Parth Shah

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 31 citations into it
• Safety, Robustness & Interpretability — 10 citations into it

Whom Parth Shah trusts

Their strongest outbound trust, strongest first, inferred from their citations.

1. Xiaowei Huang (in Safety, Robustness & Interpretability)
2. Sergey Levine (in Artificial Intelligence)

Papers from Parth Shah's perspective

Ordered by how strongly the researchers Parth Shah trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Intriguing properties of neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Continuous control with deep reinforcement learning (International Conference on Learning Representations)
5. Trust Region Policy Optimization (International Conference on Machine Learning)
6. Deep Learning
7. WaveNet: A Generative Model for Raw Audio
8. End-to-End Training of Deep Visuomotor Policies
9. Gradient-based learning applied to document recognition
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• Making Sense of Vision and Touch: Self-Supervised Learning of Multimodal Representations for Contact-Rich Tasks (2018) — 456 citations
• The Marabou Framework for Verification and Analysis of Deep Neural Networks (2019) — 622 citations