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Does Data Augmentation Lead to Positive Margin?

, , , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 5321-5330. PMLR, (2019)

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An Exponential Improvement on the Memorization Capacity of Deep Threshold Networks., , , and . NeurIPS, page 12674-12685. (2021)Minibatch vs Local SGD with Shuffling: Tight Convergence Bounds and Beyond., , and . ICLR, OpenReview.net, (2022)Looped Transformers as Programmable Computers., , , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 11398-11442. PMLR, (2023)Closing the convergence gap of SGD without replacement., , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 7964-7973. PMLR, (2020)Recommender Systems with Generative Retrieval., , , , , , , , , and 3 other author(s). CoRR, (2023)Convergence and Margin of Adversarial Training on Separable Data., , , and . CoRR, (2019)Minibatch vs Local SGD with Shuffling: Tight Convergence Bounds and Beyond., , and . CoRR, (2021)Utilizing Language-Image Pretraining for Efficient and Robust Bilingual Word Alignment., , , , , , , and . EMNLP (Findings), page 154-168. Association for Computational Linguistics, (2022)Optimal Lottery Tickets via Subset Sum: Logarithmic Over-Parameterization is Sufficient., , , , and . NeurIPS, (2020)LIFT: Language-Interfaced Fine-Tuning for Non-language Machine Learning Tasks., , , , , , , , and . NeurIPS, (2022)