Harm de Vries

3.7k total citations · 1 hit paper
14 papers, 1.1k citations indexed

About

Harm de Vries is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Harm de Vries has authored 14 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 2 papers in Signal Processing. Recurrent topics in Harm de Vries's work include Multimodal Machine Learning Applications (7 papers), Topic Modeling (4 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Harm de Vries is often cited by papers focused on Multimodal Machine Learning Applications (7 papers), Topic Modeling (4 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Harm de Vries collaborates with scholars based in Canada, United Kingdom and United States. Harm de Vries's co-authors include Aaron Courville, Florian Strub, Vincent Dumoulin, Ethan Perez, Yoshua Bengio, Yann Dauphin, Nathan Schucher, Siva Reddy, Kaheer Suleman and Shehzaad Dhuliawala and has published in prestigious journals such as Transactions of the Association for Computational Linguistics, Topology and its Applications and Intelligent Data Analysis.

In The Last Decade

Harm de Vries

13 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

FiLM: Visual Reasoning with a General Conditioning Layer

2018 788 citations Ethan Perez, Florian Strub et al. Proceedings of the AAAI Conference on Artificial Intelligence profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Harm de Vries Canada	7	637	565	162	58	55	14	1.1k
Ethan Perez United States	6	566 0.9×	596 1.1×	163 1.0×	49 0.8×	50 0.9×	12	1.1k
Florian Strub United States	5	574 0.9×	451 0.8×	155 1.0×	47 0.8×	48 0.9×	10	964
Salah Rifai Canada	5	462 0.7×	541 1.0×	130 0.8×	34 0.6×	69 1.3×	7	931
Xavier Muller Canada	5	465 0.7×	540 1.0×	136 0.8×	34 0.6×	68 1.2×	5	931
Kyunghyun Cho United States	16	606 1.0×	973 1.7×	191 1.2×	31 0.5×	84 1.5×	39	1.5k
Olivier Breuleux Canada	5	351 0.6×	434 0.8×	137 0.8×	31 0.5×	25 0.5×	5	874
Arun Mallya United States	13	1.2k 1.8×	716 1.3×	127 0.8×	59 1.0×	72 1.3×	16	1.7k
Andrew Howard United States	8	539 0.8×	493 0.9×	126 0.8×	73 1.3×	25 0.5×	16	1.0k
Christopher Olah United States	3	845 1.3×	497 0.9×	103 0.6×	88 1.5×	56 1.0×	3	1.3k
Xiaodong Gu China	19	741 1.2×	386 0.7×	134 0.8×	36 0.6×	51 0.9×	96	1.2k

Countries citing papers authored by Harm de Vries

Since Specialization

Citations

This map shows the geographic impact of Harm de Vries'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 Harm de Vries with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Harm de Vries more than expected).

Fields of papers citing papers by Harm de Vries

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Harm de Vries. 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 Harm de Vries. The network helps show where Harm de Vries may publish in the future.

Co-authorship network of co-authors of Harm de Vries

This figure shows the co-authorship network connecting the top 25 collaborators of Harm de Vries. A scholar is included among the top collaborators of Harm de Vries 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 Harm de Vries. Harm de Vries is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

14 of 14 papers shown

1.

Vries, Harm de, Arjun Guha, Naman Jain, et al.. (2024). SelfCodeAlign: Self-Alignment for Code Generation. 62787–62874. 1 indexed citations

2.

Reddy, Siva, et al.. (2023). The StatCan Dialogue Dataset: Retrieving Data Tables through Conversations with Genuine Intents. 2799–2829. 1 indexed citations

3.

Dhuliawala, Shehzaad, et al.. (2022). TopiOCQA: Open-domain Conversational Question Answering with Topic Switching. Transactions of the Association for Computational Linguistics. 10. 468–483. 41 indexed citations

4.

Knyazev, B. A., Harm de Vries, Cătălina Cangea, et al.. (2021). Generative Compositional Augmentations for Scene Graph Prediction. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 15807–15817. 16 indexed citations

5.

Vries, Harm de, et al.. (2020). Uni- and multivariate probability density models for numeric subgroup discovery. Intelligent Data Analysis. 24(6). 1403–1439. 2 indexed citations

6.

Knyazev, B. A., Harm de Vries, Cătălina Cangea, et al.. (2020). Graph Density-Aware Losses for Novel Compositions in Scene Graph Generation. 2 indexed citations

7.

Vries, Harm de, Kurt Shuster, Dhruv Batra, et al.. (2018). Talk The Walk: Navigating Grids in New York City through Grounded Dialogue. 2 indexed citations

8.

Dumoulin, Vincent, Ethan Perez, Nathan Schucher, et al.. (2018). Feature-wise transformations. HAL (Le Centre pour la Communication Scientifique Directe). 3(7). 78 indexed citations

9.

Perez, Ethan, Florian Strub, Harm de Vries, Vincent Dumoulin, & Aaron Courville. (2018). FiLM: Visual Reasoning with a General Conditioning Layer. Proceedings of the AAAI Conference on Artificial Intelligence. 32(1). 788 indexed citations breakdown →

10.

Strub, Florian, Harm de Vries, Jérémie Mary, et al.. (2017). End-to-end optimization of goal-driven and visually grounded dialogue systems. 2765–2771. 36 indexed citations

11.

Biehl, Michael, et al.. (2017). Empirical evaluation of gradient methods for matrix learning vector quantization. University of Groningen research database (University of Groningen / Centre for Information Technology). 1–8. 6 indexed citations

12.

Vries, Harm de, Roland Memisevic, & Aaron Courville. (2016). Deep Learning Vector Quantization.. The European Symposium on Artificial Neural Networks. 12 indexed citations

13.

Dow, Alan, et al.. (2016). The Katowice problem and autohomeomorphisms of ω0⁎. Topology and its Applications. 213. 230–237. 1 indexed citations

14.

Dauphin, Yann, Harm de Vries, & Yoshua Bengio. (2015). Equilibrated adaptive learning rates for non-convex optimization. arXiv (Cornell University). 28. 1504–1512. 119 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.

Explore authors with similar magnitude of impact