Papers
450 papers found
Missingness Bias in Model Debugging
Saachi Jain, Hadi Salman, Eric Wong et al.
Imbedding Deep Neural Networks
Andrew Corbett, Dmitry Kangin
Denoising Diffusion Samplers
Francisco Vargas, Will Sussman Grathwohl, Arnaud Doucet
Delving into Semantic Scale Imbalance
Yanbiao Ma, Licheng Jiao, Fang Liu et al.
Demystifying CLIP Data
Hu Xu, Saining Xie, Xiaoqing Tan et al.
Deep Temporal Graph Clustering
Meng Liu, Yue Liu, KE LIANG et al.
Demystifying Embedding Spaces using Large Language Models
Guy Tennenholtz, Yinlam Chow, ChihWei Hsu et al.
Data Filtering Networks
Alex Fang, Albin Madappally Jose, Amit Jain et al.
Diffusion Model for Dense Matching
Jisu Nam, Gyuseong Lee, Sunwoo Kim et al.
Denoising Diffusion Bridge Models
Linqi Zhou, Aaron Lou, Samar Khanna et al.
Simplifying Transformer Blocks
Bobby He, Thomas Hofmann
JPEG Inspired Deep Learning
Ahmed H. Salamah, Kaixiang Zheng, Yiwen Liu et al.
Simplifying Deep Temporal Difference Learning
Matteo Gallici, Mattie Fellows, Benjamin Ellis et al.
FairDen: Fair Density-Based Clustering
Lena Krieger, Anna Beer, Pernille Matthews et al.
Instance-dependent Early Stopping
Suqin Yuan, Runqi Lin, Lei Feng et al.
Fast dropout training
Sida Wang, Christopher Manning
Deep learning with COTS HPC systems
Adam Coates, Brody Huval, Tao Wang et al.
Demystifying Information-Theoretic Clustering
Greg Ver Steeg, Aram Galstyan, Fei Sha et al.
Deep Boosting
Corinna Cortes, Mehryar Mohri, Umar Syed
Learning by Stretching Deep Networks
Gaurav Pandey, Ambedkar Dukkipati
Learning Deep Structured Models
Liang-Chieh Chen, Alexander Schwing, Alan Yuille et al.
Deep Spectral Clustering Learning
Marc T. Law, Raquel Urtasun, Richard S. Zemel
Enumerating Distinct Decision Trees
Salvatore Ruggieri
Dual Supervised Learning
Yingce Xia, Tao Qin, Wei Chen et al.
A Spline Theory of Deep Learning
Randall Balestriero, baraniuk