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09/12/2023
CleanUNet 2: A Hybrid Speech Denoising Model on Waveform and Spectrogram
In this work, we present CleanUNet 2, a speech denoising model that comb...
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08/15/2023
RAVEN: In-Context Learning with Retrieval Augmented Encoder-Decoder Language Models
In this paper, we investigate the in-context learning ability of retriev...
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05/03/2023
Defending against Insertion-based Textual Backdoor Attacks via Attribution
Textual backdoor attack, as a novel attack model, has been shown to be e...
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04/13/2023
Shall We Pretrain Autoregressive Language Models with Retrieval? A Comprehensive Study
Large decoder-only language models (LMs) can be largely improved in term...
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03/02/2023
Defending against Adversarial Audio via Diffusion Model
Deep learning models have been widely used in commercial acoustic system...
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02/09/2023
Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioning
Augmenting pretrained language models (LMs) with a vision encoder (e.g.,...
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10/25/2022
Evaluating Parameter Efficient Learning for Generation
Parameter efficient learning methods (PERMs) have recently gained signif...
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06/09/2022
BigVGAN: A Universal Neural Vocoder with Large-Scale Training
Despite recent progress in generative adversarial network(GAN)-based voc...
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06/09/2022
Factuality Enhanced Language Models for Open-Ended Text Generation
Pretrained language models (LMs) are susceptible to generate text with n...
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03/16/2022
Multi-Stage Prompting for Knowledgeable Dialogue Generation
Existing knowledge-grounded dialogue systems typically use finetuned ver...
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02/15/2022
Speech Denoising in the Waveform Domain with Self-Attention
In this work, we present CleanUNet, a causal speech denoising model on t...
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02/08/2022
Exploring the Limits of Domain-Adaptive Training for Detoxifying Large-Scale Language Models
Pre-trained language models (LMs) are shown to easily generate toxic lan...
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08/23/2021
One TTS Alignment To Rule Them All
Speech-to-text alignment is a critical component of neural textto-speech...
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07/05/2021
Long-Short Transformer: Efficient Transformers for Language and Vision
Transformers have achieved success in both language and vision domains. ...
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05/31/2021
On Fast Sampling of Diffusion Probabilistic Models
In this work, we propose FastDPM, a unified framework for fast sampling ...
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01/02/2021
End-to-End Training of Neural Retrievers for Open-Domain Question Answering
Recent work on training neural retrievers for open-domain question answe...
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10/20/2020
Local Knowledge Powered Conversational Agents
State-of-the-art conversational agents have advanced significantly in co...
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09/21/2020
DiffWave: A Versatile Diffusion Model for Audio Synthesis
In this work, we propose DiffWave, a versatile Diffusion probabilistic m...
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12/03/2019
WaveFlow: A Compact Flow-based Model for Raw Audio
In this work, we present WaveFlow, a small-footprint generative flow for...
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07/09/2019
Multi-Speaker End-to-End Speech Synthesis
In this work, we extend ClariNet (Ping et al., 2019), a fully end-to-end...
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05/21/2019
Parallel Neural Text-to-Speech
In this work, we propose a non-autoregressive seq2seq model that convert...
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08/27/2018
Large Margin Neural Language Model
We propose a large margin criterion for training neural language models....
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07/19/2018
ClariNet: Parallel Wave Generation in End-to-End Text-to-Speech
In this work, we propose an alternative solution for parallel wave gener...
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06/19/2018
Cancer Metastasis Detection With Neural Conditional Random Field
Breast cancer diagnosis often requires accurate detection of metastasis ...
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02/14/2018
Neural Voice Cloning with a Few Samples
Voice cloning is a highly desired feature for personalized speech interf...
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12/28/2017
Topic Compositional Neural Language Model
We propose a Topic Compositional Neural Language Model (TCNLM), a novel ...
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10/20/2017
Deep Voice 3: Scaling Text-to-Speech with Convolutional Sequence Learning
We present Deep Voice 3, a fully-convolutional attention-based neural te...
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10/20/2017
Deep Voice 3: 2000-Speaker Neural Text-to-Speech
We present Deep Voice 3, a fully-convolutional attention-based neural te...
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10/15/2017
Learning Infinite RBMs with Frank-Wolfe
In this work, we propose an infinite restricted Boltzmann machine (RBM),...
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05/24/2017
Deep Voice 2: Multi-Speaker Neural Text-to-Speech
We introduce a technique for augmenting neural text-to-speech (TTS) with...
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03/02/2017
Belief Propagation in Conditional RBMs for Structured Prediction
Restricted Boltzmann machines (RBMs) and conditional RBMs (CRBMs) are po...
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11/09/2015
