Researchers reduce bias in AI models while preserving or improving accuracy | MIT News
Machine learning models can fail when they try to make predictions for people who were underrepresented in the data sets ...
Tag: Improving
Kaleido Diffusion: Improving Conditional Diffusion Models with Autoregressive Latent Modeling
Diffusion models have become a powerful tool for generating high-quality images from textual descriptions. Despite their successes, these models often ...
Improving health, one machine learning system at a time | MIT News
Captivated by video games and puzzles since she was a child, Marzyeh Ghassemi was also fascinated by health from an ...
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 ...
Salesforce AI Research Introduces LaTRO: A Self-Rewarding Framework for Improving Reasoning Capabilities in Large Language Models
Large language models (LLMs), useful for answering questions and generating content, are now being trained to handle tasks that require ...
No train, all gain: Improving frozen representations with self-supervised gradients.
A central challenge in advancing deep learning-based classification and retrieval tasks is achieving robust representations without the need for extensive ...
Improving media literacy skills in the age of AI
Key points: Media literacy has become a critical skill set in today's digital landscape. As people increasingly consume content from ...
LLM-KT: A Flexible Framework for Improving Collaborative Filtering Models with Built-in LLM-Generated Features
Collaborative filtering (CF) is widely used in recommender systems to match user preferences to items, but often struggles with complex ...
Consumer Confidence Is Improving, Morgan Stanley Survey Finds By Investing.com
Investing.com -- U.S. consumer confidence hit a three-year high in October, according to Morgan Stanley's latest AlphaWise survey, which tracks ...
MDAgents: A Dynamic Multi-Agent Framework for Improving Medical Decision Making with Large Language Models
Base models show promise in medicine, especially for assisting in complex tasks such as medical decision making (MDM). MDM is ...
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