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Found 10 papers, 2 papers with code
EarthView: A Large Scale Remote Sensing Dataset for Self-Supervision
This paper presents EarthView, a comprehensive dataset specifically designed for self-supervision on remote sensing data, intended to enhance deep learning applications on Earth monitoring tasks.
A non-ergodic framework for understanding emergent capabilities in Large Language Models
Large language models have emergent capabilities that come unexpectedly at scale, but we need a theoretical framework to explain why and how they emerge.
Optimizing AI Reasoning: A Hamiltonian Dynamics Approach to Multi-Hop Question Answering
This paper introduces an innovative approach to analyzing and improving multi-hop reasoning in AI systems by drawing inspiration from Hamiltonian mechanics.
Symmetries, Scaling Laws and Phase Transitions in Consumer Advertising Response
Understanding how consumers respond to business advertising efforts is essential for optimizing marketing investment.
Bayesian Methods for Media Mix Modelling with shape and funnel effects
In recent years, significant progress in generative AI has highlighted the important role of physics-inspired models that utilize advanced mathematical concepts based on fundamental physics principles to enhance artificial intelligence capabilities.
Object Detection performance variation on compressed satellite image datasets with iquaflow
A lot of work has been done to reach the best possible performance of predictive models on images.
Evaluating Synthetically Generated Data from Small Sample Sizes: An Experimental Study
This work proposes a method to evaluate the similarity between low-sample tabular data and synthetically generated data with a larger number of samples than the original.
Recipe1M+: A Dataset for Learning Cross-Modal Embeddings for Cooking Recipes and Food Images
In this paper, we introduce Recipe1M+, a new large-scale, structured corpus of over one million cooking recipes and 13 million food images.
Ranked #2 on
Cross-Modal Retrieval
on Recipe1M+
Learning Cross-Modal Embeddings for Cooking Recipes and Food Images
In this paper, we introduce Recipe1M, a new large-scale, structured corpus of over 1m cooking recipes and 800k food images.
Face-to-BMI: Using Computer Vision to Infer Body Mass Index on Social Media
A person's weight status can have profound implications on their life, ranging from mental health, to longevity, to financial income.
