Machines and people collaborating together through Jupyter notebooks.
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Updated
Aug 24, 2017 - Python
Machines and people collaborating together through Jupyter notebooks.
Active Learning for TensorFlow
Human-in-the-loop feedback loops within the Rich Context knowledge graph
Release of SPLASH: Dataset for semantic parse correction with natural language feedback in the context of text-to-SQL parsing
Sequential line search in Rust
Fast interactive medical image segmentation
Codes for the EMNLP 2020 paper -- "FIND: Human-in-the-loop Debugging Deep Text Classifiers"
[ICML 2020] Clinician-in-the-Loop Decision Making: Reinforcement Learning with Near-Optimal Set-Valued Policies. https://arxiv.org/abs/2007.12678, https://icml.cc/virtual/2020/poster/5797
In this work, we provide 24 combinations of attack/defense strategies, and visual-based recommenders to 1) access performance alteration on recommendation and 2) empirically verify the effect on final users through offline visual metrics.
wavelet-based Driver Identification through Active Learning (wDIAL)
This is the code for a stochastic environment for human-in-the-loop grasping (ICRA'21).
A list of research papers of explainable machine learning.
A new method for a robot to learn a control objective from human user's directional corrections.
Human in the Loop Anomaly Detection System
Final work of the master's degree course in Artificial Intelligence and Robotics - Sapienza, Rome
Official code repository for "iSEA: An Interactive Pipeline of Semantic Error Analysis for NLP Models"
Knowledge Extraction from Classification Schemes
DataCLUE: 数据为中心的NLP基准和工具包
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