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05/26/2023
Three Towers: Flexible Contrastive Learning with Pretrained Image Models
We introduce Three Towers (3T), a flexible method to improve the contras...
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03/03/2023
When does Privileged Information Explain Away Label Noise?
Leveraging privileged information (PI), or features available during tra...
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01/30/2023
Massively Scaling Heteroscedastic Classifiers
Heteroscedastic classifiers, which learn a multivariate Gaussian distrib...
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02/28/2022
Inkorrect: Online Handwriting Spelling Correction
We introduce Inkorrect, a data- and label-efficient approach for online ...
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02/18/2022
Transfer and Marginalize: Explaining Away Label Noise with Privileged Information
Supervised learning datasets often have privileged information, in the f...
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10/06/2021
Deep Classifiers with Label Noise Modeling and Distance Awareness
Uncertainty estimation in deep learning has recently emerged as a crucia...
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05/19/2021
Correlated Input-Dependent Label Noise in Large-Scale Image Classification
Large scale image classification datasets often contain noisy labels. We...
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09/09/2020
Routing Networks with Co-training for Continual Learning
The core challenge with continual learning is catastrophic forgetting, t...
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03/15/2020
Analysis of Softmax Approximation for Deep Classifiers under Input-Dependent Label Noise
Modelling uncertainty arising from input-dependent label noise is an inc...
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11/26/2019
Ranking architectures using meta-learning
Neural architecture search has recently attracted lots of research effor...
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10/10/2019
Gumbel-Matrix Routing for Flexible Multi-task Learning
This paper proposes a novel per-task routing method for multi-task appli...
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07/23/2019
Cap2Det: Learning to Amplify Weak Caption Supervision for Object Detection
Learning to localize and name object instances is a fundamental problem ...
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02/15/2019
Fast Task-Aware Architecture Inference
Neural architecture search has been shown to hold great promise towards ...
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11/25/2018
Learning to discover and localize visual objects with open vocabulary
To alleviate the cost of obtaining accurate bounding boxes for training ...
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05/16/2017
