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Energy Minimizing-based Token Merging for Accelerating Transformers

, , , , and . Proceedings of Practical ML for Low Resource Settings in Science workshop at ICLR 2024, May 7-11, 2024, Austria, ICLR, (May 2024)

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Distinguishing between hot-spots and melting-pots of genetic diversity using haplotype connectivity., , , and . Algorithms for Molecular Biology, (2010)Joint Self-Supervised Image-Volume Representation Learning with Intra-Inter Contrastive Clustering, , , , , , , , , and . (2023)On the Out of Distribution Robustness of Foundation Models in Medical Image Segmentation, , , , , , , , , and 2 other author(s). (2023)Semi-supervised Learning for Vietnamese Named Entity Recognition using Online Conditional Random Fields., , , and . NEWS@ACL, page 50-55. Association for Computational Linguistics, (2015)Learning from Non-iid Data: Fast Rates for the One-vs-All Multiclass Plug-in Classifiers., , , , and . TAMC, volume 9076 of Lecture Notes in Computer Science, page 375-387. Springer, (2015)3D-Brain Segmentation Using Deep Neural Network and Gaussian Mixture Model., , , and . WACV, page 815-824. IEEE Computer Society, (2017)OASIS: An Active Framework for Set Inversion., , , and . SoMeT, volume 303 of Frontiers in Artificial Intelligence and Applications, page 883-895. IOS Press, (2018)Learning for amalgamation: A multi-source transfer learning framework for sentiment classification., , , , and . Inf. Sci., (2022)SeArch: A Collaborative and Intelligent NIDS Architecture for SDN-Based Cloud IoT Networks., , , , , and . IEEE Access, (2019)Fast learning rates with heavy-tailed losses., , , and . CoRR, (2016)