PAI Physical AI Notebook 详解 1：基于 Isaac 仿真的操作动作数据扩增与模仿学习
"数据增强" 相关文章
Driving scenario generation and evaluation using a structured layer representation and foundational models
Casing Collar Identification using AlexNet-based Neural Networks for Depth Measurement in Oil and Gas Wells
Mutual Information guided Visual Contrastive Learning
Multimodal Learning with Augmentation Techniques for Natural Disaster Assessment
Detecting Prefix Bias in LLM-based Reward Models
Speak & Spell: LLM-Driven Controllable Phonetic Error Augmentation for Robust Dialogue State Tracking
Not All Data are Good Labels: On the Self-supervised Labeling for Time Series Forecasting
Misspellings in Natural Language Processing: A survey
Finding the Sweet Spot: Optimal Data Augmentation Ratio for Imbalanced Credit Scoring Using ADASYN
Finding the Sweet Spot: Optimal Data Augmentation Ratio for Imbalanced Credit Scoring Using ADASYN
Language Models as Semantic Augmenters for Sequential Recommenders
Language Models as Semantic Augmenters for Sequential Recommenders
JT-Safe: Intrinsically Enhancing the Safety and Trustworthiness of LLMs
JT-Safe: Intrinsically Enhancing the Safety and Trustworthiness of LLMs
Learning from Generalization Patterns: An Evaluation-Driven Approach to Enhanced Data Augmentation for Fine-Tuning Small Language Models
PANER: A Paraphrase-Augmented Framework for Low-Resource Named Entity Recognition
RESample: A Robust Data Augmentation Framework via Exploratory Sampling for Robotic Manipulation
Bridging Symmetry and Robustness: On the Role of Equivariance in Enhancing Adversarial Robustness
Data-Driven Analysis of Intersectional Bias in Image Classification: A Framework with Bias-Weighted Augmentation
