Few-shot-NLEs
These are the materials for the paper "Few-Shot Out-of-Domain Transfer Learning of Natural Language Explanations".
You can find the small-e-WinoGrande dataset in the folder with that name.
These are the materials for the paper "Few-Shot Out-of-Domain Transfer Learning of Natural Language Explanations".
You can find the small-e-WinoGrande dataset in the folder with that name.
PyTorch implementation of the paper Ultra Fast Structure-aware Deep Lane Detection
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Malware Env for OpenAI Gym Citing If you use this code in a publication please cite the following paper: Hyrum S. Anderson, Anant Kharkar, Bobby Fila
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Source code of the paper "Deep Learning of Latent Variable Models for Industrial Process Monitoring".
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PyExplainer PyExplainer is a local rule-based model-agnostic technique for generating explanations (i.e., why a commit is predicted as defective) of J
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S³FD: Single Shot Scale-invariant Face Detector A PyTorch Implementation of Single Shot Scale-invariant Face Detector Description Meanwhile train hand
ObjProp Introduction This is the official implementation of the paper "Object Propagation via Inter-Frame Attentions for Temporally Stable Video Insta
Rocket-Classify Rafael Project- Classifying rockets to different types using data science algorithms. In this project we received data base with data
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