Quanta Magazine

Distinct AI Models Seem To Converge On How They Encode Reality

Is the inside of a vision model at all like a language model? Researchers argue that as the models grow more powerful, they ...
IEEE

Learning Discriminative Representations From Cross-Scale Features for Camouflaged Object Detection

Abstract: The key that hinders the performance improvement of current camouflaged object detection (COD) models is the lack of discriminability of features at fine granularity. We solve this problem ...
GitHub

SimVQ: Addressing Representation Collapse in Vector Quantized Models with One Linear Layer

imagenet └── train/ ├── n01440764 ├── n01440764_10026.JPEG ├── n01440764_10027.JPEG ├── ... ├── n01443537 ...
Scientific Research Publishing

Mikolov, T., Chen, K., Corrado, G. and Dean, J. (2013) Efficient Estimation of Word Representations in Vector Space.

ABSTRACT: This paper examines the extent to which competencies taught in Congolese universities match the skills required by the labour market. Using official curricula from the Ministry of Higher and ...
IEEE

MuQ: Self-Supervised Music Representation Learning With Mel Residual Vector Quantization

Abstract: Recent years have witnessed the success of foundation models pre-trained with self-supervised learning (SSL) in various music informatics understanding tasks, including music tagging, ...