Research map / Label-efficient and robust learning / Zero-/few-shot and meta-learning

Dimensionality Reduction for Representing the Knowledge of Probabilistic Models

ICLR 2019 · Label-efficient and robust learning › Zero-/few-shot and meta-learning · approach: Zero-shot robustness and transfer · 8 citations (OpenAlex)

Read the paperCheck your idea against 108,967 papers

AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.

Closest papers by meaning

• Hierarchical Nearest Neighbor Graph Embedding for Efficient Dimensionality Reduction (CVPR 2022 · similarity 0.86)
• Interpretability Illusions in the Generalization of Simplified Models (ICML 2024 · similarity 0.86)
• Analyzing and Improving Representations with the Soft Nearest Neighbor Loss (ICML 2019 · similarity 0.85)
• Unsupervised Learning with Contrastive Latent Variable Models (AAAI 2019 · similarity 0.84)
• Position: Deep Learning is Not So Mysterious or Different (ICML 2025 · similarity 0.82)
• Enhancing Pre-trained Representation Classifiability can Boost its Interpretability (ICLR 2025 · similarity 0.82)