GitHub

SPADE: Sparsity Guided Debugging for Deep Neural Networks

This repository contains the code for the paper "SPADE: Sparsity Guided Debugging for Deep Neural Networks". In this paper we improved interpretability methods by first pruning the model on the sample ...
IEEE

SECRET: Towards Scalable and Efficient Code Retrieval via Segmented Deep Hashing

Abstract: Code retrieval, which retrieves code snippets based on users' natural language descriptions, is widely used by devel-opers and plays a pivotal role in real-world software development. The ...

Guide Labs debuts a new kind of interpretable LLM

The company open sourced an 8-billion-parameter LLM, Steerling-8B, trained with a new architecture designed to make its ...
IEEE

Epileptic Seizure Detection in EEG Signals Using Machine Learning and Deep Learning Techniques

Abstract: This research presents a novel approach to detecting epileptic seizures leveraging the strengths of Machine Learning (ML) and Deep Learning (DL) algorithms in EEG signals. Epileptic seizures ...