Varun Kanade
Artificial Intelligence · 2016–2018
A researcher in the Science corpus: 4 papers; trusts 27 researchers and is trusted by 10 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 58 citations into it; #14,831 of 35,345 by trust here, #13,962 by citations
- Computational Theory and Mathematics — 18 citations into it
- Statistics and Probability — 16 citations into it
- Computer Vision and Pattern Recognition — 14 citations into it; #21,260 of 21,575 by trust here, #16,787 by citations
- Statistical Learning Theory — 12 citations into it; #693 of 1,038 by trust here, #662 by citations
- Privacy & Security — 11 citations into it
- Efficiency & Compression — 10 citations into it
- Model Architectures — 7 citations into it
Whom Varun Kanade trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Gregory Valiant
- Ilias Diakonikolas
- Vaughn Climenhaga
- Paul Valiant
- Frank McSherry
- Andrew L. Maas
- Shai Shalev-Shwartz
- Adam Tauman Kalai
- Paul Holland
- Craig Gentry
Who trusts Varun Kanade overall
- M. Soltanolkotabi
- Surbhi Goel
- Zeyuan Allen-Zhu
- Pasin Manurangsi
- Justina Mandravickaite
- Yuanzhi Li
- Simon Shaolei Du
- Rong Ge
Papers from Varun Kanade's perspective
Ordered by how strongly the researchers Varun Kanade trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Reliably Learning the ReLU in Polynomial Time (2016) — 131 citations
- Statistical Windows in Testing for the Initial Distribution of a Reversible Markov Chain (2018) — 4 citations
- TAPAS: Tricks to Accelerate (encrypted) Prediction As a Service (2018) — 135 citations
- Hierarchical Clustering (2017) — 707 citations