Deep Learning
ASPEN: Breaking Operator Barriers for Efficient Parallel Execution of Deep Neural Networks
ASPEN also achieves high resource utilization and memory reuse by letting each resource asynchronously traverse depthwise in the DNN graph to its full computing potential.
On the Use of Anchoring for Training Vision Models
The open-source code is available at - https://software.llnl.gov/anchoring
Would I Lie To You? Inference Time Alignment of Language Models using Direct Preference Heads
Pre-trained Language Models (LMs) exhibit strong zero-shot and in-context learning capabilities; however, their behaviors are often difficult to control.
rPPG-Toolbox: Deep Remote PPG Toolbox
Camera-based physiological measurement is a fast growing field of computer vision.
MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark
However, as models continue to improve, their performance on these benchmarks has begun to plateau, making it increasingly difficult to discern differences in model capabilities.
