interpretable representation

Lingua-Graph: A Unified Representation of Cross-Task Common Substructures for Analytic Language Processing ACL 2026 Concept Bottleneck Language Models For Protein Design ICLR 2025 ConceptCarve: Dynamic Realization of Evidence ACL 2025 Explainable Graph Representation Learning via Graph Pattern Analysis IJCAI 2025 InCoDe: Interpretable Compressed Descriptions For Image Generation ICLR 2025 Learning Multi-Level Features with Matryoshka Sparse Autoencoders ICML 2025 PRISM: A Framework for Producing Interpretable Political Bias Embeddings with Political-Aware Cross-Encoder ACL 2025 NAISR: A 3D Neural Additive Model for Interpretable Shape Representation ICLR 2024 Disentangling Interpretable Factors with Supervised Independent Subspace Principal Component Analysis NeurIPS 2024 DiVERT: Distractor Generation with Variational Errors Represented as Text for Math Multiple-choice Questions EMNLP 2024 Fine-Grained and Interpretable Neural Speech Editing Interspeech 2024 Interpreting CLIP with Sparse Linear Concept Embeddings (SpLiCE) NeurIPS 2024 Learning Cognitive Maps from Transformer Representations for Efficient Planning in Partially Observed Environments ICML 2024 Learning to Understand: Identifying Interactions via the Möbius Transform NeurIPS 2024 Cognitive Model Discovery via Disentangled RNNs NeurIPS 2023 Deep Symbolic Learning: Discovering Symbols and Rules from Perceptions IJCAI 2023 Discovering Universal Geometry in Embeddings with ICA EMNLP 2023 Grounding Neural Inference with Satisfiability Modulo Theories NeurIPS 2023 Interpretable Debiasing of Vectorized Language Representations with Iterative Orthogonalization ICLR 2023 Interpretable Word Sense Representations via Definition Generation: The Case of Semantic Change Analysis ACL 2023 Unearthing InSights into Mars: Unsupervised Source Separation with Limited Data ICML 2023 How to encode arbitrarily complex morphology in word embeddings, no corpus needed COLING 2022 Intermediate Entity-based Sparse Interpretable Representation Learning EMNLP 2022 Inverse Contextual Bandits: Learning How Behavior Evolves over Time ICML 2022 Learning Structure from the Ground up---Hierarchical Representation Learning by Chunking NeurIPS 2022