Biswajit Paria

Artificial Intelligence · 2016–2022

A researcher in the Science corpus: 2 papers; trusts 91 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 81 citations into it
• Natural Language Processing — 67 citations into it
• Computer Vision and Pattern Recognition — 28 citations into it
• Safety, Robustness & Interpretability — 12 citations into it
• Generative Models — 8 citations into it
• Model Architectures — 8 citations into it
• Representation & Self-Supervised Learning — 7 citations into it

Whom Biswajit Paria trusts overall

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

1. Yoshua Bengio
2. Diederik P. Kingma
3. Tomas Mikolov
4. Geoffrey E. Hinton
5. Richard Socher
6. Sepp Hochreiter
7. Ilya Sutskever
8. Alex Krizhevsky
9. J. Urgen Schmidhuber
10. Christopher D. Manning

Who trusts Biswajit Paria overall

1. Qian Chen
2. Sachin Kumar
3. Yuxin Wen

Papers from Biswajit Paria's perspective

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

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

• A Neural Architecture Mimicking Humans End-to-End for Natural Language Inference (2016) — 13 citations
• Gradient-based Constrained Sampling from Language Models (2022) — 77 citations