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"Time": models, code, and papers
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Cache Me if You Can: Accelerating Diffusion Models through Block Caching

Dec 06, 2023
Felix Wimbauer, Bichen Wu, Edgar Schoenfeld, Xiaoliang Dai, Ji Hou, Zijian He, Artsiom Sanakoyeu, Peizhao Zhang, Sam Tsai, Jonas Kohler, Christian Rupprecht, Daniel Cremers, Peter Vajda, Jialiang Wang

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Blueprinting the Future: Automatic Item Categorization using Hierarchical Zero-Shot and Few-Shot Classifiers

Dec 06, 2023
Ting Wang, Keith Stelter, Jenn Floyd, Thomas O'Neill, Nathaniel Hendrix, Andrew Bazemore, Kevin Rode, Warren Newton

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Low-power, Continuous Remote Behavioral Localization with Event Cameras

Dec 06, 2023
Friedhelm Hamann, Suman Ghosh, Ignacio Juarez Martinez, Tom Hart, Alex Kacelnik, Guillermo Gallego

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Utilizing Model Residuals to Identify Rental Properties of Interest: The Price Anomaly Score (PAS) and Its Application to Real-time Data in Manhattan

Nov 29, 2023
Youssef Sultan, Jackson C. Rafter, Huyen T. Nguyen

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Rethinking Adversarial Training with Neural Tangent Kernel

Dec 04, 2023
Guanlin Li, Han Qiu, Shangwei Guo, Jiwei Li, Tianwei Zhang

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A Baseline Analysis of Reward Models' Ability To Accurately Analyze Foundation Models Under Distribution Shift

Dec 04, 2023
Ben Pikus, Will LeVine, Tony Chen, Sean Hendryx

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Authoring Worked Examples for Java Programming with Human-AI Collaboration

Dec 04, 2023
Mohammad Hassany, Peter Brusilovsky, Jiaze Ke, Kamil Akhuseyinoglu, Arun Balajiee Lekshmi Narayanan

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Bidirectional Reactive Programming for Machine Learning

Nov 28, 2023
Dumitru Potop Butucaru, Albert Cohen, Gordon Plotkin, Hugo Pompougnac

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A Probabilistic Neural Twin for Treatment Planning in Peripheral Pulmonary Artery Stenosis

Dec 01, 2023
John D. Lee, Jakob Richter, Martin R. Pfaller, Jason M. Szafron, Karthik Menon, Andrea Zanoni, Michael R. Ma, Jeffrey A. Feinstein, Jacqueline Kreutzer, Alison L. Marsden, Daniele E. Schiavazzi

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Backbone-based Dynamic Graph Spatio-Temporal Network for Epidemic Forecasting

Dec 01, 2023
Junkai Mao, Yuexing Han, Gouhei Tanaka, Bing Wang

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