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05/26/2022
Differentially Private Decoding in Large Language Models
Recent large-scale natural language processing (NLP) systems use a pre-t...
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04/22/2021
Analyzing Monotonic Linear Interpolation in Neural Network Loss Landscapes
Linear interpolation between initial neural network parameters and conve...
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06/18/2020
Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data
Standard causal discovery methods must fit a new model whenever they enc...
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04/16/2020
Shortcut Learning in Deep Neural Networks
Deep learning has triggered the current rise of artificial intelligence ...
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02/13/2020
Cutting out the Middle-Man: Training and Evaluating Energy-Based Models without Sampling
We present a new method for evaluating and training unnormalized density...
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06/04/2019
Conditional Generative Models are not Robust
Class-conditional generative models are an increasingly popular approach...
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04/01/2018
Aggregated Momentum: Stability Through Passive Damping
Momentum is a simple and widely used trick which allows gradient-based o...
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02/13/2018
Neural Relational Inference for Interacting Systems
Interacting systems are prevalent in nature, from dynamical systems in p...
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06/19/2017
Dualing GANs
Generative adversarial nets (GANs) are a promising technique for modelin...
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01/15/2017
Understanding the Effective Receptive Field in Deep Convolutional Neural Networks
We study characteristics of receptive fields of units in deep convolutio...
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05/08/2015
Exploring Models and Data for Image Question Answering
This work aims to address the problem of image-based question-answering ...
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02/10/2015
