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Active Learning

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보존된 평가 기록: 7

Active Learning is a paradigm in supervised machine learning which uses fewer training examples to achieve better optimization by iteratively training a predictor, and using the predictor in each iteration to choose the training examples which will increase its chances of finding better configurations and at the same time improving the accuracy of the prediction model

Source: Polystore++: Accelerated Polystore System for Heterogeneous Workloads

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/wayne0908/Active-Learning-Homology

공식 코드

Finding the Homology of Decision Boundaries with Active Learning

https://github.com/we1pingyu/CALD

공식 코드

Consistency-based Active Learning for Object Detection

https://github.com/webis-de/acl22-revisiting-uncertainty-based-query-strategies-for-active-learning-with-transformers

공식 코드

Revisiting Uncertainty-based Query Strategies for Active Learning with Transformers

https://github.com/webis-de/small-text

공식 코드

Small-Text: Active Learning for Text Classification in Python

https://github.com/weizheliu/People-Flows

공식 코드

Counting People by Estimating People Flows

https://github.com/wernerth94/a-cross-domain-benchmark-for-active-learning

공식 코드

A Cross-Domain Benchmark for Active Learning

https://github.com/wernerth94/bayesian-active-learning-by-distribution-disagreement

공식 코드

Bayesian Active Learning By Distribution Disagreement

https://github.com/whq-xxh/sfada-uwf-slo

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Advancing UWF-SLO Vessel Segmentation with Source-Free Active Domain Adaptation and a Novel Multi-Center Dataset

https://github.com/withchencheng/ecml_pkdd_23_real

공식 코드

REAL: A Representative Error-Driven Approach for Active Learning

https://github.com/wjmaddox/online_vargp

공식 코드

Conditioning Sparse Variational Gaussian Processes for Online Decision-making

https://github.com/wormgit/labelaherdinminutes

공식 코드

Label a Herd in Minutes: Individual Holstein-Friesian Cattle Identification

https://github.com/xbraininc/viraal

공식 코드

VirAAL: Virtual Adversarial Active Learning For NLU

https://github.com/xfyna/al-bnn-gp

공식 코드

Comparing Active Learning Performance Driven by Gaussian Processes or Bayesian Neural Networks for Constrained Trajectory Exploration

https://github.com/xiangyan93/molecules-enumerate

공식 코드

Efficient Chemical Space Exploration Using Active Learning Based on Marginalized Graph Kernel: an Application for Predicting the Thermodynamic Properties of Alkanes with Molecular Simulation

https://github.com/xkianteb/leaqi

공식 코드

Active Imitation Learning with Noisy Guidance

https://github.com/xmichelleshihx/AL-LRTD

공식 코드

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

https://github.com/xmichelleshihx/AL_Skin_SAAS

공식 코드

An Active Learning Approach for Reducing Annotation Cost in Skin Lesion Analysis

https://github.com/xqh19970407/invdesflow-al

공식 코드

InvDesFlow-AL: Active Learning-based Workflow for Inverse Design of Functional Materials

https://github.com/xulabs/aitom

공식 코드

Boosting Active Learning via Improving Test Performance

https://github.com/xuyangabert/alcs

공식 코드

Mitigating shortage of labeled data using clustering-based active learning with diversity exploration

https://github.com/yangarbiter/multilabel-learn

공식 코드

Cost-Sensitive Reference Pair Encoding for Multi-Label Learning

https://github.com/yanhuiailab/rdss

공식 코드

Enhancing Semi-Supervised Learning via Representative and Diverse Sample Selection

https://github.com/yazdaniamir38/madbal

공식 코드

Maturity-Aware Active Learning for Semantic Segmentation with Hierarchically-Adaptive Sample Assessment

https://github.com/ycao5602/kafal

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Knowledge-Aware Federated Active Learning with Non-IID Data

https://github.com/yichen928/freesel

공식 코드

Towards Free Data Selection with General-Purpose Models

https://github.com/yichen928/geal_active_learning

공식 코드

Towards General and Efficient Active Learning

https://github.com/yilingjia/ActSense

공식 코드

Active Collaborative Sensing for Energy Breakdown

https://github.com/yuanchen-wu/robustactivelearning

공식 코드

Robust Offline Active Learning on Graphs

https://github.com/yuantn/MI-AOD

공식 코드

Multiple instance active learning for object detection

https://github.com/yuchuang1205/pal

공식 코드

From Easy to Hard: Progressive Active Learning Framework for Infrared Small Target Detection with Single Point Supervision

https://github.com/yueyu1030/actune

공식 코드

AcTune: Uncertainty-aware Active Self-Training for Semi-Supervised Active Learning with Pretrained Language Models

https://github.com/yuqiChen94/Active_fuzzer

공식 코드

Active Fuzzing for Testing and Securing Cyber-Physical Systems

https://github.com/yushu-li/hiltta

공식 코드

Exploring Human-in-the-Loop Test-Time Adaptation by Synergizing Active Learning and Model Selection

https://github.com/yuta-hi/bayesian_unet

공식 코드

Automated Muscle Segmentation from Clinical CT using Bayesian U-Net for Personalized Musculoskeletal Modeling

https://github.com/yuzhe630/adder-DSE

공식 코드

Cross-layer Optimization for High Speed Adders: A Pareto Driven Machine Learning Approach

https://github.com/ywher/ss-ada

공식 코드

SS-ADA: A Semi-Supervised Active Domain Adaptation Framework for Semantic Segmentation

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