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Active Learning

1885 directly classified papers

Papers per year

Papers

Fleet Active Learning: A Submodular Maximization Approach CORL 2023
Adaptive Selective Sampling for Online Prediction with Experts NIPS 2023
Improved Robust Algorithms for Learning with Discriminative Feature Feedback AISTATS 2023
Disentangled Multi-Fidelity Deep Bayesian Active Learning ICML 2023
Transfer and Active Learning for Dissonance Detection: Addressing the Rare-Class Challenge ACL 2023
Agnostic Multi-Group Active Learning NIPS 2023
STARS: Spatial-Temporal Active Re-sampling for Label-Efficient Learning from Noisy Annotations AAAI 2023
Reducing cohort bias in natural language understanding systems with targeted self-training scheme ACL 2023
Active Exploration of Multimodal Complementarity for Few-Shot Action Recognition CVPR 2023
Multitask Learning with No Regret: from Improved Confidence Bounds to Active Learning NIPS 2023
Active Learning-Based Species Range Estimation NIPS 2023
Selective Sampling and Imitation Learning via Online Regression NIPS 2023
LOG: Active Model Adaptation for Label-Efficient OOD Generalization NIPS 2022
Dataset Pruning for Resource-constrained Spoofed Audio Detection INTERSPEECH 2022
Making Look-Ahead Active Learning Strategies Feasible with Neural Tangent Kernels NIPS 2022
Adaptive Sampling for Discovery NIPS 2022
Semi-supervised Active Linear Regression NIPS 2022
Batch Multi-Fidelity Active Learning with Budget Constraints NIPS 2022
Sound and Complete Causal Identification with Latent Variables Given Local Background Knowledge NIPS 2022
Are all Frames Equal? Active Sparse Labeling for Video Action Detection NIPS 2022
Is More Data Better? Re-thinking the Importance of Efficiency in Abusive Language Detection with Transformers-Based Active Learning COLING 2022
Active Nearest Neighbor Regression Through Delaunay Refinement ICML 2022
Active Labeling: Streaming Stochastic Gradients NIPS 2022
Active Contrastive Set Mining for Robust Audio-Visual Instance Discrimination IJCAI 2022
Partitioned Gradient Matching-based Data Subset Selection for Compute-Efficient Robust ASR Training EMNLP 2022