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  • |Oct 6 || Tameem Adel |Dec 6 || Ali-Akbar Samadani ...
    501 bytes (73 words) - 09:45, 30 August 2017
  • |Nov 6|| Durgesh Saraph |Dec 4 || Project #6 Mohammad Derakhshani || Project #8 Aurelien Quevenne || Project #3 Yao Ya ...
    1 KB (207 words) - 09:45, 30 August 2017
  • |Mar 1 || Ilia Sucholutsky || 6|| One-Shot Imitation Learning || [https://papers.nips.cc/paper/6709-one-sh |Mar 6 || George (Shiyang) Wen || 7|| AmbientGAN: Generative models from lossy me ...
    9 KB (1,240 words) - 18:05, 19 November 2018
  • |Nov 30 ||Project #6 by Ahmed Ibrahim || Project #15 by Jenna Voisin || Project #9 by Ali-Akb ...
    1 KB (160 words) - 09:45, 30 August 2017
  • |Oct 6 || Joel Smith || || || ...
    2 KB (143 words) - 09:45, 30 August 2017
  • |Oct 30 || Glen Chalatov || 6 || Pixels to Graphs by Associative Embedding || [http://papers.nips.cc/pape |Nov 6 || Nargess Heydari || 10 ||Wavelet Pooling For Convolutional Neural Netwo ...
    14 KB (1,851 words) - 03:22, 2 December 2018
  • |Oct 6 ||Johnny Chow || Jennifer Smith || Zhe Wang ...
    1 KB (158 words) - 09:45, 30 August 2017
  • ...ed Sorting[http://alex.smola.org/papers/2009/QuaSonSmo09.pdf])|| Yun Wang (6) ...
    1 KB (193 words) - 09:45, 30 August 2017
  • |Nov 6 || Ali Ghodsi || || Lecturer|||| |Nov 6 || Ali Ghodsi || || Lecturer|||| ...
    11 KB (1,453 words) - 13:01, 16 October 2018
  • ...aphEliminate on your moral graph, using the elimination ordering (7, 8, 9, 6, 3, 5, 4, 2, 1), and show the resulting reconstituted graph (the graph that (c) Report (b), but using the elimination ordering (7, 6, 8, 9, 4, 3, 2, 5, 1). ...
    14 KB (2,497 words) - 09:45, 30 August 2017
  • |Nov 15 ||Project #|| Project #6 by Jeff Glaister || Project #3 Grace Tompkins, Tatianna Krikella, Swaleh H ...
    2 KB (222 words) - 12:49, 6 October 2020
  • ...Hybridization of supervised and unsupervised learning for fraud detection [6] Figure 3: Proposed Architecture [6] ...
    12 KB (1,776 words) - 19:07, 24 November 2021
  • == 6. Experiments == ...
    9 KB (1,428 words) - 09:46, 30 August 2017
  • ...ocols, known as El Escorial criteria, involves a battery of tests taking 3-6 months. This is a considerable amount of time since a quicker diagnosis wou ...owl. Discov. 2015, 29, 1033–1069. [[http://doi.org/10.1007/s10618-014-0386-6 CrossRef]] ...
    8 KB (1,188 words) - 10:31, 17 May 2022
  • ...enes) while in sparse PCA each involves variables corresponding to at most 6 genes. ...CA (dashed) and the method we explained with <math>k=5</math> and <math>k=6</math> (solid lines). ...
    13 KB (2,202 words) - 09:45, 30 August 2017
  • <math>\,\hat{y_i} = \sum_{\alpha}{Q_{i\alpha}l_{\alpha}} </math> (6)<br /> substituting (6) into (7) gives <math>\,K\approx QLQ^T</math> where <math>\,L_{\alpha\beta} ...
    7 KB (1,093 words) - 09:45, 30 August 2017
  • ...nt labels. This is the simplest and the most inaccurate approach among all 6 methods introduced. The XML-CNN model is compared against the 6 existing competitive methods. The results are as shown in the tables below: ...
    6 KB (969 words) - 21:50, 13 November 2021
  • 6. The re-estimation of <math>\sum_{r_p}</math> is then performed using the s 6. Perform state clustering given the parameters of the untied model in step ...
    8 KB (1,374 words) - 09:45, 30 August 2017
  • ...Tangxinxin Yao, Jingyue Huang, Ming Fan, Mingguang Liu, Xiaohan Wang || 6|| A New Method of Region Embedding for Text Classification || [https://op ...
    5 KB (694 words) - 18:02, 31 August 2018
  • For resolution augmentation, 6 scales of input are used, which results in unpooled layer 5 maps of varying (d). The classifier (layers 6,7,8) has a fixed input size of 5x5 and produces a C-dimensional output vect ...
    19 KB (2,961 words) - 09:46, 30 August 2017
  • ...ch image has 6X6 pixels and each pixel has 8 dimensions. Thus we have 32*6*6 pixels at this point. Consider each pixel is an capsule. We have 32*6*6 capsules <math>u_i</math> from second Conv layer. Thus, we have <math>\hat{ ...
    14 KB (2,384 words) - 12:36, 29 March 2018
  • ...mes 256</math> tensor from Conv1 and produce an output of a <math>6 \times 6 \times 8</math> tensor. * Size of each convolutional unit: <math>6 \times 6</math>. ...
    22 KB (3,375 words) - 22:40, 20 April 2018
  • ...of the most common pretext tasks used are rotations and jigsaw puzzle [4,5,6]. As shown in Figure 2, in the rotation task, unlabeled images, <math> </ma \begin{align} \tag{6} \label{eqn:6} ...
    20 KB (3,045 words) - 23:02, 12 December 2020
  • ...ased NLI systems can be broken by changing words by synonyms or hypernyms [6]. ...antic datasets is a useful means to avoid the problems highlighted in [4,5,6] by means of asking humans to (i) provide counterfactual labels, (ii) retai ...
    10 KB (1,605 words) - 19:42, 6 December 2020
  • ...the SSL dataset domain has a positive effect, with diminishing ends. Fig. 6(b) shows the effects of shifting the domain of the SSL dataset, by changing <div align="center">Figure 6: (a) Effect of number of images on SSL. (b) Effect of domain shift on SS ...
    17 KB (2,644 words) - 01:46, 13 December 2020
  • ...lemi, et al. proposed a deep sequence model for premise selection in 2016 [6], and they claim to be the first team to involve deep neural networks in AT ...izar_article.png|thumb|center|Figure 4. An article from MML. Adapted from [6].]] ...
    20 KB (3,127 words) - 20:45, 10 December 2018
  • ...= \underset{j \ne y_i} \Sigma Q_{ij} \le c, \;\;\; ||XQ||_2 \le 1 \;\;\; (6) </math> In <math>\,(6)</math>, <math>\,Q \in \mathbb{R}^{m\times k}</math> is the dual Lagrange v ...
    24 KB (3,815 words) - 09:45, 30 August 2017
  • | Conv 6 || 1 x 1 x 512 || 1 || 56 x 56 x 512 ...rform detection, as shown to be beneficial in Ren et al<sup>[[#References|[6]]]</sup>. ...
    19 KB (2,746 words) - 16:04, 20 November 2018
  • |Nov 20 || Maya(Mahdiyeh) Bayati, Saber Malekmohammadi, Vincent Loung || 6|| Convolutional Neural Networks for Sentence Classification || [https://arxi ...
    6 KB (827 words) - 11:33, 5 September 2020
  • == 6. Conclusions == ...
    12 KB (1,976 words) - 23:37, 20 March 2018
  • ...ccurring afterward. Throughout the four blocks, pooling windows are 10, 8, 6, and 4 respectively. Dilated convolutional layers are also used in lieu of ...ghbor up-sampling followed by conventional convolution with kernel sizes 4,6,9 and 10 and batch normalization. The resulting feature maps are then conca ...
    8 KB (1,170 words) - 01:41, 26 November 2021
  • ...sitive instance in the bag. Some authors combine MIL with Neural Networks[6, 7] and model SMI by max-pooling. This approach is inefficient due to only 6 subtypes of glioma WSI have been tested in this paper: Glioblastoma (GBM), ...
    16 KB (2,470 words) - 14:07, 19 November 2021
  • ...soon as we enter the building (cross the outermost door) set indoors to 1. 6) As soon as we exit, set indoors to 0. 7) Stop recording. 8) Save data as C ...soon as we enter the building (cross the outermost door) set indoors to 1. 6) Finally, enter a building and ascend/descend to any story. 7) Ascend throu ...
    18 KB (2,896 words) - 18:43, 16 December 2018
  • ...ight \|_{1})+\lambda_{2}\left \|\mathbf{\theta} \right \|_{2}^{2}, \;\;\;(6) </math></center> ...{\alpha}_{i} \right \|_{1}</math>.<br /><br /> The learning procedure in (6) minimizes the sum of the costs for the pairs <math>(\mathbf{x}_{i},y_{i})_ ...
    21 KB (3,291 words) - 09:45, 30 August 2017
  • ...eline models, the classic NMT with beam search (NMT-BS)<sup>[[#References|[6]]]</sup> and the one referred as beam search optimization (NMT-BSO), which ...contains 12M, 4.5M and 10M training data for each task.<sup>[[#References|[6]]]</sup> ...
    22 KB (3,543 words) - 00:09, 3 December 2017
  • ...ta is used to generate ground truth labels, such as the Jigsaw puzzle task[6], and the rotation estimation[3]. For example, in the rotation task, we hav * In Jigsaw task [6], the unlabelled images are divided into nine patches and then, the patches ...
    12 KB (1,792 words) - 00:08, 13 December 2020
  • == 6. Conclusions == ...
    14 KB (2,192 words) - 03:01, 23 November 2018
  • ...es are described in the papers by Rabiner and Juang [5] as well as Kalman [6]. The difference with these presentations is that the latent dynamics are c ...einforcement learning: A brief survey. IEEE Signal Processing Magazine, 34(6), 26–38. ...
    13 KB (2,072 words) - 06:07, 10 December 2020
  • ...\leq 1, \; P_1(\textbf{u}) \leq c_1, \; P_2(\textbf{v}) \leq c_2, \;\;\; (6) </math></center> <br /> ...xtbf{v}</math> and the following iterative algorithm can be used to solve (6). <br/> ...
    30 KB (4,829 words) - 09:45, 30 August 2017
  • |Oct 31 || ||6 || || || ...
    10 KB (1,213 words) - 19:28, 19 November 2020
  • L = L_{CE} + L_{Reg} + \lambda \times L_{MR} \tag{6} \label{eq:op5} <div align="center">'''Figure 6:''' Analyzing Co-Exitation</div> ...
    22 KB (3,609 words) - 21:53, 6 December 2020
  • ==Project 6: Dimensionality Reduction for Supervised Learning == ...arge-scale noisy anchor-free graph realization. SIAM J. on Sci. Comp., 31, 6, 4351-4372. </ref>. ...
    17 KB (2,679 words) - 09:45, 30 August 2017
  • ...into three categories: (a) appropriately selecting the neighbors [2] [5] [6] [7] [10]; (b) identifying the outliers [4] [8]; (c) dealing with the insta 6. Optional: extend the analysis to other financial time series, e.g. GDP, un ...
    15 KB (2,332 words) - 09:45, 30 August 2017
  • ...; margin-left: auto; margin-right: auto;">[[File:Screen Shot 2018-11-10 at 6.03.08 PM.png|400px]]</div> ...layers directly to the deep layers are coming from networks like ResNet [6] ...
    21 KB (3,227 words) - 18:12, 14 December 2018
  • ...le 1. The baseline models are D-MTAE[5],Deep-All (Vanilla AlexNet)[2], DSN[6]and AlexNet+TF[2]. On average, the proposed method outperforms other method ...ctors – pole length and cart mass. In both experiments, we randomly choose 6 source domains for training and hold out 3 domains for (true) testing. Sinc ...
    14 KB (2,177 words) - 00:41, 7 December 2020
  • | No conv, 6 full ...3-5% relative improvement over Hybrid DNN. Also CNN-based feature offers 5-6% relative improvement over DNN-based features. ...
    11 KB (1,587 words) - 09:46, 30 August 2017
  • ...eta}</math> we will get the factorized matrix <math>X\approx QYQ^T</math> (6)<br /> First, starting from the m-dimensional solution of eq. (6), use conjugate gradient methods to maximize the objective function in eq. ...
    12 KB (1,953 words) - 09:45, 30 August 2017
  • ...ained InceptionV3 network where all layers except the last one are frozen [6] (Footnote). Adding only one poison instance to the training set causes mis [6] Christian Szegedy, Vincent Vanhoucke, Sergey Ioffe, Jon Shlens, and Zbigni ...
    11 KB (1,590 words) - 18:29, 26 November 2021
  • ...ation of two entities in the same sentence into 6 potential relations. The 6 relations are USAGE, RESULT, MODEL-FEATURE, PART WHOLE, TOPIC, and COMPARE. ...ioned 9 natural language relationships between the word pairs. Among them, 6 potential relationships are USAGE, RESULT, MODEL-FEATURE, PART WHOLE, TOPIC ...
    15 KB (2,408 words) - 21:25, 5 December 2020
  • ...ionary (DND) used in Neural Episodic Control (NEC) found in [[#References|[6]]], though the gradients from the memory in the MbPA model are not used dur * <sup>[6]</sup>Pritzel. Alexander, Uria. Benigno, Srinivasan. Sriram, Puigdome ...
    12 KB (1,963 words) - 23:48, 9 November 2018
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