Nathan Noiry
10 papers · 2021–2024 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+2 more ↓ Show less ↑
🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (21) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🌈 Renaissance Researcher (5)
❓
The Questioner
💎
Century Club · Bronze
Top co-authors
Research topics
Machine Learning
(7)
Application Areas
(5)
Learning Types
(4)
Core Methods
(3)
Optimization & Theory
(3)
Artificial Intelligence
(2)
Natural Language Processing
(2)
Applications · Natural Language Processing
(2)
Core AI
(2)
Computer Science
(1)
Computer Vision
(1)
Deep Learning
(1)
Mathematics & Optimization
(1)
Analysis
(1)
Applications · Computer Science
(1)
Keywords
ranking aggregation
(2)
benchmark evaluation
(2)
domain adaptation
(1)
semi-supervised learning
(1)
mutual information
(1)
natural language processing
(1)
fair classification
(1)
face recognition
(1)
covariate shift
(1)
risk minimization
(1)
adversarial learning
(1)
semiparametric estimation
(1)
representation learning
(1)
performance metric
(1)
distribution shift
(1)
hidden layer
(1)
greedy algorithm
(1)
random graph
(1)
disentangled representation
(1)
unsupervised learning
(1)
Papers
Towards More Robust NLP System Evaluation: Handling Missing Scores in Benchmarks
EMNLP 2024
A Novel Information Theoretic Objective to Disentangle Representations for Fair Classification
IJCNLP 2023
The Glass Ceiling of Automatic Evaluation in Natural Language Generation
IJCNLP 2023
Toward Stronger Textual Attack Detectors
EMNLP 2023
Beyond Mahalanobis Distance for Textual OOD Detection
NeurIPS 2022
Learning Disentangled Textual Representations via Statistical Measures of Similarity
ACL 2022
Mitigating Gender Bias in Face Recognition using the von Mises-Fisher Mixture Model
ICML 2022
What are the best Systems? New Perspectives on NLP Benchmarking
NeurIPS 2022
Learning from Biased Data: A Semi-Parametric Approach
ICML 2021
Online Matching in Sparse Random Graphs: Non-Asymptotic Performances of Greedy Algorithm
NeurIPS 2021