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06/28/2023
UnitSpeech: Speaker-adaptive Speech Synthesis with Untranscribed Data
We propose UnitSpeech, a speaker-adaptive speech synthesis method that f...
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06/27/2023
Unsupervised Episode Generation for Graph Meta-learning
In this paper, we investigate Unsupervised Episode Generation methods to...
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05/30/2023
Task-Equivariant Graph Few-shot Learning
Although Graph Neural Networks (GNNs) have been successful in node class...
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04/29/2023
Conditional Graph Information Bottleneck for Molecular Relational Learning
Molecular relational learning, whose goal is to learn the interaction be...
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03/13/2023
Predicting Density of States via Multi-modal Transformer
The density of states (DOS) is a spectral property of materials, which p...
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05/30/2022
Guided-TTS 2: A Diffusion Model for High-quality Adaptive Text-to-Speech with Untranscribed Data
We propose Guided-TTS 2, a diffusion-based generative model for high-qua...
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11/23/2021
Guided-TTS:Text-to-Speech with Untranscribed Speech
Most neural text-to-speech (TTS) models require <speech, transcript> pai...
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10/02/2021
FICGAN: Facial Identity Controllable GAN for De-identification
In this work, we present Facial Identity Controllable GAN (FICGAN) for n...
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09/14/2021
AligNART: Non-autoregressive Neural Machine Translation by Jointly Learning to Estimate Alignment and Translate
Non-autoregressive neural machine translation (NART) models suffer from ...
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08/06/2021
ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models
Denoising diffusion probabilistic models (DDPM) have shown remarkable pe...
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06/11/2020
NanoFlow: Scalable Normalizing Flows with Sublinear Parameter Complexity
Normalizing flows (NFs) have become a prominent method for deep generati...
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05/22/2020
Glow-TTS: A Generative Flow for Text-to-Speech via Monotonic Alignment Search
Recently, text-to-speech (TTS) models such as FastSpeech and ParaNet hav...
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11/06/2018