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Found 9 papers, 1 papers with code
SAIBench: A Structural Interpretation of AI for Science Through Benchmarks
Artificial Intelligence for Science (AI4S) is an emerging research field that utilizes machine learning advancements to tackle complex scientific computational issues, aiming to enhance computational efficiency and accuracy.
Does AI for science need another ImageNet Or totally different benchmarks? A case study of machine learning force fields
This suite of metrics has demonstrated a better ability to assess a model's performance in real-world scientific applications, in contrast to traditional AI benchmarking methodologies.
SAIBench: Benchmarking AI for Science
Scientific research communities are embracing AI-based solutions to target tractable scientific tasks and improve research workflows.
How could Neural Networks understand Programs?
Inspired by this, we propose a novel program semantics learning paradigm, that the model should learn from information composed of (1) the representations which align well with the fundamental operations in operational semantics, and (2) the information of environment transition, which is indispensable for program understanding.
Taking Notes on the Fly Helps Language Pre-Training
In this paper, we focus on improving the efficiency of language pre-training methods through providing better data utilization.
Taking Notes on the Fly Helps BERT Pre-training
In this paper, we focus on improving the efficiency of language pre-training methods through providing better data utilization.
AIBench Training: Balanced Industry-Standard AI Training Benchmarking
We use real-world benchmarks to cover the factors space that impacts the learning dynamics to the most considerable extent.
AIBench: An Agile Domain-specific Benchmarking Methodology and an AI Benchmark Suite
An end-to-end benchmark is a distillation of the essential attributes of an industry-scale application.
AIBench: An Industry Standard Internet Service AI Benchmark Suite
On the basis of the AIBench framework, abstracting the real-world data sets and workloads from one of the top e-commerce providers, we design and implement the first end-to-end Internet service AI benchmark, which contains the primary modules in the critical paths of an industry scale application and is scalable to deploy on different cluster scales.
