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Learning to Learn How to Learn: Self-Adaptive Visual Navigation Using Meta-Learning.

, , , , and . CVPR, page 6750-6759. Computer Vision Foundation / IEEE, (2019)

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Diffusion Models as Masked Audio-Video Learners., , , , and . CoRR, (2023)What's Hidden in a Randomly Weighted Neural Network?, , , , and . (2019)cite arxiv:1911.13299.Layer-Wise Data-Free CNN Compression., , , and . CoRR, (2020)Two Body Problem: Collaborative Visual Task Completion., , , , , , , and . CVPR, page 6689-6699. Computer Vision Foundation / IEEE, (2019)Butterfly Transform: An Efficient FFT Based Neural Architecture Design., , , and . CVPR, page 12021-12030. Computer Vision Foundation / IEEE, (2020)Supermasks in Superposition., , , , , , and . NeurIPS, (2020)DKM: Differentiable k-Means Clustering Layer for Neural Network Compression., , , and . ICLR, OpenReview.net, (2022)OpenELM: An Efficient Language Model Family with Open Training and Inference Framework., , , , , , , , , and 1 other author(s). CoRR, (2024)SPIN: An Empirical Evaluation on Sharing Parameters of Isotropic Networks., , , , , , and . ECCV (11), volume 13671 of Lecture Notes in Computer Science, page 553-568. Springer, (2022)(Dynamic) Prompting might be all you need to repair Compressed LLMs., , , , and . CoRR, (2023)