Hendrik Strobelt

14 papers · 2018–2025 · 6 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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🗺️ Taxonomy Completionist (32) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird

🏆 Keyword Champion (2) 🧭 Keyword Pioneer 👥 Mega-Team · Legion 🌈 Renaissance Researcher (5) 🔥 Unstoppable · Bronze 🗃️ Keyword Collector (70) 💎 Century Club · Bronze

Venues

ACL (4) EMNLP (3) NeurIPS (3) ICCV (2) ICLR (1) IJCAI (1)

Top co-authors

Sebastian Gehrmann (6) Benjamin Hoover (6) Duen Horng Chau (3) Dmitry Krotov (2) Aman Madaan (2) David Bau (2) Khyathi Raghavi Chandu (2) Antonio Torralba (2) Kaustubh Dhole (2) Vitaly Nikolaev (2)

Research topics

Deep Learning (10) Artificial Intelligence (7) Core AI (6) Machine Learning (5) Natural Language Processing (5) Architectures (5) Models (5) Optimization & Theory (4) Computer Vision (3) Applications (3) Learning Types (3) Analysis (2) Core Methods (2) Generation (2) Resources & Methods (2)

Keywords

attention mechanism (3) natural language generation (2) attention visualization (2) associative memory (2) language model (2) evaluation metric (2) generative model (2) knowledge distillation (1) model debugging (1) feature extraction (1) contextual representation (1) probability distribution (1) network visualization (1) pattern storage (1) graph anomaly detection (1) diffusion model (1) energy function (1) image completion (1) hopfield network (1) machine translation (1)

Papers

LeGrad: An Explainability Method for Vision Transformers via Feature Formation Sensitivity ICCV 2025 Multi-Level Explanations for Generative Language Models ACL 2025 Dense Associative Memory Through the Lens of Random Features NeurIPS 2024 Interactive Visual Learning for Stable Diffusion IJCAI 2024 Energy Transformer NeurIPS 2023 GEMv2: Multilingual NLG Benchmarking in a Single Line of Code EMNLP 2022 LMdiff: A Visual Diff Tool to Compare Language Models EMNLP 2021 The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics ACL 2021 CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models NeurIPS 2020 exBERT: A Visual Analysis Tool to Explore Learned Representations in Transformer Models ACL 2020 GAN Dissection: Visualizing and Understanding Generative Adversarial Networks ICLR 2019 GLTR: Statistical Detection and Visualization of Generated Text ACL 2019 Seeing What a GAN Cannot Generate ICCV 2019 Debugging Sequence-to-Sequence Models with Seq2Seq-Vis EMNLP 2018