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...g, which treats segmentation similar to how the popular image classifier U-net treats image segmentation. It does not need hyperparameter or architectural U-Time is a fully convolutional encoder-decoder network. Inspired from U-Net, U-time performs 1D time series segmentation by mapping a whole sequence to ...

...mplicated and have high memory requirements while performing many floating-point operations (FLOPs). As a result, running many of these models will be very ...energy-savings because integer operations are more efficient than floating point (see the table below). Also, there already exists dedicated hardware for de ...

...k, the artificial intelligence may not learn it very well. For instance, a net with pixel dimension 1000*1000 is less likely to identify complicated objec [[File:CSLFigure1.PNG | 500px]] ...

...in this paper, whose output distribution is proved to converge to a fixed point, thus making it possible to train deeper networks. ===Self-Normalizing Neural-Net (SNN)=== ...

...ing is to process images captured from a pair of stereo cameras, produce a point cloud and use various heuristics to build a traversability map <ref name="g ...rithms to map traversability information to color histograms or geometric (point cloud) data has achieved success in the DARPA challenge. ...

[[File:intro.png]] ...btain a prediction. Thus, at test time, the idea is to use a single neural net without dropout. The weight of this network are scaled-down versions of the ...

[[File:thompson sampling coin example.png|thumb||||600px|Source: [https://www.quora.com/What-is-Thompson-sampling-in- [[File:dropout_results.png|thumb||center||700px|Source: this paper's appendix]] ...

...eft: auto; margin-right: auto;">[[File:Screen_Shot_2018-11-10_at_6.03.00_PM.png|150px]] ...eft: auto; margin-right: auto;">[[File:Screen Shot 2018-11-10 at 6.03.08 PM.png|400px]]</div> ...

# Using a multi-scale convolutional net to learn good features for region classification ...image representations. In the first representation, the image is seen as a point in a high-dimensional space, and we seek to find a transform <math>f: \math ...

[[File:Experiment Set Up.png |800px| center]] [[File:Categories Multilabel.png|800px|center]] ...

...re x and y are the offset distance in x and y directions from the previous point. The parameters <math>p_{1}, p_{2}, p_{3}</math> represent three possible s [[File:sketchfig2.png|700px|center]] ...

...For example, the winner of the COCO 2016 competition was an [http://image-net.org/challenges/talks/2016/GRMI-COCO-slidedeck.pdf ensemble of CNNs], which * The feature concatenation method from DenseNets(Dense net is CNN with shorter connections close to input and output) allows the later ...

[[File:fig1_generated_image.png|thumb|upright=2|center|alt=text|alt=text|Figure 1: Examples of generated im [[File:fig2_VAE.png|thumb|upright=2|center|alt=text|Figure 2: Structure of a VAE]] ...

...the problem of calling SNPs and small indels using a convolutional neural net by casting the reads as images and classifying whether they contain a mutat ...reference sequence independently. Any unusable reads are filtered at this point. This includes reads that are not appropriately aligned, marked as duplicat ...

[[File:SampleQA.png|400px|centre]] ...t variable when determining the answer. This is written as: [[File:formula1.png|200px]] ...

This page contains a summary of the paper "[https://openreview.net/forum?id=ryRh0bb0Z Multi-View Data Generation without Supervision]" by Mick ...of handling multi-view inputs has mainly been studied from the predictive point of view where one wants, for example, to learn a model able to predict/clas ...

point, from which a global fine-tuning of the model’s parameters is then performe [[File:W1.png]] ...

(Reference: https://www.recode.net/2015/7/15/11614684/ai-conspiracy-the-scientists-behind-deep-learning) [[File:capsules.png| frame | center |Fig 2.]] ...

[[File:Q12.png]] [[File:LISTA2.png |frame | center |Figure 1: Comparison of LISTA and FISTA. Squared-error in ...

...researchers recently published a highly related paper "[https://openreview.net/pdf?id=HJWLfGWRb Matrix Capsules with EM Routing]" for ICLR 2018. Source co [[File:adversarial_img_1.png ‎|center]] ...

...un a RF, 100 trees were generated with m/3 descriptors used at each branch-point, where m was the number of unique descriptors in the training set. The tree ...h as number of layers, neurons, influence the performance of a deep neural net, Ma and his colleagues did a sensitivity analysis. They trained 71 DNNs wit ...

[[File:Source-and-Target-Domain-Office-31-Backpack.png|thumb|right|The Office-31 Dataset Images for Backpack. Shows the variation [[File:RTN-Structure.png|thumb|left|upright|The overarching structure of the RTN. Consists of an exi ...

[[File:weights_mnist2.png|center|400px]] [[File:mnist_figure.png|center|500px]] ...

[[File:cows_in_field.png | 500px ]] Image:labeled_cows.png|Labeled Result ...

[[File:figure1-soroush.png|600px|thumb|center|Figure 1. Our environment is built of real-world places ...Using this environment, the agent can navigate from an arbitrary starting point to a goal and then to another goal etc. Also, London, Paris, and New York C ...

[[File:UnDirGraphCanon.png|thumb|right|Fig.20 The only way to connect 3 nodes in an undirected graph.] [[File:UnDirGraphCase1.png|thumb|right|Fig.21 The ball can pass through the middle node.]] ...

than a convolutional net at recognizing highly overlapping digits. To achieve these [[File:DRBC_Figure_1.png|650px|center||Source: Sabour, Frosst, Hinton, 2017]] ...

'''Learning with an adversarial net:''' ...train through alternating optimization, both methods are improved until a point where the ''counterfeits are indistinguishable from the genuine articles''. ...

...hronously. Each source may have a different bias or noise. ([[Media: Junyi1.png|Figure 1]]) The investment bank with more clients can update their informat [[File:Junyi1.png | 500px|thumb|center|Figure 1: Quotes from four different market participan ...

...of computation and the validity of both approaches were discussed. A main point that was brought up in class is that Frequentists consider X to be a random ...h>. This is the case where each distribution is spherical, around the mean point. ...

[[File:directed.png|thumb|right|Fig.1 A directed graph.]] [[File:undirected.png|thumb|right|Fig.2 An undirected graph.]] ...

...it looks malignant or benign. Some popular methods for diagnosis are the 7-point checklist and the ABCD rubric. They are both based on very subjective crite ...anation of common terms used in ANN (perceptron, back propagation, sematic net, etc.) ...

...cision_boundary decision boundary] where the error rates for classifying a point are equal, where one side of the boundary gives a lower error rate for one [[File:estimation.png|250px|thumb|right|Estimation of the probability of belonging to either clas ...

[[File:cs1.png]] [[File:cs2.png]] ...