Co-occurring keywords · papers mentioning both
Papers
Scaling Up Dataset Distillation to ImageNet-1K with Constant Memory
ICML 2023
ScanDL: A Diffusion Model for Generating Synthetic Scanpaths on Texts
EMNLP 2023
Self-Guided Noise-Free Data Generation for Efficient Zero-Shot Learning
ICLR 2023
SIRA-PCR: Sim-to-Real Adaptation for 3D Point Cloud Registration
ICCV 2023
Slimmable Dataset Condensation
CVPR 2023
Small Data, Big Impact: Leveraging Minimal Data for Effective Machine Translation
ACL 2023
Squeeze, Recover and Relabel: Dataset Condensation at ImageNet Scale From A New Perspective
NeurIPS 2023
Statistical Theory of Differentially Private Marginal-based Data Synthesis Algorithms
ICLR 2023
SynMob: Creating High-Fidelity Synthetic GPS Trajectory Dataset for Urban Mobility Analysis
NeurIPS 2023
Synthetic Data Can Also Teach: Synthesizing Effective Data for Unsupervised Visual Representation Learning
AAAI 2023
Synthetic data for model selection
ICML 2023
Synthetic Data, Real Errors: How (Not) to Publish and Use Synthetic Data
ICML 2023
Synthetic Experience Replay
NeurIPS 2023
Synthetic Latent Fingerprint Generator
WACV 2023
Synthetic Pre-Training Tasks for Neural Machine Translation
ACL 2023
Synthetic-to-Real Pose Estimation with Geometric Reconstruction
NeurIPS 2023
SynthVSR: Scaling Up Visual Speech Recognition With Synthetic Supervision
CVPR 2023
TabMT: Generating tabular data with masked transformers
NeurIPS 2023
Target-Aware Generative Augmentations for Single-Shot Adaptation
ICML 2023
TexPose: Neural Texture Learning for Self-Supervised 6D Object Pose Estimation
CVPR 2023
The Making and Breaking of Camouflage
ICCV 2023
The Transient Nature of Emergent In-Context Learning in Transformers
NeurIPS 2023
Unsupervised Code-switched Text Generation from Parallel Text
Interspeech 2023
Using Artificial French Data to Understand the Emergence of Gender Bias in Transformer Language Models
EMNLP 2023
Vector Quantized Time Series Generation with a Bidirectional Prior Model
AISTATS 2023