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04/14/2023
OpenAssistant Conversations – Democratizing Large Language Model Alignment
Aligning large language models (LLMs) with human preferences has proven ...
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01/26/2022
FIGARO: Generating Symbolic Music with Fine-Grained Artistic Control
Generating music with deep neural networks has been an area of active re...
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09/01/2021
Boosting Search Engines with Interactive Agents
Can machines learn to use a search engine as an interactive tool for fin...
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03/23/2021
Generative Minimization Networks: Training GANs Without Competition
Many applications in machine learning can be framed as minimization prob...
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11/11/2019
Meta Answering for Machine Reading
We investigate a framework for machine reading, inspired by real world i...
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06/04/2019
Adversarial Training Generalizes Data-dependent Spectral Norm Regularization
We establish a theoretical link between adversarial training and operato...
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02/13/2019
The Odds are Odd: A Statistical Test for Detecting Adversarial Examples
We investigate conditions under which test statistics exist that can rel...
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11/15/2017
The best defense is a good offense: Countering black box attacks by predicting slightly wrong labels
Black-Box attacks on machine learning models occur when an attacker, des...
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10/31/2017
Parametrizing filters of a CNN with a GAN
It is commonly agreed that the use of relevant invariances as a good sta...
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10/31/2017
Flexible Prior Distributions for Deep Generative Models
We consider the problem of training generative models with deep neural n...
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10/31/2017
Semantic Interpolation in Implicit Models
In implicit models, one often interpolates between sampled points in lat...
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07/28/2017
Generator Reversal
We consider the problem of training generative models with deep neural n...
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11/21/2016