PINNACLE: PINN Adaptive ColLocation and Experimental Points Selection
As we all know, deep learning has been applied with great success to domains with…
BadEdit: Backdooring Large Language Models By Model Editing
Large Language Models (LLMs) exemplified by ChatGPT continue to gain widespread usage in addressing a…
Towards Robust and Expressive Whole-body Human Pose and Shape Estimation
Introduction Given a single RGB image, 3D human pose and shape estimation aims to reconstruct…
Clean-image Backdoor: Attacking Multi-label Models with Poisoned Labels Only
Multi-label learning Multi-label learning is commonly exploited to recognize a set of categories in an…
Utilizing Symbolic Regression to discover a larger class of splits for Decision Trees
This work is based on the paper: K.S. Fong and M. Motani, “Symbolic Regression Enhanced…
Learning to Generate Unbounded 3D Scenes from Image Collections
Introduction Scene generation has raised considerable attention in recent years, addressing the growing need…
Quasi-Newton Methods in the Big Data Era
Introduction and Background In this article, I will give a brief introduction to quasi-Newton methods…
Making AI Lighter, Not Heavier with ONLY 1 network and many masks
Background In order to understand lighter AI, imagine that you’re packing for a vacation. You…
SAM-Adapter: Finetune Your Own Segment Anything Model in an Effective and Efficient Manner
AI research has witnessed a paradigm shift with models trained on vast amounts of data…
HI-Concept: Explaining Language Model Predictions with High-Impact Concepts
Over the past few years, large language models (LLMs) have achieved tremendous progress, leading them…
