Zobrazeno 1 - 10
of 154
pro vyhledávání: '"Lin, Tzu Hsiang"'
Recent advancements in dialogue response selection (DRS) are based on the \textit{task-adaptive pre-training (TAP)} approach, by first initializing their model with BERT~\cite{devlin-etal-2019-bert}, and adapt to dialogue data with dialogue-specific
Externí odkaz:
http://arxiv.org/abs/2210.04073
Publikováno v:
In Materials Today Bio October 2024 28
Movie question answering, or MovieQA is a multimedia related task wherein one is provided with a video, the subtitle information, a question and candidate answers for it. The task is to predict the correct answer for the question using the components
Externí odkaz:
http://arxiv.org/abs/2111.09531
Management of narrow directional beams is critical for mm-wave communication systems. Translational or rotational motion of the user can cause misalignment of transmit and receive beams with the base station losing track of the mobile. Reacquiring th
Externí odkaz:
http://arxiv.org/abs/2110.01744
In mm-wave networks, cell sizes are small due to high path and penetration losses. Mobiles need to frequently switch softly from one cell to another to preserve network connections and context. Each soft handover involves the mobile performing direct
Externí odkaz:
http://arxiv.org/abs/2107.08335
Publikováno v:
In Radiation Physics and Chemistry May 2024 218
Directional radio beams are used in the mm-Wave band to combat the high path loss. The mm-Wave band also suffers from high penetration losses from drywall, wood, glass, concrete, etc., and also the human body. Hence, as a mobile user moves, the Line
Externí odkaz:
http://arxiv.org/abs/2104.02658
Autor:
Pham, Hai, Setlur, Amrith, Dingliwal, Saket, Lin, Tzu-Hsiang, Poczos, Barnabas, Huang, Kang, Li, Zhuo, Lim, Jae, McCormack, Collin, Vu, Tam
Despite the advent of deep learning in computer vision, the general handwriting recognition problem is far from solved. Most existing approaches focus on handwriting datasets that have clearly written text and carefully segmented labels. In this pape
Externí odkaz:
http://arxiv.org/abs/2008.08148
In this paper, we present a multimodal dialogue system for Conversational Image Editing. We formulate our multimodal dialogue system as a Partially Observed Markov Decision Process (POMDP) and trained it with Deep Q-Network (DQN) and a user simulator
Externí odkaz:
http://arxiv.org/abs/2002.06484
Natural Language Image Editing (NLIE) aims to use natural language instructions to edit images. Since novices are inexperienced with image editing techniques, their instructions are often ambiguous and contain high-level abstractions that tend to cor
Externí odkaz:
http://arxiv.org/abs/2002.04678