Adaptive Coding of Non-Negative Factorization Parameters with Application to Informed Source Separation M Bläser, C Rohlfing, Y Gao, M Wien 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 3 | 2018 |
Alternating Weak Triphone/BPE Alignment Supervision from Hybrid Model Improves End-to-End ASR J Jiang, Y Gao, M Zeineldeen, Z Tuske arXiv preprint arXiv:2402.15594, 2024 | | 2024 |
ClimateGPT: Towards AI Synthesizing Interdisciplinary Research on Climate Change D Thulke, Y Gao, P Pelser, R Brune, R Jalota, F Fok, M Ramos, I van Wyk, ... arXiv preprint arXiv:2401.09646, 2024 | 6 | 2024 |
Diving Deep into Context-Aware Neural Machine Translation J Huo, C Herold, Y Gao, L Dahlmann, S Khadivi, H Ney arXiv preprint arXiv:2010.09482, 2020 | 29 | 2020 |
Does Joint Training Really Help Cascaded Speech Translation? VA Khoa Tran, D Thulke, Y Gao, C Herold, H Ney arXiv e-prints, arXiv: 2210.13700, 2022 | | 2022 |
Does Joint Training Really Help Cascaded Speech Translation? VAK Tran, D Thulke, Y Gao, C Herold, H Ney arXiv preprint arXiv:2210.13700, 2022 | 3 | 2022 |
Effective Cross-lingual Transfer of Neural Machine Translation Models without Shared Vocabularies Y Kim, Y Gao, H Ney arXiv preprint arXiv:1905.05475, 2019 | 92 | 2019 |
Exploring Kernel Functions in the Softmax Layer for Contextual Word Classification Y Gao, C Herold, W Wang, H Ney arXiv preprint arXiv:1910.12554, 2019 | 4 | 2019 |
Improving Language Model Integration for Neural Machine Translation C Herold, Y Gao, M Zeineldeen, H Ney arXiv preprint arXiv:2306.05077, 2023 | 3 | 2023 |
Improving Neural Language Models with Weight Norm Initialization and Regularization C Herold, Y Gao, H Ney Proceedings of the Third Conference on Machine Translation: Research Papers …, 2018 | 4 | 2018 |
Investigation of Large-Margin Softmax in Neural Language Modeling J Huo, Y Gao, W Wang, R Schlüter, H Ney arXiv preprint arXiv:2005.10089, 2020 | 1 | 2020 |
Is Encoder-Decoder Redundant for Neural Machine Translation? Y Gao, C Herold, Z Yang, H Ney arXiv preprint arXiv:2210.11807, 2022 | 6 | 2022 |
Multi-Agent Mutual Learning at Sentence-Level and Token-Level for Neural Machine Translation B Liao, Y Gao, H Ney Findings of the Association for Computational Linguistics: EMNLP 2020, 1715-1724, 2020 | 6 | 2020 |
On Sampling-Based Training Criteria for Neural Language Modeling Y Gao, D Thulke, A Gerstenberger, KV Tran, R Schlüter, H Ney arXiv preprint arXiv:2104.10507, 2021 | 2 | 2021 |
Predicting and Using Target Length in Neural Machine Translation Z Yang, Y Gao, W Wang, H Ney Proceedings of the 1st Conference of the Asia-Pacific Chapter of the …, 2020 | 13 | 2020 |
Revisiting Checkpoint Averaging for Neural Machine Translation Y Gao, C Herold, Z Yang, H Ney arXiv preprint arXiv:2210.11803, 2022 | 13 | 2022 |
Self-Normalized Importance Sampling for Neural Language Modeling Z Yang, Y Gao, A Gerstenberger, J Jiang, R Schlüter, H Ney arXiv preprint arXiv:2111.06310, 2021 | 1 | 2021 |
The RWTH Aachen University Machine Translation Systems for WMT 2019 J Rosendahl, C Herold, Y Kim, M Graça, W Wang, P Bahar, Y Gao, H Ney Proceedings of the Fourth Conference on Machine Translation (Volume 2 …, 2019 | 5 | 2019 |
Towards a better understanding of label smoothing in neural machine translation Y Gao, W Wang, C Herold, Z Yang, H Ney Proceedings of the 1st Conference of the Asia-Pacific Chapter of the …, 2020 | 33 | 2020 |
Transformer-Based Direct Hidden Markov Model for Machine Translation W Wang, Z Yang, Y Gao, H Ney Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 4 | 2021 |