Nicolas Usunier
34 papers · 2006–2025 · 10 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (20) π Renaissance Researcher (7) π Interdisciplinary Bridge π£ Hot Topic Early Bird
π
Academic Marathon
(19)
πΊοΈ
Taxonomy Completionist
(20)
π
Conference Polyglot
(10)
π
Keyword Trendsetter Combo
(13)
π
Triple Crown
π
Keyword Champion
π
Grand Slam
π±
Topic Pioneer
ποΈ
Keyword Collector
(58)
π
Trend Setter
π₯
Unstoppable
(12)
π
Conference Pioneer
π
Century Club
(34)
β‘
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
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