activity
20222024
most citedEfficient Neural Music Generation

12 citations · 27 across the 7 of their papers we have counts for

collaborators

7 papers

cs.RO20244 cited

Universal Manipulation Interface: In-The-Wild Robot Teaching Without In-The-Wild Robots

Cheng Chi, Zhenjia Xu, Chuer Pan +5

We present Universal Manipulation Interface (UMI) -- a data collection and policy learning framework that allows direct skill transfer from in-the-wild human demonstrations to depl…

cs.SD202312 cited

Efficient Neural Music Generation

Max W. Y. Lam, Qiao Tian, Tang Li +10

Recent progress in music generation has been remarkably advanced by the state-of-the-art MusicLM, which comprises a hierarchy of three LMs, respectively, for semantic, coarse acous…

eess.AS2023

Language-universal phonetic encoder for low-resource speech recognition

Siyuan Feng, Ming Tu, Rui Xia +2

Multilingual training is effective in improving low-resource ASR, which may partially be explained by phonetic representation sharing between languages. In end-to-end (E2E) ASR sys…

eess.AS2023

Language-Universal Phonetic Representation in Multilingual Speech Pretraining for Low-Resource Speech Recognition

Siyuan Feng, Ming Tu, Rui Xia +2

We improve low-resource ASR by integrating the ideas of multilingual training and self-supervised learning. Concretely, we leverage an International Phonetic Alphabet (IPA) multili…

cs.RO20222 cited

Conditional Energy-Based Models for Implicit Policies: The Gap between Theory and Practice

Duy-Nguyen Ta, Eric Cousineau, Huihua Zhao +1

We present our findings in the gap between theory and practice of using conditional energy-based models (EBM) as an implicit representation for behavior-cloned policies. We also cl…

cs.LG20226 cited

A Cross-City Federated Transfer Learning Framework: A Case Study on Urban Region Profiling

Gaode Chen, Yijun Su, Xinghua Zhang +6

Data insufficiency problems (i.e., data missing and label scarcity) caused by inadequate services and infrastructures or imbalanced development levels of cities have seriously affe…