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Mixture Density Generative Adversarial Networks., , и . CoRR, (2018)Rethinking data augmentation for adversarial robustness., , , , , , , и . Inf. Sci., (января 2024)Feature-combination hybrid recommender systems for automated music playlist continuation., , , , , и . User Model. User-Adapt. Interact., 29 (2): 527-572 (2019)A Dataset Perspective on Offline Reinforcement Learning., , , , , , , и . CoLLAs, том 199 из Proceedings of Machine Learning Research, стр. 470-517. PMLR, (2022)Efficient Training of Audio Transformers with Patchout., , , и . INTERSPEECH, стр. 2753-2757. ISCA, (2022)History Compression via Language Models in Reinforcement Learning., , , , , , , и . ICML, том 162 из Proceedings of Machine Learning Research, стр. 17156-17185. PMLR, (2022)Likelihood Estimation for Generative Adversarial Networks., и . CoRR, (2017)Music Playlist Continuation by Learning from Hand-Curated Examples and Song Features: Alleviating the Cold-Start Problem for Rare and Out-of-Set Songs., , , , и . DLRS@RecSys, стр. 46-54. ACM, (2017)Audio-visual encoding of multimedia content for enhancing movie recommendations., , , , , и . RecSys, стр. 455-459. ACM, (2018)The Receptive Field as a Regularizer in Deep Convolutional Neural Networks for Acoustic Scene Classification., , , и . EUSIPCO, стр. 1-5. IEEE, (2019)