NOTICE

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MIT Licence for "Self-Ensembling for Visual Domain Adaptation"
===============================================================================

For implementation of functions related to self-ensembling, we code released at 
https://github.com/Britefury/self-ensemble-visual-domain-adapt and
https://github.com/Britefury/self-ensemble-visual-domain-adapt-photo/, under
the  following copyright notice (MIT License):

Copyright (c) 2017 University of East Anglia, Norwich, UK

Permission is hereby granted, free of charge, to any person obtaining a copy
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The above copyright notice and this permission notice shall be included in all
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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SOFTWARE.

================================================================================
Learning by Association's Apache 2 Licence 
================================================================================

We used the data loading functions for the USPS dataset from the Learning by 
Association repository https://github.com/haeusser/learning_by_association and
include the copyright notice and license:

Copyright 2016 Google Inc.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
    http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.

                                Apache License
                        Version 2.0, January 2004
                    http://www.apache.org/licenses/

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===============================================================================
License for PyTorch
===============================================================================

Some data loading functions in salad as well as the implementation of ResNets 
are modified from the original implementation in pytorch and torchvision, which 
can be obtained at https://github.com/pytorch/pytorch, under the following 
copyright notice:


From PyTorch:

Copyright (c) 2016-     Facebook, Inc            (Adam Paszke)
Copyright (c) 2014-     Facebook, Inc            (Soumith Chintala)
Copyright (c) 2011-2014 Idiap Research Institute (Ronan Collobert)
Copyright (c) 2012-2014 Deepmind Technologies    (Koray Kavukcuoglu)
Copyright (c) 2011-2012 NEC Laboratories America (Koray Kavukcuoglu)
Copyright (c) 2011-2013 NYU                      (Clement Farabet)
Copyright (c) 2006-2010 NEC Laboratories America (Ronan Collobert, Leon Bottou, Iain Melvin, Jason Weston)
Copyright (c) 2006      Idiap Research Institute (Samy Bengio)
Copyright (c) 2001-2004 Idiap Research Institute (Ronan Collobert, Samy Bengio, Johnny Mariethoz)

From Caffe2:

Copyright (c) 2016-present, Facebook Inc. All rights reserved.

All contributions by Facebook:
Copyright (c) 2016 Facebook Inc.
 
All contributions by Google:
Copyright (c) 2015 Google Inc.
All rights reserved.
 
All contributions by Yangqing Jia:
Copyright (c) 2015 Yangqing Jia
All rights reserved.
 
All contributions from Caffe:
Copyright(c) 2013, 2014, 2015, the respective contributors
All rights reserved.
 
All other contributions:
Copyright(c) 2015, 2016 the respective contributors
All rights reserved.
 
Caffe2 uses a copyright model similar to Caffe: each contributor holds
copyright over their contributions to Caffe2. The project versioning records
all such contribution and copyright details. If a contributor wants to further
mark their specific copyright on a particular contribution, they should
indicate their copyright solely in the commit message of the change when it is
committed.

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