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Workshop
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Building Damage Mapping with Self-Positive Unlabeled Learning
Junshi Xia
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Poster
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Thu 8:30
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D2C: Diffusion-Decoding Models for Few-Shot Conditional Generation
Abhishek Sinha · Jiaming Song · Chenlin Meng · Stefano Ermon
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Poster
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Thu 16:30
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Understanding Instance-based Interpretability of Variational Auto-Encoders
Zhifeng Kong · Kamalika Chaudhuri
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Workshop
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Self-Imitation Learning from Demonstrations
Georgiy Pshikhachev · Dmitry Ivanov · Vladimir Egorov · Aleksei Shpilman
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Affinity Workshop
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SPP-EEGNET: An Input-Agnostic Self-supervised EEG Representation Model for Inter-Dataset Transfer Learning
Xiaomin Li · Vangelis Metsis
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Affinity Workshop
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Fri 5:30
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NLPGhana: A Case Study on Building A Self-Sustaining Machine Learning Research Ecosystem in Africa
Paul Azunre
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Poster
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Thu 16:30
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Contrastively Disentangled Sequential Variational Autoencoder
Junwen Bai · Weiran Wang · Carla Gomes
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Affinity Workshop
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Self-Supervised Visual Representation Learning for Time-series Clustering
Gaurangi Anand · Richi Nayak
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Workshop
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Self-Supervised Learning from Unlabeled Fundus Photographs Improves Segmentation of the Retina
Jan Kukačka
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Workshop
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Self-supervised Learning is More Robust to Dataset Imbalance
Hong Liu · Jeff Z. HaoChen · Adrien Gaidon · Tengyu Ma
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Tutorial
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Mon 17:00
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Self-Supervised Learning: Self-Prediction and Contrastive Learning
Lilian Weng · Jong Wook Kim
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Workshop
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Mon 15:45
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Spotlight talk: Learning Background Invariance Improves Generalization and Robustness in Self Supervised Learning on ImageNet and Beyond
Chaitanya Ryali
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