Antoine Bordes

24.4k total citations · 4 hit papers
23 papers, 3.3k citations indexed

About

Antoine Bordes is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Antoine Bordes has authored 23 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 2 papers in Molecular Biology. Recurrent topics in Antoine Bordes's work include Topic Modeling (18 papers), Natural Language Processing Techniques (14 papers) and Advanced Graph Neural Networks (7 papers). Antoine Bordes is often cited by papers focused on Topic Modeling (18 papers), Natural Language Processing Techniques (14 papers) and Advanced Graph Neural Networks (7 papers). Antoine Bordes collaborates with scholars based in Israel, France and United States. Antoine Bordes's co-authors include Jason Weston, Adam Fisch, Danqi Chen, Alexis Conneau, Holger Schwenk, Douwe Kiela, Loïc Barrault, Sumit Chopra, Yoshua Bengio and Xavier Glorot and has published in prestigious journals such as BMC Bioinformatics, Machine Learning and Journal of Artificial Intelligence Research.

In The Last Decade

Antoine Bordes

23 papers receiving 3.1k citations

Hit Papers

Supervised Learning of Universal Sentence Representations... 2013 2026 2017 2021 2017 2017 2013 2014 250 500 750 1000

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Antoine Bordes Israel 16 3.1k 812 442 222 157 23 3.3k
Chengqing Zong China 30 3.4k 1.1× 894 1.1× 388 0.9× 107 0.5× 149 0.9× 249 3.9k
Benjamin Van Durme United States 33 3.7k 1.2× 620 0.8× 569 1.3× 129 0.6× 149 0.9× 186 4.1k
Lidong Bing China 31 4.5k 1.5× 541 0.7× 767 1.7× 208 0.9× 85 0.5× 154 5.1k
Huanbo Luan China 27 2.8k 0.9× 1.1k 1.4× 507 1.1× 321 1.4× 163 1.0× 75 3.6k
Nathanael Chambers United States 23 2.6k 0.8× 340 0.4× 321 0.7× 188 0.8× 179 1.1× 46 2.8k
Kevin Gimpel United States 22 2.4k 0.8× 395 0.5× 302 0.7× 81 0.4× 158 1.0× 81 2.8k
Nanyun Peng United States 29 2.9k 1.0× 826 1.0× 276 0.6× 159 0.7× 215 1.4× 152 3.5k
Baobao Chang China 26 2.5k 0.8× 542 0.7× 346 0.8× 164 0.7× 130 0.8× 110 2.8k
Gabor Angeli United States 12 2.8k 0.9× 534 0.7× 320 0.7× 138 0.6× 174 1.1× 16 3.0k
Daniel Cer United States 26 3.6k 1.2× 641 0.8× 398 0.9× 64 0.3× 225 1.4× 42 4.0k

Countries citing papers authored by Antoine Bordes

Since Specialization
Citations

This map shows the geographic impact of Antoine Bordes's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Antoine Bordes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antoine Bordes more than expected).

Fields of papers citing papers by Antoine Bordes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Antoine Bordes. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Antoine Bordes. The network helps show where Antoine Bordes may publish in the future.

Co-authorship network of co-authors of Antoine Bordes

This figure shows the co-authorship network connecting the top 25 collaborators of Antoine Bordes. A scholar is included among the top collaborators of Antoine Bordes based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Antoine Bordes. Antoine Bordes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Fan, Angela, Claire Gardent, Chloé Braud, & Antoine Bordes. (2021). Augmenting Transformers with KNN-Based Composite Memory for Dialog. Transactions of the Association for Computational Linguistics. 9. 82–99. 26 indexed citations
2.
Fan, Angela, Aleksandra Piktus, Fabio Petroni, et al.. (2020). Generating Fact Checking Briefs. 7147–7161. 21 indexed citations
3.
Alva-Manchego, Fernando, et al.. (2020). ASSET: A Dataset for Tuning and Evaluation of Sentence Simplification Models with Multiple Rewriting Transformations. White Rose Research Online (University of Leeds, The University of Sheffield, University of York). 4668–4679. 3 indexed citations
4.
Shuster, Kurt, Samuel Humeau, Antoine Bordes, & Jason Weston. (2018). Engaging Image Chat: Modeling Personality in Grounded Dialogue.. arXiv (Cornell University). 7 indexed citations
5.
Mazaré, Pierre-Emmanuel, et al.. (2018). Training Millions of Personalized Dialogue Agents. 2775–2779. 104 indexed citations
6.
Wu, Ledell, Adam Fisch, Sumit Chopra, et al.. (2018). StarSpace: Embed All The Things!. Proceedings of the AAAI Conference on Artificial Intelligence. 32(1). 71 indexed citations
7.
Conneau, Alexis, Douwe Kiela, Holger Schwenk, Loïc Barrault, & Antoine Bordes. (2017). Supervised Learning of Universal Sentence Representations from Natural\n Language Inference Data. arXiv (Cornell University). 1002 indexed citations breakdown →
8.
Chen, Danqi, Adam Fisch, Jason Weston, & Antoine Bordes. (2017). Reading Wikipedia to Answer Open-Domain Questions. 1870–1879. 803 indexed citations breakdown →
9.
Weston, Jason, Antoine Bordes, Sumit Chopra, et al.. (2016). Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks. International Conference on Learning Representations. 70 indexed citations
10.
Hill, Felix, Antoine Bordes, Sumit Chopra, & Jason Weston. (2016). The Goldilocks Principle: Reading Children's Books with Explicit Memory Representations. arXiv (Cornell University). 144 indexed citations
11.
García-Durán, Alberto, Antoine Bordes, Nicolas Usunier, & Yves Grandvalet. (2016). Combining Two and Three-Way Embedding Models for Link Prediction in Knowledge Bases. Journal of Artificial Intelligence Research. 55. 715–742. 25 indexed citations
12.
Henaff, Mikael, Jason Weston, Arthur Szlam, Antoine Bordes, & Yann LeCun. (2016). Tracking the World State with Recurrent Entity Networks. arXiv (Cornell University). 70 indexed citations
13.
García-Durán, Alberto, Antoine Bordes, & Nicolas Usunier. (2015). Composing Relationships with Translations. HAL (Le Centre pour la Communication Scientifique Directe). 286–290. 48 indexed citations
14.
Liu, Xiao, Antoine Bordes, & Yves Grandvalet. (2015). Extracting biomedical events from pairs of text entities. BMC Bioinformatics. 16(S10). S8–S8. 2 indexed citations
15.
Bordes, Antoine, Sumit Chopra, & Jason Weston. (2014). Question Answering with Subgraph Embeddings. 615–620. 390 indexed citations breakdown →
16.
Bordes, Antoine & Evgeniy Gabrilovich. (2014). Constructing and mining web-scale knowledge graphs. 1967–1967. 31 indexed citations
17.
Weston, Jason, Antoine Bordes, Oksana Yakhnenko, & Nicolas Usunier. (2013). Connecting Language and Knowledge Bases with Embedding Models for Relation Extraction. arXiv (Cornell University). 1366–1371. 16 indexed citations
18.
Mesnil, Grégoire, Antoine Bordes, Jason Weston, Gal Chechik, & Yoshua Bengio. (2013). Learning semantic representations of objects and their parts. Machine Learning. 94(2). 281–301. 4 indexed citations
19.
Bordes, Antoine, Xavier Glorot, Jason Weston, & Yoshua Bengio. (2013). A semantic matching energy function for learning with multi-relational data. Machine Learning. 94(2). 233–259. 416 indexed citations breakdown →
20.
Bordes, Antoine, Léon Bottou, Ronan Collobert, et al.. (2013). Introduction to the special issue on learning semantics. Machine Learning. 94(2). 127–131. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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