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It has been widely agreed upon the fact that Nash's concept of equilibrium
reflects the possibility of challenging the choices of the unilateral acts
of the players involved in noncooperative games. Having the aim of gaining
the most they can do, the players are in the situation of making choices in
a process described... | i | 113b6a6cf9d4714457e3b3717d5c6644 |
For the US airport network however, the geographic results are
poor. These poor results may be unexpected at first, but they have a
simple explanation in that the geometry of the airport network is not
really Euclidean, as the geometry of the nearly planar road network,
but hyperbolic. Indeed, efficient paths in the ai... | r | 02d26b5dbce0d3111b63cfab1944e77c |
Additionally, in our experiments, we also select two representatives – Input {{formula:5e6add4c-d339-4150-9ceb-e07fd40bcbab}} Gradient (InputGrad) {{cite:b6c2ac5dedd36863ff3775f7f6811af43962623c}}, {{cite:e528768cffcb0b64344a99e2bf701ac4e96cc6c0}} and Integrated Gradients (IG) {{cite:e11bcd1c435c7eb2abc467e3ccbd89dae2... | m | 78b189e282fda37a49c939300d2fbe73 |
In order to study the patterns of the 1st type rogue waves of the three-component NLS rogue waves under the condition {{formula:332d0d8f-8256-4648-98d6-99bf3de0c64a}} in the inner region with {{formula:067123f3-2e5a-4a57-84d4-1c2bfdd78af8}} ,
we first use similar method as that in {{cite:5b91e1c30b67d0a3917f346bd8729b... | r | 33c454de15f25faff05115c8ac3f8123 |
Hence, the relationship between predictive coding and backpropagation identified in previous work relies critically on the fixed prediction assumption. Formal derivations of predictive coding in terms of approximate variational inference {{cite:adb45c296e2d9434d994fbb36a900c3b4b31fcb9}} does not produce the fixed predi... | d | a1004854f1dbe9848b723840f52d69c2 |
With (REF ) in mind, we estimate the local Lipschitz constants of the integrand as in (REF ). The numerical estimation of the Lipschitz constants of NNs has attracted attention, as they form a way of of estimating the generalizability of a neural network, and have been used in the training process as a way to encourage... | m | aecf66811d545ecb677049588a9d8ef4 |
Query modification, especially query expansion in document retrieval step has been shown to give rise to significant improvements in QA performance. The GAR {{cite:420a3e5deb213b59e530bce96ef93f0e3994bea5}} system uses a sequence to sequence generative transformer model, BART {{cite:b7d8be5a626b651d496b1c7dd092a6e2b032... | m | 09ab8e6b744180f0054d5b7b5227c217 |
since {{formula:65bdd933-d55c-4294-b85f-d5b649f9555c}} is assumed to be positive. This implies that {{formula:09105b10-1352-450c-99a1-d813dbd89c1c}} is a self-adjoint(see Corollary 7.3 of {{cite:054e820d90a5974a98007ac951b4c42cfd9185c5}}) compact operator on the complex Hilbert Space {{formula:3ad311a8-0fbe-42a0-baae... | m | 6456173ff13b975e1ae2ecf75fff7f4f |
To study the dependence of synchronizability on the network structure with higher-order interactions, we focus on the Kuramoto type of coupling function for the coupled oscillator. Then, the master stability equation, Eq. (REF ), belongs to the case of Eq. (15) in {{cite:ad10bbb475f8f1b59bbfbcb887f086645bafa405}}. As n... | r | 89542783d8715732f5a900d98680d940 |
Our open-set and closed-set results are presented in Table REF . We compare the proposed AvaTr V1 and V2 with two state-of-the-art methods, VoiceFilter {{cite:8023773aecdeb3332963094724884c8c546dd86e}} and SoundFilter {{cite:9660e31fe6b6bcf699ddba4761d9cb8dce359e3f}}. Since neither VoiceFilter nor SoundFilter released ... | r | b07c9285b81bdb077b852fca1b81936f |
In Section , we verify these ideas empirically on fully-connected networks for MNIST {{cite:c3fab1c127c9ca6252227375a26465ad7a17740b}}, Fashion-MNIST {{cite:4035135165ab9206f18860687bffd7e3b3601f2b}} and on VGG-16 {{cite:3f5903d6d92c2adc30e6658e6cc4134cfb6d2f19}} for CIFAR-10, CIFAR-100 {{cite:8e76c0a9c4450af1d41aae78a... | r | 0a6dd6ece09c0e2e188c7f34aed99bd5 |
GCN {{cite:15fa17e82970154e2b93ade77a1b2d4d87a22887}}: This is the widely-used spectral GCN model. Since it is not designed for multi-relational graphs, we only pick one type of relation for each graph in the pre-training.
R-GCN {{cite:254a7d2c5b999cf8f5751d79a880bffe9b3cd961}}: Relational GCN enhances the GCN by emp... | m | ae17a1e1a2d626d8b949e25111de1ef9 |
Let {{formula:75cb9992-9a84-4d35-b167-c070da1197fd}} , where, {{formula:77229e71-ca8e-442f-8218-f2d306c73200}} ={{formula:f52ae192-00db-4e55-b2d2-d4ba27cc79b2}} is a random vector of hidden components {{formula:38064f4f-6321-40b7-9f9e-5dd5e144320a}} 's, ({{formula:8c7149ac-21a6-4ba1-b496-8d715c95b583}} = 1, 2, 3, ...... | m | 9c35e7b9f16f7b2ee633620277c7ba0d |
This research was financially supported by JSPS KAKENHI Grant Number JP19K14766.
We would like to thank Editage (www.editage.com) for English language editing.
This work made extensive use of the following tools, NumPy
{{cite:6545e7ddb58a3451ec438c80cb45803fd3397fa5}}, Matplotlib {{cite:4b9a76d4cd56b186668482b77feed508... | d | b8cfa3a8f2230a80b7f81a3c306e5af3 |
where {{formula:d7cb9210-10ed-482e-aef1-c905d63ac566}} is a probability measure in {{formula:d05eae2c-2a9f-4d02-b4ba-38299098a8cd}} , {{formula:751c6503-e3ff-4d1f-a94a-33ee5cb77d8a}} , {{formula:9e8a969e-4a5e-43b1-9a47-bcfca7792ba5}} , stand, respectively, for the
{{formula:29da0c76-5028-4b0d-94da-f23bd96b9ced}} and ... | i | 5c0b7849411d6b1166f22c48e1535072 |
More qualitative results of image retrieval on the CUB-200-2011, Cars-196, and SOP datasets are presented in Fig. REF , REF , and REF , respectively.
We prove the positive effect of the proposed method by showing qualitative results before and after applying the proposed method in the self-transfer setting;
the source ... | r | 1c1def80227ee6a35205dc6319651a86 |
To further investigate the different outcome from each approach, we show in Figure REF the posterior probability density function (p.d.f.) for the BBN observables {{formula:7a0e1289-e553-4e3a-afd7-8663fba0f4ed}} and {{formula:6d8b97cc-f1bb-4ed3-b0f2-768a23a89790}} . We report both the result from the BSM fit varying ... | r | c3db9e4ceaac76ec825bf1356fda9f52 |
Relation to fine-tuning. In SSKT scenarios, fine-tuning and learning from scratch can be applied for target network training. We adopted fine-tuning-based SSKT with a ResNet18 model trained in ImageNet for a multiclass image classification problem using the PASCAL VOC dataset. In addition, using the pretrained 3D-ResNe... | d | 77e05087055c0d4852e4d4eebaa09341 |
To fit the {{formula:3036d98d-f52f-4790-ad79-835fc20c541d}} invariant mass distribution, a smooth incoherent background is exploited to model the contributions from misidentified non-{{formula:3205a910-df66-4a96-8bb6-01e0054089f0}} events, crossed-channel effects and possibly additional broad {{formula:c71fbe57-e3af-... | r | 56b0fc267383fa63d34115faa84dcc2b |
There are several topics that merit further research. The asymptotic properties, such as consistency and asymptotic normality, of our proposed method could be developed. In particular, the asymptotic properties of (REF ) may be studied by using the techniques in {{cite:e3dcdb69869af938293d4ddd31f727527854f98d}}. In the... | d | 6823c5c7dfa75218fc516905f4e530c4 |
The whole attacking process is summarized in Figure REF and Algorithm REF , which can be devided into the following two scenarios:
(1) If we can obtain the clean datasets, the poisoned samples are constructed following previous work {{cite:79f5e853450134a00ca10265585992fb53483bad}}, but only the word embedding weight ... | m | 89eea8280e9cb91edf7afc4356a44cb2 |
In the paper we present two single-task networks dubbed Seg and Reg networks (see Sections REF and REF for more details). Moreover, we investigated multiple multi-task networks, namely JRS-reg, dense, SEDD, and Cross-stitch (see Sections REF , REF , REF , and REF for more details). We compared our proposed methods a... | r | d5a58ddd920c0db13482e08e93586d0d |
For the function theory of slice hyperholomorphic functions the
main books are {{cite:f7a68c63b23eaef35d0735aab5a9398cbaeb0335}}, {{cite:8c693c5a719cac0ac9bb52e6e65315564bc27466}}, {{cite:d2ee362164b3f59d4072c8ce52a2792e35b7f198}}, {{cite:09826f8cd01ea0545b655f99677bd2504d02e59b}}, {{cite:4bcc13cff30540b4fdd2a4214c5066... | i | ec0409724d5eaa7cd3c71081616b0e8b |
The conclusion to be drawn from the above results is that the observational data in the Fermi-LAT 12-Year Catalog on gamma-ray pulsars are consistent with the dependence {{formula:e6bb1740-502b-43ea-a4f3-c413aefdf41c}} of the flux densities {{formula:ec72af23-cce1-4fae-8b3b-44baf4350eb0}} of these pulsars on their di... | d | a935ff7c67a323a2395f902f9f93b448 |
The existence of a sterile neutrino with a mass in the eV range is motivated by the fact that it might provide an explanation to long-standing anomalies in short-baseline (SBL) neutrino oscillation experiments.
These include the anomalous appearance of events measured by the LSND {{cite:c912b1c83afb001fb77dad67872a2711... | i | f4b9ed98ca63d53e25cffaeb41dfe0d1 |
The objective of the ASP is to select the motion primitive (grasp vs. push) to be executed, if applicable, which minimizes the number of required actions to retrieve a TO. This task has a finite discrete action space, which makes a Q-Learning algorithm a simple and effective RL method to deal with it. Thus, we use a de... | m | d857db90a0c0567fbaa89e2f3345d75f |
Although several novel methods are described in this paper, these are only a few of the many potential cyclical techniques that are possible. Curriculum learning can be considered a component of cyclical training and at the time of this writing, there are well over 3,000 citations to Bengio, et al. {{cite:ffa209ffcb5ed... | d | 9a7b7a09cae03abbd585b75f0808f4a6 |
We propose a novel method for DTW-based audio-to-score alignment that uses Siamese neural networks. We additionally employ deep salience representations {{cite:2bfceaabfcd37ab797c71cafe7a3040610e9d70b}} to improve model performance in data-scarce conditions. We describe the method in detail in the subsequent subsection... | m | a3fd7196a4be90d636eb14146f46bce9 |
Lemma 3 (Pages 30 and 37 in {{cite:2c3382d79e000c3f341100e3f9e7d9a5a5d5e7a2}})
Let {{formula:ab210808-a946-4c3b-a391-947b1a640f9a}} be an irrational number.
| r | d9be55b1c87303293d2687a27fc191b9 |
Van der Waals barriers host atomic point defects {{cite:0812d944437482f783968b0b1c8068239e902b24}}, {{cite:6cb2a5c7ff2c99923ee708a0552da06812640cd9}}, {{cite:400f5e546e8e4807a39ae49a168a6a84aaaf3855}}, {{cite:4ff697a2dfc663e2dded307d7b5ee3a1a1ebf96b}}, {{cite:b303c35e2c2d8936ba894de72c6b9c5018f56f83}} associated with ... | i | e79d834fee48417c3aea0b95dcd24aed |
The proposed PIC-DNN model for power flow and injection estimation was applied to the IEEE 118-bus system. This system has 99 loads, 54 generators, 11 high voltage (HV) buses, and 186 branches.
PMUs were assumed to be placed by default on the 11 HV buses such that all the branches coming out of these buses was directly... | r | b903a8b17155ed7c3cf651547942e0a0 |
In Table REF , we exhibit the computational performance comparison for {{formula:a7f359d4-bb99-4318-8165-45f00d80de33}}
with mixed boundary condition. It is clear that adding offline basis can definitely improve the accuracy of the GMsFEM, for example, the relative {{formula:668bdb52-1cbd-4ad8-a213-c5539d31b404}} err... | r | 4ed0289d87030f8fb6f53185fcebf5d3 |
In addition, explaining the model predictions provide interesting insights into the analysis of gait patterns.
The input relevance values highlight that in most cases not a single gait characteristic (specific value or shape of a certain variable at a certain time of the gait cycle) is relevant for the identification o... | d | c22d24d57872f2b30f4cac5a9a153f77 |
The Fast Gradient Sign Method (FGSM) {{cite:850601445941cbdc2b61816a96cc8e2766b12969}} is an early gradient-based method, which is especially fast. The gradient of the loss function {{formula:9af2e52f-7494-48d3-9083-b0309505a447}} is calculated with respect to the input {{formula:8b71dd24-8e17-4bec-9cdd-36d8af65a3d2}}... | m | a276e3fee5129760734e5e990fbb2470 |
After the Gaussian case being solved, a significant amount of work has been done for general non-Gaussian entries. This problem is known as edge universality. The edge universality of the Wigner matrix was first proved in the paper {{cite:6988ac907d6beadcc012a91128be5c30502d85d0}} through combinatorial methods. He assu... | i | 987504f4f18b753718ce4c3378c8e52c |
Although this new proposal has elegant features, it is not immediately evident that the regularisation is successfully implemented in the flow equation, at the detailed level of Feynman diagrams, first at one loop and then also at higher loops. In this paper we put the proposal to the test by constructing explicit expr... | i | 65c17ae3b0661f6894c59aabd0cfa6e0 |
and let {{formula:8c7ff302-274b-498a-83e1-eb2bdcc0b7d3}} or {{formula:fa259834-0d01-4ed3-98d2-70baf000beed}} denote its {{formula:1a14c840-cb76-4b5d-a72c-721eff7e3503}} 'th eigenstate, with eigenvalue {{formula:5683934a-970c-41d7-b779-58b3511c76d4}} . Here {{formula:e15bc39c-a92b-4848-a343-0706d055d29f}} is a real f... | i | 6459677ba2deb0a9859f69b347e60798 |
The defining feature of our phylogenetic inference method is that it
gains power by jointly leveraging expression measurements of a group
of genes, while avoiding a high-dimensional evolutionary model.
Rather than requiring an estimate of the evolutionary rate at each
gene, our strategy estimates the parameters of a di... | d | da18887e2fa187be0b24dc9664dea3a5 |
Given the results in Tables REF and REF , we decided to study in more details the range and {{formula:692c2bd6-8ab1-4a25-abf5-e52538202438}} -score normalisations. We then devised a set of experiments aiming to find out whether there are parameters for the rescaled {{formula:d127dff1-0082-44be-afd8-7857d4b31e45}} -mea... | r | cedce3da695b58d8062754e3a2c1a15c |
for all {{formula:ec8968db-0ee5-48ec-98f5-4250a540be17}} . Combining these two restrictions and writing them in
vector form (cf. {{cite:6dadb5439a35b4bdd7fdb8c6271185ec5ac5ad9e}}, p. 240), the set of clearing
payment vectors is seen to coincide with the set of fixed points of the
mapping {{formula:d2da39f8-b46c-4f8d-be... | r | de3e7f22b5377e081925f0a1e08d93be |
CNN-LSTM {{cite:9876b48cbbba9a7b7d19419695a9a1c95071d9b7}}, which is a prediction-based method built by firstly defining a network comprised of Conv2D and MaxPooling2D layers ordered into a stack of the required depth. The result is then fed into the LSTM and FC layers as prediction.
LSTM-AE {{cite:9bd0529c01efe8836b... | m | f5c6fa6aed5aeb6d4c453d8d4cd7e94b |
The properties of different types of polarons were well studied a long time ago.
A number of review papers (see for example {{cite:390b0191c59f31eb19123283d8bc2990a8c79d89}}, {{cite:70b61c07782c814347960aa98178ef106a44dec4}}, {{cite:f2633a988b360c21858a0237fd5c28565d5bbf2e}}, {{cite:5138645df9e1ff1d28cbbe8a95ab868203ed... | i | 112a01d38421c38035a6ea89580d616e |
Compared to end-to-end ML solutions to PDEs {{cite:be3386a44f4543069268a1ce1e83407077227b92}}, CROM employs the neural network strictly as a spatial representation (see sec:net-inf,sec:net-inv) and solves the PDE using classical PDE-integration numerical methods (see sec:PDE-time-stepping). As such, we believe CROM wil... | d | 683d6c033437bd6dd0520b19749f7c1f |
This ensures the vanishing of both surface magnetic charges ({{formula:95967285-3596-4002-8c97-72740a214235}} ) and volume magnetic charges ({{formula:5b7bb6aa-f1dc-453c-86a7-969920af04ed}} ). Here {{formula:c24ce302-19e1-4378-8671-e066312899cf}} is the wavenumber of the modulation ({{formula:0f8948dc-ff54-41e6-89cc-c... | r | 0e3a882bddcf0429b218d3c244a329d2 |
Accuracy indicates how accurate the model has performed. The average classification accuracy achieved by the proposed model was 98.24%. The novel 1D-CNN+LSTM model implemented in this study exhibited a high-performance accuracy for the classification of different arrhythmia types. Its implementation is straightforward ... | r | 64f962664351a8afb8b2218a2dd96ee5 |
One of the biggest application areas of inverse statistical mechanics is the modeling of biological processes.
These applications are fuelled by the large amount of available data resulting from the impressive progress in experimental techniques in biology.
This is especially visible in the case of biological sequences... | i | 92e4e8e32d2a9165dcd5a4ec232b7dc8 |
Abusive language detection is a relatively new field of research, with “very limited” work from as recently as 2016 {{cite:6383a0cc901f265472c58506855ba14b3e490c67}}. Early methods featured Naive Bayes {{cite:17361459b1c6acc71b0cde03593c246aa9fa7187}}, SVMs {{cite:764dbd250a401206f7097569fefeae76230af6cf}}, Random Fore... | m | f851f21464a2ffea47545d7213a0c2f0 |
To dive deeper into the probability density function of the largest eigenvalue, denoted as {{formula:54818697-e410-49f4-abed-5156fb717408}} , let us take, for sake of discussion, the values of {{formula:e144138d-7951-4661-a382-24e368aaf536}} and {{formula:10f2a5e3-4708-494e-a630-40fc7731bbc9}} , and investigate how th... | r | 4db8e4174c30cdd37bc5c6f3e6595c8c |
Comparison to other contrastive learning methods.
We compare the CrossCLR loss with popular contrastive losses: MaxMargin {{cite:43118da06a1d22175501c2dffaf313bb0e96602d}}, {{cite:07d5e5da65810d7e42a0f4c9f71f486226393430}}, {{cite:38ff5e6fec35527351d782c0039a92b29ac22eba}}, {{cite:08c05e270eb5b70f39585eb782a06c37cc25b2... | r | 3da233d2f1cdfafc725d2c877ae0f092 |
In Figure REF , we show some visualized results compared with OSVOS {{cite:21bc28716f6d2cf10825a5527626bb973577910e}} and PML {{cite:a5327ec35d484641fc81470814f892c3fe40a46d}}. For the breakdance, scooter-black and dance-jump sequences, which contain fast moving and abrupt rotation, OSVOS {{cite:21bc28716f6d2cf10825a55... | r | 1821902622f7c2b3149dc823140df5df |
{{cite:4049e07d11b8413b9f3fe220a09e0239f26f375e}} proposes another gradient-based attribution method, SmoothGrad, to identify pixels that strongly influence the final decisions of image classifiers. By adding noise to the original image, we get a set of similar images. Then by averaging the gradients for each image to ... | m | 70850074cb31693bc106301b5fca6776 |
These methods use a spatial encoder to process the raw trajectory data, and then use recurrent neural networks to estimate the future trajectories. To extract the spatial context from the trajectories, {{cite:460c29bbf27f4e98e202149790a919a15e9e794d}}, {{cite:bd8ba4fb283193adf3f0e74d1aa35261a9be30ca}} and {{cite:782f9d... | m | 478b70b25c05524f55d51b05ce5b26ba |
Quantum mechanical models of electron transfer have proven extremely successful in describing key features of electronic transitions in systems such as biomolecules and solar cells. One of the simplest models that has been effective in such applications is the spin-boson model, where a two-state system (representing tw... | i | 2ddded47360bfaf8eb89bbfde2dd3de4 |
We have also studied steady state properties of the driven system,
starting from a domain wall initial state, by computing transport
properties, auto-correlation function and the number entropy. We
find all of these quantities reflect a change from localized to
delocalized regime as a function of drive frequency. Howev... | d | b1fcd4ff64ad316b2ad1493229bf736b |
We compare our proposed framework with several baselines. The first one is a Relevance-aware Ranking (RR) algorithm {{cite:cdb3ad222a774539d8f811efaba9f9037ff1e716}}, which jointly considers the user-item preference scores and item-item similarity scores for ranking. As we implement the diversity scoring function follo... | m | ae4d1fa4b6c8bb1c1f6477ad8b6157d5 |
The method proposed in this work comprises of the following three stages:
(i) pre-processing stage: the HSI data set is reconstructed by NSW and then projected linearly to a lower-dimensional space by PCA. The step effectively use spatial information and reduce the Gaussian white noise in HSIs {{cite:0ee46d658da809eaaa... | m | 2c6d9db29ebd2ee5f79c7d97aa6075d6 |
pocoMC implements the Preconditioned Monte Carlo (PMC) algorithm. PMC combines the popular Sequential Monte Carlo (SMC) {{cite:087fdbd436370d10d5073235747ea6534bd0ee5e}} method with a Normalising Flow (NF) {{cite:d79cd6bd5cf5fdb05e10a328ce2336923c49facf}}. The latter works as a preconditioner for the target distributio... | m | bfb35b976c48a77769fd625fcb66dcd3 |
Classical general relativity gives the concept of a black hole from which nothing can escape. In 1974 Hawking {{cite:8c73ec85d556d9bdfd415aa94961b149b3e06035}} startled the physics community by proving that black holes are not black; they radiate energy continuously. Later on in 1975, he {{cite:cb1818f905a1f2dbfd8090db... | i | f9e84983cf8d537e1d1469e2d01cd21f |
The focus of this work has been the attempt to develop a general method that can approximate the stochastic dynamics on a wide range of graphs by adapting methods from statistical physics and epidemiology. In doing this, we have provided a derivation of existing (homogenised) pair-approximation models from the master e... | d | 1954de30cc010123db1abd28dc0e1222 |
Another interesting issue to be considered is the 5d uplift. While {{formula:2206c35f-b5a0-489d-8436-01a52b1a4492}} , {{formula:fd3c9895-360c-4f64-a748-a17a365c0726}} gauge theories correspond to the non-relativistic integrable systems realized on the Seiberg-Witten geometry, the {{formula:fbf1cecc-b6ae-4788-a059-5c16... | d | 1e54a2c8a606199efe7ebcfe29c47fd7 |
The early-time scaling {{formula:789351be-1bb0-4a1a-8335-292968a3a853}} of momentum anisotropies in transport calculations was already observed in special cases before:
in numerical simulations with a given initial phase distribution in Ref. {{cite:c76145a49cab19edacca38221712b2bff224fe9e}}, and in analytical calculat... | d | 92669b209ed59eb3aeeeb120d11f341a |
The scenario presented here has many interesting cosmological consequences. It places strict constraints on scalar fields in our inflationary model: even supermassive scalar fields may easily be overproduced during preheating. Our scenario is also an example of a model where supermassive DM can be produced simultaneous... | d | 8a58f76e39299d68f3ec4cb2f20c7226 |
We employ a relatively simple neural network tagger for all of the tagging tasks in this study.
The tagger used is a bi-directional Long Short-Term Memory model (Bi-LSTM, {{cite:5ffdee4a9db4efcfc696ca9f3c7c46bef7c98d25}}, {{cite:3d418f0002d37de99237d2b4424f93c4cdddba68}}).
We use a single hidden layer for each directio... | m | 7e391f1cf0bbb3b6939ef1e6556a10dd |
where the regularization function {{formula:be339b1a-836a-471b-a447-60e4d27f5ba9}} steers the solution towards a preferred sparse structure, and the regularization parameter {{formula:da34b9a5-d033-4417-9d6f-2e0b53aa1f19}} is to balance the trade-off between the data fitting cost and the regularization function for ... | m | 4db5146c3222defb647500415c74b4bc |
where for a measure {{formula:3da8f74c-228d-4db5-8716-5e32651178ba}} the slice {{formula:31bfa0c0-659d-4d24-837a-a3f7a1116252}} is defined by the relation {{formula:c9c654aa-9fa7-4c35-bf9d-ebb3f670aac8}}
and for a measure {{formula:ab3c6033-4d98-4eb3-b53b-3a3f3f17d080}} the slice {{formula:233773cc-4f66-400b-b55f-... | r | a5f9c7ae845b6a09032cb607646c1be9 |
As Figure REF shows, given an arbitrary number of image and (or) text queries, our goal is to retrieve the images that contain all the semantic concepts specified in the queries. Inspired by the recent advances in compositional learning for visual recognition {{cite:a012c7324f47ceeb73807847a07d0b11b4ef86f0}}, {{cite:f... | i | 6f40b0395cdfb3331900e0e74b4c5f53 |
Results show that both HQI with and without state abstraction consistently outperforms the FQI when there is limited training data. When the dataset is large enough, they all converge to the same optimal performance, which is around {{formula:d6fc2629-2cbc-4639-80a1-217bb9d78418}} . We also notice that, occasionally, H... | r | 1db25e9d5f60455713d5a0db1fae4431 |
Seidel and Thomas {{cite:39f07df6c18faae567c7a1ff29db9164380112d9}} define autoequivalences {{formula:14bf4395-7cef-4f96-98ec-65e6700e725b}} associated to spherical objects called spherical twists, we denote by {{formula:9222f6a8-8e94-4b61-98b2-79c2fd0b2dbc}} the subgroup of {{formula:014c25fa-d493-4060-8956-9b1aea71... | r | f1fd45152b19d4d7eee8d27b103f3e78 |
When {{formula:d83b9b2f-6be7-426c-9a55-f6a791154088}} , {{cite:c22dc34ac70c06e8e0992df6b025c1c5d3325a23}} show that the LSD of {{formula:1ca6f546-a089-47a4-934f-458ba25ce6d8}} is the standard Marc̆enko-Pastur law which has the density function
{{formula:5f156bdf-1707-4e86-8cff-03e395187525}}
| d | 06eca2f5f2395ae3dd51215c19b23d60 |
The exponential growth of mobile devices and mobile services provides a huge amount of data for AI-based mobile applications, e.g., healthcare and e-commerce services.
However, effectively constructing a global model from a large amount of mobile users' data faces critical challenges.
First, due to the privacy concern,... | i | 8fe31d43c04b0d62f4d7bd6f6f089b4b |
The long-form video understanding benchmark (LVU) {{cite:80391a32cd1810aba6410c408d82d18e69c43b9a}} is constructed using the publicly available MovieClip dataset {{cite:1346121cb9e5edb83d0a554d568a433912d11caa}}, which contains {{formula:93f6126c-e41d-4730-9f4e-256e59b6a82b}} 30K videos from {{formula:0da8c650-f8e0-4aa... | r | 39001ca772e7ec60ccf1fff9e8bfc451 |
In {{cite:3f54b7b407ac7e4f13e9e05f09d9e8aa9622ad30}} we have outlined the basic theory of synchronizing dynamical systems (or henceforth just “synchronizing systems”). The theory of synchronizing systems is fundamentally based on techniques established in the study of Smale spaces. Smale spaces are dynamical systems wh... | i | 672a0e704c86b491a7d4256567c699cc |
While these theoretical predictions were confirmed via the Monte Carlo {{cite:43a8107f49f630d91cba3dbf4eab525549e68875}} simulations
of the Ising model, for moderately high values of {{formula:249aea6d-76ea-4dc7-adc2-9508d1ebb543}} ,
striking deviations were reported for {{formula:01782e0f-7936-4cae-bae6-d34e0f6647ad}}... | i | 1708b0a2ab31b6e37c27b23e1070f1d6 |
The physics related to the Higgs boson has become the frontier of the high energy physics since its discovery a decade ago {{cite:56eff8fa2d3e4a2e32052f0e6bd1bcc070de3d57}}, {{cite:b913cd4c42c43eeb4f7d4d97a48407a0994e3cc7}}. In the Standard Model (SM) of particle physics, the Higgs boson is known as the direct evidence... | i | cfceaa3cdcac6762f2ab43d9c1d0bcd0 |
We focused on analyzing the effectiveness of our method from two perspectives, final model performance and ability of the method to efficiently trade a computational budget for improved performance. We compare IGF directly to standard finetuning, which we define as basic batched stochastic gradient descent with Adam {{... | r | 0b042fc8a72cacf6ab519cf5b75290eb |
Applying reinforcement learning (RL) to applications with unknown safety constraints is challenging as RL is inherently an exploratory process and requires agents to learn the whole environment first.
Though there has been a surge of attempts to incorporate safety in RL {{cite:d1fe5510ae8f880824f126d8296fb81e81edf80b}}... | i | 87f2cd61485484fef17af81752fc5224 |
A current mainstream data structuring method includes two steps as shown in Part A of REF : 1) uniform subsampling such as Farthest Point Sampling (FPS) {{cite:930608b0e8a30304d0c9c63fa9284e1a27a1079f}}, 2) local grouping such as ball query, kNN or cube query. The subsampling step obtains a subset of points in the poi... | i | cc900182330b77b44a327477695c8616 |
{{cite:1d45177ce477e7912a388f6ceada1d96b5fb8604}} has provided an important extension based on the partial linear model.
It is of great interest to extend them to accommodate general nonlinear models based on nonparametric {{formula:7857198f-e3ef-4e8b-9157-7a7a436d9f9b}} . {{cite:c0863d0e90083b672e80c7b721728b442e69285... | d | 143ae0eda0f8fe377e9fb021b6d15f0f |
In Fig. REF , we present some of the previous physical observables taking into account only the 1.47 k BPs that are in agreement with the above mentioned experimental bounds {{cite:3c5dbe17c98b727bc103b15fced9d58bdc18e9f9}}, {{cite:b8be1362ed6c9a3cd1e6d94b622b0d02fca26643}}, {{cite:1498e7605c4f8d98d6870ef7c4b7846fd0a7f... | d | 354393a911ffa21bdb291701ab800b9d |
Subsequently, we may decide to make an arbitrary unitary transformation to any other basis of Hilbert space .We may interpret the evolution operator exactly as dictated by Copenhagen. In general, the transformed evolution operator seems to handle probabilities and uncertainties in the usual quantum mechanical way, but ... | d | 9b1e7b8b3d3ebff6cbecbea088ae80ed |
Input Sentence: Each raw sentence from the dataset is presented to the proposed model one by one for further processing. Before that each sentence goes through some pre-processing steps: all urls and codes are removed.
Tokenization: Each processed sentence is tokenized using the BERT Tokenizer. Each tokenized sentenc... | m | ffd11ed63207894d902f5c51be3ac8bd |
In this section, we present the numerical results for the invariant mass distribution of {{formula:577a1e59-feb4-4c5c-afef-dd165c86ac65}} and {{formula:566e5d7b-0a6c-405b-9032-d2149281ec08}} of the {{formula:206bd0ae-b267-4652-aa24-65ec758a5352}} decay. To compare the theoretical invariant mass distributions with th... | r | 7842c5a0fea460acc0445e365a26507e |
where {{formula:beb3b0a6-a4ff-4612-9304-a486446bc531}} is a kernel parameterized by {{formula:f311f7ae-1a2c-4149-99cb-d6182c9bbd8e}} , and {{formula:f8ed8a38-ae00-4e36-abfc-70a1062c2bb5}} is a random probability measure with a Dirichlet process prior. See Chapter 5 of {{cite:56b3f18e7900d0e51dc0100f5ba4c2969e421170}}... | d | 447cb9fb84f4853a9fd2d12caa15be0c |
Redshifts of celestial objects have been a vital component in the field of astronomy and we use them to measure various attributes such as the rotation of the galaxy and the distance from us. Traditionally, they have been measured by spectroscopy. While spectroscopy is effective in determining redshifts of galaxies, it... | m | 180c76cdc2767e6e0e11eff3b5f97248 |
Following the other works {{cite:c2414039b7b2471934077f1d32293814da2bec1d}}, {{cite:accc97068cb592104b66dd066c6f65ed049f08e2}}, {{cite:3d12866c9f7c2d95752241102432ca69d492b0ef}}, we demonstrate that our model can handle complex images with a large number of classes.
We further evaluate our model on the COCO-Stuff 10K d... | r | 637d7b0158a0cad4661fddba153df3d0 |
Trackformer {{cite:66692ebafba26cfab5e08dac7db78d8b0dd01da3}} is most similar in spirit to our MQT method. Their detection queries are analogous to our static det queries, and their tracking queries are analogous to our both queries. In the ablation studies (Tbl 5 (a); Tbl 3 in supp. material) we show the effectiveness... | m | 40324eca7269ebcfc6f1b9e08ae22466 |
Among the model agnostic global FI methods, the Permutation FI (PFI) {{cite:bcf071409468fd32a13f91dd46a429cba4bb4140}} is perhaps the most common approach. Its rationale is as follow. By randomly permuting the {{formula:ed3037fe-4a87-4ccb-ac3a-a0b4b787332c}} feature, its original association with the response variable... | m | 2399d55c969567b3e371e39db88c8c54 |
With much higher statistics, the STAR collaboration has not only repeated measurements at 200GeV {{cite:91d1ec358d9502af004b8acb2de09e7e4a84acaa}}
but also started a systematic study on fine structures of GPE such as dependences on the centrality, the transverse momentum,
the rapidity and also for different hyperons {{... | r | 8686ed172625c424d0aabd7a4d5ff26c |
Some methods try to generate the formal query to produce the answer directly using neural networks. In {{cite:4ad8e1ae73db1d4a4f9e154de011c8f8285a88b2}}, a recurrent neural network model directly predicts the head and relation entity for simple questions. Using the head and relation entitites, the answer entity can be ... | m | f2a1d3634595eff0aa968907156c50d9 |
Note that our problem is fundamentally different from the conventional bandwidth allocation and delay assignment problems reported in the literature of computer networking {{cite:1839b48ad3e172c89312d40f52b31cd0e58e3c70}}, {{cite:980cbb8e71e840e2424e13507c3e87b9bfb2a377}}. The utility functions in these papers are stat... | i | 3d49feed50a5bcd88d5ca8bb74c9aad8 |
With the ever increasing size and complexity of datasets and applications, there will always be a demand for more reliable and efficient defense methods that are scalable. So far the trend is that many defense methods were shown to have excellent empirical properties at the time of their creation, but then very often t... | m | e4ab9aef502ef5ccfb15a113c0377078 |
We also compare our results with state-of-the-art embedding approaches such as BIER {{cite:5b0e9ff3107db74a2bd4b189c0e1106280bcf80b}},ABE {{cite:e77b5cfa49078f0340c32b5a7daf20c28cd8e8a6}},FaseAP {{cite:7d0b6e3e837e46f973de2bb2a3f1791da003c654}} Multi-Similarity {{cite:34ec892a16beb3ae2eee01ca58de91f222da9902}} and Easy... | r | ff64a1d49348a03ae5ed514df737e110 |
Theorem 12.4 {{cite:220a1f67c5f6b06ad1e6297df733afeb5bd118c9}}, {{cite:35ed07377e2fe5e70e99f1523665ea9a2e39c6a4}}, {{cite:4197c1a915cbc563799944e6b64447d2a9486bcf}}
Let (REF ) be irreducible and co-operative in some set {{formula:95395a67-b8ab-4141-92f9-1fa3396c004d}} . Then the solution {{formula:74c7452e-cb7a-421a-94... | r | 9bcbff4ff57d4900b2290c01b17e0b65 |
Self-supervision-based pretraining methods take more time than the supervised AT method since self-supervised pretraining approaches typically require more epochs than fully supervised methods to converge.
In the self-supervision-based pretraining approaches, AP-DPE{{cite:d04d77de09722545966da60dfd3a37c099ebddc8}} ta... | m | 4469b32d96656bc86631c1edd5d13449 |
blackTo investigate the effectiveness of the proposed LBS on the lightweight models, we apply our methods to MobileNetV3 on CIFAR-100. Following LSQ+ {{cite:af938ca390c51eca07dc661001770974ef60e8eb}}, we introduce a learnable offset to handle the negative activations in hard-swish. We show the results in Table REF . Fr... | r | b6d9681e5565a75d269326bf8e80f261 |
Some seemingly obvious solutions are not always effective. For example, buying the most accurate data from all users may exceed the payoff for making the correct open/cancel decision, resulting in a negative profit. Alternatively, spending a fixed, prespecified amount on purchasing raises the issue of predetermining th... | i | 46d150b22dfbcbd6493242101e86c571 |
Matching evaluation. We compared our network with the Predator network {{cite:6e062908dac9ff7e3586bd144444cf807b498163}}, the closest method to our proposed framework. To adapt the network to deformable scenes, we used ground truth matches to supervise its loss functions instead of the ground truth rigid transformation... | r | 0ee92e32fba1ee16825c32ce2c7ee7c7 |
Inspired by the success of gradient-guided attack methods (, FGSM {{cite:e75c62d0e6884e5f4d4125f19f4bedfc1f0e83bd}}) on natural images, we first generate the adversarial point clouds by pointwise gradient guided perturbation. Given attack budget {{formula:e499168d-165e-4629-96a8-17973be64dc9}} under the Chamfer distan... | m | 6b5039d1d98a03019d01716c5a1fffb0 |
This result is completely consistent with the 2020 White Paper
estimate of {{formula:94352749-bede-4232-987c-1f61d9725cd8}} {{cite:3f1d03c2eda8fa4d9c24b02584cfa136ad2e6396}}, and has half its uncertainty.
| r | 19b7801f0ddb0109c12a801caf543fe0 |
We applied RSA to study the ability of different neural network models – multi- or uni-modal – to explain the fMRI activity patterns in various brain regions. Based on recent findings {{cite:9751ddf5e641f386e9ec4a7d6add56c2927be2e7}}, our hypothesis was that CLIP (and similar multimodal networks) would be specifically ... | d | 78ac08e8db2177918827aa1188471a29 |
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