{"total":52,"rows":[{"id":"2103.11251","title":"Interpretable Machine Learning: Fundamental Principles and 10 Grand Challenges","created":"2021-03-20","cited_by_count":367,"area":null},{"id":"2211.11695","title":"Disentangled Representation Learning","created":"2022-11-21","cited_by_count":112,"area":null},{"id":"2108.06685","title":"Vector-Decomposed Disentanglement for Domain-Invariant Object Detection","created":"2021-08-15","cited_by_count":47,"area":null},{"id":"2110.15255","title":"Self-Supervised Learning Disentangled Group Representation as Feature","created":"2021-10-28","cited_by_count":47,"area":null},{"id":"2305.12218","title":"Text-Video Retrieval with Disentangled Conceptualization and Set-to-Set Alignment","created":"2023-05-20","cited_by_count":32,"area":null},{"id":"2106.14305","title":"Unsupervised Skill Discovery with Bottleneck Option Learning","created":"2021-06-27","cited_by_count":28,"area":null},{"id":"2104.05622","title":"Where and What? Examining Interpretable Disentangled Representations","created":"2021-04-07","cited_by_count":27,"area":null},{"id":"2106.03375","title":"Commutative Lie Group VAE for Disentanglement Learning","created":"2021-06-07","cited_by_count":27,"area":null},{"id":"2403.12459","title":"Non-negative Contrastive Learning","created":"2024-03-19","cited_by_count":19,"area":null},{"id":"2110.04686","title":"Braxlines: Fast and Interactive Toolkit for RL-driven Behavior Engineering beyond Reward Maximization","created":"2021-10-10","cited_by_count":11,"area":null},{"id":"2404.18533","title":"Evaluating Readability and Faithfulness of Concept-based Explanations","created":"2024-04-29","cited_by_count":10,"area":null},{"id":"2108.13753","title":"Disentanglement Analysis with Partial Information Decomposition","created":"2021-08-31","cited_by_count":9,"area":null},{"id":"2203.11132","title":"Review of Disentanglement Approaches for Medical Applications -- Towards Solving the Gordian Knot of Generative Models in Healthcare","created":"2022-03-21","cited_by_count":9,"area":null},{"id":"2209.07007","title":"Gromov-Wasserstein Autoencoders","created":"2022-09-15","cited_by_count":7,"area":null},{"id":"2505.06224","title":"Towards a Unified Representation Evaluation Framework Beyond Downstream Tasks","created":"2025-05-09","cited_by_count":7,"area":null},{"id":"2202.09374","title":"Explaining, Evaluating and Enhancing Neural Networks' Learned Representations","created":"2022-02-18","cited_by_count":6,"area":null},{"id":"2302.11220","title":"Deep Kernel Principal Component Analysis for Multi-level Feature Learning","created":"2023-02-22","cited_by_count":6,"area":null},{"id":"2304.03323","title":"DSVAE: Interpretable Disentangled Representation for Synthetic Speech Detection","created":"2023-04-06","cited_by_count":6,"area":null},{"id":"2205.10056","title":"Leveraging Relational Information for Learning Weakly Disentangled Representations","created":"2022-05-20","cited_by_count":5,"area":null},{"id":"2110.03498","title":"On the relationship between disentanglement and multi-task learning","created":"2021-10-07","cited_by_count":4,"area":null},{"id":"2202.06201","title":"Unsupervised Disentanglement with Tensor Product Representations on the Torus","created":"2022-02-13","cited_by_count":4,"area":null},{"id":"2303.05066","title":"Distortion-Disentangled Contrastive Learning","created":"2023-03-09","cited_by_count":4,"area":null},{"id":"2411.00588","title":"$\\alpha$-TCVAE: On the relationship between Disentanglement and Diversity","created":"2024-11-01","cited_by_count":4,"area":null},{"id":"2202.09926","title":"Disentangling Autoencoders (DAE)","created":"2022-02-20","cited_by_count":3,"area":null},{"id":"2305.06886","title":"A Category-theoretical Meta-analysis of Definitions of Disentanglement","created":"2023-05-11","cited_by_count":3,"area":null},{"id":"2103.15727","title":"Evaluation of Correctness in Unsupervised Many-to-Many Image Translation","created":"2021-03-29","cited_by_count":2,"area":null},{"id":"2304.02335","title":"Correcting Flaws in Common Disentanglement Metrics","created":"2023-04-05","cited_by_count":2,"area":null},{"id":"2305.11512","title":"Enriching Disentanglement: From Logical Definitions to Quantitative Metrics","created":"2023-05-19","cited_by_count":2,"area":null},{"id":"2309.11667","title":"Understanding Pose and Appearance Disentanglement in 3D Human Pose Estimation","created":"2023-09-20","cited_by_count":2,"area":null},{"id":"2407.21740","title":"Beyond Spectral Decomposition: Bayesian Contrastive Learning and its Non-negative Formulation via Factor Analysis","created":"2024-07-31","cited_by_count":2,"area":null},{"id":"2410.19426","title":"Analyzing Generative Models by Manifold Entropic Metrics","created":"2024-10-25","cited_by_count":2,"area":null},{"id":"2505.22199","title":"Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer","created":"2025-05-28","cited_by_count":2,"area":null},{"id":"2507.02619","title":"L-VAE: Variational Auto-Encoder with Learnable Beta for Disentangled Representation","created":"2025-07-03","cited_by_count":2,"area":null},{"id":"2101.09500","title":"Disentangled Sequence Clustering for Human Intention Inference","created":"2021-01-23","cited_by_count":1,"area":null},{"id":"2102.03986","title":"DEFT: Distilling Entangled Factors by Preventing Information Diffusion","created":"2021-02-08","cited_by_count":1,"area":null},{"id":"2108.00295","title":"Fair Representation Learning using Interpolation Enabled Disentanglement","created":"2021-07-31","cited_by_count":1,"area":null},{"id":"2110.05587","title":"Evaluation of Latent Space Disentanglement in the Presence of Interdependent Attributes","created":"2021-10-11","cited_by_count":1,"area":null},{"id":"2303.12959","title":"Variantional autoencoder with decremental information bottleneck for disentanglement","created":"2023-03-22","cited_by_count":1,"area":null},{"id":"2304.04103","title":"TC-VAE: Uncovering Out-of-Distribution Data Generative Factors","created":"2023-04-08","cited_by_count":1,"area":null},{"id":"2408.13471","title":"Disentangled Generative Graph Representation Learning","created":"2024-08-24","cited_by_count":1,"area":null},{"id":"2409.18017","title":"Transferring disentangled representations: bridging the gap between synthetic and real images","created":"2024-09-26","cited_by_count":1,"area":null},{"id":"2206.04225","title":"GCVAE: Generalized-Controllable Variational AutoEncoder","created":"2022-06-09","cited_by_count":0,"area":null},{"id":"2209.05336","title":"Modular Representations for Weak Disentanglement","created":"2022-09-12","cited_by_count":0,"area":null},{"id":"2308.10708","title":"Measuring the Effect of Causal Disentanglement on the Adversarial Robustness of Neural Network Models","created":"2023-08-21","cited_by_count":0,"area":null},{"id":"2309.03619","title":"Understanding Self-Supervised Learning of Speech Representation via Invariance and Redundancy Reduction","created":"2023-09-07","cited_by_count":0,"area":null},{"id":"2310.05115","title":"Breaking Down Word Semantics from Pre-trained Language Models through Layer-wise Dimension Selection","created":"2023-10-08","cited_by_count":0,"area":null},{"id":"2402.10547","title":"Learning Disentangled Audio Representations through Controlled Synthesis","created":"2024-02-16","cited_by_count":0,"area":null},{"id":"2408.07016","title":"Rethinking Disentanglement under Dependent Factors of Variation","created":"2024-08-13","cited_by_count":0,"area":null},{"id":"2409.02672","title":"Independence Constrained Disentangled Representation Learning from Epistemological Perspective","created":"2024-09-04","cited_by_count":0,"area":null},{"id":"2506.20649","title":"Disentangled representations of microscopy images","created":"2025-06-25","cited_by_count":0,"area":null},{"id":"2603.17405","title":"Causal Representation Learning on High-Dimensional Data: Benchmarks, Reproducibility, and Evaluation Metrics","created":"2026-03-18","cited_by_count":0,"area":null},{"id":"2603.21236","title":"Posterior-Calibrated Causal Circuits in Variational Autoencoders: Why Image-Domain Interpretability Fails on Tabular Data","created":"2026-03-22","cited_by_count":0,"area":null}],"next_cursor":null}