Search Results for author:
Found 5 papers, 2 papers with code
Tur[k]ingBench: A Challenge Benchmark for Web Agents
We evaluate the performance of state-of-the-art models, including language-only, vision-only, and layout-only models, and their combinations, on this benchmark.
Open Data on GitHub: Unlocking the Potential of AI
GitHub is the world's largest platform for collaborative software development, with over 100 million users.
THC: Accelerating Distributed Deep Learning Using Tensor Homomorphic Compression
To address this bottleneck and accelerate training, a widely-deployed approach is compression.
Predicting housing prices and analyzing real estate market in the Chicago suburbs using Machine Learning
In this study, analysis was done on the Naperville/Bolingbrook real estate market to predict property prices based on these housing attributes through machine learning models, and to evaluate the effectiveness of such models in a volatile market space.
Multi-criteria Anomaly Detection using Pareto Depth Analysis
In such a case, multiple criteria can be defined, and one can test for anomalies by scalarizing the multiple criteria by taking some linear combination of them.
