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D4: Improving LLM Pretraining via Document De-Duplication and Diversification., , , and . CoRR, (2023)PUG: Photorealistic and Semantically Controllable Synthetic Data for Representation Learning., , , , , and . CoRR, (2023)Analyzing biological and artificial neural networks: challenges with opportunities for synergy?, , and . CoRR, (2018)Towards falsifiable interpretability research., and . CoRR, (2020)One ticket to win them all: generalizing lottery ticket initializations across datasets and optimizers., , , and . NeurIPS, page 4933-4943. (2019)Selectivity considered harmful: evaluating the causal impact of class selectivity in DNNs., and . ICLR, OpenReview.net, (2021)Learning to Make Analogies by Contrasting Abstract Relational Structure., , , , and . ICLR (Poster), OpenReview.net, (2019)Analyzing biological and artificial neural networks: challenges with opportunities for synergy?, , and . Current Opinion in Neurobiology, (2019)Machine Learning, Big Data, and Neuroscience.Are all negatives created equal in contrastive instance discrimination?, , , and . CoRR, (2020)Joslim: Joint Widths and Weights Optimization for Slimmable Neural Networks., , and . ECML/PKDD (3), volume 12977 of Lecture Notes in Computer Science, page 119-134. Springer, (2021)