Jena D. Hwang
Artificial Intelligence · 2020–2023
A researcher in the Science corpus: 10 papers; trusts 263 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 264 citations into it; #16,775 of 35,345 by trust here, #6,848 by citations
- Natural Language Processing — 193 citations into it; #2,966 of 5,688 by trust here, #1,611 by citations
- Computer Vision and Pattern Recognition — 104 citations into it; #21,406 of 21,575 by trust here, #8,502 by citations
- Evaluation & Benchmarks — 67 citations into it
- Large Language Models — 66 citations into it
- Prompting & Reasoning — 28 citations into it; #292 of 359 by trust here, #248 by citations
- Knowledge Graphs & Representation — 17 citations into it
- Sociology and Political Science — 12 citations into it; #22,513 of 22,756 by trust here, #8,212 by citations
Whom Jena D. Hwang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Alec Radford
- Diederik P. Kingma
- Kaiming He
- Yoshua Bengio
- Ilya Sutskever
- Alex Krizhevsky
- Yann LeCun
- Ross B. Girshick
- Alex Graves
Who trusts Jena D. Hwang overall
- Tara Safavi
- Aman Madaan
- Yejin Choi
- Yubo Xie
- Ruibo Liu
- Yuling Gu
- Prithviraj Ammanabrolu
- Denis Emelin
- Sharon Levy
- Ronan Le Bras
Papers from Jena D. Hwang's perspective
Ordered by how strongly the researchers Jena D. Hwang 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
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- 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
- Symbolic Knowledge Distillation: from General Language Models to Commonsense Models (2021) — 392 citations
- Back to the Future: Unsupervised Backprop-based Decoding for Counterfactual and Abductive Commonsense Reasoning (2020) — 96 citations
- COMET-ATOMIC 2020: On Symbolic and Neural Commonsense Knowledge Graphs (2020) — 465 citations
- Social Chemistry 101: Learning to Reason about Social and Moral Norms (2020) — 352 citations
- Reflective Decoding: Beyond Unidirectional Generation with Off-the-Shelf Language Models (2020) — 14 citations
- Moral Stories: Situated Reasoning about Norms, Intents, Actions, and their Consequences (2020) — 183 citations
- Thinking Like a Skeptic: Defeasible Inference in Natural Language (2020) — 120 citations
- Faith and Fate: Limits of Transformers on Compositionality (2023) — 650 citations
- The Abduction of Sherlock Holmes: A Dataset for Visual Abductive Reasoning (2022) — 70 citations
- Delphi: Towards Machine Ethics and Norms (2021) — 135 citations