
Explainable Machine Learning
@ExplainableML
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Institute for Explainable Machine Learning @HelmholtzMunich and Interpretable and Reliable Machine Learning group @TU_Muenchen
Munich, Germany
Joined August 2021
RT @SimonRoschmann: How can we circumvent data scarcity in the time series domain?. We propose to leverage pretrained ViTs (e.g., CLIP, DIN….
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RT @L_Salewski: I am very happy to announce that I successfully defended my PhD thesis with the title "Advancing Multimodal Explainability:….
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RT @robinhesse_: Got a strong XAI paper rejected from ICCV? Submit it to our ICCV eXCV Workshop today—we welcome high-quality work!.🗓️ Subm….
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RT @zeynepakata: It is a great honor to receive the ZukunftsWissen Prize 2025 from the German Academy of the Sciences @Leopoldina with gene….
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5/.BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks (ECCV 2022).Uddeshya Upadhyay* , @ShyamgopalKart1 * , @yanbei_c , Massimiliano Mancini , and @zeynepakata .[Paper]: [Code]:
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4/.KG-SP: Knowledge Guided Simple Primitives for Open World Compositional Zero-Shot Learning (CVPR 2022).@ShyamgopalKart1, Massimiliano Mancini, @zeynepakata .[Paper]: [Code]:
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3/.Vision-by-Language for Training-Free Compositional Image Retrieval (ICLR 2024).@ShyamgopalKart1*, @confusezius*, Massimiliano Mancini, @zeynepakata .[Paper]: [Code]:
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2/.EgoCVR: An Egocentric Benchmark for Fine-Grained Composed Video Retrieval (ECCV 2024).@hummelth_* , @ShyamgopalKart1*, Mariana-Iuliana Georgescu, @zeynepakata .[Paper]: [Code]:
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1/.ReNO: Enhancing One-step Text-to-Image Models through Reward-based Noise Optimization (NeurIPS 2024).@LucaEyring*, @ShyamgopalKart1*, @confusezius , @zeynepakata .[Paper]: [Code]:
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🎓PhD Spotlight: Shyamgopal Karthik. Celebrate @ShyamgopalKart1 , who will defend his PhD on 23rd June! Shyam has been a PhD student @uni_tue since October 2021, supervised by @zeynepakata. His research has been centred around compositionality in vision and language. In
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RT @sukrutrao: Join us in taking stock of the state of the field of explainability in computer vision, at our Workshop on Explainable Com….
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RT @RuiXiao99: Interested in VLM training with synthetic data? Wondering how to unlock fine-grained visual representations from captions?….
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RT @sbdzdz: I'm in Nashville for CVPR and wow, the Music City name is not exaggerated. If you're around, we'll be presenting our work on te….
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RT @confusezius: In Nashville for my last PhD conference 🥲. Come join today 10:30-12:30 in Hall D (#391) to talk insights, tips and tricks….
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(4/4) FLAIR: VLM with Fine-grained Language-informed Image Representations.@RuiXiao99 will present his work on pretraining a CLIP-like model that generates fine-grained image representations. 📍 ExHall D Poster #368.⏲️ Sun 15 Jun 10:30 a.m. CDT — 12:30 p.m. CDT
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(3/4) How to Merge Your Multimodal Models Over Time?.@confusezius will also present this amazing work that introduces a unified framework for temporal model merging. 📍 ExHall D Poster #445.⏲️ Sat 14 Jun 5 p.m. CDT — 7 p.m. CDT
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(2/4) COSMOS: Cross-Modality Self-Distillation for Vision Language Pre-training.@Sanghwa30296060 will present COSMOS, integrating a novel text-cropping strategy and cross-attention module into a self-supervised learning framework. 📍 ExHall D Poster #387.⏲️ Sat 14 Jun 10:30 a.m.
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(1/4) Context-Aware Multimodal Pretraining (Highlight).@confusezius will share his amazing work on how to turn vision-language model from a great zero-shot model for strong few-shot adaptation. 📍 ExHall D Poster #391.⏲️ Fri 13 Jun 10:30 a.m. CDT — 12:30 p.m. CDT
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📢 Landed in Nashville🎺 for #CVPR2025! The EML group is presenting 4 exciting papers — come say hi at our poster sessions! More details in the thread — see you there! 🏁🌟
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7/.Additionally, He also build scholarGPT (, an academic chatbot, that prevents hallucination by retrieving academic sources from 2.25M arXiV pre-prints and properly citing them.
Have you ever wanted a related work section to be written for you? Wait no more, this weeks update to #scholarGPT not only brings a new UI 💻✨, but also enables citations directly after the relevant texts 🎓🔍. 🎥 Watch the demo video to see these features in action! 👀✨
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