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Educational machine learning

Carnegie Mellon University at NeurIPS 2024

by Keegan Harris / December 2, 2024

Carnegie Mellon University is proud to present 194 papers at the 38th conference on Neural Information Processing Systems (NeurIPS 2024), held from December 10-15 at the Vancouver Convention Center. Here is a quick overview of the areas our researchers are working on: Here are some of our top collaborator institutions: Table of Contents Oral Papers Spotlight Papers Poster Papers Causality Computational Biology Computer Vision Computer Vision (Image Generation) Computer Vision (Video Generation) Computer Vision (Video Understanding) Data-centric AI Data-centric AI…

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machine learning Research

Identification of Hazardous Areas for Priority Landmine Clearance: AI for Humanitarian Mine Action

November 7, 2024

TL;DR: Landmines pose a persistent threat and hinder development in over 70 war-affected countries. Humanitarian demining aims to clear contaminated areas, but progress is slow: at the current pace, it will take 1,100 years to fully demine the planet. In…

136 1896

machine learning Research

Jailbreaking LLM-Controlled Robots

October 29, 2024

Summary. Recent research has shown that large language models (LLMs) such as ChatGPT are susceptible to jailbreaking attacks, wherein malicious users fool an LLM into generating toxic content (e.g., bomb-building instructions). However, these attacks are generally limited to producing text.…

108 3139

machine learning Research

VQAScore: Evaluating and Improving Vision-Language Generative Models

October 7, 2024

Introduction Text-to-image/video models like Midjourney, Imagen3, Stable Diffusion, and Sora can generate aesthetic, photo-realistic visuals from natural language prompts, for example, given “Several giant woolly mammoths approach, treading through a snowy meadow…”, Sora generates: But how do we know if…

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machine learning Research

No Free Lunch in LLM Watermarking: Trade-offs in Watermarking Design Choices

September 27, 2024

Advances in generative models have made it possible for AI-generated text, code, and images to mirror human-generated content in many applications. Watermarking, a technique that embeds information in the output of a model to verify its source, aims to mitigate the…

157 3529

machine learning Research

Rethinking LLM Memorization

September 13, 2024

Introduction A central question in the discussion of large language models (LLMs) concerns the extent to which they memorize their training data versus how they generalize to new tasks and settings. Most practitioners seem to (at least informally) believe that…

177 6248

Educational machine learning

Causal Inference under Incentives: An Annotated Reading List

August 22, 2024

Causal inference is the process of determining whether and how a cause leads to an effect, typically using statistical methods to distinguish correlation from causation. Learning causal relationships from data is an important task across a wide variety of domains…

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Educational machine learning

CMU-MATH Team’s Innovative Approach Secures 2nd Place at the AIMO Prize

July 29, 2024

Recently, our CMU-MATH team proudly clinched 2nd place in the Artificial Intelligence Mathematical Olympiad (AIMO) out of 1,161 participating teams, earning a prize of $65,536! This prestigious competition aims to revolutionize AI in mathematical problem-solving, with the ultimate goal of …

253 5117

machine learning Research

How to Regularize Your Regression

April 12, 2024

A series of regression instances in a pharmaceutical application. Can we learn how to set the regularization parameter $\lambda$ from similar domain-specific data? Overview. Perhaps the simplest relation between a real dependent variable $y$ and a vector of features $X$…

632 7037

machine learning Research

Beyond the Mud: Datasets, Benchmarks, and Methods for Computer Vision in Off-Road Racing

March 22, 2024

TL;DR: Off-the-shelf text spotting and re-identification models fail in basic off-road racing settings, even more so during muddy events. Making matters worse, there aren’t any public datasets to evaluate or improve models in this domain. To this end, we introduce…

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