conftrace_

stochastic training

8 papers

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Co-occurring keywords · papers mentioning both

neighbor sampling (1) partial area under the roc curve (1) multi-mode automatic speech recognition (1) neural network (1) mixout regularization (1) layerwise sampling (1) diverse sequence generation (1) stochastic depth (1) transformer transducer (1) partial auc (1)

Papers

High-Rate Mixout: Revisiting Mixout for Robust Domain Generalization WACV 2026 Learning Noisy OR Bayesian Networks with Max-Product Belief Propagation ICML 2023 Multi-Mode Transformer Transducer with Stochastic Future Context Interspeech 2021 When All We Need is a Piece of the Pie: A Generic Framework for Optimizing Two-way Partial AUC ICML 2021 Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks NeurIPS 2019 Mixture Content Selection for Diverse Sequence Generation EMNLP 2019 Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers ICLR 2018 Swapout: Learning an ensemble of deep architectures NeurIPS 2016