Christian Igel
27 papers · 2006–2024 · 14 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (14) π Academic Marathon (18) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (7)
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(14)
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Hot Topic Early Bird
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Academic Marathon
(18)
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Keyword Trendsetter Combo
(3)
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Keyword Champion
π₯
Unstoppable
(12)
β‘
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(5)
π
Conference Pioneer
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Century Club
(27)
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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
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 Watsonβs 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