interpretable representation

Changing the Basis of Contextual Representations with Explicit Semantics ACL 2021 Discovering Interpretable Latent Space Directions of GANs Beyond Binary Attributes CVPR 2021 GANmut: Learning Interpretable Conditional Space for Gamut of Emotions CVPR 2021 Interpretable Minority Synthesis for Imbalanced Classification IJCAI 2021 Inverse Decision Modeling: Learning Interpretable Representations of Behavior ICML 2021 Contrastive Learning of Structured World Models ICLR 2020 Inducing Hierarchical Compositional Model by Sparsifying Generator Network CVPR 2020 Learning Interpretable Representations with Informative Entanglements IJCAI 2020 Learning concise representations for regression by evolving networks of trees ICLR 2019 Learning interpretable continuous-time models of latent stochastic dynamical systems ICML 2019 Relational Forward Models for Multi-Agent Learning ICLR 2019 The LORACs Prior for VAEs: Letting the Trees Speak for the Data AISTATS 2019 Towards Interpretable Face Recognition ICCV 2019 Discovering Interpretable Representations for Both Deep Generative and Discriminative Models ICML 2018 Generative Adversarial Image Synthesis With Decision Tree Latent Controller CVPR 2018 Improving Knowledge Graph Embedding Using Simple Constraints ACL 2018 Building Lexical Vector Representations from Concept Definitions EACL 2017 InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations NeurIPS 2017 Interpretable Structure-Evolving LSTM CVPR 2017