Unsupervised Domain Adaptation by Backpropagation

TPOT: A Tree-based Pipeline Optimization Tool for ...

JMLR: Workshop and Conference Proceedings 64:66{74, 2016 ICML 2016 AutoML Workshop TPOT: A Tree-based Pipeline Optimization Tool for Automating Machine …

  Automating, Machine, Tool, Pipeline, Optimization, Pipeline optimization tool for automating machine

Ensembles for Time Series Forecasting

Ensembles for Time Series Forecasting set of real world time series. Our results clearly indicate that this is a promising research direction. In Section2we provide a brief description of the tasks being tackled in this paper.

  Series, Time, Time series, Forecasting, Beslenme, Ensembles for time series forecasting

Show, Attend and Tell: Neural Image CaptionGeneration …

Show, Attend and Tell: Neural Image Caption Generation with Visual Attention Kelvin Xu? [email protected] Jimmy Lei Bay [email protected] Ryan Kirosy [email protected] Kyunghyun Cho?

  Image, Attention, Neural, Tell, And tell, Neural image captiongeneration, Captiongeneration

Wasserstein Generative Adversarial Networks

Wasserstein Generative Adversarial Networks Figure 1: These plots show ˆ(P ;P 0) as a function of when ˆis the EM distance (left plot) or the JS divergence (right plot).The EM plot is continuous and provides a usable gradient everywhere.

  Network, Adversarial, Generative, Wasserstein generative adversarial networks, Wasserstein

Self-Attention Generative Adversarial Networks

Self-Attention Generative Adversarial Networks Figure 1. The proposed SAGAN generates images by leveraging complementary features in distant portions of the image rather than local regions of fixed shape to generate consistent objects/scenarios. In each row, the first image shows five representative query locations with color coded dots.

  Network, Self, Attention, Adversarial, Generative, Self attention generative adversarial networks

Generative Adversarial Text to Image Synthesis

deep convolutional decoder networks to generate realistic images.Dosovitskiy et al.(2015) trained a deconvolutional network (several layers of convolution and upsampling) to generate 3D chair renderings conditioned on a set of graph-ics codes indicating shape, position and lighting.Yang et al. (2015) added an encoder network as well as actions ...

  Image, Texts, Decoder, Synthesis, Deep, Encoder, Convolutional, Text to image synthesis, Deep convolutional decoder

On the di culty of training recurrent neural networks

On the di culty of training recurrent neural networks @Et+1 @xt+1 Et Et+1 Et 1 xt 1 xt +1 ut +11 u tu @Et @xt @Et1 @xt1 @ xt +2 @xt +1 @x +1 x @xt1 @xt1 @xt2 Figure 2. Unrolling recurrent neural networks in time by creating a copy of the model for each time step.

Deep Gaussian Processes

representational power of a Gaussian process in the same role is significantly greater than that of an RBM. For the GP the corresponding likelihood is over a continuous vari-able, but it is a nonlinear function of the inputs, p(yjx) = N yjf(x);˙2; where N j ;˙2 is a Gaussian density with mean and variance ˙2. In this case the likelihood is ...

  Process, Gaussian, Gaussian process

Noise-contrastive estimation: A new estimation principle ...

ated noise y. The estimation principle thus relies on noise with which the data is contrasted, so that we will refer to the new method as “noise-contrastive estima-tion”. In Section 2, we formally define noise-contrastive es-timation, establish fundamental statistical properties, and make the connection to supervised learning ex-plicit.

  Into, Noise, Estimation, Contrastive, Noise contrastive estimation, Noise contrastive estima tion, Estima, Timation

Gender Shades: Intersectional Accuracy Disparities in ...

117 million Americans are included in law en-forcement face recognition networks. A year-long research investigation across 100 police de-partments revealed that African-American indi-viduals are more likely to be stopped by law enforcement and be subjected to face recogni-tion searches than individuals of other ethnici-ties (Garvie et al.,2016).

  Enforcement, Gender, Shades, Stopped, Forcement, Stopped by law enforcement, Law en forcement, Gender shades

Philippine Climate Change Adaptation

Building Capacity and Delivering Action Building Adaptive Capacity Addressing institutional, legal, cultural, technical, fiscal and other barriers ... Climate Change Adaptation and Mitigation in pursuance to the Social Contract n Natural resources conserved, protected and rehabilitation Environmental quality for a

  Change, Climate, Building, Adaptation, Climate change adaptation

Core elements Health Building Note 00-04: Circulation and ...

to building design and include data on personnel, planning relationships, environmental considerations, design character, space requirements and graphical layouts. ... healthcare buildings and on the adaptation/ extension of existing facilities. 1.2 Core subjects are divided into specific topics and

  Building, Adaptation

Human Security: Building Resilience to Climate Threats - Un

Building Resilience to Climate Threats One of the most pressing issues of our time, climate change threatens the lives and ... enhanced community-based adaptation strategies, and

  Building, Adaptation

Buildings - Intergovernmental Panel on Climate Change

9 5 Climate change feedback and interaction with adaptation ... new building construction and existing building retrofit. As a result, the urgent adoption of state-of-the-art performance standards, in both new and retrofit buildings, avoids locking-in carbon intensive options

  Building, Adaptation

Model-Agnostic Meta-Learning for Fast Adaptation of …

Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn 1Pieter Abbeel1 2 Sergey Levine Abstract We propose an algorithm for meta-learning that is model-agnostic, in the sense that it is com-patible with any model trained with gradient de-scent and applicable to a variety of different

  Model, Team, Learning, Adaptation, Agnostics, Model agnostic meta learning

Decision -/CP.26 Long-term climate finance

Welcomes the recent pledges made to the Adaptation Fund (totalling USD 351.6 million) and to the Least Developed Countries Fund (totalling USD 605.3 million); 3. Notes the continued efforts of developed country Parties towards reaching the goal of mobilizing jointly USD 100 billion per year by 2020, in the context of meaningful mitigation

  Adaptation

Empathy Games - Scout

Purpose: Team building, bending the personal space bubble, Communication Procedure: Get the group in a tight circle. Have the members of the group reach in with their tight hands and grasp one of the right hands available. Repeat with left hands. Then ask them to unravel the knot. People may not let go. The circle of hands is to remain unbroken.

  Building