Papers
660 papers found
Fair Algorithms for Clustering
Suman Bera, Deeparnab Chakrabarty, Nicolas Flores et al.
A graph similarity for deep learning
Seongmin Ok
Coresets for Near-Convex Functions
Murad Tukan, Alaa Maalouf, Dan Feldman
Woodbury Transformations for Deep Generative Flows
You Lu, Bert Huang
What Makes for Good Views for Contrastive Learning?
Yonglong Tian, Chen Sun, Ben Poole et al.
Empirical Likelihood for Contextual Bandits
Nikos Karampatziakis, John Langford, Paul Mineiro
Inference for Batched Bandits
Kelly Zhang, Lucas Janson, Susan Murphy
Joints in Random Forests
Alvaro Correia, Robert Peharz, Cassio P de Campos
Principal Neighbourhood Aggregation for Graph Nets
Gabriele Corso, Luca Cavalleri, Dominique Beaini et al.
Instance Selection for GANs
Terrance DeVries, Michal Drozdzal, Graham W. Taylor
Learning Bounds for Risk-sensitive Learning
Jaeho Lee, Sejun Park, Jinwoo Shin
The Strong Screening Rule for SLOPE
Johan Larsson, Malgorzata Bogdan, Jonas Wallin
A kernel test for quasi-independence
Tamara Fernandez, Wenkai Xu, Marc Ditzhaus et al.
Why are Adaptive Methods Good for Attention Models?
Jingzhao Zhang, Sai Praneeth Karimireddy, Andreas Veit et al.
Calibrating CNNs for Lifelong Learning
Pravendra Singh, Vinay Kumar Verma, Pratik Mazumder et al.
Design Space for Graph Neural Networks
Jiaxuan You, Zhitao Ying, Jure Leskovec
Co-Tuning for Transfer Learning
Kaichao You, Zhi Kou, Mingsheng Long et al.
Hybrid Models for Learning to Branch
Prateek Gupta, Maxime Gasse, Elias Khalil et al.
Model Class Reliance for Random Forests
Gavin Smith, Roberto Mansilla, James Goulding
A Gradient Method for Multilevel Optimization
Ryo Sato, Mirai Tanaka, Akiko Takeda
Lossy Compression for Lossless Prediction
Yann Dubois, Benjamin Bloem-Reddy, Karen Ullrich et al.
Hash Layers For Large Sparse Models
Stephen Roller, Sainbayar Sukhbaatar, arthur szlam et al.
Adder Attention for Vision Transformer
Han Shu, Jiahao Wang, Hanting Chen et al.
NeRV: Neural Representations for Videos
Hao Chen, Bo He, Hanyu Wang et al.
Coresets for Time Series Clustering
Lingxiao Huang, K Sudhir, Nisheeth Vishnoi