Eshaan Pathak
Artificial Intelligence · 2021–2022
A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 104 citations into it
Whom Eshaan Pathak trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Eshaan Pathak overall
Papers from Eshaan Pathak's perspective
Ordered by how strongly the researchers Eshaan Pathak trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Language Models are Unsupervised Multitask Learners
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Detoxifying Language Models Risks Marginalizing Minority Voices (2021) — 148 citations
- Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks (2022) — 1,112 citations
- Benchmarking Generalization via In-Context Instructions on 1, 600+ Language Tasks (2022) — 156 citations