conftrace_

dropout regularization

43 papers

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Co-occurring keywords

neural network optimization (1293) neural network (6616) deep neural network (1803) model compression (3302) adaptive dropout (4) nuclear norm (79) recurrent neural network (1790) variational autoencoder (1288) language model (4599) l2 regularization (23)

Papers

Dropout Prompt Learning: Towards Robust and Adaptive Vision-Language Models AAAI 2026
Continuum Dropout for Neural Differential Equations AAAI 2026
Drop Dropout on Single Epoch Language Model Pretraining ACL 2025
Adaptive Dropout: Unleashing Dropout across Layers for Generalizable Image Super-Resolution CVPR 2025
LoRA Meets Dropout under a Unified Framework ACL 2024
Layer-wise Regularized Dropout for Neural Language Models COLING 2024
Dropout Regularization Versus l2-Penalization in the Linear Model JMLR 2024
Efficient and Light-Weight Federated Learning via Asynchronous Distributed Dropout AISTATS 2023
How to use dropout correctly on residual networks with batch normalization UAI 2023
Do Neural Topic Models Really Need Dropout? Analysis of the Effect of Dropout in Topic Modeling EACL 2023
Domain Generalization Guided by Gradient Signal to Noise Ratio of Parameters ICCV 2023
Pyramid Adversarial Training Improves ViT Performance CVPR 2022
LTMD: Learning Improvement of Spiking Neural Networks with Learnable Thresholding Neurons and Moderate Dropout NIPS 2022
Dropout as a Regularizer of Interaction Effects AISTATS 2022
Dropout Regularization for Self-Supervised Learning of Transformer Encoder Speech Representation INTERSPEECH 2021
Joint Inference for Neural Network Depth and Dropout Regularization NIPS 2021
Structured Dropout Variational Inference for Bayesian Neural Networks NIPS 2021
AutoDropout: Learning Dropout Patterns to Regularize Deep Networks AAAI 2021
The Flip Side of the Reweighted Coin: Duality of Adaptive Dropout and Regularization NIPS 2021
On the Regularization Properties of Structured Dropout CVPR 2020
Group-Wise Dynamic Dropout Based on Latent Semantic Variations AAAI 2020
Beyond Dropout: Feature Map Distortion to Regularize Deep Neural Networks AAAI 2020
A Bayesian Nonparametrics View into Deep Representations NIPS 2020
Stochastic Sparse Subspace Clustering CVPR 2020
Exploiting Semi-Supervised Training Through a Dropout Regularization in End-to-End Speech Recognition INTERSPEECH 2019