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Matthias Hein

80 papers · 2006–2025 · 11 venues · across top CS/AI venues

This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 11 separate collaboration groups - the largest holds only 41% of them. Pick the group below that matches the researcher you mean. How a shared name is split.

Achievements are not shown for a combined profile - each one describes a single researcher's record, which this is not.

Which Matthias Hein?

8 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.

with Bernt Schiele, Quynh Nguyen, Francesco Tudisco 22 papers · 2014–2021 · CVPR, ICML, NeurIPS Hide ▲
Relating Adversarially Robust Generalization to Flat Minima ICCV 2021 Confidence-Calibrated Adversarial Training: Generalizing to Unseen Attacks ICML 2020 Disentangling Adversarial Robustness and Generalization CVPR 2019 Generalized Matrix Means for Semi-Supervised Learning with Multilayer Graphs NeurIPS 2019 On the loss landscape of a class of deep neural networks with no bad local valleys ICLR 2019 Spectral Clustering of Signed Graphs via Matrix Power Means ICML 2019 Neural Networks Should Be Wide Enough to Learn Disconnected Decision Regions ICML 2018 Optimization Landscape and Expressivity of Deep CNNs ICML 2018 The Power Mean Laplacian for Multilayer Graph Clustering AISTATS 2018 Simple Does It: Weakly Supervised Instance and Semantic Segmentation CVPR 2017 The Loss Surface of Deep and Wide Neural Networks ICML 2017 Variants of RMSProp and Adagrad with Logarithmic Regret Bounds ICML 2017 Clustering Signed Networks with the Geometric Mean of Laplacians NeurIPS 2016 Globally Optimal Training of Generalized Polynomial Neural Networks with Nonlinear Spectral Methods NeurIPS 2016 Latent Embeddings for Zero-Shot Classification CVPR 2016 Loss Functions for Top-k Error: Analysis and Insights CVPR 2016 Weakly Supervised Object Boundaries CVPR 2016 A Flexible Tensor Block Coordinate Ascent Scheme for Hypergraph Matching CVPR 2015 Classifier Based Graph Construction for Video Segmentation CVPR 2015 Efficient Output Kernel Learning for Multiple Tasks NeurIPS 2015 Top-k Multiclass SVM NeurIPS 2015 Scalable Multitask Representation Learning for Scene Classification CVPR 2014
3 papers whose co-authors appear nowhere else under this name
Bias of Stochastic Gradient Descent or the Architecture: Disentangling the Effects of Overparameterization of Neural Networks ICML 2024 Normalization Layers Are All That Sharpness-Aware Minimization Needs NeurIPS 2023 Robust Nonparametric Regression with Metric-Space Valued Output NeurIPS 2009

Venues · all papers under this name

NeurIPS (27) ICML (22) CVPR (10) ICLR (5) AISTATS (4) ICCV (4) ECCV (3) JMLR (2) AAAI (1) MICCAI (1) UAI (1)