Pierre-Emmanuel Mazaré
Artificial Intelligence · 2011–2024
A researcher in the Science corpus: 9 papers; trusts 164 researchers and is trusted by 62 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 203 citations into it; #3,351 of 35,345 by trust here, #3,091 by citations
- Natural Language Processing — 129 citations into it; #958 of 5,688 by trust here, #784 by citations
- Computer Vision and Pattern Recognition — 92 citations into it
- Signal Processing — 52 citations into it; #2,429 of 7,572 by trust here, #1,255 by citations
- Speech & Audio — 51 citations into it; #593 of 1,076 by trust here, #242 by citations
- Representation & Self-Supervised Learning — 47 citations into it; #1,455 of 3,145 by trust here, #1,301 by citations
- Information Retrieval & Search — 45 citations into it
- Evaluation & Benchmarks — 35 citations into it
Whom Pierre-Emmanuel Mazaré trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Carlos F. Daganzo
- Geoffrey E. Hinton
- Jason Aaron Edward Weston
- Yoshua Bengio
- Diederik P. Kingma
- Ilya Sutskever
- Alex Krizhevsky
- Tomas Mikolov
- Alex Graves
- Yann LeCun
Who trusts Pierre-Emmanuel Mazaré overall
- Kurt Shuster
- Jason Aaron Edward Weston
- Samuel Humeau
- Stephen Roller
- Emily Dinan
- Eric Michael Smith
- Jing Xu
- Da Ju
- Prithviraj Ammanabrolu
- Arthur Szlam
Papers from Pierre-Emmanuel Mazaré's perspective
Ordered by how strongly the researchers Pierre-Emmanuel Mazaré 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- 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)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Learning from Dialogue after Deployment: Feed Yourself, Chatbot! (2019) — 221 citations
- Libri-Light: A Benchmark for ASR with Limited or No Supervision (2019) — 820 citations
- Unsupervised Pretraining Transfers Well Across Languages (2020) — 225 citations
- Training Millions of Personalized Dialogue Agents (2018) — 295 citations
- Data Augmenting Contrastive Learning of Speech Representations in the Time Domain (2020) — 129 citations
- Improving Wikipedia verifiability with AI (2022) — 23 citations
- The Faiss Library (2024) — 768 citations
- Weaver: Deep Co-Encoding of Questions and Documents for Machine Reading (2018) — 20 citations
- Analytical and grid-free solutions to the Lighthill-Whitham-Richards traffic flow model (2011) — 124 citations