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Workshop
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Self Supervised Learning Using Controlled Diffusion Image Augmentation
Judah Goldfeder · Patrick Puma · Gabriel Guo · Gabriel Trigo · Hod Lipson
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Workshop
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The Birth of Self Supervised Learning: A Supervised Theory
Randall Balestriero · Yann LeCun
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Workshop
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A Graph Matching Approach to Balanced Data Sub-Sampling for Self-Supervised Learning
Hugues Van Assel · Randall Balestriero
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Poster
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Wed 16:30
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QueST: Self-Supervised Skill Abstractions for Learning Continuous Control
Atharva Mete · Haotian Xue · Albert Wilcox · Yongxin Chen · Animesh Garg
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Workshop
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Equivariant Representation Learning for Augmentation-based Self-Supervised Learning via Image Reconstruction
Qin Wang · Kai Krajsek · Hanno Scharr
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Workshop
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Memorization Detection Benchmark for Generative Image models
Marc Molina · Felice Burn
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Affinity Event
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Self-supervised Visualisation of Microscopy Datasets
Ifeoma Veronica Nwabufo · Jan Niklas Böhm · Philipp Berens · Dmitry Kobak
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Workshop
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Robust Self-Supervised Learning for Adversarial Attack Detection
Yi Li · Plamen P Angelov · Neeraj Suri
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Workshop
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In-Context Symmetries: Self-Supervised Learning through Contextual World Models
Sharut Gupta · Chenyu Wang · Yifei Wang · Tommi Jaakkola · Stefanie Jegelka
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Poster
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Fri 11:00
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Understanding the Gains from Repeated Self-Distillation
Divyansh Pareek · Simon Du · Sewoong Oh
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Workshop
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Sat 11:00
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Hilde Kuehne (Univ. of Tuebingen & MIT-IBM Watson AI Lab): Advances in Self-supervised Multimodal Learning
Hilde Kuehne
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Workshop
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Self-Efficacy Update in Reinforcement Learning: Impact on Goal Selection for Q-learning Agents
Jing Li · Angela Radulescu
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