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MiniMax Entropy Network: Learning Category-Invariant Features for Domain Adaptation.

, , , and . CoRR, (2019)

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Dynamic and Static Context-Aware LSTM for Multi-agent Motion Prediction., , , and . ECCV (21), volume 12366 of Lecture Notes in Computer Science, page 547-563. Springer, (2020)Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies., , , , , , , and . CoRR, (2024)D2O: Dynamic Discriminative Operations for Efficient Generative Inference of Large Language Models., , , , , , , , , and . CoRR, (2024)UPop: Unified and Progressive Pruning for Compressing Vision-Language Transformers., , , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 31292-31311. PMLR, (2023)FAT: Learning Low-Bitwidth Parametric Representation via Frequency-Aware Transformation., , , , , and . CoRR, (2021)Source-free domain adaptation with unrestricted source hypothesis., , , and . Pattern Recognit., (2024)DyBit: Dynamic Bit-Precision Numbers for Efficient Quantized Neural Network Inference., , , , , , , , , and . CoRR, (2023)LiteGT: Efficient and Lightweight Graph Transformers., , and . CIKM, page 161-170. ACM, (2021)BATMANN: A Binarized-All-Through Memory-Augmented Neural Network for Efficient In-Memory Computing., , , , , , , and . ASICON, page 1-4. IEEE, (2021)FAT: Frequency-Aware Transformation for Bridging Full-Precision and Low-Precision Deep Representations., , , , , and . IEEE Trans. Neural Networks Learn. Syst., 35 (2): 2640-2654 (February 2024)