conftrace
_
Papers
Trends
Conferences
Explore
More
Authors
Topics
Keywords
Insights
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Insights
Achievements
Home
›
Keywords
›
overfitting mitigation
overfitting mitigation
21 papers
Explore in graph
Co-occurring keywords
few-shot learning
(3398)
data augmentation
(3052)
image classification
(1944)
convolutional neural network
(4226)
low-resource learning
(203)
knowledge distillation
(3725)
feature learning
(1311)
representation learning
(6206)
cooperative agent
(7)
partner diversity
(1)
Papers
MetaMixSpeech: Meta Task Augmentation for Low-Resource Speech Recognition
EMNLP 2025
Improving the Training of Data-Efficient GANs via Quality Aware Dynamic Discriminator Rejection Sampling
CVPR 2025
APT: Adaptive Personalized Training for Diffusion Models with Limited Data
CVPR 2025
TTE: Two Tokens Are Enough to Improve Parameter-Efficient Tuning
AAAI 2025
How to Mitigate Overfitting in Weak-to-strong Generalization?
ACL 2025
Sparsity Outperforms Low-Rank Projections in Few-Shot Adaptation
ICCV 2025
Residual Dropout: A Simple Approach to Improve Transformer’s Data Efficiency
COLING 2024
Catch-Up Mix: Catch-Up Class for Struggling Filters in CNN
AAAI 2024
Mitigating Overfitting in Structured Pruning of ASR Models with Gradient-Guided Parameter Regularization
INTERSPEECH 2024
A Comprehensive Augmentation Framework for Anomaly Detection
AAAI 2024
Diversity Is Not All You Need: Training A Robust Cooperative Agent Needs Specialist Partners
NIPS 2024
Revive Re-weighting in Imbalanced Learning by Density Ratio Estimation
NIPS 2024
Calibrating a Deep Neural Network with Its Predecessors
IJCAI 2023
Label Hallucination for Few-Shot Classification
AAAI 2022
Embedding Hallucination for Few-shot Language Fine-tuning
NAACL 2022
Margin-Based Few-Shot Class-Incremental Learning with Class-Level Overfitting Mitigation
NIPS 2022
Variational Information Bottleneck for Effective Low-Resource Audio Classification
INTERSPEECH 2021
Generalized Entropy Regularization or: There’s Nothing Special about Label Smoothing
ACL 2020
Mitigating Overfitting in Supervised Classification from Two Unlabeled Datasets: A Consistent Risk Correction Approach
AISTATS 2020
Model Similarity Mitigates Test Set Overuse
NIPS 2019
Stochastic Shake-Shake Regularization for Affective Learning from Speech
INTERSPEECH 2018
<
1
>