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Active Learning

1885 directly classified papers

Papers per year

Papers

Agile Modeling: From Concept to Classifier in Minutes ICCV 2023
Re-Thinking Federated Active Learning Based on Inter-Class Diversity CVPR 2023
SALAD: Source-Free Active Label-Agnostic Domain Adaptation for Classification, Segmentation and Detection WACV 2023
Active Finetuning: Exploiting Annotation Budget in the Pretraining-Finetuning Paradigm CVPR 2023
Learning Incoherent Light Emission Steering From Metasurfaces Using Generative Models WACV 2023
Bandits with costly reward observations UAI 2023
A Framework and Benchmark for Deep Batch Active Learning for Regression JMLR 2023
Heavy-tailed linear bandit with Huber regression UAI 2023
Autonomous Robotic Reinforcement Learning with Asynchronous Human Feedback CORL 2023
Fleet Active Learning: A Submodular Maximization Approach CORL 2023
Active Neural Mapping ICCV 2023
Randomness Is the Root of All Evil: More Reliable Evaluation of Deep Active Learning WACV 2023
HAL3D: Hierarchical Active Learning for Fine-Grained 3D Part Labeling ICCV 2023
Divide and Adapt: Active Domain Adaptation via Customized Learning CVPR 2023
An active learning framework for multi-group mean estimation NIPS 2023
Continually Improving Extractive QA via Human Feedback EMNLP 2023
ALWOD: Active Learning for Weakly-Supervised Object Detection ICCV 2023
GFlowNet Foundations JMLR 2023
Active Self-Supervised Learning: A Few Low-Cost Relationships Are All You Need ICCV 2023
On Batch Teaching Without Collusion JMLR 2023
Inducing Point Allocation for Sparse Gaussian Processes in High-Throughput Bayesian Optimisation AISTATS 2023
KECOR: Kernel Coding Rate Maximization for Active 3D Object Detection ICCV 2023
Data-efficient Active Learning for Structured Prediction with Partial Annotation and Self-Training EMNLP 2023
LLMaAA: Making Large Language Models as Active Annotators EMNLP 2023
PALS: Personalized Active Learning for Subjective Tasks in NLP EMNLP 2023