marktechpost

A Coding Implementation to Train Safety-Critical Reinforcement Learning Agents Offline Using Conservative Q-Learning with d3rlpy and Fixed Historical Data

In this tutorial, we build a safety-critical reinforcement learning pipeline that learns entirely from fixed, offline data rather than live exploration. We design a custom environment, generate a ...
IEEE

Joint Sparse Dictionary Learning Method for Multi-mode Parameters of Distribution Transformer PD Signals

Abstract: Partial discharge (PD) can characterize and affect the insulation performance of distribution transformers. However, PD signals have the problem of a single-mode sparse dictionary with a ...
GitHub

Sparse Autoencoders Learn Monosemantic Features in Vision-Language Models

Sparse Autoencoders (SAEs) have recently gained attention as a means to improve the interpretability and steerability of Large Language Models (LLMs), both of which are essential for AI safety. In ...
Hosted on MSN

DenseNet Architecture Explained | Beginner’s Deep Learning Tutorial

Learn about DenseNet, one of the most powerful deep learning architectures, in this beginner-friendly tutorial. Understand its structure, advantages, and how it’s used in real-world AI applications.
Education Week

Six Seven! The 2025 Dictionary.com Word of the Year Causes School Chaos

For teachers, the numbers six and seven have suddenly taken on a new—and dreaded—significance this school year. From French class to gym class, students are frequently saying (or shouting) “six-seven” ...
IEEE

Sparse optoacoustic sensing with convolutional dictionary learning

Abstract: Sparse optoacoustic sensing (SOS) enhances tomographic imaging by enabling high frame rates and reducing system complexity through partial data acquisition. However, its performance depends ...
GitHub

SeerAttention: Learning Intrinsic Sparse Attention in Your LLMs

Official implementation of SeerAttention and SeerAttention-R - a novel trainable sparse attention mechanism that learns intrinsic sparsity patterns directly from LLMs through self-distillation at post ...
C&EN

Dictionary Learning-Based Knowledge Fusion ESN Hybrid Modeling: A Chemical Key Variable Modeling Approach Integrating Empirical Knowledge

Department of Automation, Shanghai Jiao Tong University, Shanghai 200240, China Key Laboratory of System Control and Information Processing, Ministry of Education of China, Shanghai Jiao Tong ...
Queerty

This week’s Queer Urban Dictionary: Understanding “gender cues” & the history of “ponk”

Bad Queers Podcast is a weekly podcast hosted by Shana Sumers and Kris Chesson ffor anyone who feels like they came out of the closet and then got placed in a box. With hot takes on identity, culture, ...
marktechpost

Archetypal SAE: Adaptive and Stable Dictionary Learning for Concept Extraction in Large Vision Models

Artificial Neural Networks (ANNs) have revolutionized computer vision with great performance, but their “black-box” nature creates significant challenges in domains requiring transparency, ...