principal component analysis

Linguistic versus biological factors governing acoustic voice variation Interspeech 2022 Multi-Dimensional, Nuanced and Subjective - Measuring the Perception of Facial Expressions CVPR 2022 NeuralEF: Deconstructing Kernels by Deep Neural Networks ICML 2022 Neural PCA for Flow-Based Representation Learning IJCAI 2022 Nonparametric Principal Subspace Regression JMLR 2022 PCA-Based Knowledge Distillation Towards Lightweight and Content-Style Balanced Photorealistic Style Transfer Models CVPR 2022 Principal Components Bias in Over-parameterized Linear Models, and its Manifestation in Deep Neural Networks JMLR 2022 Private Matrix Approximation and Geometry of Unitary Orbits COLT 2022 Projected Statistical Methods for Distributional Data on the Real Line with the Wasserstein Metric JMLR 2022 PyMiceTracking: An Open-Source Toolbox for Real-Time Behavioral Neuroscience Experiments CVPR 2022 Residual-Based Sampling for Online Outlier-Robust PCA ICML 2022 Robust Streaming PCA NeurIPS 2022 Subspace Recovery from Heterogeneous Data with Non-isotropic Noise NeurIPS 2022 Tracing and Manipulating intermediate values in Neural Math Problem Solvers EMNLP 2022 Accelerated Combinatorial Search for Outlier Detection with Provable Bound on Sub-Optimality AAAI 2021 A Closer Look at Rotation-Invariant Deep Point Cloud Analysis ICCV 2021 A Comprehensively Tight Analysis of Gradient Descent for PCA NeurIPS 2021 Adversarially Robust Low Dimensional Representations COLT 2021 A Framework for Private Matrix Analysis in Sliding Window Model ICML 2021 A New Robust Subspace Recovery Algorithm (Student Abstract) AAAI 2021 A Note on Sparse Generalized Eigenvalue Problem NeurIPS 2021 Anytime Sampling for Autoregressive Models via Ordered Autoencoding ICLR 2021 A Theoretical Analysis of Catastrophic Forgetting through the NTK Overlap Matrix AISTATS 2021 “Average” Approximates “First Principal Component”? An Empirical Analysis on Representations from Neural Language Models EMNLP 2021 Communication-Efficient Distributed Covariance Sketch, with Application to Distributed PCA JMLR 2021