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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 7:00 On the Generalization Effects of Linear Transformations in Data Augmentation
Sen Wu · Hongyang Zhang · Gregory Valiant · Christopher Re
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 LTF: A Label Transformation Framework for Correcting Label Shift
Jiaxian Guo · Mingming Gong · Tongliang Liu · Kun Zhang · Dacheng Tao
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
Tue 9:00 Stabilizing Differentiable Architecture Search via Perturbation-based Regularization
Xiangning Chen · Cho-Jui Hsieh
Tue 10:00 Learning To Stop While Learning To Predict
Xinshi Chen · Hanjun Dai · Yu Li · Xin Gao · Le Song
Tue 10:00 Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data
Felipe Petroski Such · Aditya Rawal · Joel Lehman · Kenneth Stanley · Jeffrey Clune