Search Results for author: Steven Lu

Found 7 papers, 2 papers with code

Evaluating Terrain-Dependent Performance for Martian Frost Detection in Visible Satellite Observations

no code implementations2 Mar 2024 Gary Doran, Serina Diniega, Steven Lu, Mark Wronkiewicz, Kiri L. Wagstaff

Seasonal frosting and defrosting on the surface of Mars is hypothesized to drive both climate processes and the formation and evolution of geomorphological features such as gullies.

Interactive Mars Image Content-Based Search with Interpretable Machine Learning

no code implementations19 Jan 2024 Bhavan Vasu, Steven Lu, Emily Dunkel, Kiri L. Wagstaff, Kevin Grimes, Michael McAuley

The NASA Planetary Data System (PDS) hosts millions of images of planets, moons, and other bodies collected throughout many missions.

Interpretable Machine Learning

MixCE: Training Autoregressive Language Models by Mixing Forward and Reverse Cross-Entropies

1 code implementation26 May 2023 Shiyue Zhang, Shijie Wu, Ozan Irsoy, Steven Lu, Mohit Bansal, Mark Dredze, David Rosenberg

Autoregressive language models are trained by minimizing the cross-entropy of the model distribution Q relative to the data distribution P -- that is, minimizing the forward cross-entropy, which is equivalent to maximum likelihood estimation (MLE).

BloombergGPT: A Large Language Model for Finance

no code implementations30 Mar 2023 Shijie Wu, Ozan Irsoy, Steven Lu, Vadim Dabravolski, Mark Dredze, Sebastian Gehrmann, Prabhanjan Kambadur, David Rosenberg, Gideon Mann

The use of NLP in the realm of financial technology is broad and complex, with applications ranging from sentiment analysis and named entity recognition to question answering.

Causal Judgment Date Understanding +21

Cosmic Microwave Background Recovery: A Graph-Based Bayesian Convolutional Network Approach

no code implementations24 Feb 2023 Jadie Adams, Steven Lu, Krzysztof M. Gorski, Graca Rocha, Kiri L. Wagstaff

The cosmic microwave background (CMB) is a significant source of knowledge about the origin and evolution of our universe.

Video Object Segmentation using Teacher-Student Adaptation in a Human Robot Interaction (HRI) Setting

1 code implementation17 Oct 2018 Mennatullah Siam, Chen Jiang, Steven Lu, Laura Petrich, Mahmoud Gamal, Mohamed Elhoseiny, Martin Jagersand

A human teacher can show potential objects of interest to the robot, which is able to self adapt to the teaching signal without providing manual segmentation labels.

Incremental Learning Robot Manipulation +4

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