3. 结果可解释性（Result Interpretability）：通过对输出结果的分析，了解深度学习模型是如何从输入数据中...
目前NeuralAI已经发展出许多与大脑十分相似的模型，例如视觉方面的CNN，语言方面的BERT，GPT，学习方面的De...
python data-science machine-learning deep-learning graphs machine-learning-algorithms networkx graph-data graph-analysis graph-machine-learning link-prediction graph-convolutional-networks gcn saliency-map interpretability geometric-deep-learning graph-neural-networks heterogeneous-networks stellargraph-library Upda...
A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity [ICML 2024] [2024.1] [toxicity] [fine-tune] 2023 2022 From Insights to Actions: The Impact of Interpretability and Analysis Research on NLP A Longlist of Theories of Impact for Interpretability ...
Sentiment AnalysisConvolutional Neural Networks (CNNs) have become ubiquitous in many NLP tasks. However, understanding its process is still an area with much to be done. In this paper, we introduce a method to study the interpretability of CNNs when used for text classification. More ...
Recent Neural NLP models like GPT-3 demonstrate impressive performance at many different NLP tasks. However, they can still make dumb mistakes and break in counterintuitive ways, leaving not only end-users but even their developers puzzled at the poor performance. ...
This paper introduces the system of game-theoretic interactions, which connects both the explanation of knowledge encoded in a deep neural networks (DNN) and the explanation of the representation power of a DNN. In this system, we define two game-theoretic interaction indexes, namely the multi-or...
This paper critically engages with the prevalent trend of automating high-level visual reasoning while placing exclusive reliance on visual signals, prominently featuring Convolutional Neural Networks (CNNs). We delve into this trend, scrutinising the knowledge sought by CNNs and the knowledge they ...
Back To Basics, Part Uno: Linear Regression and Cost Function Data Science An illustrated guide on essential machine learning concepts Shreya Rao February 3, 2023 6 min read Must-Know in Statistics: The Bivariate Normal Projection Explained
Statistical analysis was performed in R with the epibasix library. Clinical reasoning rationale logic evaluation The first 100 GPT-4 differential diagnosis rationales were evaluated for appropriate logic and medical accuracy. The rationales were evaluated by physician authors RG and TS, who are both ...