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Multilingual Language Model Adaptive Fine-Tuning: A Study on African Languages ...
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Preventing author profiling through zero-shot multilingual back-translation
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In: 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP) ; https://hal.inria.fr/hal-03350906 ; 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP), Nov 2021, Punta Cana, Dominica (2021)
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On the effect of normalization layers on Differentially Private training of deep Neural networks
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In: https://hal.inria.fr/hal-03475600 ; 2021 (2021)
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Abstract:
Differentially private stochastic gradient descent (DPSGD) is a variation of stochastic gradient descent based on the Differential Privacy (DP) paradigm, which can mitigate privacy threats that arise from the presence of sensitive information in training data. However, one major drawback of training deep neural networks with DPSGD is a reduction in the models accuracy. In this paper, we study the effect of normalization layers on the performance of DPSGD. We demonstrate that normalization layers significantly impact the utility of deep neural networks with noisy parameters and should be considered essential ingredients of training with DPSGD. In particular, we propose a novel method for integrating batch normalization with DPSGD without incurring an additional privacy loss. With our approach, we are able to train deeper networks and achieve a better utility-privacy trade-off.
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Keyword:
[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing
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URL: https://hal.inria.fr/hal-03475600
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Adapting Language Models When Training on Privacy-Transformed Data
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In: INTERSPEECH 2021 ; https://hal.inria.fr/hal-03189354 ; 2021 (2021)
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Do Acoustic Word Embeddings Capture Phonological Similarity? An Empirical Study ...
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ANEA: Distant Supervision for Low-Resource Named Entity Recognition ...
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Integrating Unsupervised Data Generation into Self-Supervised Neural Machine Translation for Low-Resource Languages ...
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Preventing Author Profiling through Zero-Shot Multilingual Back-Translation ...
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Modeling Profanity and Hate Speech in Social Media with Semantic Subspaces ...
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Exploring the Potential of Lexical Paraphrases for Mitigating Noise-Induced Comprehension Errors ...
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On the Correlation of Context-Aware Language Models With the Intelligibility of Polish Target Words to Czech Readers
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In: Front Psychol (2021)
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Transfer learning and distant supervision for multilingual Transformer models: A study on African languages
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In: 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) ; https://hal.inria.fr/hal-03350901 ; 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), Nov 2020, Punta Cana, Dominica (2020)
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Distant supervision and noisy label learning for low resource named entity recognition: A study on Hausa and Yorùbá
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In: ICLR Workshops (AfricaNLP & PML4DC 2020) ; https://hal.archives-ouvertes.fr/hal-03359111 ; ICLR Workshops (AfricaNLP & PML4DC 2020), Apr 2020, Addis Ababa, Ethiopia (2020)
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Transfer Learning and Distant Supervision for Multilingual Transformer Models: A Study on African Languages ...
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Rediscovering the Slavic Continuum in Representations Emerging from Neural Models of Spoken Language Identification ...
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On the Interplay Between Fine-tuning and Sentence-level Probing for Linguistic Knowledge in Pre-trained Transformers ...
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A Closer Look at Linguistic Knowledge in Masked Language Models: The Case of Relative Clauses in American English ...
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A Closer Look at Linguistic Knowledge in Masked Language Models: The Case of Relative Clauses in American English ...
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