Rasika Bhalerao

Artificial Intelligence · 2020–2023

A researcher in the Science corpus: 2 papers; trusts 26 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 94 citations into it; #16,366 of 35,345 by trust here, #6,720 by citations
• Natural Language Processing — 59 citations into it; #3,045 of 5,688 by trust here, #1,837 by citations
• Evaluation & Benchmarks — 24 citations into it

Whom Rasika Bhalerao trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Alex Wang
4. Diederik P. Kingma
5. Ilya Sutskever
6. Alex Krizhevsky
7. Yann LeCun
8. Kaiming He
9. Ruslan Salakhutdinov
10. Percy Liang

Who trusts Rasika Bhalerao overall

1. Eric Michael Smith
2. Irene Solaiman
3. Sunipa Dev
4. Svetlana Kiritchenko

Papers from Rasika Bhalerao's perspective

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

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

Their papers

• CrowS-Pairs: A Challenge Dataset for Measuring Social Biases in Masked Language Models (2020) — 993 citations
• Pretraining Language Models with Human Preferences (2023) — 302 citations