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|Oct 6 || Tameem Adel |Dec 6 || Ali-Akbar Samadani ...

|Nov 6|| Durgesh Saraph |Dec 4 || Project #6 Mohammad Derakhshani || Project #8 Aurelien Quevenne || Project #3 Yao Ya ...

|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 ...

|Nov 30 ||Project #6 by Ahmed Ibrahim || Project #15 by Jenna Voisin || Project #9 by Ali-Akb ...

|Oct 6 || Joel Smith || || || ...

|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 ...

|Oct 6 ||Johnny Chow || Jennifer Smith || Zhe Wang ...

...ed Sorting[http://alex.smola.org/papers/2009/QuaSonSmo09.pdf])|| Yun Wang (6) ...

|Nov 6 || Ali Ghodsi || || Lecturer|||| |Nov 6 || Ali Ghodsi || || Lecturer|||| ...

...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). ...

|Nov 15 ||Project #|| Project #6 by Jeff Glaister || Project #3 Grace Tompkins, Tatianna Krikella, Swaleh H ...

...Hybridization of supervised and unsupervised learning for fraud detection [6] Figure 3: Proposed Architecture [6] ...

== 6. Experiments == ...

...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]] ...

...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). ...

<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} ...

...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. 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 ...

...Tangxinxin Yao, Jingyue Huang, Ming Fan, Mingguang Liu, Xiaohan Wang || 6|| A New Method of Region Embedding for Text Classification || [https://op ...

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 ...

...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 || || || ...

L = L_{CE} + L_{Reg} + \lambda \times L_{MR} \tag{6} \label{eq:op5} <div align="center">'''Figure 6:''' Analyzing Co-Exitation</div> ...

==Project 6: Dimensionality Reduction for Supervised Learning == ...arge-scale noisy anchor-free graph realization. SIAM J. on Sci. Comp., 31, 6, 4351-4372. </ref>. ...

...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 ...

...; 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] ...

...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 ...

| No conv, 6 full ...3-5% relative improvement over Hybrid DNN. Also CNN-based feature offers 5-6% relative improvement over DNN-based features. ...

...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. ...

...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 ...

...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 ...

...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 * ^[6]Pritzel. Alexander, Uria. Benigno, Srinivasan. Sriram, Puigdome ...

...le, "AU 1" stands for the inner portion of the brows being raised, and "AU 6" stands for the cheeks being raised. Such a framework helps in describing a ...hich recognizes both permanent and transient AUs with high accuracy rates [6]. Hand-crafted feature descriptors like the LBP are very powerful facial re ...

:<math> X = \{0, 1, 2, 3, 4, 5, 6, 7, 8\} \rightarrow</math>'''State Space''' ...

6. Both natural and random images are found to be vulnerable to adversarial p The result is summarized in Figure 6: ...

...\max_{x_k} \psi(x_j,x_k) \phi(x_k,y_k) \prod_{i!=j} \hat{M}^l_k \,\,\, (6) ...ration uses the messages above as the <math>\hat{M}</math> variables in Eq(6) : ...

...es. Particularly, in the car, person, and rider categories, a 12%, 7%, and 6% higher performance than SharpMask is achieved. File:Figure_3_Neel.JPG|Figure 6: Qualitative results: comparison with human annotator.|alt=alt language ...

...m \; L(y_{ti} , <w_t,x_ti)>) + \gamma \sum_{t=1}^T \; <w_t,D^+w_t> \;\;\; (6)</math></center> ...d in the Reference section) that the function <math>\,R</math> in <math>\,(6)</math> is jointly convex in both <math>\,W</math> and <math>\,D</math>. ...

...rpretations directly in the models, often known as self-explaining models [6, 7, 8, 9]. The alternative option is to generate interpretations in post-ho [6] David Alvarez-Melis and Tommi S Jaakkola. Towards robust interpretability ...

...t reached an accuracy of 72%. Reducing the size of the training dataset to 6 billion caused lower accuracy (66%), which suggests that large amount of th Table 6 shows the empirical comparison between different neural network-based repre ...

...ons are shown to useful for language learning[2]. Several studies[3][4][5][6] have shown that feedback is especially useful in second language learning ...s right”. In the datasets, there are 6 templates for positive feedback and 6 templates for negative feedback, e.g. ”Sorry, that’s not it.”, ”Wrong”, etc ...

...ics simulator to create a simulated environment where robotic spiders with 6 legs are faced with the task of running due east as quickly as possible. Th ...e task of walking east with the torques of two legs scaled by <math> (i-1)/6 </math> ...

== 6 End To End Evaluations == === 6.1 System Implementation === ...

...even learn the emotion of the agents based on their voices. Aytar et al. [6] proposed a student-teacher training procedure in which a well established 6 seconds of audio was used to compute the spectogram by taking a Short-time ...

...ref>R. Smith, "Size of the Moon", Scientific American, 46 (April 1978): 44-6.</ref> ...

...ion-Answering ('''ReQA''') benchmark [5] and used two datasets '''SQuAD'''[6] and '''Natural Questions'''[7] for training and evaluating their models. ...e experiments they did with augmented the dataset as will be seen in table 6. ...

...from each class of the CIFAR-10 validation set. Based on figure 4, 5, and 6, we can see that the <math>L(\delta)</math> (classification loss), <math>T In figure 6 and 7, we can see the effect of <math>\lambda_s</math> on the dissimilarity ...

==Project 6: Application of clustering in bioinformatics: How the structure of a molec ...

...used for training and the others reserved for testing. Table 2 and Figure 6 outlines the result, showing that the proposed RCNN model performs consiste ...EE Transactions on Pattern Analysis and Machine Intelligence, vol. 29, no. 6, pp. 1052–1067, 2007. ...

...onventional Neural Networks [1,2,3] and their shifted version 3D CNNs [4,5,6] have been employed in action recognition but they identify and aggregate t * 6 Alternative layers with 64, 128, 256, 256, 512 and 512 kernel response maps ...

6. For classification tasks, the idea of learning a “new object” is analogous 6) The simple decaying Hebbian formula in Equation 2 is used to update the He ...

'''Project 6''' ...

\tag{6} \label{6} ...

...x. If interested, the derivation of the whitening equation can be seen in [6]. Li et al. found that whitening removed styles from the image. Authors use $\alpha$ = 0.6 in the style transfer experiments. ...

...ous section (<math>\epsilon = 0.05</math>) gives an approximation of order 6. Additionally, the 8th order and 6th order representations are similar and ...

...ng a fair die repetitively to produce a series of random numbers from 1 to 6). ...917, ''b'' = 11, and ''m'' = 2⁴⁸<ref>http://java.sun.com/javase/6/docs/api/java/util/Random.html#next(int)</ref>. The class returns at most 3 ...

<math>f_{1}=6,8,10,\cdots,20</math> <math>f_{1}=6,8,10,\cdots,20</math> ...

70 & 76 & -20 & -6 \\ ...training and validation sets as the number of epochs increases, and Table 6 shows the accuracy performance. Average pooling demonstrated the highest ac ...

...atasets according to their contextual group <math> X </math> according to [6] and they compare their results using compression ratio <math> \Delta s = \ ...the images mostly taken at night time were selected from DNIM. The figure 6 shows that for DNiM images, the agent's choices are mostly concentrated in ...

...for that task, owing again to the overparameterization of the network [5, 6, 7, 8]. [6] Li, Y. and Liang, Y. (2018). Learning overparameterized neural networks vi ...

...t the exact architecture and experimental setting of the GrammarVAE (GVAE)[6] and replace its variational framework with that of an RAE's utilizing the [6] Matt J. Kusner, Brooks Paige, and José Miguel Hernández-Lobato. Grammar va ...

...ng clean/noisy in order to train the student network on cleaner instances [6]. [[File:Co-Teaching Table 6.png|550px|center]] ...

...cipal component analysis. ''Journal of the Royal Statistical Society, B'', 6(3):611-622, 1999.</ref> ; they found that the closed-form solution for <mat ...ssian Process Latent Variable Models. Journal of Machine Learning Research 6 (2005) 1783–1816. November, 2005. ...

...s the state-of-the-art on the VQA dataset from 60.3% to 60.5%, and from 61.6% to 63.3% on the COCO-QA dataset. By using ResNet, the performance is furth ...l-attention" has also been implemented in VQA tasks, which is explored in [6]. ...

...sed on the magnitude values so eq. (3) and (4) get transformed to (5) and (6), respectively: ...ilon \quad \{ t_{1}, t_{2},....., t_{k} \} \quad else \quad 0 \quad \quad (6) ...

...arted to appear, for example, the Gaussian Copula Process Volatility model[6]. For this paper, the authors use coupling AR models and neural networks to ...tasets and check how these networks perform. The result is shown in Figure 6. ...

...ities, it will necessarily be higher. The 6.7, for example, indicates that 6.7% of the ground truth tuples appeared in the proposals of the network. ...mages. For this, they used the Visual Genome dataset, with so = 3 and sr = 6. Overall, the new architecture vastly outperformed past models. The results ...

...the TLD framework outperforms previous state-of-arts tracking approaches [6]. 6) Deep learning models like stacked autoencoder have been used to learn good ...

...pics. Therefore, The TCNLM uses a diversity regularizer^{[[#References|[6]]]}^{[[#References|[7]]]} to reduce it. The idea is to regular * ^{[http://www.cs.cmu.edu/~pengtaox/papers/kdd15_drbm.pdf [6]]}P. Xie, Y. Deng, and E. Xing. Diversifying restricted boltzmann mach ...

..._i - y_j \|^2}{\sqrt{D_{ii}D_{jj}}} </math> (6) ...<math>\,\, \mathbf{y=\sigma[-17(\sqrt((\theta_r-\pi)^2+(\theta_p-\pi)^2)-0.6\pi)]} </math> where <math>\,\, \sigma[.] </math> is the [http://en.wikipedi ...

...SQuAD was evaluated using two different models: LSTM+Attention and BiDAF [6]. The first model was inspired by most then-present QA systems consisting o '''Visualization:''' Figure 6 shows that the model does not skim when the input seems to be relevant to a ...

...been widely leveraged for addressing domain generalization [3, 4, 5, 7, 8, 6, 9, 10, 11]. Meta-Learning for domain generalization (MLDG) [4] closely fol ...MetaReg[3], significantly. In addition, the best improvement has achieved (6.20%) when the unseen domain is "sketch", which requires more general knowle ...

<math>W \thicksim U(-L, +L),L = max \left \{ \sqrt{6/n_{in}}, L_{min} \right \}, L_{min} = \beta \sigma</math> MNIST: Network is LeNet-5 variant^{[[#References|[6]]]} with 32C5-MP2-64C5-MP2-512FC-10SSE. ...

...other hand, calculates the similarity using the cosine similarity of BERT [6] contextual embeddings. BertScore basically addresses two common pitfalls i ...with the same hardware, the Machine Translation test on BERTScore takes 15.6 secs compared to 5.4 secs for BLEU. The time range is essentially small and ...

4. The use of dropout, which contributed ~1-6% improvement in the LMH code for different tissues, and ~2-7% in the DNI co ...

...ombining the Probabilistic Label Tree [5] method and the Adaptive Softmax [6] to propose APLC. [6] Grave, E., Joulin, A., Cisse, M., J ´ egou, H., et al. Effi- ´ ...

...</math>, is shown in the top row left column. Here, there are 4 nodes with 6 operations defined between them. ...ormance in those more complex architectures. The first large model (Figure 6) is targeted to image classification on the CIFAR-10 dataset and the second ...

[6] Heng-Tze Cheng, Levent Koc, Jeremiah Harmsen, Tal Shaked, Tushar Chandra, ...

6). Repeat 3 -- 5 until converges ...

...ctions of the Wiener integral, we refer the reader to the textbook by Kuo [6]. Intuitively, the stochastic process <math>X_t</math> can be thought as th ...Gaussian Process Regression, Journal of Machine Learning Research, Volume 6, P1939-1959. ...

...mpting to standardize the field of language understanding tasks. SentEval [6] evaluated fixed-size sentence embeddings for tasks. DecaNLP [7] converts t [6] Alexis Conneau and Douwe Kiela. SentEval: An evaluation toolkit for univer ...

...r multiple hypotheses and long-term interactions between multiple agents" [6]. ...precise global position in urban road environment; 5) Micro-Autobox II and 6) a MDPS are used to control and actuate the subject. All data are stored in ...