Improving JEPAs with Spatial Conditioning: Robust and Efficient Representation Learning
This article was accepted into the Self-Supervised Learning Workshop: Theory and Practice (SSLTP) at NeurIPS 2024. The Image-based Joint Embedding ...
Tag: Efficient
BEAL: A Bayesian Deep Active Learning Method for Efficient Deep Classification of Multi-Labeled Texts
Multi-label text classification (MLTC) assigns multiple relevant labels to a text. While deep learning models have achieved cutting-edge results in ...
UC Riverside researchers propose Pkd tree (parallel kd tree): a parallel kd tree that is efficient in both theory and practice
The exponential growth of multidimensional data in various fields, such as machine learning, geospatial analysis, and clustering, has posed significant ...
This AI article presents TabM: an efficient ensemble-based deep learning model for robust processing of tabular data
By processing complex data formats, deep learning has transformed several fields, including finance, healthcare, and e-commerce. However, applying deep learning ...
Building Efficient Neural Networks with JAX
Flax is an advanced neural network library built on top of JAX, aimed at giving researchers and developers a flexible, ...
A Deep Dive into Small Language Models: Efficient Alternatives to Large Language Models for Real-Time Processing and Specialized Tasks
ai has made significant progress in developing large language models (LLMs) that excel at complex tasks such as text generation, ...
Optimizing Contextual Speech Recognition Using Vector Quantization for Efficient Retrieval
Neural contextual bias allows speech recognition models to leverage contextually relevant information, improving transcription accuracy. However, the bias mechanism is ...
Automate Amazon Bedrock Batch Inference – Building a Scalable and Efficient Pipeline
amazon Bedrock is a fully managed service that offers a selection of high-performance foundation models (FM) from leading ai companies ...
Efficient function calls in small-scale LLM: a turning point for AI reasoning tasks
Recent advances in large language models (LLM) have demonstrated exceptional natural language generation and understanding capabilities. Research has explored the ...
This AI article presents optimal covariance matching for efficient diffusion models
Probabilistic diffusion models have become essential for generating complex data structures such as images and videos. These models transform random ...
