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Affinity Workshop
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Mon 13:30
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Contrasting Algorithmic and Machine Learning Approaches for Solving Dynamic Particle Motion Problems
Munenyashaishe Hove
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Workshop
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MCGC: an MLP-based supervised Contrastive learning framework for Graph Classification
Xiao Yue · Bo Liu · Andrew Meng · Guangzhi Qu
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Poster
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Wed 15:00
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Factorized Contrastive Learning: Going Beyond Multi-view Redundancy
Paul Pu Liang · Zihao Deng · Martin Q. Ma · James Zou · Louis-Philippe Morency · Ruslan Salakhutdinov
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Poster
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Wed 15:00
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Contrastive Sampling Chains in Diffusion Models
Junyu Zhang · Daochang Liu · Shichao Zhang · Chang Xu
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Poster
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Tue 15:15
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Understanding Contrastive Learning via Distributionally Robust Optimization
Junkang Wu · Jiawei Chen · Jiancan Wu · Wentao Shi · Xiang Wang · Xiangnan He
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Poster
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Thu 15:00
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Enhancing Adversarial Contrastive Learning via Adversarial Invariant Regularization
Xilie Xu · Jingfeng ZHANG · Feng Liu · Masashi Sugiyama · Mohan Kankanhalli
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Poster
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Thu 15:00
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Implicit variance regularization in non-contrastive SSL
Manu Srinath Halvagal · Axel Laborieux · Friedemann Zenke
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Poster
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Tue 15:15
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Graph Contrastive Learning with Stable and Scalable Spectral Encoding
Deyu Bo · Yuan Fang · Yang Liu · Chuan Shi
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Workshop
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MoCo-Transfer: Investigating out-of-distribution contrastive learning for limited-data domains
Yuwen Chen · Helen Zhou · Zachary Lipton
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Workshop
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Sat 9:25
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Contrastive power-efficient physical learning in resistor networks
Menachem Stern · Sam Dillavou · Dinesh Jayaraman · Douglas Durian · Andrea Liu
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Poster
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Thu 15:00
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A Closer Look at the Robustness of Contrastive Language-Image Pre-Training (CLIP)
Weijie Tu · Weijian Deng · Tom Gedeon
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Poster
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Tue 15:15
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Identifiable Contrastive Learning with Automatic Feature Importance Discovery
Qi Zhang · Yifei Wang · Yisen Wang
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