Research map / Probabilistic and scientific modeling / Causal discovery
Explicit Modeling of Causal Factors and Confounders for Image Classification
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
- Causal Inference over Visual-Semantic-Aligned Graph for Image Classification (AAAI 2025 · similarity 0.90)
- Visual Representation Learning through Causal Intervention for Controllable Image Editing (CVPR 2025 · similarity 0.89)
- In Pursuit of Causal Label Correlations for Multi-label Image Recognition (NeurIPS 2024 · similarity 0.87)
- Counterfactual Reasoning for Multi-Label Image Classification via Patching-Based Training (ICML 2024 · similarity 0.86)
- A Sparsity Principle for Partially Observable Causal Representation Learning (ICML 2024 · similarity 0.86)
- Causal Representation Learning Made Identifiable by Grouping of Observational Variables (ICML 2024 · similarity 0.85)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.