← Authors

Christoph H. Lampert

26 papers · 2011–2025 · 7 conferences · across top CS/AI conferences

Achievements

πŸ—ΊοΈ Taxonomy Completionist (11) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (7) πŸƒ Academic Marathon (14) 🐝 Cross-Pollinator (14) 🌈 Renaissance Researcher (7) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🐺 Lone Wolf (3) πŸ† Keyword Champion 🌱 Topic Pioneer πŸ—ƒοΈ Keyword Collector (130) ⚑ Prolific Year (5) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter πŸ’Ž Century Club (26) πŸ”₯ Unstoppable (5) ❓ The Questioner

Conferences

CVPR (9) NIPS (6) ICML (4) ICCV (3) ICLR (2) ECCV (1) JMLR (1)

Top co-authors

Viktoriia Sharmanska (3) Anastasia Pentina (3) Alexander Kolesnikov (2) Mary Phuong (2) Bernd Prach (2) Paul Henderson (2) Novi Quadrianto (2) Amin Behjati (1) Mayu Sakurada (1) Vladimir Kolmogorov (1)

Keywords

image classification (4) transfer learning (3) generalization bound (3) semi-supervised learning (2) multi-task learning (2) probabilistic modeling (2) domain adaptation (2) privileged information (2) support vector machine (2) multi-label classification (2) maximum margin (2) generative model (2) object classification (2) adversarial robustness (2) feature learning (1) reinforcement learning (1) active learning (1) adversarial learning (1) metric learning (1) representation learning (1)

Papers

Differentially Private Federated $k$-Means Clustering with Server-Side Data ICML 2025
Can LLMs Separate Instructions From Data? And What Do We Even Mean By That? ICLR 2025
More Flexible PAC-Bayesian Meta-Learning by Learning Learning Algorithms ICML 2024
1-Lipschitz Layers Compared: Memory Speed and Certifiable Robustness CVPR 2024
Deep Neural Collapse Is Provably Optimal for the Deep Unconstrained Features Model NIPS 2023
Fairness-Aware PAC Learning from Corrupted Data JMLR 2022
Almost-Orthogonal Layers for Efficient General-Purpose Lipschitz Networks ECCV 2022
Leveraging 2D Data to Learn Textured 3D Mesh Generation CVPR 2020
Unsupervised object-centric video generation and decomposition in 3D NIPS 2020
Functional vs. parametric equivalence of ReLU networks ICLR 2020
Distillation-Based Training for Multi-Exit Architectures ICCV 2019
Learning Intelligent Dialogs for Bounding Box Annotation CVPR 2018
PixelCNN Models with Auxiliary Variables for Natural Image Modeling ICML 2017
Multi-task Learning with Labeled and Unlabeled Tasks ICML 2017
iCaRL: Incremental Classifier and Representation Learning CVPR 2017
A Multi-Plane Block-Coordinate Frank-Wolfe Algorithm for Training Structural SVMs With a Costly Max-Oracle CVPR 2015
Classifier Adaptation at Prediction Time CVPR 2015
Predicting the Future Behavior of a Time-Varying Probability Distribution CVPR 2015
Lifelong Learning with Non-i.i.d. Tasks NIPS 2015
Curriculum Learning of Multiple Tasks CVPR 2015
Deep Fisher Kernels - End to End Learning of the Fisher Kernel GMM Parameters CVPR 2014
Mind the Nuisance: Gaussian Process Classification using Privileged Noise NIPS 2014
Drosophila Embryo Stage Annotation Using Label Propagation ICCV 2013
Learning to Rank Using Privileged Information ICCV 2013
Dynamic Pruning of Factor Graphs for Maximum Marginal Prediction NIPS 2012
Maximum Margin Multi-Label Structured Prediction NIPS 2011