PCoreSet: Effective Active Learning through Knowledge Distillation from Vision-Language Models

arXiv:2506.00910 · cs.LG, cs.AI · Submitted 2025-06-01 · Read on arXiv

cs.LG, cs.AI

Submitted: 2025-06-01

Updated: 2026-10-24

Terminology

• Active Learning — 2× in this paper · explained in 6 episodes
• Distillation — 2× in this paper · explained in 2 episodes
• Knowledge Distillation — 2× in this paper · explained in 15 episodes
• Vision-language models — 2× in this paper · explained in 2 episodes
• Inductive Bias — 1× in this paper · explained in 3 episodes
• Knowledge Distillation (KD) — 1× in this paper · explained in 4 episodes
• Vision-Language Models (VLMs) — 1× in this paper · explained in 7 episodes

Related papers

• Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation
• AIRL-S: Unifying Reinforcement Learning and Search-Based Test-Time Scaling via Adversarial Inverse Reinforcement Learning
• Transformers as Bayesian In-Context Experimenters: Smoothness-Adaptive Efficient ATE Estimation
• Convergence issues in Relational Concept Analysis based on AOC-posets
• Beliefs Beyond Posteriors: The Predictive Cost of ELBO Binding
• Understanding Diffusion Models via Ratio-Based Function Approximation with SignReLU Networks