Himanshu Kumar
Artificial Intelligence · with Sastry · 2017–2018
A researcher in the Science corpus: 2 papers; trusts 71 researchers and is trusted by 18 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 21 citations into it; #11,243 of 35,345 by trust here, #15,004 by citations
- Computer Vision and Pattern Recognition — 14 citations into it
- Evaluation & Benchmarks — 8 citations into it
- Optimization & Training — 7 citations into it
Whom Himanshu Kumar trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Neil D. Lawrence
- Jakramate Bootkrajang
- Geoffrey E. Hinton
- Anelia Angelova
- Benoît Frénay
- Volodymyr Mnih
- Nagarajan Natarajan
- Giorgio Patrini
- Bernhard Schölkopf
Who trusts Himanshu Kumar overall
- Chao Lan
- Yi-Wei Chen
- Xingjun Ma
- Eduardo Fonseca
- Yisen Wang
- Yixiao Ge
- Wei Hu
- Davood Karimi
- Youngdong Kim
- Elad Amrani
Papers from Himanshu Kumar's perspective
Ordered by how strongly the researchers Himanshu Kumar 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
- 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
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Robust Loss Functions under Label Noise for Deep Neural Networks (2017) — 1,168 citations
- Robust Loss Functions for Learning Multi-class Classifiers (2018) — 17 citations