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Poster
Wed 14:00 A Data-Augmentation Is Worth A Thousand Samples: Analytical Moments And Sampling-Free Training
Randall Balestriero · Ishan Misra · Yann LeCun
Workshop
Memory in humans and deep language models: Linking hypotheses for model augmentation
Omri Raccah · Phoebe Chen · Theodore Willke · David Poeppel · Vy Vo
Poster
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
Poster
Data Augmentation MCMC for Bayesian Inference from Privatized Data
Nianqiao Ju · Jordan Awan · Ruobin Gong · Vinayak Rao
Poster
Wed 14:00 Analyzing Data-Centric Properties for Graph Contrastive Learning
Puja Trivedi · Ekdeep S Lubana · Mark Heimann · Danai Koutra · Jayaraman Thiagarajan
Poster
Wed 14:00 RényiCL: Contrastive Representation Learning with Skew Rényi Divergence
Kyungmin Lee · Jinwoo Shin
Poster
Thu 9:00 On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification
Sanyam Kapoor · Wesley Maddox · Pavel Izmailov · Andrew Wilson
Poster
Thu 9:00 Recurrent Memory Transformer
Aydar Bulatov · Yury Kuratov · Mikhail Burtsev
Poster
Thu 14:00 Adversarial Task Up-sampling for Meta-learning
Yichen WU · Long-Kai Huang · Ying Wei
Poster
Tue 14:00 Cache-Augmented Inbatch Importance Resampling for Training Recommender Retriever
Jin Chen · Defu Lian · Yucheng Li · Baoyun Wang · Kai Zheng · Enhong Chen
Poster
Tue 14:00 Set-based Meta-Interpolation for Few-Task Meta-Learning
Seanie Lee · Bruno Andreis · Kenji Kawaguchi · Juho Lee · Sung Ju Hwang
Poster
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