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conftrace_

interpretable model

175 papers

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