Tanmay Rajpurohit
Artificial Intelligence · 2022–2023
A researcher in the Science corpus: 3 papers; trusts 27 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 122 citations into it
- Natural Language Processing — 74 citations into it
- Reinforcement Learning — 10 citations into it
- Management Science and Operations Research — 5 citations into it
Whom Tanmay Rajpurohit trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Ronald J. Williams
- Yoshua Bengio
- Yann LeCun
- Alex Krizhevsky
- Ilya Sutskever
- Subhro Roy
Papers from Tanmay Rajpurohit's perspective
Ordered by how strongly the researchers Tanmay Rajpurohit trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Language Models are Unsupervised Multitask Learners
- Gradient-based learning applied to document recognition
- Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
- Language Models are Few-Shot Learners (Neural Information Processing Systems)
Their papers
- LILA: A Unified Benchmark for Mathematical Reasoning (2022) — 171 citations
- Toxicity in ChatGPT: Analyzing Persona-assigned Language Models (2023) — 523 citations
- Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning (2022) — 463 citations