conftrace_

Jochen Triesch

4 papers · 2020–2024 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze

Venues

MLHC (2) ECCV (1) ICLR (1)

Top co-authors

Diyuan Lu (2) Celine Teuliere (2) Felix Rosenow (2) Sebastian Bauer (2) Valentin Neubert (2) Arthur Aubret (2) Amr Farahat (1) Markus R. Ernst (1) Laura Sophie Costard (1) Lara Sophie Costard (1)

Research topics

Computer Vision (2) Deep Learning (2) Machine Learning (2) Core Methods (2) Learning Types · Machine Learning (2) Architectures (1) Core AI (1) Domain-Specific (1) Learning Types · Deep Learning (1)

Keywords

unsupervised learning (1) representation learning (1) anomaly detection (1) self-supervised learning (1) data augmentation (1) visual representation learning (1) deep convolutional neural network (1) medical diagnosis (1) eeg signal (1) prediction aggregation (1) adversarial autoencoder (1) neural network classification (1) object category learning (1) epileptogenesis detection (1) time-based augmentation (1)

Papers

Self-supervised visual learning from interactions with objects ECCV 2024 Time to augment self-supervised visual representation learning ICLR 2023 Diagnosing Epileptogenesis with Deep Anomaly Detection MLHC 2022 Towards Early Diagnosis of Epilepsy from EEG Data MLHC 2020