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Once-for-All Adversarial Training: In-Situ Tradeoff between Robustness and Accuracy for Free.

, , , , , и . NeurIPS, (2020)

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Ji Liu

Ji-Gou Liu

Ji-Gou Liu

Ji-Gou Liu

Ji-Gou Liu

 

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Proximal Gradient Temporal Difference Learning: Stable Reinforcement Learning with Polynomial Sample Complexity., , , , , и . J. Artif. Intell. Res., (2018)An Approximate, Efficient LP Solver for LP Rounding., , , , , и . NIPS, стр. 2895-2903. (2013)Once-for-All Adversarial Training: In-Situ Tradeoff between Robustness and Accuracy for Free., , , , , и . NeurIPS, (2020)Multi-granularity Pruning for Model Acceleration on Mobile Devices., , , , , , и . ECCV (11), том 13671 из Lecture Notes in Computer Science, стр. 484-501. Springer, (2022)Transformed Anti-Sparse Hashing., , , , и . BMVC, BMVA Press, (2017)Streaming Bayesian Deep Tensor Factorization., , , , и . ICML, том 139 из Proceedings of Machine Learning Research, стр. 3133-3142. PMLR, (2021)A Private and Finite-Time Algorithm for Solving a Distributed System of Linear Equations., , и . CoRR, (2020)Pansharpening by Combining Enhanced Spatial-Spectral Fidelity and Gradient-Domain Guided Filtering., , , и . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2023)DoubleSqueeze: Parallel Stochastic Gradient Descent with Double-Pass Error-Compensated Compression., , , и . CoRR, (2019)Resilient Distributed Optimization., , , и . CoRR, (2022)