Code and resources for the 2021 paper "A Corpus Study of Creating Rule-Based Enhanced Universal Dependencies for German"
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Updated
Nov 8, 2021 - Python
Code and resources for the 2021 paper "A Corpus Study of Creating Rule-Based Enhanced Universal Dependencies for German"
Pretrained weights for the method presented in "Amortized Inference for Gaussian Process Hyperparameters of Structured Kernels" (UAI 2023)
Official Implementation of the paper "Multi-Attribute Open Set Recognition" (GCPR 2022)
Companion code for the research paper "CoAug: Combining Augmentation of Labels and Labeling Rules"
Reference implementation of https://arxiv.org/abs/2305.13290
Beauty and the Beast: A Case Study on Performance Prototyping of Data-Intensive Containerized Cloud Applications
Code and resources for the WACV 2024 paper: SciOL and MuLMS-Img: Introducing A Large-Scale Multimodal Scientific Dataset and Models for Image-Text Tasks in the Scientific Domain
Companion code for the work presented in “Training Object Detectors if Only Large Objects are Labeled” (Accepted at BMVC 2021)
Analysis & Modeling of Coordinate Constructions in English Enhanced Universal Dependencies
Code and resources for our WIESP paper "MuLMS: A Multi-Layer Annotated Text Corpus for Information Extraction in the Materials Science Domain"
PyTorch Implementation for exact inference for continuous-time GP dynamics. This is part of the publication "Exact Inference for Continuous-Time Gaussian Process Dynamics" (AAAI 2024)
GPT auto-generated training and evaluation materials for CLAP4Emo framework
Code for our TMLR paper "AutoCLIP: Auto-tuning Zero-Shot Classifiers for Vision-Language Models"
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