Search Results for author:
Found 5 papers, 3 papers with code
"Understanding Robustness Lottery": A Comparative Visual Analysis of Neural Network Pruning Approaches
Empirical studies show that some heuristics improve performance while others can make models more brittle or have other side effects.
NViSII: A Scriptable Tool for Photorealistic Image Generation
We present a Python-based renderer built on NVIDIA's OptiX ray tracing engine and the OptiX AI denoiser, designed to generate high-quality synthetic images for research in computer vision and deep learning.
Ray Tracing Structured AMR Data Using ExaBricks
Structured Adaptive Mesh Refinement (Structured AMR) enables simulations to adapt the domain resolution to save computation and storage, and has become one of the dominant data representations used by scientific simulations; however, efficiently rendering such data remains a challenge.
Graphics Data Structures and Algorithms
Scalable Topological Data Analysis and Visualization for Evaluating Data-Driven Models in Scientific Applications
With the rapid adoption of machine learning techniques for large-scale applications in science and engineering comes the convergence of two grand challenges in visualization.
Visual Interrogation of Attention-Based Models for Natural Language Inference and Machine Comprehension
Neural networks models have gained unprecedented popularity in natural language processing due to their state-of-the-art performance and the flexible end-to-end training scheme.
