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Tue 7:00 On the Generalization Effects of Linear Transformations in Data Augmentation
Sen Wu · Hongyang Zhang · Gregory Valiant · Christopher Re
Tue 7:00 LTF: A Label Transformation Framework for Correcting Label Shift
Jiaxian Guo · Mingming Gong · Tongliang Liu · Kun Zhang · Dacheng Tao
Tue 7:00 A Free-Energy Principle for Representation Learning
Yansong Gao · Pratik Chaudhari
Tue 7:00 Efficient Domain Generalization via Common-Specific Low-Rank Decomposition
Vihari Piratla · Praneeth Netrapalli · Sunita Sarawagi
Tue 7:00 Mutual Transfer Learning for Massive Data
Ching-Wei Cheng · Xingye Qiao · Guang Cheng
Tue 7:00 LEEP: A New Measure to Evaluate Transferability of Learned Representations
Cuong Nguyen · Tal Hassner · Matthias W Seeger · Cedric Archambeau
Tue 7:00 Laplacian Regularized Few-Shot Learning
Imtiaz Ziko · Jose Dolz · Eric Granger · Ismail Ben Ayed
Tue 7:00 Searching to Exploit Memorization Effect in Learning with Noisy Labels
QUANMING YAO · Hansi Yang · Bo Han · Gang Niu · James Kwok
Tue 7:00 On the Global Optimality of Model-Agnostic Meta-Learning
Lingxiao Wang · Qi Cai · Zhuoran Yang · Zhaoran Wang
Tue 8:00 Meta-learning for Mixed Linear Regression
Weihao Kong · Raghav Somani · Zhao Song · Sham Kakade · Sewoong Oh
Tue 8:00 Transfer Learning without Knowing: Reprogramming Black-box Machine Learning Models with Scarce Data and Limited Resources
Yun Yun Tsai · Pin-Yu Chen · Tsung-Yi Ho
Tue 8:00 AutoML-Zero: Evolving Machine Learning Algorithms From Scratch
Esteban Real · Chen Liang · David So · Quoc Le