Representation Learning

Span Identification of Epistemic Stance-Taking in Academic Written English ACL 2023 Span-level Aspect-based Sentiment Analysis via Table Filling ACL 2023 Sparse Bayesian optimization AISTATS 2023 Sparse GCA and Thresholded Gradient Descent JMLR 2023 SparseGPT: Massive Language Models Can be Accurately Pruned in One-Shot ICML 2023 Sparse Graph Learning from Spatiotemporal Time Series JMLR 2023 Sparse Instance Conditioned Multimodal Trajectory Prediction ICCV 2023 Sparse Learning of Dynamical Systems in RKHS: An Operator-Theoretic Approach ICML 2023 Sparse Markov Models for High-dimensional Inference JMLR 2023 Sparse Parameterization for Epitomic Dataset Distillation NeurIPS 2023 Sparse PCA: a Geometric Approach JMLR 2023 Sparse PCA Beyond Covariance Thresholding COLT 2023 Sparse Plus Low Rank Matrix Decomposition: A Discrete Optimization Approach JMLR 2023 Sparse Random Networks for Communication-Efficient Federated Learning ICLR 2023 Sparse tree-based Initialization for Neural Networks ICLR 2023 Sparsity-Inducing Categorical Prior Improves Robustness of the Information Bottleneck AISTATS 2023 Spatial Correspondence between Graph Neural Network-Segmented Images MIDL 2023 Spatial Implicit Neural Representations for Global-Scale Species Mapping ICML 2023 Spatially Covariant Lesion Segmentation IJCAI 2023 Spatial-Spectral Transformer for Hyperspectral Image Denoising AAAI 2023 Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation ICML 2023 Spatio-Angular Convolutions for Super-resolution in Diffusion MRI NeurIPS 2023 Spatio-Temporal Crop Aggregation for Video Representation Learning ICCV 2023 Spatio-temporal point processes with deep non-stationary kernels ICLR 2023 Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction AAAI 2023