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Representation Learning

20,822 papers

Papers per year

2
9
101
309
2011
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Papers

T-Phenotype: Discovering Phenotypes of Predictive Temporal Patterns in Disease Progression AISTATS 2023
Robust Variational Autoencoding with Wasserstein Penalty for Novelty Detection AISTATS 2023
Towards Balanced Representation Learning for Credit Policy Evaluation AISTATS 2023
Learning from Multiple Sources for Data-to-Text and Text-to-Data AISTATS 2023
Sparse Bayesian optimization AISTATS 2023
Bayesian Convolutional Deep Sets with Task-Dependent Stationary Prior AISTATS 2023
Deep Joint Source-Channel Coding with Iterative Source Error Correction AISTATS 2023
Provably Efficient Reinforcement Learning via Surprise Bound AISTATS 2023
Deep Grey-Box Modeling With Adaptive Data-Driven Models Toward Trustworthy Estimation of Theory-Driven Models AISTATS 2023
Likelihood-Based Generative Radiance Field with Latent Space Energy-Based Model for 3D-Aware Disentangled Image Representation AISTATS 2023
Unsupervised representation learning with recognition-parametrised probabilistic models AISTATS 2023
Understanding Multimodal Contrastive Learning and Incorporating Unpaired Data AISTATS 2023
Temporal Graph Neural Networks for Irregular Data AISTATS 2023
Isotropic Gaussian Processes on Finite Spaces of Graphs AISTATS 2023
Mean Parity Fair Regression in RKHS AISTATS 2023
A Unified Perspective on Regularization and Perturbation in Differentiable Subset Selection AISTATS 2023
Fair Representation Learning with Unreliable Labels AISTATS 2023
Neural Discovery of Permutation Subgroups AISTATS 2023
Feasible Recourse Plan via Diverse Interpolation AISTATS 2023
Equivariant Representation Learning via Class-Pose Decomposition AISTATS 2023
Multi-task Representation Learning with Stochastic Linear Bandits AISTATS 2023
Efficient fair PCA for fair representation learning AISTATS 2023
Adversarial Random Forests for Density Estimation and Generative Modeling AISTATS 2023
Robust and Agnostic Learning of Conditional Distributional Treatment Effects AISTATS 2023
Dimensionality Collapse: Optimal Measurement Selection for Low-Error Infinite-Horizon Forecasting AISTATS 2023