conftrace_

Karsten Roth

23 papers · 2019–2025 · 6 conferences · across top CS/AI conferences

Achievements

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+10 more ↓ 🏃 Academic Marathon (6) 🐝 Cross-Pollinator (12) 🌍 Conference Polyglot (6) 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (5)
🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (6) 🏃 Academic Marathon (6) 🤝 Dynamic Duo (15) 👑 Triple Crown 🔥 Unstoppable (7) 💎 Century Club (23) Prolific Year (5) The Questioner (2) 🗃️ Keyword Collector (56)

Conferences

CVPR (6) ICLR (5) ICML (4) ECCV (3) NIPS (3) ICCV (2)

Papers

Disentangled Representation Learning with the Gromov-Monge Gap ICLR 2025 How to Merge Your Multimodal Models Over Time? CVPR 2025 Context-Aware Multimodal Pretraining CVPR 2025 WikiBigEdit: Understanding the Limits of Lifelong Knowledge Editing in LLMs ICML 2025 Improving Intervention Efficacy via Concept Realignment in Concept Bottleneck Models ECCV 2024 ReNO: Enhancing One-step Text-to-Image Models through Reward-based Noise Optimization NIPS 2024 A Practitioner's Guide to Real-World Continual Multimodal Pretraining NIPS 2024 Vision-by-Language for Training-Free Compositional Image Retrieval ICLR 2024 Fantastic Gains and Where to Find Them: On the Existence and Prospect of General Knowledge Transfer between Any Pretrained Model ICLR 2024 ETHER: Efficient Finetuning of Large-Scale Models with Hyperplane Reflections ICML 2024 Waffling Around for Performance: Visual Classification with Random Words and Broad Concepts ICCV 2023 Disentanglement of Correlated Factors via Hausdorff Factorized Support ICLR 2023 Non-Isotropy Regularization for Proxy-Based Deep Metric Learning CVPR 2022 Integrating Language Guidance Into Vision-Based Deep Metric Learning CVPR 2022 Is Fairness Only Metric Deep? Evaluating and Addressing Subgroup Gaps in Deep Metric Learning ICLR 2022 A Non-Isotropic Probabilistic Take On Proxy-Based Deep Metric Learning ECCV 2022 Towards Total Recall in Industrial Anomaly Detection CVPR 2022 Simultaneous Similarity-based Self-Distillation for Deep Metric Learning ICML 2021 Characterizing Generalization under Out-Of-Distribution Shifts in Deep Metric Learning NIPS 2021 Revisiting Training Strategies and Generalization Performance in Deep Metric Learning ICML 2020 PADS: Policy-Adapted Sampling for Visual Similarity Learning CVPR 2020 DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning ECCV 2020 MIC: Mining Interclass Characteristics for Improved Metric Learning ICCV 2019