concept learning

ProMark: Proactive Diffusion Watermarking for Causal Attribution CVPR 2024 Symbolic Regression with a Learned Concept Library NeurIPS 2024 Actional Atomic-Concept Learning for Demystifying Vision-Language Navigation AAAI 2023 Can In-context Learners Learn a Reasoning Concept from Demonstrations? ACL 2023 Concept2Box: Joint Geometric Embeddings for Learning Two-View Knowledge Graphs ACL 2023 Conceptual Reinforcement Learning for Language-Conditioned Tasks AAAI 2023 Dividing and Conquering a BlackBox to a Mixture of Interpretable Models: Route, Interpret, Repeat ICML 2023 Human-like Few-Shot Learning via Bayesian Reasoning over Natural Language NeurIPS 2023 Interactive Concept Learning for Uncovering Latent Themes in Large Text Collections ACL 2023 Learning Bottleneck Concepts in Image Classification CVPR 2023 Licon: A Diverse, Controllable and Challenging Linguistic Concept Learning Benchmark EMNLP 2023 Nonparametric Teaching for Multiple Learners NeurIPS 2023 Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts NeurIPS 2023 On the Complexity of Bayesian Generalization ICML 2023 SAT-Based PAC Learning of Description Logic Concepts IJCAI 2023 Set-to-Sequence Ranking-Based Concept-Aware Learning Path Recommendation AAAI 2023 Towards Concept-Aware Large Language Models EMNLP 2023 Towards Robust Metrics for Concept Representation Evaluation AAAI 2023 Towards the Difficulty for a Deep Neural Network to Learn Concepts of Different Complexities NeurIPS 2023 Towards Trustable Skin Cancer Diagnosis via Rewriting Model's Decision CVPR 2023 A Framework for Learning Ante-Hoc Explainable Models via Concepts CVPR 2022 Analyzing Encoded Concepts in Transformer Language Models NAACL 2022 Clustering Approach to Solve Hierarchical Classification Problem Complexity AAAI 2022 Concept Learning for Interpretable Multi-Agent Reinforcement Learning CoRL 2022 Discovering Design Concepts for CAD Sketches NeurIPS 2022