Deepak Ramachandran
Artificial Intelligence · 2007–2025
A researcher in the Science corpus: 8 papers; trusts 57 researchers and is trusted by 100 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 87 citations into it
- Natural Language Processing — 59 citations into it; #2,051 of 5,688 by trust here, #1,891 by citations
- Computer Vision and Pattern Recognition — 32 citations into it
- Large Language Models — 20 citations into it
- Evaluation & Benchmarks — 18 citations into it; #1,102 of 3,147 by trust here, #1,431 by citations
- Representation & Self-Supervised Learning — 7 citations into it
- Reinforcement Learning — 5 citations into it; #242 of 2,242 by trust here, #805 by citations
Whom Deepak Ramachandran trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Andrew Barto
- Santosh Srinivas Vempala
- Albert Tarantola
- Jacob Devlin
- Geoffrey E. Hinton
- Aäron van den Oord
- Richard S. Sutton
- Yoshua Bengio
- Diederik P. Kingma
- Ilya Sutskever
Who trusts Deepak Ramachandran overall
- Daniel S. Brown
- Scott Niekum
- Sergey Levine
- Manuel Lopes
- Kun Li
- Pieter Abbeel
- Yuchen Cui
- Chelsea Finn
- J. Bagnell
- Anca Dragan
Papers from Deepak Ramachandran's perspective
Ordered by how strongly the researchers Deepak Ramachandran trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- 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)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- 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
- Which Linguist Invented the Lightbulb? Presupposition Verification for Question-Answering (2021) — 56 citations
- LAMBADA: Backward Chaining for Automated Reasoning in Natural Language (2022) — 105 citations
- Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities (2025) — 3,609 citations
- Do Language Embeddings capture Scales? (2020) — 8 citations
- Do Language Embeddings capture Scales? (2020) — 100 citations
- How Large Are Lions? Inducing Distributions over Quantitative Attributes (2019) — 61 citations
- The Dialog State Tracking Challenge (2013) — 380 citations
- Bayesian Inverse Reinforcement Learning (2007) — 882 citations