Michael Henry Tessler
Artificial Intelligence · 2019–2022
A researcher in the Science corpus: 4 papers; trusts 61 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 118 citations into it
- Natural Language Processing — 62 citations into it
- Computer Vision and Pattern Recognition — 36 citations into it
- Cognitive Science & Psychology — 11 citations into it
- Statistics and Probability — 10 citations into it
- Safety, Robustness & Interpretability — 9 citations into it
- Model Architectures — 8 citations into it
- Evaluation & Benchmarks — 7 citations into it
Whom Michael Henry Tessler trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Geoffrey E. Hinton
- Diederik P. Kingma
- Ilya Sutskever
- Jason Aaron Edward Weston
- Alex Krizhevsky
- Percy Liang
- J. Urgen Schmidhuber
- Yann LeCun
- Alex Graves
Who trusts Michael Henry Tessler overall
Papers from Michael Henry Tessler's perspective
Ordered by how strongly the researchers Michael Henry Tessler 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
- 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
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- 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
- Can language models learn from explanations in context? (2022) — 383 citations
- Fine-tuning language models to find agreement among humans with diverse preferences (2022) — 336 citations
- Improving Coherence and Consistency in Neural Sequence Models with Dual-System, Neuro-Symbolic Reasoning (2021) — 149 citations
- The first crank of the cultural ratchet: Learning and transmitting concepts through language (2019) — 24 citations