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Domain Generalization

1,834 papers

Papers per year

4
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293
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Papers

Deep Architecture Enhancing Robustness to Noise, Adversarial Attacks, and Cross-Corpus Setting for Speech Emotion Recognition INTERSPEECH 2020
Towards Speech Robustness for Acoustic Scene Classification INTERSPEECH 2020
Domain-Invariant Speaker Vector Projection by Model-Agnostic Meta-Learning INTERSPEECH 2020
Adversarial Separation and Adaptation Network for Far-Field Speaker Verification INTERSPEECH 2020
Learning Complex Spectral Mapping for Speech Enhancement with Improved Cross-Corpus Generalization INTERSPEECH 2020
A Learning Strategy for Contrast-agnostic MRI Segmentation MIDL 2020
DIVA: Domain Invariant Variational Autoencoders MIDL 2020
SketchTransfer: A New Dataset for Exploring Detail-Invariance and the Abstractions Learned by Deep Networks WACV 2020
Plug-and-Play Rescaling Based Crowd Counting in Static Images WACV 2020
Calibrated Domain-Invariant Learning for Highly Generalizable Large Scale Re-Identification WACV 2020
Domain Generalization via Model-Agnostic Learning of Semantic Features NIPS 2019
Self-Critical Reasoning for Robust Visual Question Answering NIPS 2019
Learning Robust Global Representations by Penalizing Local Predictive Power NIPS 2019
Generalization in Generative Adversarial Networks: A Novel Perspective from Privacy Protection NIPS 2019
Adversarial Training and Robustness for Multiple Perturbations NIPS 2019
Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift NIPS 2019
Data Parameters: A New Family of Parameters for Learning a Differentiable Curriculum NIPS 2019
ObjectNet: A large-scale bias-controlled dataset for pushing the limits of object recognition models NIPS 2019
Why Can't I Dance in the Mall? Learning to Mitigate Scene Bias in Action Recognition NIPS 2019
Generalization in Reinforcement Learning with Selective Noise Injection and Information Bottleneck NIPS 2019
Outlier-robust estimation of a sparse linear model using $\ell_1$-penalized Huber's $M$-estimator NIPS 2019
The Cells Out of Sample (COOS) dataset and benchmarks for measuring out-of-sample generalization of image classifiers NIPS 2019
Active Domain Randomization CORL 2019
Robust Optimization over Multiple Domains AAAI 2019
A Domain Generalization Perspective on Listwise Context Modeling AAAI 2019