Lukas Miklautz

7 papers · 2020–2025 · 5 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 · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (15)

Venues

AAAI (2) ICLR (2) ACL (1) EACL (1) IJCAI (1)

Top co-authors

Claudia Plant (5) Benedikt Alkin (2) Sepp Hochreiter (2) Dominik Mautz (2) Sebastian Tschiatschek (2) Christian Böhm (2) Kevin Sidak (2) Collin Leiber (2) Benjamin Roth (2) Andreas Stephan (2)

Research topics

Machine Learning (7) Core Methods (6) Learning Types · Machine Learning (5) Deep Learning (4) Architectures (4) Learning Types · Deep Learning (3) Artificial Intelligence (1) Computer Vision (1) Core AI (1) Generation (1) Techniques (1)

Keywords

representation learning (3) image clustering (3) deep clustering (3) linear probing (2) contrastive learning (2) vision transformer (2) instance discrimination (2) hierarchical clustering (1) visual question answering (1) centroid-based clustering (1) unsupervised clustering (1) latent representation (1) latent space (1) vision-language model (1) feature extraction (1) masked autoencoder (1) cluster assignment (1) contrastive loss (1) consensus clustering (1) reclustering barrier (1)

Papers

Breaking the Reclustering Barrier in Centroid-based Deep Clustering ICLR 2025 MIM-Refiner: A Contrastive Learning Boost from Intermediate Pre-Trained Masked Image Modeling Representations ICLR 2025 Contrastive Tuning: A Little Help to Make Masked Autoencoders Forget AAAI 2024 Text-Guided Alternative Image Clustering ACL 2024 Text-Guided Image Clustering EACL 2024 Details (Don't) Matter: Isolating Cluster Information in Deep Embedded Spaces IJCAI 2021 Deep Embedded Non-Redundant Clustering AAAI 2020