Browsing Electronic Engineering and Computer Science by Title
Now showing items 1720-1739 of 3442
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Learning by Erasing: Conditional Entropy Based Transferable Out-of-Distribution Detection
Detecting OOD inputs is crucial to deploy machine learning models to the real world safely. However, existing OOD detection methods require an in-distribution (ID) dataset to retrain the models. In this paper, we propose ... -
Learning Deep Features for Robotic Inference from Physical Interactions
(Institute of Electrical and Electronics Engineers, 2022-02-17)In order to effectively handle multiple tasks that are not pre-defined, a robotic agent needs to automatically map its high-dimensional sensory inputs into useful features. As a solution, feature learning has empirically ... -
Learning Frame Similarity using Siamese networks for Audio-to-Score Alignment
Audio-to-score alignment aims at generating an accurate mapping between a performance audio and the score of a given piece. Standard alignment methods are based on Dynamic Time Warping (DTW) and employ handcrafted features, ... -
Learning Frequency Domain Priors for Image Demoireing.
(IEEE, 2021-09-24)Image demoireing is a multi-faceted image restoration task involving both moire pattern removal and color restoration. In this paper, we raise a general degradation model to describe an image contaminated by moire patterns, ... -
Learning from Disagreement: A Survey
(2021) -
Learning from Label Relationships in Human Affect
(2022-10-10)Human affect and mental state estimation in an automated manner, face a number of difficulties, including learning from labels with poor or no temporal resolution, learning from few datasets with little data (often due to ... -
Learning hybrid ranking representation for person re-identification
(Elsevier, 2021-08-01)Contemporary person re-identification (re-id) methods mostly compute independentlya feature representation of each person image in the query set and the gallery set. This strategy fails to consider any ranking context ... -
Learning like human annotators: Cyberbullying detection in lengthy social media sessions
(2023-04-30)The inherent characteristic of cyberbullying of being a recurrent attitude calls for the investigation of the problem by looking at social media sessions as a whole, beyond just isolated social media posts. However, the ... -
Learning Music Representations with wav2vec 2.0
(IEEE, 2023-12-07)Learning music representations that are general- purpose offers the flexibility to finetune several downstream tasks using smaller datasets. The wav2vec 2.0 speech representation model showed promising results in many ... -
Learning to detect an animal sound from five examples
(Elsevier, 2023-08-10)Automatic detection and classification of animal sounds has many applications in biodiversity monitoring and animal behavior. In the past twenty years, the volume of digitised wildlife sound available has massively increased, ... -
Learning to Generate Genotypes with Neural Networks
Neural networks and evolutionary computation have a rich intertwined history. They most commonly appear together when an evolutionary algorithm optimises the parameters and topology of a neural network for reinforcement ...