Parametric Nonlinear Regression Models for Dike Monitoring Systems. - Harm de Vries; George Azzopardi; André Koelewijn; Arno J. Knobbe (IDA, 2014)

Equilibrated adaptive learning rates for non-convex optimization. - Yann N. Dauphin; Harm de Vries; Yoshua Bengio (NIPS, 2015)

RMSProp and equilibrated adaptive learning rates for non-convex optimization. - Yann N. Dauphin; Harm de Vries; Junyoung Chung; Yoshua Bengio (CoRR, 2015)

Can deep learning help you find the perfect match? - Harm de Vries; Jason Yosinski (CoRR, 2015)

Deep Learning Vector Quantization. - Harm de Vries; Roland Memisevic; Aaron C. Courville (ESANN, 2016)

Theano: A Python framework for fast computation of mathematical expressions. - Rami Al-Rfou; Guillaume Alain; Amjad Almahairi; Christof Angermüller; Dzmitry Bahdanau; Nicolas Ballas; Frédéric Bastien; Justin Bayer; Anatoly Belikov; Alexander Belopolsky; Yoshua Bengio; Arnaud Bergeron; et al. (CoRR, 2016)

GuessWhat?! Visual Object Discovery through Multi-modal Dialogue. - Harm de Vries; Florian Strub; Sarath Chandar; Olivier Pietquin; Hugo Larochelle; Aaron C. Courville (CVPR, 2017)

End-to-end optimization of goal-driven and visually grounded dialogue systems. - Florian Strub; Harm de Vries; Jérémie Mary; Bilal Piot; Aaron C. Courville; Olivier Pietquin (IJCAI, 2017)

Modulating early visual processing by language. - Harm de Vries; Florian Strub; Jérémie Mary; Hugo Larochelle; Olivier Pietquin; Aaron C. Courville (NIPS, 2017)

Empirical evaluation of gradient methods for matrix learning vector quantization. - Michael LeKander; Michael Biehl; Harm de Vries (WSOM, 2017)

Learning Visual Reasoning Without Strong Priors. - Ethan Perez; Harm de Vries; Florian Strub; Vincent Dumoulin; Aaron C. Courville (CoRR, 2017)

FiLM: Visual Reasoning with a General Conditioning Layer. - Ethan Perez; Florian Strub; Harm de Vries; Vincent Dumoulin; Aaron C. Courville (AAAI, 2018)

Visual Reasoning with Multi-hop Feature Modulation. - Florian Strub; Mathieu Seurin; Ethan Perez; Harm de Vries; Jérémie Mary; Philippe Preux; Aaron C. Courville; Olivier Pietquin (ECCV (5), 2018)

Talk the Walk: Navigating New York City through Grounded Dialogue. - Harm de Vries; Kurt Shuster 001; Dhruv Batra; Devi Parikh; Jason Weston; Douwe Kiela (CoRR, 2018)

Systematic Generalization: What Is Required and Can It Be Learned? - Dzmitry Bahdanau; Shikhar Murty; Michael Noukhovitch; Thien Huu Nguyen; Harm de Vries; Aaron C. Courville (ICLR (Poster), 2019)

CLOSURE: Assessing Systematic Generalization of CLEVR Models. - Harm de Vries; Dzmitry Bahdanau; Shikhar Murty; Aaron C. Courville; Philippe Beaudoin (ViGIL@NeurIPS, 2019)

CLOSURE: Assessing Systematic Generalization of CLEVR Models. - Dzmitry Bahdanau; Harm de Vries; Timothy J. O'Donnell; Shikhar Murty; Philippe Beaudoin; Yoshua Bengio; Aaron C. Courville (CoRR, 2019)

Graph Density-Aware Losses for Novel Compositions in Scene Graph Generation. - Boris Knyazev 001; Harm de Vries; Catalina Cangea; Graham W. Taylor; Aaron C. Courville; Eugene Belilovsky (BMVC, 2020)

Generative Graph Perturbations for Scene Graph Prediction. - Boris Knyazev 001; Harm de Vries; Catalina Cangea; Graham W. Taylor; Aaron C. Courville; Eugene Belilovsky (CoRR, 2020)

Towards Ecologically Valid Research on Language User Interfaces. - Harm de Vries; Dzmitry Bahdanau; Christopher D. Manning (CoRR, 2020)

Uni- and multivariate probability density models for numeric subgroup discovery. - Marvin Meeng; Harm de Vries; Peter A. Flach; Siegfried Nijssen; Arno J. Knobbe (Intell. Data Anal., 2020)

Generative Compositional Augmentations for Scene Graph Prediction. - Boris Knyazev 001; Harm de Vries; Catalina Cangea; Graham W. Taylor; Aaron C. Courville; Eugene Belilovsky (ICCV, 2021)

DuoRAT: Towards Simpler Text-to-SQL Models. - Torsten Scholak; Raymond Li; Dzmitry Bahdanau; Harm de Vries; Chris Pal (NAACL-HLT, 2021)

TopiOCQA: Open-domain Conversational Question Answeringwith Topic Switching. - Vaibhav Adlakha; Shehzaad Dhuliawala; Kaheer Suleman; Harm de Vries; Siva Reddy (CoRR, 2021)

The Power of Prompt Tuning for Low-Resource Semantic Parsing. - Nathan Schucher; Siva Reddy; Harm de Vries (ACL (2), 2022)

TopiOCQA: Open-domain Conversational Question Answering with Topic Switching. - Vaibhav Adlakha; Shehzaad Dhuliawala; Kaheer Suleman; Harm de Vries; Siva Reddy (Trans. Assoc. Comput. Linguistics, 2022)

The StatCan Dialogue Dataset: Retrieving Data Tables through Conversations with Genuine Intents. - Xing Han Lù; Siva Reddy; Harm de Vries (EACL, 2023)

SantaCoder: don't reach for the stars! - Loubna Ben Allal; Raymond Li; Denis Kocetkov; Chenghao Mou; Christopher Akiki; Carlos Muñoz Ferrandis; Niklas Muennighoff; Mayank Mishra; Alex Gu; Manan Dey; Logesh Kumar Umapathi; Carolyn Jane Anderson; et al. (CoRR, 2023)

RepoFusion: Training Code Models to Understand Your Repository. - Disha Shrivastava; Denis Kocetkov; Harm de Vries; Dzmitry Bahdanau; Torsten Scholak (CoRR, 2023)

The BigCode Project Governance Card. - Sean Hughes; Harm de Vries; Jennifer Robinson; Carlos Muñoz Ferrandis; Loubna Ben Allal; Leandro von Werra; Jennifer Ding; Sébastien Paquet; Yacine Jernite (CoRR, 2023)

The Stack: 3 TB of permissively licensed source code. - Denis Kocetkov; Raymond Li; Loubna Ben Allal; Jia Li 015; Chenghao Mou; Yacine Jernite; Margaret Mitchell; Carlos Muñoz Ferrandis; Sean Hughes; Thomas Wolf 008; Dzmitry Bahdanau; Leandro von Werra; et al. (Trans. Mach. Learn. Res., 2023)

StarCoder: may the source be with you! - Raymond Li; Loubna Ben Allal; Yangtian Zi; Niklas Muennighoff; Denis Kocetkov; Chenghao Mou; Marc Marone; Christopher Akiki; Jia Li 015; Jenny Chim; Qian Liu 012; Evgenii Zheltonozhskii; et al. (Trans. Mach. Learn. Res., 2023)

SelfCodeAlign: Self-Alignment for Code Generation. - Yuxiang Wei 003; Federico Cassano; Jiawei Liu 004; Yifeng Ding; Naman Jain; Zachary Mueller; Harm de Vries; Leandro von Werra; Arjun Guha; Lingming Zhang 001 (NeurIPS, 2024)

Astraios: Parameter-Efficient Instruction Tuning Code Large Language Models. - Terry Yue Zhuo; Armel Zebaze; Nitchakarn Suppattarachai; Leandro von Werra; Harm de Vries; Qian Liu 012; Niklas Muennighoff (CoRR, 2024)

BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions. - Terry Yue Zhuo; Minh Chien Vu; Jenny Chim; Han Hu; Wenhao Yu 002; Ratnadira Widyasari; Imam Nur Bani Yusuf; Haolan Zhan; Junda He; Indraneil Paul; Simon Brunner; Chen Gong 005; et al. (CoRR, 2024)