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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 5 Hits 1 – 20 of 81 1 MAGIC DUST FOR CROSS-LINGUAL ADAPTATION OF MONOLINGUAL WAV2VEC-2.0 Khurana, Sameer; Laurent, Antoine; Glass, James In: ICASSP 2022 ; https://hal.archives-ouvertes.fr/hal-03544515 ; ICASSP 2022, May 2022, Singapour, Singapore (2022) BASE Show details 2 Simple and Effective Unsupervised Speech Synthesis ... Liu, Alexander H.; Lai, Cheng-I Jeff; Hsu, Wei-Ning. - : arXiv, 2022 BASE Show details 3 Learning Audio-Video Language Representations Rouditchenko, Andrew. - : Massachusetts Institute of Technology, 2021 BASE Show details 4 Cascaded Multilingual Audio-Visual Learning from Videos ... Rouditchenko, Andrew; Boggust, Angie; Harwath, David. - : arXiv, 2021 BASE Show details 5 Magic dust for cross-lingual adaptation of monolingual wav2vec-2.0 ... Khurana, Sameer; Laurent, Antoine; Glass, James. - : arXiv, 2021 BASE Show details 6 Text-Free Image-to-Speech Synthesis Using Learned Segmental Units ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Glass, James; Harwath, David. - : Underline Science Inc., 2021 BASE Show details 7 Exposure Bias versus Self-Recovery: Are Distortions Really Incremental for Autoregressive Text Generation? ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Glass, James; He, Tianxing. - : Underline Science Inc., 2021 BASE Show details 8 Mitigating Biases in Toxic Language Detection through Invariant Rationalization ... Chuang, Yung-Sung; Gao, Mingye; Luo, Hongyin. - : arXiv, 2021 BASE Show details 9 Mitigating Biases in Toxic Language Detection through Invariant Rationalization ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Chen, Yun-Nung; Chuang, Yung-Sung; Gao, Mingye; Glass, James; Lee, Hung-yi; Li, Shang-Wen; Luo, Hongyin. - : Underline Science Inc., 2021 Abstract: Automatic detection of toxic language plays an essential role in protecting social media users, especially minority groups, from verbal abuse. However, biases toward some attributes, including gender, race, and dialect, exist in most training datasets for toxicity detection. The biases make the learned models unfair and can even exacerbate the marginalization of people. Considering that current debiasing methods for general natural language understanding tasks cannot effectively mitigate the biases in the toxicity detectors, we propose to use invariant rationalization (InvRat), a game-theoretic framework consisting of a rationale generator and a predictor, to rule out the spurious correlation of certain syntactic patterns (e.g., identity mentions, dialect) to toxicity labels. We empirically show that our method yields lower false positive rate in both lexical and dialectal attributes than previous debiasing methods. ... Keyword: Computational Linguistics; Condensed Matter Physics; Deep Learning; Electromagnetism; FOS Physical sciences; Information and Knowledge Engineering; Neural Network; Semantics URL: https://dx.doi.org/10.48448/q9fa-ew67 https://underline.io/lecture/30157-mitigating-biases-in-toxic-language-detection-through-invariant-rationalization BASE Hide details 10 A Convolutional Deep Markov Model for Unsupervised Speech Representation Learning Khurana, Sameer; Laurent, Antoine; Hsu, Wei-Ning... In: Interspeech 2020 ; https://hal.archives-ouvertes.fr/hal-02912029 ; Interspeech 2020, Oct 2020, Shanghai, China (2020) BASE Show details 11 Similarity Analysis of Contextual Word Representation Models ... Wu, John M.; Belinkov, Yonatan; Sajjad, Hassan. - : arXiv, 2020 BASE Show details 12 CSTNet: Contrastive Speech Translation Network for Self-Supervised Speech Representation Learning ... Khurana, Sameer; Laurent, Antoine; Glass, James. - : arXiv, 2020 BASE Show details 13 A Convolutional Deep Markov Model for Unsupervised Speech Representation Learning ... Khurana, Sameer; Laurent, Antoine; Hsu, Wei-Ning. - : arXiv, 2020 BASE Show details 14 What Was Written vs. Who Read It: News Media Profiling Using Text Analysis and Social Media Context ... Baly, Ramy; Karadzhov, Georgi; An, Jisun. - : arXiv, 2020 BASE Show details 15 Vector-Quantized Autoregressive Predictive Coding ... Chung, Yu-An; Tang, Hao; Glass, James. - : arXiv, 2020 BASE Show details 16 Non-Autoregressive Predictive Coding for Learning Speech Representations from Local Dependencies ... Liu, Alexander H.; Chung, Yu-An; Glass, James. - : arXiv, 2020 BASE Show details 17 Improved Speech Representations with Multi-Target Autoregressive Predictive Coding ... Chung, Yu-An; Glass, James. - : arXiv, 2020 BASE Show details 18 Classifying Alzheimer's Disease Using Audio and Text-Based Representations of Speech Haulcy, R'mani(R'mani Symon); Glass, James R In: Frontiers (2020) BASE Show details 19 Identification of digital voice biomarkers for cognitive health Lin, Honghuang; Karjadi, Cody; Ang, Ting F. A.... In: Explor Med (2020) BASE Show details 20 On the Linguistic Representational Power of Neural Machine Translation Models Belinkov, Yonatan; Durrani, Nadir; Dalvi, Fahim... In: Computational Linguistics, Vol 46, Iss 1, Pp 1-52 (2020) (2020) BASE Show details Page: 1 2 3 4 5

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