C. Bhattacharyya
Artificial Intelligence · 2000–2015
A researcher in the Science corpus: 6 papers; trusts 29 researchers and is trusted by 30 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 19 citations into it; #6,563 of 35,345 by trust here, #7,112 by citations
- Information Systems — 9 citations into it; #6,491 of 8,771 by trust here, #6,770 by citations
- Computer Vision and Pattern Recognition — 7 citations into it; #8,863 of 21,575 by trust here, #12,689 by citations
- Control and Systems Engineering — 6 citations into it; #1,286 of 8,257 by trust here, #858 by citations
- Optimization & Training — 6 citations into it
- Recommender Systems — 5 citations into it
Whom C. Bhattacharyya trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Vladimir Naumovich Vapni
- Vladimir Naumovich Vapnik
- John C. Platt
- Michael Collins
- Kristin P. Bennett
- Tapio Schneider
- David M. Blei
- Steffen Rendle
- Corinna Cortes
- Ruslan Salakhutdinov
Who trusts C. Bhattacharyya overall
- Ronan Collobert
- S. Sathiya Keerthi
- Huan Xu
- Aharon Ben-Tal
- Chih-Jen Lin
- Shie Mannor
- Laurent El Ghaoui
- Wei Chu
- Emilio Carrizosa
- Alhussein Fawzi
Papers from C. Bhattacharyya's perspective
Ordered by how strongly the researchers C. Bhattacharyya 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)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- 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)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Improvements to Platt's SMO Algorithm for SVM Classifier Design (2001) — 1,974 citations
- Improvements to the SMO algorithm for SVM regression (2000) — 927 citations
- Content Driven User Profiling for Comment-Worthy Recommendations of News and Blog Articles (2015) — 89 citations
- Second Order Cone Programming Approaches for Handling Missing and Uncertain Data (2006) — 252 citations
- A Robust Minimax Approach to Classification (2002) — 534 citations
- A fast iterative nearest point algorithm for support vector machine classifier design (2000) — 419 citations