low-dimensional representation

Nested Subspace Learning with Flags JMLR 2026 Weighted Embeddings for Low-Dimensional Graph Representation AAAI 2025 A Global Geometric Analysis of Maximal Coding Rate Reduction ICML 2024 From Neurons to Neutrons: A Case Study in Interpretability ICML 2024 Learning Contrastive Embedding in Low-Dimensional Space NeurIPS 2022 Linearity-Aware Subspace Clustering AAAI 2022 Adversarially Robust Low Dimensional Representations COLT 2021 Longitudinal Variational Autoencoder AISTATS 2021 Automatically Learning Compact Quality-aware Surrogates for Optimization Problems NeurIPS 2020 Discriminating Cognitive Disequilibrium and Flow in Problem Solving: A Semi-Supervised Approach Using Involuntary Dynamic Behavioral Signals AAAI 2020 Explaining Groups of Points in Low-Dimensional Representations ICML 2020 Topic Modeling on Document Networks with Adjacent-Encoder AAAI 2020 When Do Neural Networks Outperform Kernel Methods? NeurIPS 2020 Adaptive Geometric Multiscale Approximations for Intrinsically Low-dimensional Data JMLR 2019 A Deep Neural Information Fusion Architecture for Textual Network Embeddings EMNLP 2019 Data-Driven Approach to Multiple-Source Domain Adaptation AISTATS 2019 Landmark Ordinal Embedding NeurIPS 2019 Learning Action Representations for Reinforcement Learning ICML 2019 LDR at SemEval-2018 Task 3: A Low Dimensional Text Representation for Irony Detection SemEval 2018 Learning Plannable Representations with Causal InfoGAN NeurIPS 2018 Provable Gaussian Embedding with One Observation NeurIPS 2018 Learning Neural Representations of Human Cognition across Many fMRI Studies NeurIPS 2017 Tensor Decomposition with Smoothness ICML 2017 Learning Simple Auctions COLT 2016 A Compositional Model for Low-Dimensional Image Set Representation CVPR 2014