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...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{ ...

...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>. ...

...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} ...

...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 ...

...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 ...

...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].]] ...

...= \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 ...

| Conv 6 || 1 x 1 x 512 || 1 || 56 x 56 x 512 ...rform detection, as shown to be beneficial in Ren et al^{[[#References|[6]]]}. ...

|Nov 20 || Maya(Mahdiyeh) Bayati, Saber Malekmohammadi, Vincent Loung || 6|| Convolutional Neural Networks for Sentence Classification || [https://arxi ...

== 6. Conclusions == ...

...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 ...

...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), ...

...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 ...

...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})_ ...

...eline models, the classic NMT with beam search (NMT-BS)^{[[#References|[6]]]} and the one referred as beam search optimization (NMT-BSO), which ...contains 12M, 4.5M and 10M training data for each task.^{[[#References|[6]]]} ...

...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 ...

== 6. Conclusions == ...

...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. ...

...\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/> ...

|Oct 31 || ||6 || || || ...