Sahil Singla
Artificial Intelligence · with Feizi · 2019
A researcher in the Science corpus: 2 papers; trusts 39 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 44 citations into it
- Safety, Robustness & Interpretability — 39 citations into it
- Computer Vision and Pattern Recognition — 20 citations into it
- Biophysics — 7 citations into it
- Computational Mechanics — 5 citations into it
- Computer Networks and Communications — 5 citations into it
- Optimization & Training — 5 citations into it
Whom Sahil Singla trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Robert Tibshirani
- Karen Simonyan
- Kaiming He
- Barak A. Pearlmutter
- Gitta Kutyniok
- E.J. Candes
- Geoffrey E. Hinton
- Alex Krizhevsky
- Yoshua Bengio
- Ian J. Goodfellow
Who trusts Sahil Singla overall
Papers from Sahil Singla's perspective
Ordered by how strongly the researchers Sahil Singla 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
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Certifiably Robust Interpretation in Deep Learning (2019) — 65 citations
- Understanding Impacts of High-Order Loss Approximations and Features in Deep Learning Interpretation (2019) — 63 citations