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11/02/2022
Concrete Score Matching: Generalized Score Matching for Discrete Data
Representing probability distributions by the gradient of their density ...
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10/22/2022
LMPriors: Pre-Trained Language Models as Task-Specific Priors
Particularly in low-data regimes, an outstanding challenge in machine le...
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09/28/2022
ButterflyFlow: Building Invertible Layers with Butterfly Matrices
Normalizing flows model complex probability distributions using maps obt...
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07/04/2022
Counterbalancing Teacher: Regularizing Batch Normalized Models for Robustness
Batch normalization (BN) is a ubiquitous technique for training deep neu...
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07/05/2021
Featurized Density Ratio Estimation
Density ratio estimation serves as an important technique in the unsuper...
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06/11/2021
Robust Representation Learning via Perceptual Similarity Metrics
A fundamental challenge in artificial intelligence is learning useful re...
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02/15/2021
Neural Network Compression for Noisy Storage Devices
Compression and efficient storage of neural network (NN) parameters is c...
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12/10/2019
Encoding Musical Style with Transformer Autoencoders
We consider the problem of learning high-level controls over the global ...
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10/26/2019
Fair Generative Modeling via Weak Supervision
Real-world datasets are often biased with respect to key demographic fac...
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02/05/2019
Meta-Amortized Variational Inference and Learning
How can we learn to do probabilistic inference in a way that generalizes...
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11/19/2018