most citedTo Explain or Not to Explain: A Study on the Necessity of Explanations for Autonomous Vehicles

31 citations · 40 across the 6 of their papers we have counts for

collaborators

7 papers

cs.SD2021★ 9 cited

AdaSpeech 3: Adaptive Text to Speech for Spontaneous Style

Yuzi Yan, Xu Tan, Bohan Li +6

While recent text to speech (TTS) models perform very well in synthesizing reading-style (e.g., audiobook) speech, it is still challenging to synthesize spontaneous-style speech (e…

cs.CV2021

Effectively Leveraging Attributes for Visual Similarity

Samarth Mishra, Zhongping Zhang, Yuan Shen +3

Measuring similarity between two images often requires performing complex reasoning along different axes (e.g., color, texture, or shape). Insights into what might be important for…

cs.SD2021

AdaSpeech 2: Adaptive Text to Speech with Untranscribed Data

Yuzi Yan, Xu Tan, Bohan Li +4

Text to speech (TTS) is widely used to synthesize personal voice for a target speaker, where a well-trained source TTS model is fine-tuned with few paired adaptation data (speech a…

cs.CL2020

Joint Extraction of Entity and Relation with Information Redundancy Elimination

Yuanhao Shen, Jungang Han

To solve the problem of redundant information and overlapping relations of the entity and relation extraction model, we propose a joint extraction model. This model can directly ex…

stat.ML2020

Generalized Maximum Entropy for Supervised Classification

Santiago Mazuelas, Yuan Shen, Aritz Pérez

The maximum entropy principle advocates to evaluate events' probabilities using a distribution that maximizes entropy among those that satisfy certain expectations' constraints. Su…

cs.AI2020★ 31 cited

To Explain or Not to Explain: A Study on the Necessity of Explanations for Autonomous Vehicles

Yuan Shen, Shanduojiao Jiang, Yanlin Chen +1

Explainable AI, in the context of autonomous systems, like self-driving cars, has drawn broad interests from researchers. Recent studies have found that providing explanations for…

cs.IR2020

Can AI decrypt fashion jargon for you?

Yuan Shen, Shanduojiao Jiang, Muhammad Rizky Wellyanto +1

When people talk about fashion, they care about the underlying meaning of fashion concepts,e.g., style.For example, people ask questions like what features make this dress smart.Ho…