Harish Guruprasad Ramaswamy
Artificial Intelligence · 2013–2020
A researcher in the Science corpus: 5 papers; trusts 224 researchers and is trusted by 13 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 75 citations into it; #14,255 of 35,345 by trust here, #24,417 by citations
- Computer Vision and Pattern Recognition — 35 citations into it; #15,121 of 21,575 by trust here, #19,766 by citations
- Optimization & Training — 26 citations into it; #2,024 of 2,601 by trust here, #2,378 by citations
- Natural Language Processing — 20 citations into it
- Evaluation & Benchmarks — 19 citations into it; #1,646 of 3,147 by trust here, #3,004 by citations
- Information Retrieval & Search — 15 citations into it
- Model Architectures — 10 citations into it
- Safety, Robustness & Interpretability — 8 citations into it
Whom Harish Guruprasad Ramaswamy trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Tong Zhang
- Peter L. Bartlett
- John C. Duchi
- Clément Calauzènes
- Michael I. Jordan
- Geoffrey E. Hinton
- Alex Krizhevsky
- Jason Aaron Edward Weston
- Karen Simonyan
- Diederik P. Kingma
Who trusts Harish Guruprasad Ramaswamy overall
- Kirill Struminsky
- Simon Lacoste-Julien
- Anton Osokin
- W. Ehm
- Harikrishna Narasimhan
- Tilmann Gneiting
- Yitao Peng
- Anqi Mao
- Shivani Agarwal
- Ruigang Fu
Papers from Harish Guruprasad Ramaswamy's perspective
Ordered by how strongly the researchers Harish Guruprasad Ramaswamy 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
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Ablation-CAM: Visual Explanations for Deep Convolutional Network via Gradient-free Localization (2020) — 528 citations
- On Knowledge distillation from complex networks for response prediction (2019) — 16 citations
- Consistent Multiclass Algorithms for Complex Performance Measures (2015) — 68 citations
- Convex Calibration Dimension for Multiclass Loss Matrices (2014) — 48 citations
- Convex Calibrated Surrogates for Low-Rank Loss Matrices with Applications to Subset Ranking Losses (2013) — 34 citations