Bodhisattwa Prasad Majumder
Artificial Intelligence · 2020–2023
A researcher in the Science corpus: 6 papers; trusts 303 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 275 citations into it
- Natural Language Processing — 222 citations into it; #4,034 of 5,688 by trust here, #1,240 by citations
- Computer Vision and Pattern Recognition — 100 citations into it
- Evaluation & Benchmarks — 93 citations into it
- Large Language Models — 36 citations into it
- Safety, Robustness & Interpretability — 25 citations into it
- Model Architectures — 20 citations into it
- Multimodal Learning — 19 citations into it
Whom Bodhisattwa Prasad Majumder trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Kaiming He
- Yoshua Bengio
- Alex Krizhevsky
- Ilya Sutskever
- Yann LeCun
- Jimmy Ba
- Richard Socher
- Alex Graves
Who trusts Bodhisattwa Prasad Majumder overall
- Yordan Yordanov
- Vid Kocijan
- Andrew Kyle Lampinen
- Andrew Brock
- Thomas Lukasiewicz
- Matthew McPartlon
- Sam Shleifer
- Oana-Maria Camburu
- Charlie Nash
- Tianyang Lin
Papers from Bodhisattwa Prasad Majumder's perspective
Ordered by how strongly the researchers Bodhisattwa Prasad Majumder trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Gradient-based learning applied to document recognition
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- ReZero is All You Need: Fast Convergence at Large Depth (2020) — 404 citations
- The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics (2021) — 329 citations
- Self-Refine: Iterative Refinement with Self-Feedback (2023) — 4,061 citations
- Knowledge-Grounded Self-Rationalization via Extractive and Natural Language Explanations (2021) — 40 citations
- Detect and Perturb: Neutral Rewriting of Biased and Sensitive Text via Gradient-based Decoding (2021) — 34 citations
- Rationale-Inspired Natural Language Explanations with Commonsense (2021) — 19 citations