J. Clark
Artificial Intelligence · with Li · 2011–2023
A researcher in the Science corpus: 9 papers; trusts 106 researchers and is trusted by 122 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 332 citations into it; #29,517 of 35,345 by trust here, #4,298 by citations
- Natural Language Processing — 227 citations into it; #548 of 5,688 by trust here, #648 by citations
- Computer Vision and Pattern Recognition — 109 citations into it
- Evaluation & Benchmarks — 109 citations into it; #695 of 3,147 by trust here, #920 by citations
- Large Language Models — 61 citations into it
- Safety, Robustness & Interpretability — 39 citations into it
- Linguistics — 20 citations into it
- Information Systems — 16 citations into it
Whom J. Clark trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Graves
- Yoshua Bengio
- Geoffrey E. Hinton
- Diederik P. Kingma
- Ilya Sutskever
- Taku Kudo
- Philipp Koehn
- Alex Krizhevsky
- Franz Joseph Och
- Yann LeCun
Who trusts J. Clark overall
- Rico Sennrich
- Julia Kreutzer
- Sebastian Ruder
- Graham Neubig
- Colin Cherry
- Ondrej Bojar
- Lucia Specia
- Tobias Domhan
- Ergun Biçici
- Desmond Elliott
Papers from J. Clark's perspective
Ordered by how strongly the researchers J. Clark 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)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- 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)
Their papers
- PaLM 2 Technical Report (2023) — 1,524 citations
- TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages (2020) — 759 citations
- Canine: Pre-training an Efficient Tokenization-Free Encoder for Language Representation (2021) — 314 citations
- SLAM: A Unified Encoder for Speech and Language Modeling via Speech-Text Joint Pre-Training (2021) — 102 citations
- XTREME-S: Evaluating Cross-lingual Speech Representations (2022) — 27 citations
- Scaling Up Models and Data with t5x and seqio (2022) — 224 citations
- Learning to Recognize Dialect Features (2020) — 43 citations
- Scalable Modified Kneser-Ney Language Model Estimation (2013) — 632 citations
- Better Hypothesis Testing for Statistical Machine Translation: Controlling for Optimizer Instability (2011) — 515 citations