Today, computer vision is one of the hottest subfields of artificial intelligence and machine learning given its wide variety of applications and tremendous potential. It’s a goal to replicate the powerful capacities of human vision. Computer vision system must recognize the present objects and their...
SHAP has specific support for natural language models like those in the Hugging Face transformers library. By adding coalitional rules to traditional Shapley values we can form games that explain large modern NLP model using very few function evaluations. Using this functionality is as simple as pass...
SHAP has specific support for natural language models like those in the Hugging Face transformers library. By adding coalitional rules to traditional Shapley values we can form games that explain large modern NLP model using very few function evaluations. Using this functionality is as simple as pass...
Photo: Using a headsetmicrophonelike this makes a huge difference to the accuracy of speech recognition: it reduces background sound, making it much easier for the computer to separate the signal (the all-important words you're speaking) from the noise (everything else). How do computers reco...
I started using Pytorch to train my models back in early 2018 with 0.3.1 release. I got hooked by the Pythonic feel, ease of use and flexibility.
Shapley value is used for a wide range of problems that question the contribution of each worker/feature in a group. To understand how Shapley value works, let’s imagine that your company has just done A/B testing, where they test different combinations of advertisement strategies. ...
Neural networks have recently achieved human-level performance on various challenging natural language processing (NLP) tasks, but it is notoriously difficult to understand why a neural network produced a particular prediction. In this paper, we leverage the text-to-text framework proposed by Raffel ...
In spite of recent advances in automatic speech recognition, the performance of state-of-the-art speech recognisers fluctuates depending on the speaker. Sp... E Trentin,D Giuliani - 《Neural Computing & Applications》 被引量: 9发表: 2001年 Keyword Acquisition for Language Composition Based on ...
Towards computational systems capable of dealing with complex and general linguistic phenomena, it is essential to understand figurative language, which verbal humor is an instance of. This paper reports state-of-the-art results for Humor Recognition in Portuguese, specifically, an F1-score of 99.64...
A game theoretic approach to explain the output of any machine learning model. - dylanmckendry/shap