ReCBM: Uncertainty-Gated Relational Reasoning for Concept Bottleneck Models

arXiv:2608.10004 · cs.AI, cs.CV · Submitted 2026-08-07 · Read on arXiv

An Sui, Yuzhu Li, Fuping Wu, Xiahai Zhuang

cs.AI, cs.CV

Submitted: 2026-08-07

Updated: 2026-08-12

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Accuracy — 20× in this paper · explained in 1 episode
• Ablation — 10× in this paper · explained in 1 episode
• Robustness — 10× in this paper · explained in 6 episodes
• AUC — 7× in this paper · explained in 2 episodes
• Generator — 5× in this paper · explained in 2 episodes
• Weight Decay — 5× in this paper · explained in 2 episodes
• Adam — 3× in this paper · explained in 3 episodes
• Augmentation — 3× in this paper · explained in 2 episodes
• Grounding — 3× in this paper · explained in 3 episodes
• Hyperparameters — 3× in this paper · explained in 2 episodes
• Consistency — 2× in this paper · explained in 3 episodes
• Corruption Robustness — 2× in this paper · explained in 2 episodes
• Interpretability — 2× in this paper · explained in 15 episodes
• Iterative Refinement — 2× in this paper · explained in 5 episodes
• Pruning — 2× in this paper · explained in 4 episodes
• Redundancy — 2× in this paper · explained in 2 episodes
• Ablation Study — 1× in this paper · explained in 3 episodes
• Benchmark — 1× in this paper · explained in 2 episodes
• Benchmarking — 1× in this paper · explained in 4 episodes
• Calibration — 1× in this paper · explained in 9 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Evaluation Protocol — 1× in this paper · explained in 2 episodes
• Human-in-the-loop — 1× in this paper · explained in 4 episodes
• Model Interpretability — 1× in this paper · explained in 2 episodes
• Multi-Factor Authentication — 1× in this paper
• Parameterization — 1× in this paper · explained in 2 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Training Objective — 1× in this paper · explained in 3 episodes

Sources

• Promises and Pitfalls of Black-Box Concept Learning Models
• Do Concept Bottleneck Models Learn as Intended?
• Graph Concept Bottleneck Models

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