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invariance learning

19 papers

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Co-occurring keywords

data augmentation (3052) convolutional neural network (4226) image classification (1944) representation learning (6206) kernel methods (1097) neural network (6616) marginal likelihood (75) variational inference (2069) bayesian model selection (22) convolutional network (239)

Papers

Improving Prompt Generalization for Cross-prompt Essay Trait Scoring from the Scoring-invariance Perspective EMNLP 2025
The Implicit Bias of Heterogeneity towards Invariance: A Study of Multi-Environment Matrix Sensing NIPS 2024
Learning to Transform for Generalizable Instance-wise Invariance ICCV 2023
VICRegL: Self-Supervised Learning of Local Visual Features NIPS 2022
Deep invariant networks with differentiable augmentation layers NIPS 2022
Last Layer Marginal Likelihood for Invariance Learning AISTATS 2022
Invariance Learning in Deep Neural Networks with Differentiable Laplace Approximations NIPS 2022
Invariance Learning based on Label Hierarchy NIPS 2022
Grounding inductive biases in natural images: invariance stems from variations in data NIPS 2021
Learning with invariances in random features and kernel models COLT 2021
Learning Invariances in Neural Networks from Training Data NIPS 2020
Non-Parametric Transformation Networks for Learning General Invariances from Data AAAI 2019
Learning to Exploit Invariances in Clinical Time-Series Data using Sequence Transformer Networks MLHC 2018
Learning Invariances using the Marginal Likelihood NIPS 2018
iLab-20M: A Large-Scale Controlled Object Dataset to Investigate Deep Learning CVPR 2016
Direct Modeling of Complex Invariances for Visual Object Features ICML 2013
Learning with Invariance via Linear Functionals on Reproducing Kernel Hilbert Space NIPS 2013
On Nonparametric Guidance for Learning Autoencoder Representations AISTATS 2012
Convex Learning with Invariances NIPS 2007