conftrace_
← Learning Types
Deep Learning › Learning Types ›

Active Learning

40 papers

Papers per year

1
1
1
3
3
8
8
3
4
7
1

Papers

LiGen: Active Lipid Generation via a Molecular Language Model ACL 2026
Multi-Edge Reinforced Collaborative Data Acquisition for Continuous Video Analytics by Prioritizing Quality over Quantity AAAI 2025
AS-Det: Active Sampling for Adaptive 3D Object Detection in Point Clouds AAAI 2025
Omni-Query Active Learning for Source-Free Domain Adaptive Cross-Modality 3D Semantic Segmentation AAAI 2025
Debiased Active Learning with Variational Gradient Rectifier AAAI 2025
From Selection to Generation: A Survey of LLM-based Active Learning ACL 2025
Effortless Active Labeling for Long-Term Test-Time Adaptation CVPR 2025
How to select slices for annotation to train best-performing deep learning segmentation models for cross-sectional medical images? MIDL 2025
Active learning of neural population dynamics using two-photon holographic optogenetics NIPS 2024
Boundary Matters: A Bi-Level Active Finetuning Method NIPS 2024
STONE: A Submodular Optimization Framework for Active 3D Object Detection NIPS 2024
ELAD: Explanation-Guided Large Language Models Active Distillation ACL 2024
No Change, No Gain: Empowering Graph Neural Networks with Expected Model Change Maximization for Active Learning NIPS 2023
Pixel Is All You Need: Adversarial Trajectory-Ensemble Active Learning for Salient Object Detection AAAI 2023
Deep Active Learning for Morphophonological Processing ACL 2023
Deep Active Learning by Leveraging Training Dynamics NIPS 2022
Active Learning Helps Pretrained Models Learn the Intended Task NIPS 2022
Meta-Query-Net: Resolving Purity-Informativeness Dilemma in Open-set Active Learning NIPS 2022
Batch Active Learning with Graph Neural Networks via Multi-Agent Deep Reinforcement Learning AAAI 2022
Towards Fewer Annotations: Active Learning via Region Impurity and Prediction Uncertainty for Domain Adaptive Semantic Segmentation CVPR 2022
Active Teacher for Semi-Supervised Object Detection CVPR 2022
Improving Large-Scale Conversational Assistants using Model Interpretation based Training Sample Selection EMNLP 2022
Evaluating Pre-Trained Sentence-BERT with Class Embeddings in Active Learning for Multi-Label Text Classification IJCNLP 2022
SIMILAR: Submodular Information Measures Based Active Learning In Realistic Scenarios NIPS 2021
LADA: Look-Ahead Data Acquisition via Augmentation for Deep Active Learning NIPS 2021