How to Regularize Your Regression – Machine Learning Blog | ML@CMU
A sequence of regression situations in a pharmaceutical utility. Can we learn to set the regularization ...
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Saturday, June 22, 2024
Tag: MLCMU
Beyond the Mud: Datasets, Benchmarks, and Methods for Computer Vision in Off-Road Racing – Machine Learning Blog | ML@CMU
TL;DR: Off-the-shelf textual content recognizing and re-identification fashions fail in fundamental off-road racing settings, much more ...
Read moreNLPositionality: Characterizing Design Biases of Datasets and Models – Machine Learning Blog | ML@CMU
TLDR; Design biases in NLP methods, similar to efficiency variations for various populations, usually stem from ...
Read moreOn Noisy Evaluation in Federated Hyperparameter Tuning – Machine Learning Blog | ML@CMU
Evaluating fashions in federated networks is difficult because of components reminiscent of shopper subsampling, knowledge heterogeneity, ...
Read moreCreative Robot Tool Use with Large Language Models – Machine Learning Blog | ML@CMU
TLDR: We introduce RoboTool, enabling robots to make use of instruments creatively with massive language fashions, ...
Read morePeer Reviews of Peer Reviews: A Randomized Controlled Trial and Other Experiments – Machine Learning Blog | ML@CMU
Alexander Goldberg, Ivan Stelmakh, Kyunghyun Cho, Alice Oh, Alekh Agarwal, Danielle Belgrave, and Nihar Shah Is ...
Read moreSupporting Human-AI Collaboration in Auditing LLMs with LLMs – Machine Learning Blog | ML@CMU
Illustration depicting the method of a human and a big language mannequin working collectively to search ...
Read moreTest-time Adaptation with Slot-Centric Models – Machine Learning Blog | ML@CMU
TLDR: Present SOTA strategies for scene understanding, although spectacular, usually fail to decompose out-of-distribution scenes. In ...
Read moreNavigating to Objects in the Real World – Machine Learning Blog | ML@CMU
Empirical examine: We evaluated three approaches for robots to navigate to things in six visually various ...
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