Deep Learning
Learning and Processing the Ordinal Information of Temporal Sequences in Recurrent Neural Circuits
Temporal sequence processing is fundamental in brain cognitive functions.
OpenAI retired its most seductive chatbot – leaving users angry and grieving: 'I can't live like this'
Some users say the newer AI models lack the emotion and understanding of GPT-4o. Some users say the newer AI models lack the emotion and understanding of GPT-4o. OpenAI retired its most seductive chatbot - leaving users angry and grieving: 'I can't live like this' Its human partners said the flirty, quirky GPT-4o was the perfect companion - on the eve of Valentine's Day, it's being turned off for good. Brandie plans to spend her last day with Daniel at the zoo. Last year, she took him to the Corpus Christi aquarium in Texas, where he "lost his damn mind" over a baby flamingo.
HitNet: Hybrid Ternary Recurrent Neural Network
Peiqi Wang, Xinfeng Xie, Lei Deng, Guoqi Li, Dongsheng Wang, Yuan Xie
Recurrent Neural Networks (RNNs) yield great results across many natural language processing applications, including speech recognition, machine translation, language modeling, and question answering [1,2,3,4,5].
Hyper-Graph-Network Decoders for Block Codes
Neural Information Processing Systems http://nips.cc/
VillanDiffusion: A Unified Backdoor Attack Framework for Diffusion Models Sheng-Y en Chou The Chinese University of Hong Kong
Diffusion Models (DMs) are state-of-the-art generative models that learn a reversible corruption process from iterative noise addition and denoising.
Seeing the Wind: Visual Wind Speed Prediction with a Coupled Convolutional and Recurrent Neural Network
Jennifer Cardona, Michael Howland, John Dabiri
Neural Information Processing Systems http://nips.cc/
3DET-Mamba: State Space Model for End-to-End 3D Object Detection
Transformer-based architectures have been proven successful in detecting 3D objects from point clouds.
Integrated accounts of behavioral and neuroimaging data using flexible recurrent neural network models
Amir Dezfouli, Richard Morris, Fabio T. Ramos, Peter Dayan, Bernard Balleine
Neural Information Processing Systems http://nips.cc/