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Meta Dropout: Learning to Perturb Latent Features for Generalization.

, , , and . ICLR, OpenReview.net, (2020)

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Ordinal Graphical Models: A Tale of Two Approaches., , and . ICML, volume 70 of Proceedings of Machine Learning Research, page 3260-3269. PMLR, (2017)On NDCG Consistency of Listwise Ranking Methods., , and . AISTATS, volume 15 of JMLR Proceedings, page 618-626. JMLR.org, (2011)Sparsity Normalization: Stabilizing the Expected Outputs of Deep Networks., , , and . CoRR, (2019)Diffusion Video Autoencoders: Toward Temporally Consistent Face Video Editing via Disentangled Video Encoding., , , , , and . CoRR, (2022)No Token Left Behind: Reliable KV Cache Compression via Importance-Aware Mixed Precision Quantization., , , , , , , and . CoRR, (2024)PromptKD: Distilling Student-Friendly Knowledge for Generative Language Models via Prompt Tuning., , and . CoRR, (2024)Stochastic Gradient Methods with Block Diagonal Matrix Adaptation., , and . CoRR, (2019)Saliency Grafting: Innocuous Attribution-Guided Mixup with Calibrated Label Mixing., , , , and . AAAI, page 7957-7965. AAAI Press, (2022)Does it Really Generalize Well on Unseen Data? Systematic Evaluation of Relational Triple Extraction Methods., , , and . NAACL-HLT, page 3849-3858. Association for Computational Linguistics, (2022)Graphical Models via Generalized Linear Models., , , and . NIPS, page 1367-1375. (2012)