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Active Learning

1885 directly classified papers

Papers per year

Papers

Locating What You Need: Towards Adapting Diffusion Models to OOD Concepts In-the-Wild NIPS 2024
REDUCR: Robust Data Downsampling using Class Priority Reweighting NIPS 2024
Local Anti-Concentration Class: Logarithmic Regret for Greedy Linear Contextual Bandit NIPS 2024
Unbiased Active Semi-supervised Binary Classification Models IJCAI 2024
Active preference learning for ordering items in- and out-of-sample NIPS 2024
Optimal Top-Two Method for Best Arm Identification and Fluid Analysis NIPS 2024
Active Deep Multi-view Clustering IJCAI 2024
IntEr-HRI Competition: Intrinsic Error Evaluation during Human - Robot Interaction IJCAI 2024
Queueing Matching Bandits with Preference Feedback NIPS 2024
Fairness without Harm: An Influence-Guided Active Sampling Approach NIPS 2024
Optimal Clustering with Bandit Feedback JMLR 2024
Interactive Deep Clustering via Value Mining NIPS 2024
Adaptive Labeling for Efficient Out-of-distribution Model Evaluation NIPS 2024
Performance-Guided LLM Knowledge Distillation for Efficient Text Classification at Scale EMNLP 2024
Inversion-based Latent Bayesian Optimization NIPS 2024
Amortized Active Causal Induction with Deep Reinforcement Learning NIPS 2024
A Bayesian Approach to Data Point Selection NIPS 2024
Fast Rates for Bandit PAC Multiclass Classification NIPS 2024
Universal Rates for Active Learning NIPS 2024
Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation NIPS 2024
A Cross-Domain Benchmark for Active Learning NIPS 2024
TLab at #SMM4H 2024: Retrieval-Augmented Generation for ADE Extraction and Normalization ACL 2024
Robust Offline Active Learning on Graphs NIPS 2024
Empowering Active Learning for 3D Molecular Graphs with Geometric Graph Isomorphism NIPS 2024
Can Active Label Correction Improve LLM-based Modular AI Systems? EMNLP 2024