Ishaan Gulrajani | DeepAI

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∙ 05/30/2023

Likelihood-Based Diffusion Language Models

Despite a growing interest in diffusion-based language models, existing ...

0 Ishaan Gulrajani, et al. ∙

∙ 05/27/2022

Diffusion-LM Improves Controllable Text Generation

Controlling the behavior of language models (LMs) without re-training is...

0 Xiang Lisa Li, et al. ∙

∙ 07/02/2020

In Search of Lost Domain Generalization

The goal of domain generalization algorithms is to predict well on distr...

0 Ishaan Gulrajani, et al. ∙

∙ 01/10/2020

Towards GAN Benchmarks Which Require Generalization

For many evaluation metrics commonly used as benchmarks for unconditiona...

0 Ishaan Gulrajani, et al. ∙

∙ 07/05/2019

Invariant Risk Minimization

We introduce Invariant Risk Minimization (IRM), a learning paradigm to e...

1 Martin Arjovsky, et al. ∙

∙ 02/23/2019

GANSynth: Adversarial Neural Audio Synthesis

Efficient audio synthesis is an inherently difficult machine learning ta...

20 Jesse Engel, et al. ∙

∙ 03/31/2017

Improved Training of Wasserstein GANs

Generative Adversarial Networks (GANs) are powerful generative models, b...

0 Ishaan Gulrajani, et al. ∙

∙ 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...

0 Soroush Mehri, et al. ∙

∙ 06/24/2015

Ask Me Anything: Dynamic Memory Networks for Natural Language Processing

Most tasks in natural language processing can be cast into question answ...

0 Ankit Kumar, et al. ∙

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