Yao-Hung Tsai

Orcid: 0000-0001-5312-1875

According to our database1, Yao-Hung Tsai authored at least 58 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Efficient Non-Parametric Uncertainty Quantification for Black-Box Large Language Models and Decision Planning.
CoRR, 2024

2023
An Empirical Study of Simplicial Representation Learning with Wasserstein Distance.
CoRR, 2023

Multimodal Large Language Model for Visual Navigation.
CoRR, 2023

Human Following in Mobile Platforms with Person Re-Identification.
CoRR, 2023

Self-Supervised Object Goal Navigation with In-Situ Finetuning.
IROS, 2023

SAFER: Safe Collision Avoidance Using Focused and Efficient Trajectory Search with Reinforcement Learning.
Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

2022
A 0.0067-mm<sup>2</sup> 12-bit 20-MS/s SAR ADC Using Digital Place-and-Route Tools in 40-nm CMOS.
IEEE Trans. Very Large Scale Integr. Syst., 2022

Object Goal Navigation with End-to-End Self-Supervision.
CoRR, 2022

Towards Multimodal Multitask Scene Understanding Models for Indoor Mobile Agents.
CoRR, 2022

Paraphrasing Is All You Need for Novel Object Captioning.
CoRR, 2022

Safe Real-World Reinforcement Learning for Mobile Agent Obstacle Avoidance.
CoRR, 2022

Scale dependant layer for self-supervised nuclei encoding.
CoRR, 2022

Greedy modality selection via approximate submodular maximization.
Proceedings of the Uncertainty in Artificial Intelligence, 2022

Feature-Robust Optimal Transport for High-Dimensional Data.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Paraphrasing Is All You Need for Novel Object Captioning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Conditional Contrastive Learning with Kernel.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Learning Weakly-supervised Contrastive Representations.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Units.
IEEE ACM Trans. Audio Speech Lang. Process., 2021

Integrating Auxiliary Information in Self-supervised Learning.
CoRR, 2021

Conditional Contrastive Learning: Removing Undesirable Information in Self-Supervised Representations.
CoRR, 2021

A Note on Connecting Barlow Twins with Negative-Sample-Free Contrastive Learning.
CoRR, 2021

LSMI-Sinkhorn: Semi-supervised Mutual Information Estimation with Optimal Transport.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Self-supervised Representation Learning with Relative Predictive Coding.
Proceedings of the 9th International Conference on Learning Representations, 2021

Self-supervised Learning from a Multi-view Perspective.
Proceedings of the 9th International Conference on Learning Representations, 2021

Hubert: How Much Can a Bad Teacher Benefit ASR Pre-Training?
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Unsupervised Domain Adaptation for Visual Navigation.
CoRR, 2020

Demystifying Self-Supervised Learning: An Information-Theoretical Framework.
CoRR, 2020

Feature Robust Optimal Transport for High-dimensional Data.
CoRR, 2020

Interpretable Multimodal Routing for Human Multimodal Language.
CoRR, 2020

Neural Methods for Point-wise Dependency Estimation.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Capsules with Inverted Dot-Product Attention Routing.
Proceedings of the 8th International Conference on Learning Representations, 2020

Complex Transformer: A Framework for Modeling Complex-Valued Sequence.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Multimodal Routing: Improving Local and Global Interpretability of Multimodal Language Analysis.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019
Transfer Neural Trees: Semi-Supervised Heterogeneous Domain Adaptation and Beyond.
IEEE Trans. Image Process., 2019

LSMI-Sinkhorn: Semi-supervised Squared-Loss Mutual Information Estimation with Optimal Transport.
CoRR, 2019

Learning Neural Networks with Adaptive Regularization.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

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, 2019

Post Selection Inference with Incomplete Maximum Mean Discrepancy Estimator.
Proceedings of the 7th International Conference on Learning Representations, 2019

Learning Factorized Multimodal Representations.
Proceedings of the 7th International Conference on Learning Representations, 2019

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, 2019

Video Relationship Reasoning Using Gated Spatio-Temporal Energy Graph.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Multimodal Transformer for Unaligned Multimodal Language Sequences.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Learning Representations from Imperfect Time Series Data via Tensor Rank Regularization.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
"Dependency Bottleneck" in Auto-encoding Architectures: an Empirical Study.
CoRR, 2018

Selecting the Best in GANs Family: a Post Selection Inference Framework.
Proceedings of the 6th International Conference on Learning Representations, 2018

2017
Discovering Order in Unordered Datasets: Generative Markov Networks.
CoRR, 2017

Improving One-Shot Learning through Fusing Side Information.
CoRR, 2017

Generative-Discriminative Variational Model for Visual Recognition.
CoRR, 2017

Learning Robust Visual-Semantic Embeddings.
Proceedings of the IEEE International Conference on Computer Vision, 2017

2016
Unsupervised Domain Adaptation With Label and Structural Consistency.
IEEE Trans. Image Process., 2016

Recognizing heterogeneous cross-domain data via generalized joint distribution adaptation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2016

Heterogeneous domain adaptation with label and structure consistency.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Transfer Neural Trees for Heterogeneous Domain Adaptation.
Proceedings of the Computer Vision - ECCV 2016, 2016

Learning Cross-Domain Landmarks for Heterogeneous Domain Adaptation.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Domain-Constraint Transfer Coding for Imbalanced Unsupervised Domain Adaptation.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Unsupervised Domain Adaptation with Imbalanced Cross-Domain Data.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014
Stable pose tracking from a planar target with an analytical motion model in real-time applications.
Proceedings of the IEEE 16th International Workshop on Multimedia Signal Processing, 2014

Person-specific domain adaptation with applications to heterogeneous face recognition.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014


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