Ashwin Kalyan
Artificial Intelligence · 2019–2023
A researcher in the Science corpus: 7 papers; trusts 67 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 229 citations into it; #35,164 of 35,345 by trust here, #6,266 by citations
- Natural Language Processing — 141 citations into it
- Computer Vision and Pattern Recognition — 84 citations into it
- Evaluation & Benchmarks — 61 citations into it
- Information Systems — 44 citations into it
- Large Language Models — 43 citations into it
- Prompting & Reasoning — 41 citations into it; #332 of 359 by trust here, #137 by citations
- Reinforcement Learning — 14 citations into it
Whom Ashwin Kalyan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- G. Tesauro
- Diederik P. Kingma
- Geoffrey E. Hinton
- Jacob Devlin
- Yoshua Bengio
- Ilya Sutskever
- Alex Krizhevsky
- Yann LeCun
- Kaiming He
- Sumit Gulwani
Who trusts Ashwin Kalyan overall
Papers from Ashwin Kalyan's perspective
Ordered by how strongly the researchers Ashwin Kalyan trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- 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
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering (2022) — 2,503 citations
- LILA: A Unified Benchmark for Mathematical Reasoning (2022) — 171 citations
- NumGLUE: A Suite of Fundamental yet Challenging Mathematical Reasoning Tasks (2022) — 152 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
- Programming Puzzles (2021) — 40 citations
- ADAPTIVE GENERATION OF PROGRAMMING PUZZLES (2019)