暂无分享,去创建一个
Jianqiang Huang | Zhongming Jin | Deng Cai | Xiaofei He | Zhengxu Yu | Xian-Sheng Hua | Pengfei Wang | Junkai Xu | Liang Xie | Xiansheng Hua | Xiaofei He | Deng Cai | P. Wang | Jianqiang Huang | Zhongming Jin | Liang Xie | Zhengxu Yu | Junkai Xu
[1] Yu Gong,et al. A Minimax Game for Instance based Selective Transfer Learning , 2019, KDD.
[2] Arthur E. Hoerl,et al. Ridge Regression: Biased Estimation for Nonorthogonal Problems , 2000, Technometrics.
[3] Yueting Zhuang,et al. MacNet: Transferring Knowledge from Machine Comprehension to Sequence-to-Sequence Models , 2019, NeurIPS.
[4] Bianca Zadrozny,et al. Learning and evaluating classifiers under sample selection bias , 2004, ICML.
[5] Brian D. Ziebart,et al. Robust Classification Under Sample Selection Bias , 2014, NIPS.
[6] Yoshua Bengio,et al. Gradient-based learning applied to document recognition , 1998, Proc. IEEE.
[7] Kurt Hornik,et al. Multilayer feedforward networks are universal approximators , 1989, Neural Networks.
[8] Yingli Tian,et al. Self-Supervised Visual Feature Learning With Deep Neural Networks: A Survey , 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[9] Deng Cai,et al. Adversarial-Learned Loss for Domain Adaptation , 2020, AAAI.
[10] Liam Paninski,et al. Estimation of Entropy and Mutual Information , 2003, Neural Computation.
[11] Jonas Peters,et al. Causal inference by using invariant prediction: identification and confidence intervals , 2015, 1501.01332.
[12] C. R. Henderson,et al. Best linear unbiased estimation and prediction under a selection model. , 1975, Biometrics.
[13] E. Badley,et al. Exploring the role of contextual factors in disability models , 2006, Disability and rehabilitation.
[14] Bernhard Schölkopf,et al. Domain Generalization via Invariant Feature Representation , 2013, ICML.
[15] Alex Krizhevsky,et al. Learning Multiple Layers of Features from Tiny Images , 2009 .
[16] R. Tibshirani. Regression Shrinkage and Selection via the Lasso , 1996 .
[17] Alexei A. Efros,et al. Unbiased look at dataset bias , 2011, CVPR 2011.
[18] Kun Kuang,et al. Stable Prediction with Model Misspecification and Agnostic Distribution Shift , 2020, AAAI.
[19] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[20] Bo Li,et al. Causally Regularized Learning with Agnostic Data Selection Bias , 2017, ACM Multimedia.
[21] Kun Kuang,et al. Stable Learning via Sample Reweighting , 2019, AAAI.