conftrace_

interpretable representation

36 papers

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Co-occurring keywords

representation learning (6206) generative adversarial network (1944) word embedding (1764) disentangled representation (521) variational inference (2069) unsupervised learning (3264) large language model (13587) supersense prediction (2) latent space (854) generative model (2892)

Papers

Lingua-Graph: A Unified Representation of Cross-Task Common Substructures for Analytic Language Processing ACL 2026
PRISM: A Framework for Producing Interpretable Political Bias Embeddings with Political-Aware Cross-Encoder ACL 2025
ConceptCarve: Dynamic Realization of Evidence ACL 2025
Explainable Graph Representation Learning via Graph Pattern Analysis IJCAI 2025
Learning to Understand: Identifying Interactions via the Möbius Transform NIPS 2024
DiVERT: Distractor Generation with Variational Errors Represented as Text for Math Multiple-choice Questions EMNLP 2024
Interpreting CLIP with Sparse Linear Concept Embeddings (SpLiCE) NIPS 2024
Fine-Grained and Interpretable Neural Speech Editing INTERSPEECH 2024
Disentangling Interpretable Factors with Supervised Independent Subspace Principal Component Analysis NIPS 2024
Cognitive Model Discovery via Disentangled RNNs NIPS 2023
Discovering Universal Geometry in Embeddings with ICA EMNLP 2023
Interpretable Word Sense Representations via Definition Generation: The Case of Semantic Change Analysis ACL 2023
Grounding Neural Inference with Satisfiability Modulo Theories NIPS 2023
Deep Symbolic Learning: Discovering Symbols and Rules from Perceptions IJCAI 2023
Unearthing InSights into Mars: Unsupervised Source Separation with Limited Data ICML 2023
Inverse Contextual Bandits: Learning How Behavior Evolves over Time ICML 2022
Intermediate Entity-based Sparse Interpretable Representation Learning EMNLP 2022
Learning Structure from the Ground up---Hierarchical Representation Learning by Chunking NIPS 2022
How to encode arbitrarily complex morphology in word embeddings, no corpus needed COLING 2022
Discovering Interpretable Latent Space Directions of GANs Beyond Binary Attributes CVPR 2021
Interpretable Minority Synthesis for Imbalanced Classification IJCAI 2021
Changing the Basis of Contextual Representations with Explicit Semantics ACL 2021
GANmut: Learning Interpretable Conditional Space for Gamut of Emotions CVPR 2021
Changing the Basis of Contextual Representations with Explicit Semantics IJCNLP 2021
Inverse Decision Modeling: Learning Interpretable Representations of Behavior ICML 2021