Sasikanth Avancha
Artificial Intelligence · 2012–2019
A researcher in the Science corpus: 4 papers; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 63 citations into it
- Computer Vision and Pattern Recognition — 39 citations into it
- Reinforcement Learning — 27 citations into it
- Computer Networks and Communications — 9 citations into it
- Control and Systems Engineering — 9 citations into it
Whom Sasikanth Avancha trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- An Liu
- Mohamed F. Mokbel
- Suhas Mathur
- Daniel Halperin
- Peng Ning
- Yoshua Bengio
- Latanya Sweeney
- Diederik P. Kingma
- Geoffrey E. Hinton
- Andrew Y. Ng
Who trusts Sasikanth Avancha overall
Papers from Sasikanth Avancha's perspective
Ordered by how strongly the researchers Sasikanth Avancha trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- GENERATIVE ADVERSARIAL NETS
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- A Study of BFLOAT16 for Deep Learning Training (2019) — 492 citations
- Mixed Precision Training of Convolutional Neural Networks using Integer Operations (2018) — 169 citations
- RAIL: Risk-Averse Imitation Learning (2017) — 21 citations
- Privacy in mobile technology for personal healthcare (2012) — 256 citations