"data augmentation" Papers
72 papers found • Page 1 of 2
Conference
Alchemy: Amplifying Theorem-Proving Capability Through Symbolic Mutation
Shaonan Wu, Shuai Lu, Yeyun Gong et al.
An Analysis of Causal Effect Estimation using Outcome Invariant Data Augmentation
Uzair Akbar, Niki Kilbertus, Hao Shen et al.
Are Images Indistinguishable to Humans Also Indistinguishable to Classifiers?
Zebin You, Xinyu Zhang, Hanzhong Guo et al.
A Statistical Theory of Contrastive Learning via Approximate Sufficient Statistics
Licong Lin, Song Mei
AugKD: Ingenious Augmentations Empower Knowledge Distillation for Image Super-Resolution
Yun Zhang, Wei Li, Simiao Li et al.
Augmenting Math Word Problems via Iterative Question Composing
Haoxiong Liu, Yifan Zhang, Yifan Luo et al.
BooW-VTON: Boosting In-the-Wild Virtual Try-On via Mask-Free Pseudo Data Training
Xuanpu Zhang, Dan Song, pengxin zhan et al.
DataGen: Unified Synthetic Dataset Generation via Large Language Models
Yue Huang, Siyuan Wu, Chujie Gao et al.
DECT: Harnessing LLM-assisted Fine-Grained Linguistic Knowledge and Label-Switched and Label-Preserved Data Generation for Diagnosis of Alzheimer’s Disease
Tingyu Mo, Jacqueline C. K. Lam, Victor O. K. Li et al.
DexFlyWheel: A Scalable and Self-improving Data Generation Framework for Dexterous Manipulation
Kefei Zhu, Fengshuo Bai, YuanHao Xiang et al.
Doctor Approved: Generating Medically Accurate Skin Disease Images through AI-Expert Feedback
Janet Wang, Yunbei Zhang, Zhengming Ding et al.
DriveGEN: Generalized and Robust 3D Detection in Driving via Controllable Text-to-Image Diffusion Generation
Hongbin Lin, Zilu Guo, Yifan Zhang et al.
Efficient Multi-agent Offline Coordination via Diffusion-based Trajectory Stitching
Lei Yuan, Yuqi Bian, Lihe Li et al.
Enhancing Masked Time-Series Modeling via Dropping Patches
Tianyu Qiu, Yi Xie, Hao Niu et al.
Enhancing Visual Prompting through Expanded Transformation Space and Overfitting Mitigation
Shohei Enomoto
HarmAug: Effective Data Augmentation for Knowledge Distillation of Safety Guard Models
Seanie Lee, Haebin Seong, Dong Bok Lee et al.
HOGSA: Bimanual Hand-Object Interaction Understanding with 3D Gaussian Splatting Based Data Augmentation
Wentian Qu, Jiahe Li, Jian Cheng et al.
HyperMixup: Hypergraph-Augmented with Higher-order Information Mixup
Kaixuan Yao, Zhuo Li, Jianqing Liang et al.
InverseCoder: Self-improving Instruction-Tuned Code LLMs with Inverse-Instruct
Yutong Wu, Di Huang, Wenxuan Shi et al.
Label-Efficient Data Augmentation with Video Diffusion Models for Guidewire Segmentation in Cardiac Fluoroscopy
Shaoyan Pan, Yikang Liu, Lin Zhao et al.
Multi-Perspective Data Augmentation for Few-shot Object Detection
Anh-Khoa Nguyen Vu, Quoc Truong Truong, Vinh-Tiep Nguyen et al.
Non-Asymptotic Analysis Of Data Augmentation For Precision Matrix Estimation
Lucas Morisset, Adrien Hardy, Alain Durmus
PhysAug: A Physical-guided and Frequency-based Data Augmentation for Single-Domain Generalized Object Detection
Xiaoran Xu, Jiangang Yang, Wenhui Shi et al.
Principled Data Augmentation for Learning to Solve Quadratic Programming Problems
Chendi Qian, Christopher Morris
ReCon: Region-Controllable Data Augmentation with Rectification and Alignment for Object Detection
Haowei Zhu, Tianxiang Pan, Rui Qin et al.
RouteLLM: Learning to Route LLMs from Preference Data
Isaac Ong, Amjad Almahairi, Vincent Wu et al.
RTDiff: Reverse Trajectory Synthesis via Diffusion for Offline Reinforcement Learning
Qianlan Yang, Yu-Xiong Wang
Simple, Good, Fast: Self-Supervised World Models Free of Baggage
Jan Robine, Marc Höftmann, Stefan Harmeling
Solving Instance Detection from an Open-World Perspective
Qianqian Shen, Yunhan Zhao, Nahyun Kwon et al.
TaiwanVQA: Benchmarking and Enhancing Cultural Understanding in Vision-Language Models
Hsin Yi Hsieh, Shang-Wei Liu, Chang-Chih Meng et al.
Taste More, Taste Better: Diverse Data and Strong Model Boost Semi-Supervised Crowd Counting
Maochen Yang, Zekun Li, Jian Zhang et al.
TdAttenMix: Top-Down Attention Guided Mixup
Zhiming Wang, Lin Gu, Feng Lu
TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts
Yu-Hao Huang, Chang Xu, Yueying Wu et al.
Truth over Tricks: Measuring and Mitigating Shortcut Learning in Misinformation Detection
Herun Wan, Jiaying Wu, Minnan Luo et al.
Uncertainty and Influence aware Reward Model Refinement for Reinforcement Learning from Human Feedback
Zexu Sun, Yiju Guo, Yankai Lin et al.
ViCTr: Vital Consistency Transfer for Pathology Aware Image Synthesis
Onkar Susladkar, Gayatri Deshmukh, Yalcin Tur et al.
What Do Latent Action Models Actually Learn?
Chuheng Zhang, Tim Pearce, Pushi Zhang et al.
A Comprehensive Augmentation Framework for Anomaly Detection
Lin Jiang, Yaping Yan
Active Generation for Image Classification
Tao Huang, Jiaqi Liu, Shan You et al.
AlignDiff: Aligning Diffusion Models for General Few-Shot Segmentation
Ri-Zhao Qiu, Yu-Xiong Wang, Kris Hauser
An Empirical Study of the Generalization Ability of Lidar 3D Object Detectors to Unseen Domains
George Eskandar
AnomalyDiffusion: Few-Shot Anomaly Image Generation with Diffusion Model
Teng Hu, Jiangning Zhang, Ran Yi et al.
Are Synthetic Data Useful for Egocentric Hand-Object Interaction Detection?
Rosario Leonardi, Antonino Furnari, Francesco Ragusa et al.
A Simple Background Augmentation Method for Object Detection with Diffusion Model
YUHANG LI, Xin Dong, Chen Chen et al.
ATraDiff: Accelerating Online Reinforcement Learning with Imaginary Trajectories
Qianlan Yang, Yu-Xiong Wang
CLAP: Isolating Content from Style through Contrastive Learning with Augmented Prompts
Yichao Cai, Yuhang Liu, Zhen Zhang et al.
Compositional Generalization for Multi-Label Text Classification: A Data-Augmentation Approach
Yuyang Chai, Zhuang Li, Jiahui Liu et al.
Conditionally-Conjugate Gaussian Process Factor Analysis for Spike Count Data via Data Augmentation
Yididiya Nadew, Xuhui Fan, Christopher J Quinn
CyberDemo: Augmenting Simulated Human Demonstration for Real-World Dexterous Manipulation
Jun Wang, Yuzhe Qin, Kaiming Kuang et al.
Data Augmentation via Latent Diffusion for Saliency Prediction
Bahar Aydemir, Deblina Bhattacharjee, Tong Zhang et al.