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Poster
Mon 1:00 Overfitting for Fun and Profit: Instance-Adaptive Data Compression
Ties van Rozendaal · Iris Huijben · Taco Cohen
Poster
Mon 1:00 QPLEX: Duplex Dueling Multi-Agent Q-Learning
Jianhao Wang · Zhizhou Ren · Terry Liu · Yang Yu · Chongjie Zhang
Poster
Mon 1:00 On the Universality of the Double Descent Peak in Ridgeless Regression
David Holzmüller
Poster
Mon 1:00 Domain Generalization with MixStyle
Kaiyang Zhou · Yongxin Yang · Yu Qiao · Tao Xiang
Poster
Mon 1:00 MetaNorm: Learning to Normalize Few-Shot Batches Across Domains
Yingjun Du · Xiantong Zhen · Ling Shao · Cees G Snoek
Poster
Mon 1:00 Meta-GMVAE: Mixture of Gaussian VAE for Unsupervised Meta-Learning
Dong Bok Lee · Dongchan Min · Seanie Lee · Sung Ju Hwang
Poster
Mon 1:00 MODALS: Modality-agnostic Automated Data Augmentation in the Latent Space
Tsz Him Cheung · Dit-Yan Yeung
Poster
Mon 1:00 Semantic Re-tuning with Contrastive Tension
Fredrik Carlsson · Amaru C Gyllensten · Evangelia Gogoulou · Erik Y Hellqvist · Magnus Sahlgren
Poster
Mon 1:00 Spatially Structured Recurrent Modules
Nasim Rahaman · Anirudh Goyal · Muhammad Waleed Gondal · Manuel Wuthrich · Stefan Bauer · Yash Sharma · Yoshua Bengio · Bernhard Schoelkopf
Poster
Mon 1:00 Mutual Information State Intrinsic Control
Rui Zhao · Yang Gao · Pieter Abbeel · Volker Tresp · Wei Xu
Poster
Mon 1:00 Predicting Infectiousness for Proactive Contact Tracing
Yoshua Bengio · Prateek Gupta · Tegan Maharaj · Nasim Rahaman · Martin Weiss · Tristan Deleu · Eilif B Muller · Meng Qu · victor schmidt · Pierre-luc St-charles · hannah alsdurf · Olexa Bilaniuk · david buckeridge · Gaétan Marceau Caron · pierre carrier · Joumana Ghosn · satya gagne · Chris J Pal · Irina Rish · Bernhard Schoelkopf · abhinav sharma · J
Poster
Mon 1:00 MELR: Meta-Learning via Modeling Episode-Level Relationships for Few-Shot Learning
Nanyi Fei · Zhiwu Lu · Tao Xiang · Songfang Huang