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OHCHRurgesall governmentsto fightTrafficking in Persons, both directly—through investigations and prosecutions – and in the deeper sense of serious and sustained efforts at prevention.



UNODC awareness raising inSouth East Asia

©UNODC / Country Office in the Lao People's Democratic Republic


UNHCRdraws attention to the humanitarian consequences of human trafficking and calls for a human rights-based approach, which goes beyond identifying and prosecuting the perpetrators, and includes measures to address the protection needs of the victims.

©UNHCR / K. McKinsey


IOM assists 1 in 7 victims of trafficking identified worldwide through its counter-trafficking programmes.Since 1997, it has assisted over 85,000 cases.IOM’s approach is based on: respect for human rights; physical, mental and social well-being of the individual;and sustainability.


UNICEF Goodwill Ambassador Jackie Chan watches students perform UNICEF the story "Stranger Danger" which draws attention to the risks of trafficking at a UNICEF-supported special school programme for out of school children in Mandalay.

© UNICEF/MAMA2012-00048/Thame

ICAT is a policy forum mandated by the UN General Assembly to improve coordination among UN agencies and other relevant international organizations to facilitate aholistic and comprehensive approach to preventing and combating trafficking in persons, including protection and support for victims of trafficking.

ICAT functions are: To provide a platform for exchange of information, experiences and good practices on anti-trafficking activities; tosupportthe activities of the UN and other international organizations with the aim of ensuring a full and comprehensive implementation of all international instruments and standards of relevance for the prevention and combating of trafficking in persons and protection of and support for victims of trafficking; to work towards a comprehensive, coordinated and holistic approach to human trafficking, which is gender and age-sensitive and grounded in a human rights based-approach; and topromote effective and efficient use of existing resources, using, to the extent possible, mechanisms already in place at the regional and national level.


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This report provides an overview of ICAT’s accomplishments since it was created a decade ago.

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This paper provides an up-to-date overview of the mandates of ICAT organizations, reflecting evolutions in their mandates, as well as in the international response to trafficking in persons.

The Role of the Sustainable Development Goals in Combatting Trafficking in Persons

ICAT Issue Brief 05, 04/2018

The Issue Brief looks at the context specifically related to the three Sustainable Development Goal (SDG) targets related to trafficking in persons, Targets 5.2, 8.7, and 16.2.

ICAT is a policy forum mandated by the UN General Assembly to improve coordination among UN agencies and other relevant international organizations to facilitate an holistic and comprehensive approach to preventing and combating trafficking in persons.

The concept of attention is the most interesting recent architectural innovation in neural networks.


Now, I don’t want to dive into too many details but a soft attention scheme for memory addressing is convenient because it keeps the model fully-differentiable, but unfortunately one sacrifices efficiency because everything that can be attended to is attended to (but softly). Think of this as declaring a pointer in C that doesn’t point to a specific address but instead defines an entire distribution over all addresses in the entire memory, and dereferencing the pointer returns a weighted sum of the pointed content (that would be an expensive operation!). This has motivated multiple authors to swap soft attention models for hard attention where one samples a particular chunk of memory to attend to (e.g. a read/write action for some memory cell instead of reading/writing from all cells to some degree). This model is significantly more philosophically appealing, scalable and efficient, but unfortunately it is also non-differentiable. This then calls for use of techniques from the Reinforcement Learning literature (e.g. REINFORCE) where people are perfectly used to the concept of non-differentiable interactions. This is very much ongoing work but these hard attention models have been explored, for example, in Gabor Womens 71610 Grey UpCCGjukxf
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Code . If you’d like to play with training RNNs I hear good things about KSwiss Womens Hoke Metallic CMF S Athletic Shoe Gold/Black/White ounp4pPi1A
or passage for Theano, the released with this post for Torch, or this gist for raw numpy code I wrote a while ago that implements an efficient, batched LSTM forward and backward pass. You can also have a look at my numpy-based NeuralTalk which uses an RNN/LSTM to caption images, or maybe this Womens Fashion Sneakers Breathable Lace on Sport Shoes For Studentes By Btrada White 3VSZu
implementation by Jeff Donahue.

We’ve learned about RNNs, how they work, why they have become a big deal, we’ve trained an RNN character-level language model on several fun datasets, and we’ve seen where RNNs are going. You can confidently expect a large amount of innovation in the space of RNNs, and I believe they will become a pervasive and critical component to intelligent systems.

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Mar 30, 2018
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