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Learning Markov Clustering Networks for Scene Text Detection.

, , , , , and . CVPR, page 6936-6944. Computer Vision Foundation / IEEE Computer Society, (2018)

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NA2Q: Neural Attention Additive Model for Interpretable Multi-Agent Q-Learning., , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 22539-22558. PMLR, (2023)Correlation Propagation Networks for Scene Text Detection., , , , , and . CoRR, (2018)Protecting Your LLMs with Information Bottleneck., , , , , , , , and . CoRR, (2024)Knowing What Not to Do: Leverage Language Model Insights for Action Space Pruning in Multi-agent Reinforcement Learning., , , , , , , , , and . CoRR, (2024)TimeX++: Learning Time-Series Explanations with Information Bottleneck., , , , , , , , , and . CoRR, (2024)Explaining Time Series via Contrastive and Locally Sparse Perturbations., , , , , , , , , and 1 other author(s). CoRR, (2024)Compressed CSI Feedback With Learned Measurement Matrix for mmWave Massive MIMO., , and . CoRR, (2019)Bottom-Up Scene Text Detection with Markov Clustering Networks., , and . Int. J. Comput. Vis., 128 (6): 1786-1809 (2020)Position: Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems., , , , , and . ICML, OpenReview.net, (2024)NucleiNet: A convolutional encoder-decoder network for bio-image denoising., , , , , , and . EMBC, page 1986-1989. IEEE, (2017)