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05/30/2023
Likelihood-Based Diffusion Language Models
Despite a growing interest in diffusion-based language models, existing ...
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05/27/2022
Diffusion-LM Improves Controllable Text Generation
Controlling the behavior of language models (LMs) without re-training is...
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07/02/2020
In Search of Lost Domain Generalization
The goal of domain generalization algorithms is to predict well on distr...
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01/10/2020
Towards GAN Benchmarks Which Require Generalization
For many evaluation metrics commonly used as benchmarks for unconditiona...
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07/05/2019
Invariant Risk Minimization
We introduce Invariant Risk Minimization (IRM), a learning paradigm to e...
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02/23/2019
GANSynth: Adversarial Neural Audio Synthesis
Efficient audio synthesis is an inherently difficult machine learning ta...
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03/31/2017
Improved Training of Wasserstein GANs
Generative Adversarial Networks (GANs) are powerful generative models, b...
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12/22/2016
SampleRNN: An Unconditional End-to-End Neural Audio Generation Model
In this paper we propose a novel model for unconditional audio generatio...
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06/24/2015
