🧑‍🔬 Yao-Hung Hubert Tsai — all works

32 works · ← Yao-Hung Hubert Tsai

1. HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden UnitsIEEE/ACM Transactions on Audio Speech and Language ProcessingWei-Ning Hsu, Benjamin Bolte, Yao-Hung Hubert Tsai, et al.2021 · 3,458 citations
2. Multimodal Transformer for Unaligned Multimodal Language SequencesAnnual Meeting of the Association for Computational Linguistics (ACL)Yao-Hung Hubert Tsai, Shaojie Bai, Paul Pu Liang, et al.2019 · 2,193 citations
3. Learning Factorized Multimodal Representations ↗arXiv (Cornell University) · no summary yetYao-Hung Hubert Tsai et al.2018 · 286 citations
4. Transformer Dissection: An Unified Understanding for Transformer's Attention via the Lens of Kernel ↗Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · no summary yetYao-Hung Hubert Tsai et al.2019 · 194 citations
5. Learning Cross-Domain Landmarks for Heterogeneous Domain Adaptation ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetYao-Hung Hubert Tsai, Yi-Ren Yeh, Yu-Chiang Frank Wang2016 · 190 citations
6. Learning Robust Visual-Semantic Embeddings ↗IEEE International Conference on Computer Vision (ICCV) · no summary yetYao-Hung Hubert Tsai, Liang-Kang Huang, Ruslan Salakhutdinov2017 · 165 citations
7. Hubert: How Much Can a Bad Teacher Benefit ASR Pre-Training? ↗IEEE International Conference on Acoustics Speech and Signal Processing · no summary yetWei-Ning Hsu et al.2021 · 147 citations
8. Learning Representations from Imperfect Time Series Data via Tensor Rank Regularization ↗Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yetPaul Pu Liang et al.2019 · 109 citations
9. Multimodal Routing: Improving Local and Global Interpretability of Multimodal Language Analysis ↗Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yetYao-Hung Hubert Tsai et al.2020 · 106 citations
10. Video Relationship Reasoning Using Gated Spatio-Temporal Energy Graph ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetYao-Hung Hubert Tsai et al.2019 · 98 citations
11. Improving One-Shot Learning through Fusing Side Information ↗arXiv (Cornell University) · no summary yetYao-Hung Hubert Tsai, Ruslan Salakhutdinov2017 · 48 citations
12. Complex Transformer: A Framework for Modeling Complex-Valued Sequence ↗IEEE International Conference on Acoustics Speech and Signal Processing · no summary yetMuqiao Yang et al.2020 · 42 citations
13. Strong and Simple Baselines for Multimodal Utterance Embeddings ↗Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) · no summary yetPaul Pu Liang et al.2019 · 36 citations
14. Demystifying Self-Supervised Learning: An Information-Theoretical Framework. ↗arXiv (Cornell University) · no summary yetYao-Hung Hubert Tsai et al.2020 · 18 citations
15. Capsules with Inverted Dot-Product Attention Routing ↗arXiv (Cornell University) · no summary yetYao-Hung Hubert Tsai et al.2020 · 17 citations
16. Conditional Contrastive Learning for Improving Fairness in Self-Supervised Learning ↗arXiv (Cornell University) · no summary yetMartin Q. Ma et al.2021 · 14 citations
17. A Note on Connecting Barlow Twins with Negative-Sample-Free Contrastive Learning ↗arXiv (Cornell University) · no summary yetYao-Hung Hubert Tsai et al.2021 · 14 citations
18. "Dependency Bottleneck" in Auto-encoding Architectures: an Empirical Study ↗arXiv (Cornell University) · no summary yetDenny C.-Y. Wu et al.2018 · 12 citations
19. Conditional Contrastive Learning with Kernel ↗arXiv (Cornell University) · no summary yetYao-Hung Hubert Tsai et al.2022 · 10 citations
20. Neural Methods for Point-wise Dependency Estimation ↗arXiv (Cornell University) · no summary yetYao-Hung Hubert Tsai et al.2020 · 10 citations
21. Feature-Robust Optimal Transport for High-Dimensional Data ↗Lecture notes in computer science · no summary yetMathis Petrovich et al.2020 · 9 citations
22. Self-supervised Representation Learning with Relative Predictive Coding ↗arXiv (Cornell University) · no summary yetYao-Hung Hubert Tsai et al.2021 · 8 citations
23. Learning Neural Networks with Adaptive Regularization ↗arXiv (Cornell University) · no summary yetHan Zhao et al.2019 · 8 citations
24. Unsupervised Domain Adaptation for Visual Navigation ↗arXiv (Cornell University) · no summary yetShangda Li et al.2020 · 7 citations
25. Self-Supervised Object Goal Navigation with In-Situ Finetuning ↗IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · no summary yetSo Yeon Min et al.2023 · 5 citations
26. Integrating Auxiliary Information in Self-supervised Learning ↗arXiv (Cornell University) · no summary yetYao-Hung Hubert Tsai et al.2021 · 5 citations
27. LSMI-Sinkhorn: Semi-supervised Squared-Loss Mutual Information Estimation with Optimal Transport. ↗arXiv (Cornell University) · no summary yetYanbin Liu et al.2019 · 4 citations
28. Learning Weakly-Supervised Contrastive Representations ↗arXiv (Cornell University) · no summary yetYao-Hung Hubert Tsai et al.2022 · 2 citations
29. Selecting the Best in GANs Family: a Post Selection Inference Framework ↗arXiv (Cornell University) · no summary yetYao-Hung Hubert Tsai et al.2018 · 2 citations
30. Learning From the Experience of Others: Approximate Empirical Bayes in Neural Networks ↗no summary yetHan Zhao et al.2018 · 2 citations
31. Post Selection Inference with Incomplete Maximum Mean Discrepancy Estimator ↗arXiv (Cornell University) · no summary yetMakoto Yamada et al.2018 · 1 citation
32. Discovering Order in Unordered Datasets: Generative Markov Networks ↗arXiv (Cornell University) · no summary yetYao-Hung Hubert Tsai et al.2017 · 1 citation

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