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09/06/2023
Continual Evidential Deep Learning for Out-of-Distribution Detection
Uncertainty-based deep learning models have attracted a great deal of in...
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12/04/2021
Hyper-GAN: Transferring Unconditional to Conditional GANs with HyperNetworks
Conditional GANs have matured in recent years and are able to generate h...
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10/09/2021
Class-Balanced Active Learning for Image Classification
Active learning aims to reduce the labeling effort that is required to t...
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08/25/2021
Reducing Label Effort: Self-Supervised meets Active Learning
Active learning is a paradigm aimed at reducing the annotation effort by...
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07/30/2021
When Deep Learners Change Their Mind: Learning Dynamics for Active Learning
Active learning aims to select samples to be annotated that yield the la...
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07/20/2021
Saliency for free: Saliency prediction as a side-effect of object recognition
Saliency is the perceptual capacity of our visual system to focus our at...
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05/13/2021
TransferI2I: Transfer Learning for Image-to-Image Translation from Small Datasets
Image-to-image (I2I) translation has matured in recent years and is able...
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07/31/2020
Learning to Rank for Active Learning: A Listwise Approach
Active learning emerged as an alternative to alleviate the effort to lab...
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07/24/2020
Hallucinating Saliency Maps for Fine-Grained Image Classification for Limited Data Domains
Most of the saliency methods are evaluated on their ability to generate ...
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04/20/2020
Generative Feature Replay For Class-Incremental Learning
Humans are capable of learning new tasks without forgetting previous one...
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08/30/2019
Temporal Coherence for Active Learning in Videos
Autonomous driving systems require huge amounts of data to train. Manual...
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12/07/2018
Optimizing Speed/Accuracy Trade-Off for Person Re-identification via Knowledge Distillation
Finding a person across a camera network plays an important role in vide...
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09/06/2018
Memory Replay GANs: learning to generate images from new categories without forgetting
Previous works on sequential learning address the problem of forgetting ...
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08/01/2018
Saliency for Fine-grained Object Recognition in Domains with Scarce Training Data
This paper investigates the role of saliency to improve the classificati...
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05/04/2018
Transferring GANs: generating images from limited data
Transferring the knowledge of pretrained networks to new domains by mean...
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11/19/2016