Ishanu Chattopadhyay
Artificial Intelligence · 2018
A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 14 citations into it; #25,960 of 35,345 by trust here, #25,040 by citations
- Optimization & Training — 6 citations into it
Whom Ishanu Chattopadhyay trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Leo Breiman
- Robert E. Schapire
- David Hilton Wolpert
- Frank Hutter
- Randal S. Olson
- James Bergstra
- Corinna Cortes
- Jasper Snoek
Who trusts Ishanu Chattopadhyay overall
Papers from Ishanu Chattopadhyay's perspective
Ordered by how strongly the researchers Ishanu Chattopadhyay trusts endorse each paper. Same corpus, a different order for every researcher.
- Practical Bayesian Optimization of Machine Learning Algorithms
- ImageNet classification with deep convolutional neural networks
- Deep Learning
- Support-Vector Networks
- Gradient-based learning applied to document recognition
- Learning Multiple Layers of Features from Tiny Images
- Sequential Model-Based Optimization for General Algorithm Configuration
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Going deeper with convolutions
Their papers
- Autostacker: a compositional evolutionary learning system (2018) — 87 citations