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Heavy-tailed Representations, Text Polarity Classification & Data
  Augmentation
v1v2 (latest)

Heavy-tailed Representations, Text Polarity Classification & Data Augmentation

Neural Information Processing Systems (NeurIPS), 2020
25 March 2020
Hamid Jalalzai
Pierre Colombo
Chloé Clavel
Éric Gaussier
Giovanna Varni
Emmanuel Vignon
Anne Sabourin
ArXiv (abs)PDFHTML

Papers citing "Heavy-tailed Representations, Text Polarity Classification & Data Augmentation"

18 / 18 papers shown
Trustworthy Machine Learning via Memorization and the Granular Long-Tail: A Survey on Interactions, Tradeoffs, and Beyond
Trustworthy Machine Learning via Memorization and the Granular Long-Tail: A Survey on Interactions, Tradeoffs, and Beyond
Qiongxiu Li
Xiaoyu Luo
Yiyi Chen
Johannes Bjerva
588
8
0
10 Mar 2025
A Novel Information-Theoretic Objective to Disentangle Representations
  for Fair Classification
A Novel Information-Theoretic Objective to Disentangle Representations for Fair ClassificationInternational Joint Conference on Natural Language Processing (IJCNLP), 2023
Pierre Colombo
Nathan Noiry
Guillaume Staerman
Pablo Piantanida
FaMLDRL
319
2
0
21 Oct 2023
Towards More Robust NLP System Evaluation: Handling Missing Scores in
  Benchmarks
Towards More Robust NLP System Evaluation: Handling Missing Scores in BenchmarksConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Anas Himmi
Ekhine Irurozki
Nathan Noiry
Nathan Huet
Pierre Colombo
373
13
0
17 May 2023
On Regression in Extreme Regions
On Regression in Extreme RegionsElectronic Journal of Statistics (EJS), 2023
Nathan Huet
Nathan Huet
Anne Sabourin
393
5
0
06 Mar 2023
Unsupervised Layer-wise Score Aggregation for Textual OOD Detection
Unsupervised Layer-wise Score Aggregation for Textual OOD DetectionAAAI Conference on Artificial Intelligence (AAAI), 2023
Maxime Darrin
Guillaume Staerman
Eduardo Dadalto Camara Gomes
Jackie CK Cheung
Pablo Piantanida
Pierre Colombo
OODD
719
17
0
20 Feb 2023
Rainproof: An Umbrella To Shield Text Generators From
  Out-Of-Distribution Data
Rainproof: An Umbrella To Shield Text Generators From Out-Of-Distribution DataConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Maxime Darrin
Pablo Piantanida
Pierre Colombo
OODD
486
17
0
18 Dec 2022
Beyond Mahalanobis-Based Scores for Textual OOD Detection
Beyond Mahalanobis-Based Scores for Textual OOD Detection
Pierre Colombo
Eduardo Dadalto Camara Gomes
Guillaume Staerman
Nathan Noiry
Pablo Piantanida
OODD
358
5
0
24 Nov 2022
Of Human Criteria and Automatic Metrics: A Benchmark of the Evaluation
  of Story Generation
Of Human Criteria and Automatic Metrics: A Benchmark of the Evaluation of Story GenerationInternational Conference on Computational Linguistics (COLING), 2022
Cyril Chhun
Pierre Colombo
Chloé Clavel
Fabian M. Suchanek
688
74
0
24 Aug 2022
Learning Disentangled Textual Representations via Statistical Measures
  of Similarity
Learning Disentangled Textual Representations via Statistical Measures of SimilarityAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Pierre Colombo
Guillaume Staerman
Nathan Noiry
Pablo Piantanida
FaMLDRL
419
22
0
07 May 2022
NL-Augmenter: A Framework for Task-Sensitive Natural Language
  Augmentation
NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation
Kaustubh D. Dhole
Varun Gangal
Sebastian Gehrmann
Aadesh Gupta
Zhenhao Li
...
Tianbao Xie
Usama Yaseen
Michael A. Yee
J. Zhang
Yue Zhang
478
99
0
06 Dec 2021
InfoLM: A New Metric to Evaluate Summarization & Data2Text Generation
InfoLM: A New Metric to Evaluate Summarization & Data2Text Generation
Pierre Colombo
Chloe Clave
Pablo Piantanida
423
49
0
02 Dec 2021
Beam Search with Bidirectional Strategies for Neural Response Generation
Beam Search with Bidirectional Strategies for Neural Response Generation
Pierre Colombo
Chouchang Yang
Giovanna Varni
Chloé Clavel
385
13
0
07 Oct 2021
Improving Multimodal fusion via Mutual Dependency Maximisation
Improving Multimodal fusion via Mutual Dependency MaximisationConference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Pierre Colombo
E. Chapuis
Matthieu Labeau
Chloé Clavel
324
33
0
31 Aug 2021
Code-switched inspired losses for generic spoken dialog representations
Code-switched inspired losses for generic spoken dialog representationsConference on Empirical Methods in Natural Language Processing (EMNLP), 2021
E. Chapuis
Pierre Colombo
Matthieu Labeau
Chloe Clave
423
13
0
27 Aug 2021
Automatic Text Evaluation through the Lens of Wasserstein Barycenters
Automatic Text Evaluation through the Lens of Wasserstein BarycentersConference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Pierre Colombo
Guillaume Staerman
Chloé Clavel
Pablo Piantanida
522
44
0
27 Aug 2021
A Novel Estimator of Mutual Information for Learning to Disentangle
  Textual Representations
A Novel Estimator of Mutual Information for Learning to Disentangle Textual RepresentationsAnnual Meeting of the Association for Computational Linguistics (ACL), 2021
Pierre Colombo
Chloé Clavel
Pablo Piantanida
AAMLDRL
362
54
0
06 May 2021
Hierarchical Pre-training for Sequence Labelling in Spoken Dialog
Hierarchical Pre-training for Sequence Labelling in Spoken DialogFindings (Findings), 2020
E. Chapuis
Pierre Colombo
Matteo Manica
Matthieu Labeau
Chloé Clavel
503
64
0
23 Sep 2020
Feature Clustering for Support Identification in Extreme Regions
Feature Clustering for Support Identification in Extreme Regions
Hamid Jalalzai
Rémi Leluc
255
2
0
13 Aug 2020
1
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