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Scaling Deep Contrastive Learning Batch Size with Almost Constant Peak Memory Usage.

, and . CoRR, (2021)

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Self-Refine: Iterative Refinement with Self-Feedback., , , , , , , , , and 5 other author(s). CoRR, (2023)Is Your Language Model Ready for Dense Representation Fine-tuning?, and . CoRR, (2021)Tevatron: An Efficient and Flexible Toolkit for Dense Retrieval., , , and . CoRR, (2022)A Self-enhancement Approach for Domain-specific Chatbot Training via Knowledge Mining and Digest., , , , , , , , and . CoRR, (2023)Spatiotemporal Traffic Modeling Based on Frequent Pattern Mining in Wireless Cellular Network., , , and . iThings/GreenCom/CPSCom/SmartData, page 60-67. IEEE Computer Society, (2017)Complement Lexical Retrieval Model with Semantic Residual Embeddings., , , , , and . ECIR (1), volume 12656 of Lecture Notes in Computer Science, page 146-160. Springer, (2021)Scaling Deep Contrastive Learning Batch Size under Memory Limited Setup., , , and . RepL4NLP@ACL-IJCNLP, page 316-321. Association for Computational Linguistics, (2021)Scaling Deep Contrastive Learning Batch Size with Almost Constant Peak Memory Usage., and . CoRR, (2021)Tevatron: An Efficient and Flexible Toolkit for Neural Retrieval., , , and . SIGIR, page 3120-3124. ACM, (2023)Condenser: a Pre-training Architecture for Dense Retrieval., and . EMNLP (1), page 981-993. Association for Computational Linguistics, (2021)