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11 Results
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Workshop
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Non-Uniform Sampling and Adaptive Optimizers in Deep Learning Thibault Lahire |
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Workshop
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Sat 14:45 |
Model-adapted Fourier sampling for generative compressed sensing Aaron Berk · Simone Brugiapaglia · Yaniv Plan · Matthew Scott · Xia Sheng · Ozgur Yilmaz |
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Poster
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Wed 8:45 |
ZoomTrack: Target-aware Non-uniform Resizing for Efficient Visual Tracking Yutong Kou · Jin Gao · Bing Li · Gang Wang · Weiming Hu · Yizheng Wang · Liang Li |
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Workshop
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On Improving the Sample Efficiency of Non-Contrastive SSL Kumar Krishna Agrawal · Arna Ghosh · Adam Oberman · Blake Richards |
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Poster
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Tue 8:45 |
Fast Conditional Mixing of MCMC Algorithms for Non-log-concave Distributions Xiang Cheng · Bohan Wang · Jingzhao Zhang · Yusong Zhu |
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Poster
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Wed 8:45 |
Debiasing Pretrained Generative Models by Uniformly Sampling Semantic Attributes Walter Gerych · Walter Gerych · Kevin Hickey · Luke Buquicchio · Kavin Chandrasekaran · Abdulaziz Alajaji · Elke A. Rundensteiner · Emmanuel Agu |
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Workshop
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Particle Guidance: non-I.I.D. Diverse Sampling with Diffusion Models Gabriele Corso · Yilun Xu · Valentin De Bortoli · Regina Barzilay · Tommi Jaakkola |
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Workshop
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Sat 8:45 |
Particle Guidance: non-I.I.D. Diverse Sampling with Diffusion Models Gabriele Corso · Yilun Xu · Valentin De Bortoli · Regina Barzilay · Tommi Jaakkola |
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Poster
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Wed 15:00 |
Maximum Average Randomly Sampled: A Scale Free and Non-parametric Algorithm for Stochastic Bandits Masoud Moravej Khorasani · Erik Weyer |
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Poster
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Wed 15:00 |
A Dynamical System View of Langevin-Based Non-Convex Sampling Mohammad Reza Karimi Jaghargh · Ya-Ping Hsieh · Andreas Krause |
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Poster
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Wed 15:00 |
Beyond Uniform Sampling: Offline Reinforcement Learning with Imbalanced Datasets Zhang-Wei Hong · Aviral Kumar · Sathwik Karnik · Abhishek Bhandwaldar · Akash Srivastava · Joni Pajarinen · Romain Laroche · Abhishek Gupta · Pulkit Agrawal |