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CLIP the Bias: How Useful is Balancing Data in Multimodal Learning?, , , , , и . CoRR, (2024)Performance Portability Evaluation of Blocked Stencil Computations on GPUs., , , , , , и . SC Workshops, стр. 1005-1018. ACM, (2023)Tensor Iterators for Flexible High-Performance Tensor Computation., , , , и . LCPC, том 13829 из Lecture Notes in Computer Science, стр. 22-28. Springer, (2022)A Self-Supervised Descriptor for Image Copy Detection., , , , и . CVPR, стр. 14512-14522. IEEE, (2022)Scaling and Benchmarking Self-Supervised Visual Representation Learning., , , и . ICCV, стр. 6390-6399. IEEE, (2019)Fairness Indicators for Systematic Assessments of Visual Feature Extractors., , , , и . FAccT, стр. 70-88. ACM, (2022)A Study on 5G Evolution and Revolution, и . International Journal of Computer Networks and Applications (IJCNA), 2 (2): 106-112 (апреля 2015)Unsupervised Learning of Visual Features by Contrasting Cluster Assignments., , , , , и . NeurIPS, (2020)Focal Loss for Dense Object Detection., , , , и . IEEE Trans. Pattern Anal. Mach. Intell., 42 (2): 318-327 (2020)The Next 700 Accelerated Layers: From Mathematical Expressions of Network Computation Graphs to Accelerated GPU Kernels, Automatically., , , , , , , , и . ACM Trans. Archit. Code Optim., 16 (4): 38:1-38:26 (2020)