Abstract:
Papers:
- Generating Synthetic Datasets by Interpolating along Generalized Geodesics
- Synthetic Clinical Trial Data while Preserving Subject-Level Privacy
- Stutter-TTS: Synthetic Generation of Diverse Stuttered Voice Profiles
- ReSPack: A Large-Scale Rectilinear Steiner Tree Packing Data Generator and Benchmark
- Visual Pre-training for Navigation: What Can We Learn from Noise?
- HAPNEST: An efficient tool for generating large-scale genetics datasets from limited training data
- Improving dermatology classifiers across populations using images generated by large diffusion models
- Weakly Supervised Data Augmentation Through Prompting for Dialogue Understanding
- Leading by example: Guiding knowledge transfer with adversarial data augmentation
- Exploring Biases in Facial Expression Analysis
- Noise-Aware Statistical Inference with Differentially Private Synthetic Data
- A source data privacy framework for synthetic clinical trial data
- Approaches to Optimizing Medical Treatment Policy using Temporal Causal Model-Based Simulation
- Entity-Controlled Synthetic Text Generation using Contextual Question and Answering with Pre-trained Language Models
- Distributional Privacy for Data Sharing
- Vine Copula Based Data Generation for Machine Learning With an Application to Industrial Processes
- Systematic review of effect of data augmentation using paraphrasing on Named entity recognition
- PRISIM: Privacy Preserving Synthetic Data Simulator
- Fair Synthetic Data Does not Necessarily Lead to Fair Models
- FARE: Provably Fair Representation Learning
Chat is not available.