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