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Publikationen

Zeige Ergebnisse 1261 bis 1270 von 14470.

  1. Björn Deiseroth; Manuel Brack; Patrick Schramowski; Kristian Kersting; Samuel Weinbach

    T-FREE: Subword Tokenizer-Free Generative LLMs via Sparse Representations for Memory-Efficient Embeddings

    In: Yaser Al-Onaizan; Mohit Bansal; Yun-Nung Chen (Hrsg.). Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, EMNLP 2024, Miami, FL, USA, November 12-16, 2024. Conference on Empirical Methods in Natural Language Processing (EMNLP), Pages 21829-21851, Association for Computational Linguistics, 2024.

  2. Johannes Czech; Jannis Blüml; Kristian Kersting; Hedinn Steingrimsson

    Representation Matters for Mastering Chess: Improved Feature Representation in AlphaZero Outperforms Switching to Transformers

    In: Ulle Endriss; Francisco S. Melo; Kerstin Bach; Alberto José Bugarín Diz; Jose Maria Alonso-Moral; Senén Barro; Fredrik Heintz (Hrsg.). ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain - Including 13th Conference on Prestigious Applications of Intelligent Systems (PAIS 2024). AAAI Conference on Artificial Intelligence (AAAI), Pages 2378-2385, Frontiers in Artificial Intelligence and Applications, Vol. 392, IOS Press, 2024.

  3. Subarnaduti Paul; Lars-Joel Frey; Roshni Ramanna Kamath; Kristian Kersting; Martin Mundt

    Masked Autoencoders are Efficient Continual Federated Learners

    In: Vincenzo Lomonaco; Stefano Melacci; Tinne Tuytelaars; Sarath Chandar; Razvan Pascanu (Hrsg.). Conference on Lifelong Learning Agents, 29-1 August 2024, University of Pisa, Pisa, Italy. Conference on Lifelong Learning Agents (CoLLAs), Pages 70-85, Proceedings of Machine Learning Research, Vol. 274, PMLR, 2024.

  4. Jonas Seng; Fabian Kalter; Zhongjie Yu; Fabrizio Ventola; Kristian Kersting

    Bi-Level One-Shot Architecture Search for Probabilistic Time Series Forecasting

    In: Katharina Eggensperger; Roman Garnett; Joaquin Vanschoren; Marius Lindauer; Jacob R. Gardner (Hrsg.). International Conference on Automated Machine Learning, 9-12 September 2024, Sorbonne Université, Paris, France. International Conference on Machine Learning (ICML), Pages 10/1-20, Proceedings of Machine Learning Research, Vol. 256, PMLR, 2024.

  5. Hikaru Shindo; Manuel Brack; Gopika Sudhakaran; Devendra Singh Dhami; Patrick Schramowski; Kristian Kersting

    DeiSAM: Segment Anything with Deictic Prompting

    In: Proceedings of the 38th Conference on Neural Information Processing Systems. Neural Information Processing Systems (NeurIPS-2024), Advances in Neural Information Processing Systems, 2024.

  6. Dominik Hintersdorf; Lukas Struppek; Daniel Neider; Kristian Kersting

    Defending Our Privacy with Backdoors

    In: ECAI 2024. European Conference on Artificial Intelligence (ECAI-2024), 27th European Conference on Artificial Intelligence, October 19-24, Santiago de Compostela, Spain, Vol. 392, ISBN 978-1-64368-548-9, IOS Press, 10/2024.

  7. Manuel Brack; Felix Friedrich; Katharina Kornmeier; Linoy Tsaban; Patrick Schramowski; Kristian Kersting; Apolinaros Passos

    LEDITS++: Limitless Image Editing using Text-to-Image Models

    In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). International Conference on Computer Vision and Pattern Recognition (CVPR-2024), 2024.

  8. Quentin Delfosse; Patrick Schramowski; Martin Mundt; Alejandro Molina; Kristian Kersting

    Adaptive Rational Activations to Boost Deep Reinforcement Learning

    In: Proceedings of the International Conference on Representation Learning (ICLR). International Conference on Learning Representations (ICLR-2024), OpenReview.net, 2024.

  9. Lukas Struppek; Dominik Hintersdorf; Kristian Kersting

    Be Careful What You Smooth For: Label Smoothing Can Be a Privacy Shield but Also a Catalyst for Model Inversion Attacks

    In: International Conference on Learning Representations (ICLR). International Conference on Learning Representations (ICLR-2024), OpenReview, 2024.

  10. Lukas Struppek; Minh Hieu Le; Dominik Hintersdorf; Kristian Kersting

    Exploring the Adversarial Capabilities of Large Language Models

    2024.

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