Summary of Collapse or Thrive? Perils and Promises Of Synthetic Data in a Self-generating World, by Joshua Kazdan et al.
Collapse or Thrive? Perils and Promises of Synthetic Data in a Self-Generating Worldby Joshua Kazdan,…
Collapse or Thrive? Perils and Promises of Synthetic Data in a Self-Generating Worldby Joshua Kazdan,…
CK4Gen: A Knowledge Distillation Framework for Generating High-Utility Synthetic Survival Datasets in Healthcareby Nicholas I-Hsien…
Graph Transformers Dream of Electric Flowby Xiang Cheng, Lawrence Carin, Suvrit SraFirst submitted to arxiv…
SoftSRV: Learn to Generate Targeted Synthetic Databy Giulia DeSalvo, Jean-Fracois Kagy, Lazaros Karydas, Afshin Rostamizadeh,…
Data Augmentation via Diffusion Model to Enhance AI Fairnessby Christina Hastings Blow, Lijun Qian, Camille…
Amortized Probabilistic Conditioning for Optimization, Simulation and Inferenceby Paul E. Chang, Nasrulloh Loka, Daolang Huang,…
Hybrid Memory Replay: Blending Real and Distilled Data for Class Incremental Learningby Jiangtao Kong, Jiacheng…
How Does Data Diversity Shape the Weight Landscape of Neural Networks?by Yang Ba, Michelle V.…
Tensor Decomposition with Unaligned Observationsby Runshi Tang, Tamara Kolda, Anru R. ZhangFirst submitted to arxiv…
A Little Human Data Goes A Long Wayby Dhananjay Ashok, Jonathan MayFirst submitted to arxiv…