Arun Sai Suggala
Artificial Intelligence · 2018–2019
A researcher in the Science corpus: 4 papers; trusts 60 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 91 citations into it
- Safety, Robustness & Interpretability — 84 citations into it
- Computer Vision and Pattern Recognition — 36 citations into it
- Statistics and Probability — 22 citations into it; #9,681 of 12,932 by trust here, #5,481 by citations
- Biophysics — 12 citations into it
- Optimization & Training — 12 citations into it
- Natural Language Processing — 8 citations into it
- Computational Mechanics — 7 citations into it
Whom Arun Sai Suggala trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Yann LeCun
- Robert Tibshirani
- Christian Szegedy
- Yoshua Bengio
- Chao Gao
- Nicholas Carlini
- Diederik P. Kingma
- Ian J. Goodfellow
Who trusts Arun Sai Suggala overall
Papers from Arun Sai Suggala's perspective
Ordered by how strongly the researchers Arun Sai Suggala 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)
- Gradient-based learning applied to document recognition
- Learning Multiple Layers of Features from Tiny Images
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Robust estimation via robust gradient estimation (2018) — 238 citations
- How Sensitive are Sensitivity-Based Explanations? (2019) — 23 citations
- On the (In)fidelity and Sensitivity for Explanations. (2019) — 604 citations
- Revisiting Adversarial Risk (2018) — 20 citations