← Authors

Christian Igel

27 papers · 2006–2024 · 14 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (7) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (56) 🧭 Keyword Pioneer 🌈 Renaissance Researcher (11) 🌍 Conference Polyglot (14) 🐣 Hot Topic Early Bird πŸƒ Academic Marathon (18) 🌟 Keyword Trendsetter Combo (3) πŸ† Keyword Champion πŸ”₯ Unstoppable (12) ⚑ Prolific Year (5) πŸš€ Conference Pioneer πŸ’Ž Century Club (27) ❓ The Questioner (2) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (127)

Conferences

NIPS (6) ICML (4) AISTATS (3) JMLR (3) ECCV (2) ACML (1) ALT (1) CVPR (1) EACL (1) EMNLP (1) ICCV (1) ICLR (1) IJCAI (1) INTERSPEECH (1)

Top co-authors

Oswin Krause (4) Tobias Glasmachers (4) Yevgeny Seldin (3) Asja Fischer (3) Serge Belongie (2) Anders SΓΈgaard (2) Nico Lang (2) Stephan Lorenzen (2) Fabian Gieseke (2) Andres Masegosa (2)

Keywords

support vector machine (3) quadratic programming (2) kernel matrix (2) multilingual model (2) evolutionary algorithm (2) kullback-leibler divergence (2) multilingual nlp (2) pac-bayesian bound (2) weighted majority vote (2) neural network (2) adversarial learning (1) sentiment analysis (1) text classification (1) maximum margin clustering (1) bayesian inference (1) image classification (1) active learning (1) feature extraction (1) multi-label classification (1) ensemble learning (1)

Papers

From Coarse to Fine-Grained Open-Set Recognition CVPR 2024
Smooth Min-Max Monotonic Networks ICML 2024
Finding NEM-U: Explaining unsupervised representation learning through neural network generated explanation masks ICML 2024
MMEarth: Exploring Multi-Modal Pretext Tasks For Geospatial Representation Learning ECCV 2024
BMRS: Bayesian Model Reduction for Structured Pruning NIPS 2024
MultiFin: A Dataset for Multilingual Financial NLP EACL 2023
Information Bottleneck: Exact Analysis of (Quantized) Neural Networks ICLR 2022
Are Multilingual Sentiment Models Equally Right for the Right Reasons? EMNLP 2022
Chebyshev-Cantelli PAC-Bayes-Bennett Inequality for the Weighted Majority Vote NIPS 2021
On the convergence of the Metropolis algorithm with fixed-order updates for multivariate binary probability distributions AISTATS 2021
Algorithms for Estimating the Partition Function of Restricted Boltzmann Machines (Extended Abstract) IJCAI 2020
Do End-to-End Speech Recognition Models Care About Context? INTERSPEECH 2020
Label-similarity Curriculum Learning ECCV 2020
Second Order PAC-Bayesian Bounds for the Weighted Majority Vote NIPS 2020
A Loss Function for Generative Neural Networks Based on Watson’s Perceptual Model NIPS 2020
U-Time: A Fully Convolutional Network for Time Series Segmentation Applied to Sleep Staging NIPS 2019
Robust Active Label Correction AISTATS 2018
A Strongly Quasiconvex PAC-Bayesian Bound ALT 2017
A Unified View on Multi-class Support Vector Classification JMLR 2016
CMA-ES with Optimal Covariance Update and Storage Complexity NIPS 2016
Computational Complexity of Linear Large Margin Classification With Ramp Loss AISTATS 2015
Buffer k-d Trees: Processing Massive Nearest Neighbor Queries on GPUs ICML 2014
Approximation properties of DBNs with binary hidden units and real-valued visible units ICML 2013
Polynomial Runtime Bounds for Fixed-Rank Unsupervised Least-Squares Classification ACML 2013
Shape Index Descriptors Applied to Texture-Based Galaxy Analysis ICCV 2013
Shark JMLR 2008
Maximum-Gain Working Set Selection for SVMs JMLR 2006