research
∙
09/05/2023
AGIBench: A Multi-granularity, Multimodal, Human-referenced, Auto-scoring Benchmark for Large Language Models
Large language models (LLMs) like ChatGPT have revealed amazing intellig...
share
research
∙
03/14/2023
Traffic4cast at NeurIPS 2022 – Predict Dynamics along Graph Edges from Sparse Node Data: Whole City Traffic and ETA from Stationary Vehicle Detectors
The global trends of urbanization and increased personal mobility force ...
research
∙
03/31/2022
Traffic4cast at NeurIPS 2021 – Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes
The IARAI Traffic4cast competitions at NeurIPS 2019 and 2020 showed that...
research
∙
10/21/2021
CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP
Contrastive learning with the InfoNCE objective is exceptionally success...
research
∙
05/31/2021
A remark on a paper of Krotov and Hopfield [arXiv:2008.06996]
In their recent paper titled "Large Associative Memory Problem in Neurob...
research
∙
08/26/2018
Data Motifs: A Lens Towards Fully Understanding Big Data and AI Workloads
The complexity and diversity of big data and AI workloads make understan...
research
∙
02/01/2018
Data Dwarfs: A Lens Towards Fully Understanding Big Data and AI Workloads
The complexity and diversity of big data and AI workloads make understan...
research
∙
01/19/2017
Random Forest Missing Data Algorithms
Random forest (RF) missing data algorithms are an attractive approach fo...
research
∙
04/05/2016
