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cuDNN: Efficient Primitives for Deep Learning., , , , , , and . CoRR, (2014)Graphical Contrastive Losses for Scene Graph Generation., , , , and . CoRR, (2019)Mellotron: Multispeaker Expressive Voice Synthesis by Conditioning on Rhythm, Pitch and Global Style Tokens., , , and . ICASSP, page 6189-6193. IEEE, (2020)One TTS Alignment to Rule Them All., , , , , and . ICASSP, page 6092-6096. IEEE, (2022)Any-to-Any Voice Conversion with F0 and Timbre Disentanglement and Novel Timbre Conditioning., , , and . ICASSP, page 1-5. IEEE, (2023)Panoptic-Based Image Synthesis., , , , and . CVPR, page 8067-8076. Computer Vision Foundation / IEEE, (2020)Evaluating Parameter Efficient Learning for Generation., , , , , , , , and . EMNLP, page 4824-4833. Association for Computational Linguistics, (2022)RankRAG: Unifying Context Ranking with Retrieval-Augmented Generation in LLMs., , , , , , , and . CoRR, (2024)NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models., , , , , , and . CoRR, (2024)Reuse, Don't Retrain: A Recipe for Continued Pretraining of Language Models., , , , and . CoRR, (2024)