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12/22/2022
EuclidNets: An Alternative Operation for Efficient Inference of Deep Learning Models
With the advent of deep learning application on edge devices, researcher...
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10/21/2022
Score-based Denoising Diffusion with Non-Isotropic Gaussian Noise Models
Generative models based on denoising diffusion techniques have led to an...
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10/03/2022
A Reproducible and Realistic Evaluation of Partial Domain Adaptation Methods
Unsupervised Domain Adaptation (UDA) aims at classifying unlabeled targe...
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03/01/2022
On the Generalization of Representations in Reinforcement Learning
In reinforcement learning, state representations are used to tractably d...
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06/15/2021
Multi-Resolution Continuous Normalizing Flows
Recent work has shown that Neural Ordinary Differential Equations (ODEs)...
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06/07/2021
Improved Predictive Uncertainty using Corruption-based Calibration
We propose a simple post hoc calibration method to estimate the confiden...
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06/07/2021
Bias Mitigation of Face Recognition Models Through Calibration
Face recognition models suffer from bias: for example, the probability o...
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08/05/2019
A principled approach for generating adversarial images under non-smooth dissimilarity metrics
Deep neural networks are vulnerable to adversarial perturbations: small ...
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08/01/2019
A Partial Differential Equation Obstacle Problem for the Level Set Approach to Visibility
In this article we consider the problem of finding the visibility set fr...
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10/01/2018
Improved robustness to adversarial examples using Lipschitz regularization of the loss
Adversarial training is an effective method for improving robustness to ...
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10/21/2017
Stochastic Backward Euler: An Implicit Gradient Descent Algorithm for k-means Clustering
In this paper, we propose an implicit gradient descent algorithm for the...
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07/03/2017
