overfitting prevention

T-LoRA: Single Image Diffusion Model Customization Without Overfitting AAAI 2026 FORGETTER with forgetful hyperparameters and recurring sleeps can continue to learn beyond normal overtfitting limits EMNLP 2025 Improving the Training of Data-Efficient GANs via Quality Aware Dynamic Discriminator Rejection Sampling CVPR 2025 MALoRA: Mixture of Asymmetric Low-Rank Adaptation for Enhanced Multi-Task Learning NAACL 2025 Not All Degradations Are Equal: A Targeted Feature Denoising Framework for Generalizable Image Super-Resolution ICCV 2025 Discriminative Forests Improve Generative Diversity for Generative Adversarial Networks AAAI 2024 Efficient Lifelong Model Evaluation in an Era of Rapid Progress NeurIPS 2024 Rethinking Discount Regularization: New Interpretations, Unintended Consequences, and Solutions for Regularization in Reinforcement Learning JMLR 2024 When to Grow? A Fitting Risk-Aware Policy for Layer Growing in Deep Neural Networks AAAI 2024 AdaVAE: Bayesian Structural Adaptation for Variational Autoencoders NeurIPS 2023 CMA-ES for Post Hoc Ensembling in AutoML: A Great Success and Salvageable Failure AutoML 2023 Do Neural Topic Models Really Need Dropout? Analysis of the Effect of Dropout in Topic Modeling EACL 2023 TokenDrop + BucketSampler: Towards Efficient Padding-free Fine-tuning of Language Models EMNLP 2023 Asynchronous Convergence in Multi-Task Learning via Knowledge Distillation from Converged Tasks NAACL 2022 Automatic Termination for Hyperparameter Optimization AutoML 2022 Preventing Overfitting via Sample Reweighting for Recommender System Incremental Update (Student Abstract) AAAI 2021 Autoencoders that don't overfit towards the Identity NeurIPS 2020 Regularization via Structural Label Smoothing AISTATS 2020 Regularizing Class-Wise Predictions via Self-Knowledge Distillation CVPR 2020 SpeechMix — Augmenting Deep Sound Recognition Using Hidden Space Interpolations Interspeech 2020 Towards a Better Understanding of Label Smoothing in Neural Machine Translation AACL 2020 BPAM: Recommendation Based on BP Neural Network with Attention Mechanism IJCAI 2019 Dimensionality Reduction for Representing the Knowledge of Probabilistic Models ICLR 2019 Guided Dropout AAAI 2019 Learning to Learn From Noisy Labeled Data CVPR 2019