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Pablo Piantanida

40 papers · 2020–2026 · 15 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (14) πŸƒ Academic Marathon (5) 🐝 Cross-Pollinator (14) 🌈 Renaissance Researcher (8) πŸ—ΊοΈ Taxonomy Completionist (63) πŸ‘‘ Triple Crown 🀝 Dynamic Duo (14) πŸ† Keyword Champion (3) πŸ† Grand Slam πŸ’Ž Century Club (39) ⚑ Prolific Year (7) ❓ The Questioner (2) πŸ—ƒοΈ Keyword Collector (154) πŸ”₯ Unstoppable (6)

Conferences

ACL (8) EMNLP (6) NIPS (5) AAAI (3) CVPR (3) IJCNLP (3) AACL (2) ICLR (2) ICML (2) AISTATS (1) COLING (1) EACL (1) ECCV (1) JMLR (1) MIDL (1)

Top co-authors

Pierre Colombo (14) Guillaume Staerman (7) Malik Boudiaf (7) Ismail Ben Ayed (7) Nathan Noiry (7) Maxime DARRIN (6) Georg Pichler (5) ChloΓ© Clavel (4) Marco Romanelli (4) Philippe FORMONT (3)

Research topics

Privacy (1)

Keywords

mutual information (6) transductive inference (5) few-shot learning (5) text classification (4) disentangled representation (4) out-of-distribution detection (3) unsupervised learning (3) summarization evaluation (3) representation learning (3) fair classification (3) rational speech act (3) pragmatic reasoning (2) zero-shot detection (2) information theory (2) domain adaptation (2) optimal transport (2) variational inference (2) semantic segmentation (2) text generation (2) renyi divergence (2)

Papers

QueStER: Query Specification for Generative Keyword-Based Retrieval EACL 2026
(RSA)Β²: A Rhetorical-Strategy-Aware Rational Speech Act Framework for Figurative Language Understanding ACL 2025
Statistical Deficiency for Task Inclusion Estimation ACL 2025
Collaborative Rational Speech Act: Pragmatic Reasoning for Multi-Turn Dialog EMNLP 2025
Fundamental Limits of Membership Inference Attacks on Machine Learning Models JMLR 2025
MOSAIC at GENAI Detection Task 3 : Zero-Shot Detection Using an Ensemble of Models COLING 2025
MOSAIC: Multiple Observers Spotting AI Content ACL 2025
How Sampling Affects the Detectability of Machine-written texts: A Comprehensive Study EMNLP 2025
A Data-Driven Measure of Relative Uncertainty for Misclassification Detection ICLR 2024
Beyond the Norms: Detecting Prediction Errors in Regression Models ICML 2024
Unsupervised Layer-Wise Score Aggregation for Textual OOD Detection AAAI 2024
COSMIC: Mutual Information for Task-Agnostic Summarization Evaluation ACL 2024
GLIMPSE: Pragmatically Informative Multi-Document Summarization for Scholarly Reviews ACL 2024
Optimal Zero-Shot Detector for Multi-Armed Attacks AISTATS 2024
When is an Embedding Model More Promising than Another? NIPS 2024
The Glass Ceiling of Automatic Evaluation in Natural Language Generation AACL 2023
Transductive Learning for Textual Few-Shot Classification in API-based Embedding Models EMNLP 2023
RainProof: An Umbrella to Shield Text Generator from Out-Of-Distribution Data EMNLP 2023
A Novel Information Theoretic Objective to Disentangle Representations for Fair Classification IJCNLP 2023
Optimal Transport for Unsupervised Hallucination Detection in Neural Machine Translation ACL 2023
Toward Stronger Textual Attack Detectors EMNLP 2023
A Novel Information Theoretic Objective to Disentangle Representations for Fair Classification AACL 2023
Open-Set Likelihood Maximization for Few-Shot Learning CVPR 2023
The Glass Ceiling of Automatic Evaluation in Natural Language Generation IJCNLP 2023
On the Impossibility of Non-trivial Accuracy in Presence of Fairness Constraints AAAI 2022
A Differential Entropy Estimator for Training Neural Networks ICML 2022
InfoLM: A New Metric to Evaluate Summarization & Data2Text Generation AAAI 2022
Leveraging Adversarial Examples To Quantify Membership Information Leakage CVPR 2022
Igeood: An Information Geometry Approach to Out-of-Distribution Detection ICLR 2022
Learning Disentangled Textual Representations via Statistical Measures of Similarity ACL 2022
Beyond Mahalanobis Distance for Textual OOD Detection NIPS 2022
Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need? CVPR 2021
DOCTOR: A Simple Method for Detecting Misclassification Errors NIPS 2021
Realistic evaluation of transductive few-shot learning NIPS 2021
A Novel Estimator of Mutual Information for Learning to Disentangle Textual Representations ACL 2021
Automatic Text Evaluation through the Lens of Wasserstein Barycenters EMNLP 2021
A Novel Estimator of Mutual Information for Learning to Disentangle Textual Representations IJCNLP 2021
A unifying mutual information view of metric learning: cross-entropy vs. pairwise losses ECCV 2020
On Direct Distribution Matching for Adapting Segmentation Networks MIDL 2020
Information Maximization for Few-Shot Learning NIPS 2020