no code implementations • 25 Mar 2024 • Tung-Yu Wu, Sheng-Yu Huang, Yu-Chiang Frank Wang
3D visual grounding aims to identify the target object within a 3D point cloud scene referred to by a natural language description.
no code implementations • 29 Nov 2022 • Tsu-Yuan Hsu, Chen-An Li, Tung-Yu Wu, Hung-Yi Lee
In the first stage, SSL is conducted on the large-scale unlabeled corpus to pre-train a small speech model.
1 code implementation • 26 Sep 2022 • Tung-Yu Wu, Chen-An Li, Tzu-Han Lin, Tsu-Yuan Hsu, Hung-Yi Lee
Extensive experiments on speech and non-speech audio datasets are conducted to investigate the representation abilities of our ensemble method and its single constituent model.
no code implementations • 8 Aug 2019 • Tung-Yu Wu, Y. X. Rachel Wang, Wing H. Wong
To further extend the utility of the algorithm to high dimensional settings, we construct a proposal with forward and reverse moves using stochastic gradient and show that the construction leads to reasonable acceptance probabilities.
no code implementations • 20 May 2016 • Bai Jiang, Tung-Yu Wu, Wing H. Wong
In this paper, we establish consistency and convergence rate of CD with annealed learning rate $\eta_t$.
no code implementations • 17 Mar 2016 • Bai Jiang, Tung-Yu Wu, Yifan Jin, Wing H. Wong
\sum_{s=0}^{t-1} \theta_s \right/ t$ as $t \to \infty$ is a consistent estimate for the true parameter $\theta_\star$.
no code implementations • 8 Oct 2015 • Bai Jiang, Tung-Yu Wu, Charles Zheng, Wing H. Wong
Approximate Bayesian Computation (ABC) methods are used to approximate posterior distributions in models with unknown or computationally intractable likelihoods.