R. Kurzweil
Artificial Intelligence · 2004–2022
A researcher in the Science corpus: 13 papers; trusts 86 researchers and is trusted by 31 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 249 citations into it; #7,666 of 35,345 by trust here, #1,420 by citations
- Natural Language Processing — 227 citations into it; #1,376 of 5,688 by trust here, #337 by citations
- Computer Vision and Pattern Recognition — 65 citations into it
- Evaluation & Benchmarks — 48 citations into it
- Large Language Models — 35 citations into it
- Representation & Self-Supervised Learning — 33 citations into it; #2,262 of 3,145 by trust here, #602 by citations
- Model Architectures — 29 citations into it
- Optimization & Training — 6 citations into it
Whom R. Kurzweil trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Oriol Vinyals
- Ilya Sutskever
- Geoffrey E. Hinton
- Quoc V. Le
- Sepp Hochreiter
- J. Urgen Schmidhuber
- Alex Graves
- Tomas Mikolov
- Diederik P. Kingma
Who trusts R. Kurzweil overall
- J. Urgen Schmidhuber
- Oriol Vinyals
- Matthew Henderson
- Glenn Lyons
- Claudia Löbbecke
- John David N. Dionisio
- Brian Strope
- Yinfei Yang
- Jianfeng Gao
- Holger Schwenk
Papers from R. Kurzweil's perspective
Ordered by how strongly the researchers R. Kurzweil trusts endorse each paper. Same corpus, a different order for every researcher.
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- 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)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
Their papers
- LaMDA: Language Models for Dialog Applications (2022) — 1,891 citations
- Universal Sentence Encoder (2018) — 2,093 citations
- Generating High-Quality and Informative Conversation Responses with Sequence-to-Sequence Models (2017) — 218 citations
- Learning Semantic Textual Similarity from Conversations (2018) — 167 citations
- Multilingual Universal Sentence Encoder for Semantic Retrieval (2019) — 534 citations
- Universal Sentence Encoder for English (2018) — 1,019 citations
- Efficient Natural Language Response Suggestion for Smart Reply (2017) — 514 citations
- Effective Parallel Corpus Mining using Bilingual Sentence Embeddings (2018) — 115 citations
- Improving Multilingual Sentence Embedding using Bi-directional Dual Encoder with Additive Margin Softmax (2019) — 124 citations
- Conversational Contextual Cues: The Case of Personalization and History for Response Ranking (2016) — 93 citations
- Generating Long and Diverse Responses with Neural Conversation Models (2017) — 65 citations
- How to Create a Mind: The Secret of Human Thought Revealed (2012) — 329 citations
- The Law of Accelerating Returns (2004) — 189 citations