Stéphane Clinchant
Artificial Intelligence · 2007–2026
A researcher in the Science corpus: 8 papers; trusts 441 researchers and is trusted by 11 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 138 citations into it
- Computer Vision and Pattern Recognition — 78 citations into it; #12,868 of 21,575 by trust here, #18,782 by citations
- Information Retrieval & Search — 69 citations into it; #596 of 1,022 by trust here, #484 by citations
- Natural Language Processing — 55 citations into it; #5,106 of 5,688 by trust here, #4,361 by citations
- Information Systems — 29 citations into it
- Large Language Models — 26 citations into it
- Representation & Self-Supervised Learning — 17 citations into it
- Retrieval-Augmented Generation — 13 citations into it
Whom Stéphane Clinchant trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- David G. Lowe
- Ilya Sutskever
- Florent Perronnin
- Andrew Zisserman
- Diederik P. Kingma
- Alex Krizhevsky
- Ronan Collobert
- Josef Sivic
Who trusts Stéphane Clinchant overall
- Luke Vilnis
- Florent Perronnin
- Hamed Zamani
- Saar Kuzi
- Gonenc Ercan
- Jiafeng Guo
- Benjamin Klein
- Xiaojun Chang
- Guangyou Zhou
- Andrew McCallum
Papers from Stéphane Clinchant's perspective
Ordered by how strongly the researchers Stéphane Clinchant 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
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- XRCE ’ s participation to ImagEval (2007)
- On the use of BERT for Neural Machine Translation (2019) — 99 citations
- SPLADE: Sparse Lexical and Expansion Model for First Stage Ranking (2021) — 611 citations
- On the Challenges and Opportunities of Learned Sparse Retrieval for Code (2026)
- BERGEN: A Benchmarking Library for Retrieval-Augmented Generation (2024)
- SPLADE v2: Sparse Lexical and Expansion Model for Information Retrieval (2021) — 247 citations
- Aggregating Continuous Word Embeddings for Information Retrieval (2013) — 101 citations
- Textual Similarity with a Bag-of-Embedded-Words Model (2013) — 17 citations