Armand Joulin
About
In The Last Decade
Armand Joulin
38 papers receiving 10.2k citations
Hit Papers
Peers
Comparison fields: 5 of 188
- Artificial Intelligence 6.9k
- Computer Vision and Pattern Recognition 3.9k
- Information Systems 1.0k
- Signal Processing 592
- Molecular Biology 517
Countries citing papers authored by Armand Joulin
This map shows the geographic impact of Armand Joulin'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 Armand Joulin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Armand Joulin more than expected).
Fields of papers citing papers by Armand Joulin
This network shows the impact of papers produced by Armand Joulin. 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 Armand Joulin. The network helps show where Armand Joulin may publish in the future.
Co-authorship network of co-authors of Armand Joulin
This figure shows the co-authorship network connecting the top 25 collaborators of Armand Joulin. A scholar is included among the top collaborators of Armand Joulin 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 Armand Joulin. Armand Joulin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 111 | |
| 3 | ResMLP: Feedforward Networks for Image Classification With Data-Efficient Training breakdown → | 444 |
| 4 | Beyond English-Centric Multilingual Machine Translation | 11 |
| 5 | 54 | |
| 6 | Emerging Properties in Self-Supervised Vision Transformers breakdown → | 2519 |
| 7 | Reducing Transformer Depth on Demand with Structured Dropout | 46 |
| 8 | Training with Quantization Noise for Extreme Fixed-Point Compression | 3 |
| 9 | 126 | |
| 10 | CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data | 41 |
| 11 | Unsupervised Hyper-alignment for Multilingual Word Embeddings | 18 |
| 12 | Optimizing the Latent Space of Generative Networks | 50 |
| 13 | Improving Supervised Bilingual Mapping of Word Embeddings. | 1 |
| 14 | Unsupervised learning by predicting Noise | 53 |
| 15 | Fast Linear Model for Knowledge Graph Embeddings. | 2 |
| 16 | 51 | |
| 17 | Efficient softmax approximation for GPUs | 37 |
| 18 | Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks | 70 |
| 19 | Learning Longer Memory in Recurrent Neural Networks | 11 |
| 20 | Efficient Optimization for Discriminative Latent Class Models | 6 |
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.