Summary of Ms-imap — a Multi-scale Graph Embedding Approach For Interpretable Manifold Learning, by Shay Deutsch et al.
MS-IMAP – A Multi-Scale Graph Embedding Approach for Interpretable Manifold Learningby Shay Deutsch, Lionel Yelibi,…
Summary of Ladi V2: Multi-label Dataset and Classifiers For Low-altitude Disaster Imagery, by Samuel Scheele et al.
LADI v2: Multi-label Dataset and Classifiers for Low-Altitude Disaster Imageryby Samuel Scheele, Katherine Picchione, Jeffrey…
Summary of Disentangling Logic: the Role Of Context in Large Language Model Reasoning Capabilities, by Wenyue Hua et al.
Disentangling Logic: The Role of Context in Large Language Model Reasoning Capabilitiesby Wenyue Hua, Kaijie…
Summary of Building Socially-equitable Public Models, by Yejia Liu et al.
Building Socially-Equitable Public Modelsby Yejia Liu, Jianyi Yang, Pengfei Li, Tongxin Li, Shaolei RenFirst submitted…
Summary of Exploring Robustness in Doctor-patient Conversation Summarization: An Analysis Of Out-of-domain Soap Notes, by Yu-wen Chen et al.
Exploring Robustness in Doctor-Patient Conversation Summarization: An Analysis of Out-of-Domain SOAP Notesby Yu-Wen Chen, Julia…
Summary of Randomized Geometric Algebra Methods For Convex Neural Networks, by Yifei Wang et al.
Randomized Geometric Algebra Methods for Convex Neural Networksby Yifei Wang, Sungyoon Kim, Paul Chu, Indu…
Summary of Oracle: Leveraging Mutual Information For Consistent Character Generation with Loras in Diffusion Models, by Kiymet Akdemir and Pinar Yanardag
ORACLE: Leveraging Mutual Information for Consistent Character Generation with LoRAs in Diffusion Modelsby Kiymet Akdemir,…
Summary of Stochastic Diffusion: a Diffusion Probabilistic Model For Stochastic Time Series Forecasting, by Yuansan Liu et al.
Stochastic Diffusion: A Diffusion Probabilistic Model for Stochastic Time Series Forecastingby Yuansan Liu, Sudanthi Wijewickrema,…
Summary of Efficient Minimum Bayes Risk Decoding Using Low-rank Matrix Completion Algorithms, by Firas Trabelsi and David Vilar and Mara Finkelstein and Markus Freitag
Efficient Minimum Bayes Risk Decoding using Low-Rank Matrix Completion Algorithmsby Firas Trabelsi, David Vilar, Mara…
Summary of You Only Accept Samples Once: Fast, Self-correcting Stochastic Variational Inference, by Dominic B. Dayta
You Only Accept Samples Once: Fast, Self-Correcting Stochastic Variational Inferenceby Dominic B. DaytaFirst submitted to…