Nathan Noiry
12 papers · 2021–2024 · 6 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+5 more ↓ Show less ↑
🗺️ Taxonomy Completionist (25) 🐝 Cross-Pollinator (11) 🌈 Renaissance Researcher (7) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer
🌍
Conference Polyglot
(6)
🐣
Hot Topic Early Bird
⚡
Prolific Year
(5)
❓
The Questioner
💎
Century Club
(12)
Conferences
NIPS (3)
AACL (2)
EMNLP (2)
ICML (2)
IJCNLP (2)
ACL (1)
Top co-authors
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)
representation learning
(1)
performance metric
(1)
distribution shift
(1)
hidden layer
(1)
greedy algorithm
(1)
random graph
(1)
disentangled representation
(1)
missing data imputation
(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
AACL 2023
A Novel Information Theoretic Objective to Disentangle Representations for Fair Classification
AACL 2023
Toward Stronger Textual Attack Detectors
EMNLP 2023
The Glass Ceiling of Automatic Evaluation in Natural Language Generation
IJCNLP 2023
Beyond Mahalanobis Distance for Textual OOD Detection
NIPS 2022
What are the best Systems? New Perspectives on NLP Benchmarking
NIPS 2022
Mitigating Gender Bias in Face Recognition using the von Mises-Fisher Mixture Model
ICML 2022
Learning Disentangled Textual Representations via Statistical Measures of Similarity
ACL 2022
Online Matching in Sparse Random Graphs: Non-Asymptotic Performances of Greedy Algorithm
NIPS 2021
Learning from Biased Data: A Semi-Parametric Approach
ICML 2021