11 citations · 18 across the 3 of their papers we have counts for
5 papers
DExperts: Decoding-Time Controlled Text Generation with Experts and Anti-Experts
Alisa Liu, Maarten Sap, Ximing Lu +4
Despite recent advances in natural language generation, it remains challenging to control attributes of generated text. We propose DExperts: Decoding-time Experts, a decoding-time…
Incorporating Music Knowledge in Continual Dataset Augmentation for Music Generation
Alisa Liu, Alexander Fang, Gaëtan Hadjeres +2
Deep learning has rapidly become the state-of-the-art approach for music generation. However, training a deep model typically requires a large training set, which is often not avai…
Bach or Mock? A Grading Function for Chorales in the Style of J.S. Bach
Alexander Fang, Alisa Liu, Prem Seetharaman +1
Deep generative systems that learn probabilistic models from a corpus of existing music do not explicitly encode knowledge of a musical style, compared to traditional rule-based sy…
Model selection for deep audio source separation via clustering analysis
Alisa Liu, Prem Seetharaman, Bryan Pardo
Audio source separation is the process of separating a mixture (e.g. a pop band recording) into isolated sounds from individual sources (e.g. just the lead vocals). Deep learning m…
Multi-sense Definition Modeling using Word Sense Decompositions
Ruimin Zhu, Thanapon Noraset, Alisa Liu +2
Word embeddings capture syntactic and semantic information about words. Definition modeling aims to make the semantic content in each embedding explicit, by outputting a natural la…