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Poster
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Multi-Instance Causal Representation Learning for Instance Label Prediction and Out-of-Distribution Generalization
Weijia Zhang · Xuanhui Zhang · hanwen deng · Min-Ling Zhang
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Poster
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Tue 9:00
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A Unified Framework for Alternating Offline Model Training and Policy Learning
Shentao Yang · Shujian Zhang · Yihao Feng · Mingyuan Zhou
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Workshop
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Symbolic-Model-Based Reinforcement Learning
Pierre-alexandre Kamienny · Sylvain Lamprier
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Poster
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Thu 9:00
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Instance-Based Uncertainty Estimation for Gradient-Boosted Regression Trees
Jonathan Brophy · Daniel Lowd
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Poster
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Tue 9:00
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Instance-Dependent Near-Optimal Policy Identification in Linear MDPs via Online Experiment Design
Andrew Wagenmaker · Kevin Jamieson
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Workshop
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Membrane and microtubule rapid instance segmentation with dimensionless instance segmentation by learning graph representations of point clouds
Robert Kiewisz · Tristan Bepler
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Poster
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Thu 9:00
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Single-pass Streaming Lower Bounds for Multi-armed Bandits Exploration with Instance-sensitive Sample Complexity
Sepehr Assadi · Chen Wang
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Poster
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Tue 14:00
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Learning Recourse on Instance Environment to Enhance Prediction Accuracy
Lokesh N · Guntakanti Sai Koushik · Abir De · Sunita Sarawagi
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Poster
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Learning Superpoint Graph Cut for 3D Instance Segmentation
Le Hui · Linghua Tang · Yaqi Shen · Jin Xie · Jian Yang
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Workshop
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Fri 9:30
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Semi-Supervised Learning and Data Augmentation for Wearable-based Health Monitoring System in the Wild
Han Yu · Akane Sano
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Workshop
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Learning from physics-based features improves protein property prediction
Amy Wang · Ava Soleimany · Alex X Lu · Kevin Yang
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Affinity Workshop
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An instance segmentation approach for automatic insulator defect detection
· ELDAD Antwi-Bekoe
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