← Authors

Nicolas Usunier

34 papers · 2006–2025 · 10 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (7) 🌈 Renaissance Researcher (7) πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (19) πŸ—ΊοΈ Taxonomy Completionist (20) 🌍 Conference Polyglot (10) 🌟 Keyword Trendsetter Combo (13) πŸ‘‘ Triple Crown πŸ† Keyword Champion πŸ† Grand Slam 🌱 Topic Pioneer πŸ—ƒοΈ Keyword Collector (58) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (12) πŸš€ Conference Pioneer πŸ’Ž Century Club (34) ⚑ Prolific Year (5)

Conferences

NIPS (14) ICLR (5) ICML (4) AISTATS (2) EMNLP (2) IJCAI (2) INTERSPEECH (2) AAAI (1) ECCV (1) ICCV (1)

Top co-authors

Gabriel Synnaeve (9) Antoine Bordes (6) Virginie Do (5) Neil Zeghidour (4) Jamal Atif (4) Sam Corbett-Davies (3) Nicolas Carion (3) Jason Weston (3) Zeming Lin (3) Jonas Gehring (2)

Keywords

recommender system (2) multilabel classification (2) curriculum learning (2) encoder-decoder architecture (2) link prediction (2) semi-supervised learning (2) multi-armed bandit (2) multi-agent system (2) online learning (2) binary classification (2) convex optimization (1) ensemble learning (1) domain adaptation (1) structured prediction (1) reinforcement learning (1) dimensionality reduction (1) multi-agent reinforcement learning (1) transductive learning (1) game artificial intelligence (1) image generation (1)

Papers

Data Taggants: Dataset Ownership Verification Via Harmless Targeted Data Poisoning ICLR 2025
Online Certification of Preference-Based Fairness for Personalized Recommender Systems (Extended Abstract) IJCAI 2023
Contextual bandits with concave rewards, and an application to fair ranking ICLR 2023
Online Certification of Preference-Based Fairness for Personalized Recommender Systems AAAI 2022
Gradient Matching for Domain Generalization ICLR 2022
Online Selection of Diverse Committees IJCAI 2021
Two-sided fairness in rankings via Lorenz dominance NIPS 2021
Hierarchical Skills for Efficient Exploration NIPS 2021
On ranking via sorting by estimated expected utility NIPS 2020
Growing Action Spaces ICML 2020
End-to-End Object Detection with Transformers ECCV 2020
Tensor Decompositions for Temporal Knowledge Base Completion ICLR 2020
Fully Parallel Hyperparameter Search: Reshaped Space-Filling ICML 2020
Value Propagation Networks ICLR 2019
A Structured Prediction Approach for Generalization in Cooperative Multi-Agent Reinforcement Learning NIPS 2019
End-to-End Speech Recognition from the Raw Waveform INTERSPEECH 2018
Forward Modeling for Partial Observation Strategy Games - A StarCraft Defogger NIPS 2018
SING: Symbol-to-Instrument Neural Generator NIPS 2018
Canonical Tensor Decomposition for Knowledge Base Completion ICML 2018
Fader Networks:Manipulating Images by Sliding Attributes NIPS 2017
Dense and Low-Rank Gaussian CRFs Using Deep Embeddings ICCV 2017
Parseval Networks: Improving Robustness to Adversarial Examples ICML 2017
Joint Learning of Speaker and Phonetic Similarities with Siamese Networks INTERSPEECH 2016
Composing Relationships with Translations EMNLP 2015
Optimizing F-Measures by Cost-Sensitive Classification NIPS 2014
Translating Embeddings for Modeling Multi-relational Data NIPS 2013
Connecting Language and Knowledge Bases with Embedding Models for Relation Extraction EMNLP 2013
Robust Bloom Filters for Large MultiLabel Classification Tasks NIPS 2013
On the (Non-)existence of Convex, Calibrated Surrogate Losses for Ranking NIPS 2012
Towards Understanding Situated Natural Language AISTATS 2010
Guarantees for Approximate Incremental SVMs AISTATS 2010
Learning from Multiple Partially Observed Views - an Application to Multilingual Text Categorization NIPS 2009
A Transductive Bound for the Voted Classifier with an Application to Semi-supervised Learning NIPS 2008
PAC-Bayes Bounds for the Risk of the Majority Vote and the Variance of the Gibbs Classifier NIPS 2006