Avik Bhattacharyya

Natural Language Processing · 2020

A researcher in the Science corpus: 3 papers; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 41 citations into it
• Artificial Intelligence — 40 citations into it
• Representation & Self-Supervised Learning — 20 citations into it

Whom Avik Bhattacharyya trusts overall

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

1. Tomas Mikolov
2. Ilya Sutskever
3. Piotr Bojanowski
4. Edouard Grave
5. Yoshua Bengio
6. Jeffrey Pennington
7. Geoffrey E. Hinton

Papers from Avik Bhattacharyya's perspective

Ordered by how strongly the researchers Avik Bhattacharyya 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. ImageNet classification with deep convolutional neural networks
4. Long Short-Term Memory
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. GloVe: Global Vectors for Word Representation
9. Language Models are Unsupervised Multitask Learners
10. Gradient-based learning applied to document recognition

Their papers

• AI4Bharat-IndicNLP Corpus: Monolingual Corpora and Word Embeddings for Indic Languages (2020) — 116 citations
• iNLPSuite: Monolingual Corpora, Evaluation Benchmarks and Pre-trained Multilingual Language Models for Indian Languages (2020) — 393 citations
• iNLPSuite: Monolingual Corpora, Evaluation Benchmarks and Pre-trained Multilingual Language Models for Indian Languages (2020) — 387 citations