Mukund Srinath

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it
• Safety, Robustness & Interpretability — 15 citations into it
• Natural Language Processing — 14 citations into it

Whom Mukund Srinath trusts overall

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

1. Hila Gonen
2. Clayton J. Hutto
3. Jeffrey Pennington
4. Jacob Devlin
5. Vinodkumar Prabhakaran
6. Alec Radford
7. Richard Socher
8. Keita Kurita
9. Mark Diaz
10. Ben Hutchinson

Papers from Mukund Srinath's perspective

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

1. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
2. Attention is All you Need (Neural Information Processing Systems)
3. GloVe: Global Vectors for Word Representation
4. ImageNet classification with deep convolutional neural networks
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Language Models are Unsupervised Multitask Learners
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Long Short-Term Memory
9. ImageNet: A large-scale hierarchical image database
10. Gradient-based learning applied to document recognition

Their papers

• A Study of Implicit Bias in Pretrained Language Models against People with Disabilities (2022) — 79 citations