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Lower Bounds and Conditioning of Differentiable Games

, , , and . (2019)cite arxiv:1906.07300Comment: Submitted to NeurIPS 2019.

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ARbis Pictus: A Study of Language Learning with Augmented Reality., , , , , and . CoRR, (2017)Lower Bounds and Conditioning of Differentiable Games, , , and . (2019)cite arxiv:1906.07300Comment: Submitted to NeurIPS 2019.User Perception of Situated Product Recommendations in Augmented Reality., , , , and . Int. J. Semantic Comput., 13 (3): 289-310 (2019)Continual Pre-Training of Large Language Models: How to (re)warm your model?, , , , , , , and . CoRR, (2023)Simple and Scalable Strategies to Continually Pre-train Large Language Models., , , , , , , and . CoRR, (2024)A Study of Situated Product Recommendations in Augmented Reality., , , , and . AIVR, page 35-43. IEEE Computer Society, (2018)ARbis Pictus: A Study of Vocabulary Learning with Augmented Reality., , , , , and . IEEE Trans. Vis. Comput. Graph., 24 (11): 2867-2874 (2018)Towards Out-of-Distribution Adversarial Robustness., , , , , and . CoRR, (2022)Linear Lower Bounds and Conditioning of Differentiable Games., , , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 4583-4593. PMLR, (2020)Predicting Penetration Across the Blood-Brain Barrier from Simple Descriptors and Fragmentation Schemes., , , , , , , and . J. Chem. Inf. Model., 47 (1): 170-175 (2007)