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Poster
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Wed 14:00 |
A Data-Augmentation Is Worth A Thousand Samples: Analytical Moments And Sampling-Free Training Randall Balestriero · Ishan Misra · Yann LeCun |
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Workshop
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Memory in humans and deep language models: Linking hypotheses for model augmentation Omri Raccah · Phoebe Chen · Theodore Willke · David Poeppel · Vy Vo |
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Poster
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Thu 14:00 |
ELEVATER: A Benchmark and Toolkit for Evaluating Language-Augmented Visual Models Chunyuan Li · Haotian Liu · Liunian Li · Pengchuan Zhang · Jyoti Aneja · Jianwei Yang · Ping Jin · Houdong Hu · Zicheng Liu · Yong Jae Lee · Jianfeng Gao |
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Poster
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Data Augmentation MCMC for Bayesian Inference from Privatized Data Nianqiao Ju · Jordan Awan · Ruobin Gong · Vinayak Rao |
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Poster
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Wed 14:00 |
Analyzing Data-Centric Properties for Graph Contrastive Learning Puja Trivedi · Ekdeep S Lubana · Mark Heimann · Danai Koutra · Jayaraman Thiagarajan |
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Poster
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Wed 14:00 |
RényiCL: Contrastive Representation Learning with Skew Rényi Divergence Kyungmin Lee · Jinwoo Shin |
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Poster
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Thu 9:00 |
On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification Sanyam Kapoor · Wesley Maddox · Pavel Izmailov · Andrew Wilson |
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Poster
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Thu 9:00 |
Recurrent Memory Transformer Aydar Bulatov · Yury Kuratov · Mikhail Burtsev |
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Poster
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Thu 14:00 |
Adversarial Task Up-sampling for Meta-learning Yichen WU · Long-Kai Huang · Ying Wei |
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Poster
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Tue 14:00 |
Cache-Augmented Inbatch Importance Resampling for Training Recommender Retriever Jin Chen · Defu Lian · Yucheng Li · Baoyun Wang · Kai Zheng · Enhong Chen |
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Poster
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Tue 14:00 |
Set-based Meta-Interpolation for Few-Task Meta-Learning Seanie Lee · Bruno Andreis · Kenji Kawaguchi · Juho Lee · Sung Ju Hwang |
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Poster
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RSA: Reducing Semantic Shift from Aggressive Augmentations for Self-supervised Learning Yingbin Bai · Erkun Yang · Zhaoqing Wang · Yuxuan Du · Bo Han · Cheng Deng · Dadong Wang · Tongliang Liu |