Update Readme

Author: antoinedemathelin

README.md

@@ -101,32 +101,33 @@ ADAPT package is divided in three sub-modules containing the following domain ad
 
 <img src="https://raw.githubusercontent.com/adapt-python/adapt/a490a5c4cefb80d6222bc831a8cc25b2f65221ce/docs/_static/images/feature_based.png">
 
-- [FE](https://adapt-python.github.io/adapt/generated/adapt.feature_based.FE.html) (*Frustratingly Easy Domain Adaptation*)
-- [mSDA](https://adapt-python.github.io/adapt/generated/adapt.feature_based.mSDA.html) (*marginalized Stacked Denoising Autoencoder*)
-- [DANN](https://adapt-python.github.io/adapt/generated/adapt.feature_based.DANN.html) (*Discriminative Adversarial Neural Network*)
-- [ADDA](https://adapt-python.github.io/adapt/generated/adapt.feature_based.ADDA.html) (*Adversarial Discriminative Domain Adaptation*)
-- [CORAL](https://adapt-python.github.io/adapt/generated/adapt.feature_based.CORAL.html) (*CORrelation ALignment*)
-- [DeepCORAL](https://adapt-python.github.io/adapt/generated/adapt.feature_based.DeepCORAL.html) (*Deep CORrelation ALignment*)
-- [MCD](https://adapt-python.github.io/adapt/generated/adapt.feature_based.MCD.html) (*Maximum Classifier Discrepancy*)
-- [MDD](https://adapt-python.github.io/adapt/generated/adapt.feature_based.MDD.html) (*Margin Disparity Discrepancy*)
+- [FE](https://adapt-python.github.io/adapt/generated/adapt.feature_based.FE.html) (*Frustratingly Easy Domain Adaptation*) [[paper]](https://arxiv.org/pdf/0907.1815.pdf)
+- [mSDA](https://adapt-python.github.io/adapt/generated/adapt.feature_based.mSDA.html) (*marginalized Stacked Denoising Autoencoder*) [[paper]](https://arxiv.org/ftp/arxiv/papers/1206/1206.4683.pdf)
+- [DANN](https://adapt-python.github.io/adapt/generated/adapt.feature_based.DANN.html) (*Discriminative Adversarial Neural Network*) [[paper]](https://jmlr.org/papers/volume17/15-239/15-239.pdf)
+- [ADDA](https://adapt-python.github.io/adapt/generated/adapt.feature_based.ADDA.html) (*Adversarial Discriminative Domain Adaptation*) [[paper]](https://arxiv.org/pdf/1702.05464.pdf)
+- [CORAL](https://adapt-python.github.io/adapt/generated/adapt.feature_based.CORAL.html) (*CORrelation ALignment*) [[paper]](https://arxiv.org/pdf/1511.05547.pdf)
+- [DeepCORAL](https://adapt-python.github.io/adapt/generated/adapt.feature_based.DeepCORAL.html) (*Deep CORrelation ALignment*) [[paper]](https://arxiv.org/pdf/1607.01719.pdf)
+- [MCD](https://adapt-python.github.io/adapt/generated/adapt.feature_based.MCD.html) (*Maximum Classifier Discrepancy*) [[paper]](https://arxiv.org/pdf/1712.02560.pdf)
+- [MDD](https://adapt-python.github.io/adapt/generated/adapt.feature_based.MDD.html) (*Margin Disparity Discrepancy*) [[paper]](https://arxiv.org/pdf/1904.05801.pdf)
+- [WDGRL](https://adapt-python.github.io/adapt/generated/adapt.feature_based.WDGRL.html) (*Wasserstein Distance Guided Representation Learning*) [[paper]](https://arxiv.org/pdf/1707.01217.pdf)
 
 ### Instance-based methods
 
 <img src="https://raw.githubusercontent.com/adapt-python/adapt/a490a5c4cefb80d6222bc831a8cc25b2f65221ce/docs/_static/images/instance_based.png">
 
-- [KMM](https://adapt-python.github.io/adapt/generated/adapt.instance_based.KMM.html) (*Kernel Mean Matching*)
-- [KLIEP](https://adapt-python.github.io/adapt/generated/adapt.instance_based.KLIEP.html) (*Kullback–Leibler Importance Estimation Procedure*)
-- [TrAdaBoost](https://adapt-python.github.io/adapt/generated/adapt.instance_based.TrAdaBoost.html) (*Transfer AdaBoost*)
-- [TrAdaBoostR2](https://adapt-python.github.io/adapt/generated/adapt.instance_based.TrAdaBoostR2.html) (*Transfer AdaBoost for Regression*)
-- [TwoStageTrAdaBoostR2](https://adapt-python.github.io/adapt/generated/adapt.instance_based.TwoStageTrAdaBoostR2.html) (*Two Stage Transfer AdaBoost for Regression*)
+- [KMM](https://adapt-python.github.io/adapt/generated/adapt.instance_based.KMM.html) (*Kernel Mean Matching*) [[paper]](https://proceedings.neurips.cc/paper/2006/file/a2186aa7c086b46ad4e8bf81e2a3a19b-Paper.pdf)
+- [KLIEP](https://adapt-python.github.io/adapt/generated/adapt.instance_based.KLIEP.html) (*Kullback–Leibler Importance Estimation Procedure*) [[paper]](https://proceedings.neurips.cc/paper/2007/file/be83ab3ecd0db773eb2dc1b0a17836a1-Paper.pdf)
+- [TrAdaBoost](https://adapt-python.github.io/adapt/generated/adapt.instance_based.TrAdaBoost.html) (*Transfer AdaBoost*) [[paper]](https://cse.hkust.edu.hk/~qyang/Docs/2007/tradaboost.pdf)
+- [TrAdaBoostR2](https://adapt-python.github.io/adapt/generated/adapt.instance_based.TrAdaBoostR2.html) (*Transfer AdaBoost for Regression*) [[paper]](https://www.cs.utexas.edu/~dpardoe/papers/ICML10.pdf)
+- [TwoStageTrAdaBoostR2](https://adapt-python.github.io/adapt/generated/adapt.instance_based.TwoStageTrAdaBoostR2.html) (*Two Stage Transfer AdaBoost for Regression*) [[paper]](https://www.cs.utexas.edu/~dpardoe/papers/ICML10.pdf)
 
 ### Parameter-based methods
 
 <img src="https://raw.githubusercontent.com/adapt-python/adapt/a490a5c4cefb80d6222bc831a8cc25b2f65221ce/docs/_static/images/parameter_based.png">
 
-- [RegularTransferLR](https://adapt-python.github.io/adapt/generated/adapt.parameter_based.RegularTransferLR.html) (*Regular Transfer with Linear Regression*)
-- [RegularTransferLC](https://adapt-python.github.io/adapt/generated/adapt.parameter_based.RegularTransferLC.html) (*Regular Transfer with Linear Classification*)
-- [RegularTransferNN](https://adapt-python.github.io/adapt/generated/adapt.parameter_based.RegularTransferNN.html) (*Regular Transfer with Neural Network*)
+- [RegularTransferLR](https://adapt-python.github.io/adapt/generated/adapt.parameter_based.RegularTransferLR.html) (*Regular Transfer with Linear Regression*) [[paper]](https://www.microsoft.com/en-us/research/wp-content/uploads/2004/07/2004-chelba-emnlp.pdf)
+- [RegularTransferLC](https://adapt-python.github.io/adapt/generated/adapt.parameter_based.RegularTransferLC.html) (*Regular Transfer with Linear Classification*) [[paper]](https://www.microsoft.com/en-us/research/wp-content/uploads/2004/07/2004-chelba-emnlp.pdf)
+- [RegularTransferNN](https://adapt-python.github.io/adapt/generated/adapt.parameter_based.RegularTransferNN.html) (*Regular Transfer with Neural Network*) [[paper]](https://hal.inria.fr/hal-00911179v1/document)
 
 ## Acknowledgement