Co-occurring keywords · papers mentioning both
Papers
A Transformer and Prototype-based Interpretable Model for Contextual Sarcasm Detection
EACL 2026
Cosine Similarity is Almost All You Need (for Prototypical-Part Models)
WACV 2026
Hierarchical Concept Embedding & Pursuit for Interpretable Image Classification
CVPR 2026
LogicCBMs: Logic-Enhanced Concept-Based Learning
WACV 2026
An interpretable speech foundation model for depression detection by revealing prediction-relevant acoustic features from long speech
Interspeech 2025
A Robust Prototype-Based Network with Interpretable RBF Classifier Foundations
AAAI 2025
Causal Concept Graph Models: Beyond Causal Opacity in Deep Learning
ICLR 2025
CONDA: Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts
ICLR 2025
Counterfactual Concept Bottleneck Models
ICLR 2025
DiSciPLE: Learning Interpretable Programs for Scientific Visual Discovery
CVPR 2025
Efficient Visual Representation Learning with Heat Conduction Equation
IJCAI 2025
Even-if Explanations: Formal Foundations, Priorities and Complexity
AAAI 2025
Generalized Convergence Analysis of Tsetlin Automaton Based Algorithms: A Probabilistic Approach to Concept Learning
AAAI 2025
GeoPro-Net: Learning Interpretable Spatiotemporal Prediction Models Through Statistically-Guided Geo-Prototyping
AAAI 2025
HiBug2: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging
ICLR 2025
Human Interpretable Virtual Metrology in the Semiconductor Manufacturing
AAAI 2025
InstaSHAP: Interpretable Additive Models Explain Shapley Values Instantly
ICLR 2025
Interpretable Mnemonic Generation for Kanji Learning via Expectation-Maximization
EMNLP 2025
Interpretable Models for Detecting Linguistic Variation in Russian Media: Towards Unveiling Propagandistic Strategies during the Russo-Ukrainian War
NAACL 2025
Interpretable Zero-Shot Learning with Locally-Aligned Vision-Language Model
ICCV 2025
Language Guided Concept Bottleneck Models for Interpretable Continual Learning
CVPR 2025
Learning Accurate and Interpretable Decision Trees (Extended Abstract)
IJCAI 2025
Learning Optimal Oblique Decision Trees with (Max)SAT
IJCAI 2025
Logic-Logit: A Logic-Based Approach to Choice Modeling
ICLR 2025
Models That Are Interpretable But Not Transparent
AISTATS 2025