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Active Learning

119 papers with code · Methodology

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Latest papers with code

Active Fuzzing for Testing and Securing Cyber-Physical Systems

28 May 2020yuqiChen94/Active_fuzzer

Cyber-physical systems (CPSs) in critical infrastructure face a pervasive threat from attackers, motivating research into a variety of countermeasures for securing them.

ACTIVE LEARNING

1
28 May 2020

Active Imitation Learning with Noisy Guidance

26 May 2020xkianteb/leaqi

Imitation learning algorithms provide state-of-the-art results on many structured prediction tasks by learning near-optimal search policies.

ACTIVE LEARNING IMITATION LEARNING STRUCTURED PREDICTION

3
26 May 2020

VirAAL: Virtual Adversarial Active Learning

14 May 2020xbraininc/viraal

VirAAL is based on Virtual Adversarial Training (VAT), a semi-supervised approach that regularizes the model through Local Distributional Smoothness.

ACTIVE LEARNING NATURAL LANGUAGE UNDERSTANDING

0
14 May 2020

Active Learning for Coreference Resolution using Discrete Annotation

28 Apr 2020belindal/discrete-active-learning-coref

We improve upon pairwise annotation for active learning in coreference resolution, by asking annotators to identify mention antecedents if a presented mention pair is deemed not coreferent.

ACTIVE LEARNING COREFERENCE RESOLUTION

5
28 Apr 2020

LRTD: Long-Range Temporal Dependency based Active Learning for Surgical Workflow Recognition

21 Apr 2020xmichelleshihx/AL-LRTD

Specifically, we propose a non-local recurrent convolutional network (NL-RCNet), which introduces non-local block to capture the long-range temporal dependency (LRTD) among continuous frames.

ACTIVE LEARNING

3
21 Apr 2020

ALPS: Active Learning via Perturbations

20 Apr 2020danikiyasseh/ALPS

Small, labelled datasets in the presence of larger, unlabelled datasets pose challenges to data-hungry deep learning algorithms.

ACTIVE LEARNING TIME SERIES

0
20 Apr 2020

Deep Active Learning for Biased Datasets via Fisher Kernel Self-Supervision

1 Mar 2020gudovskiy/al-fk-self-supervision

We theoretically derive an optimal acquisition function for AL in this setting.

ACTIVE LEARNING

6
01 Mar 2020

Few-Shot Learning on Graphs via Super-Classes based on Graph Spectral Measures

ICLR 2020 chauhanjatin10/GraphsFewShot

We propose to study the problem of few shot graph classification in graph neural networks (GNNs) to recognize unseen classes, given limited labeled graph examples.

ACTIVE LEARNING FEW-SHOT LEARNING GRAPH CLASSIFICATION

12
27 Feb 2020

MedCAT -- Medical Concept Annotation Tool

18 Dec 2019CogStack/MedCAT

To uncover the potential of biomedical documents we need to extract and structure the information they contain.

ACTIVE LEARNING ENTITY EXTRACTION NAMED ENTITY RECOGNITION

40
18 Dec 2019