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07/27/2023
EnSolver: Uncertainty-Aware CAPTCHA Solver Using Deep Ensembles
The popularity of text-based CAPTCHA as a security mechanism to protect ...
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03/16/2023
Learning for Amalgamation: A Multi-Source Transfer Learning Framework For Sentiment Classification
Transfer learning plays an essential role in Deep Learning, which can re...
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02/24/2022
Partitioned Variational Inference: A Framework for Probabilistic Federated Learning
The proliferation of computing devices has brought about an opportunity ...
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10/21/2021
An Empirical Study on GANs with Margin Cosine Loss and Relativistic Discriminator
Generative Adversarial Networks (GANs) have emerged as useful generative...
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02/27/2020
LEEP: A New Measure to Evaluate Transferability of Learned Representations
We introduce a new measure to evaluate the transferability of representa...
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08/21/2019
Transferability and Hardness of Supervised Classification Tasks
We propose a novel approach for estimating the difficulty and transferab...
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08/02/2019
Toward Understanding Catastrophic Forgetting in Continual Learning
We study the relationship between catastrophic forgetting and properties...
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06/04/2019
Bayesian Active Learning With Abstention Feedbacks
We study pool-based active learning with abstention feedbacks where a la...
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05/06/2019
Improving and Understanding Variational Continual Learning
In the continual learning setting, tasks are encountered sequentially. T...
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11/27/2018
Partitioned Variational Inference: A unified framework encompassing federated and continual learning
Variational inference (VI) has become the method of choice for fitting m...
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10/29/2017
Variational Continual Learning
This paper develops variational continual learning (VCL), a simple but g...
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05/23/2017
Bayesian Pool-based Active Learning With Abstention Feedbacks
We study pool-based active learning with abstention feedbacks, where a l...
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05/19/2017
Streaming Sparse Gaussian Process Approximations
Sparse pseudo-point approximations for Gaussian process (GP) models prov...
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05/23/2016