Ilya Kavalerov
Papers from Pritish Chandna's perspective
Ordered by how strongly the researchers Pritish Chandna trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- WGANSing: A Multi-Voice Singing Voice Synthesizer Based on the Wasserstein-GAN (2019) — 68 citations
- Monoaural Audio Source Separation Using Deep Convolutional Neural Networks (2017) — 192 citations