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where both {{formula:3980d790-eb53-4915-982f-09c58f7e33d3}} and {{formula:b8ef2380-edee-47e5-a26d-15db45e4b70e}} are assumed to be (nonsmooth) weakly convex functions and {{formula:5b154d21-e2b8-4cd5-a7e8-1388595f9820}} is lower bounded, i.e., {{formula:8ca900c4-e25b-4210-a704-d2ecc53a8687}} for all {{formula:42d00... | m | fa4b9ad5764143ae7bec066658e0f5c7 |
Next, we compare these methods in terms of their performance in foreground regions which mostly correspond to moving objects. We use an off-the-shelf semantic segmentation model {{cite:fdeaa8d6e6f21909c7aa680431eaaf15d7aa46c3}}, and consider the following classes as the foreground: “person, rider, car, truck, bus, trai... | r | b8668057d7ce8723abe73fbc0bc1efbf |
Joint learning methods try to learn joint representations based on the relations among different modalities {{cite:727a97ec224ced6155508b54094952ef279bf973}}, {{cite:56da00df38c7e2a3a0afee60b6138a8fd71ffb30}}, {{cite:636a03f2433cd09248520d49b1d54946baad3ac6}}. Based on the idea that the cycle consistency loss can retai... | m | ac0787632827a2cb460bf82cb6a43b13 |
Note that the definitions of {{formula:ad51d96a-0084-48a2-9d0c-96408555800e}} and {{formula:fb14c8b4-43ce-405f-8316-7981f777ce3d}} above
are different from other {{formula:f8126412-6160-4612-8966-6c664b981c32}} (in fact, {{formula:6f71764a-cf0f-4e53-b95f-dc5b37adffd0}} for {{formula:e1d0f1f4-b44e-4dca-aa28-59783ac1... | m | 7abafe096306a9044e21501e61057f06 |
It is clear that, in order to optimize all detectors simultaneously while exploring the situation for a network of up to 5 detectors, the method adopted by {{cite:48ba1e9d6935c63ffe56e9906e794448acd11329}} would not be appropriate.
In {{cite:48ba1e9d6935c63ffe56e9906e794448acd11329}}, the geographical regions that are ... | m | 82107069cae9e17b57400fb53b5b2b11 |
Appendix B contains an overview of the flavors of test data we observed.
We found evidence to support the claim that evaluations of NLP models have “historically involved reporting the performance (generally meaning the accuracy) of the model on a specific held-out [i.e., I.I.D.] test set” {{cite:affe8186a8b2d6226eb395... | r | 1e6c228e471d1f4db4cc7aba6ee74e92 |
Another corollary of the strong inductive bias in DNNs is that generalization performance should be poor on data that deviates from this inductive bias. Indeed, since the DNNs are biased towards simple functions, they generalize badly, for example, for complex data, see e.g. {{cite:1b607a3d2c46ccc969fae091c932b59588a08... | d | cd4a4235ec3bf126bb68a990edd55151 |
The dimensionality of the shared space plays an important role when performing domain-shift adaptation. While Figures REF (a) and REF (b) show the performance obtained in a shared space of dimension 5, Figures REF
and REF
in Appendix
show the performance when the dimension of the shared space is the number of positi... | d | 93448c3db0207480d6ee75b14ecc06ce |
Note that the problem of universal discretization for the collection {{formula:eb69685c-d775-48c9-823d-7e5e75b7eb2d}} is
the sampling discretization problem for the set {{formula:b5e8b385-d440-49f5-ad88-fdeca3570d8e}} . Also, we point out that the concept of universality is well known in approximation theory. For inst... | i | b3d4dfd77867b79a5c8dd531eabdde14 |
We compare against the state-of-the-art, perform ablation studies, and provide qualitative results (Fig. REF ) using the KITTI dataset {{cite:690170db4eec40cb52df58fea2e0fa8280c389e3}}. The KITTI dataset contains 7481 training images and 7518 test images, and categorizes objects in three categories: Easy, Moderate, and... | r | 7f68189616ad78be520f4daec00ce924 |
Some recent works open perspectives to overcome the difficulties with
discretization of nonlinear integral equations.
Significant progress has been made on the construction of methods based on
a branching diffusion process.
As the nonlinearities to be treated in numerical discretizations
of PDEs in Finance are mostly L... | m | 5fdbbb2e9924d0aa1ffd5bb4f8393cfc |
In this study, we use the data collected from the ADNI database {{cite:5a188d2277886d2ffe42dfe7e47cdc4017d9beb2}}.
The views we consider include MRI volumes (90 features),
CSF biomarkers (3 features), selected SNPs (924 features) {{cite:b3a539b26ae52e72254e8c149b9032538819ef10}},
demographics (7 features). The resultin... | r | a91e9de2420b8d2034f57088d6b4fc0b |
i) We note that the main contribution of Theorem is to establish the existence of a fixed-point. Indeed, for any {{formula:12488261-a189-4923-a4d5-fe0ce27b0cbe}} , in Lemma , we define the function {{formula:d7d87a79-1376-4b4a-9434-454db0de47a4}} and {{formula:ed70f270-4379-4027-a7c4-b134d1f7a028}} . Using these func... | r | 46147befe7130e766ae42caab00943c1 |
In recent years there has been an increasing focus on using blockchain in the engineering of software systems {{cite:2094ccd371b198a0196297319848bcc4ce761b3a}}, {{cite:7cf280d6e1f9d0fe681f87150bfdfef7d81cc20b}}. Compared to traditional software, smart contracts development presents unique challenges due to the underlyi... | i | 55a1095826cb9cdd80849122cef68c92 |
Since both Levin et al.{{cite:45e52725c28da4091eeac09afc70ae37574cbcb2}} and Sun et al. {{cite:205dffa1a5740534369c3529d0c66031a186b467}} consist of gray scale images, to evaluate the performance on coloured images, we generate a test set using 100 test images from {{cite:21dd8df78e9049d991ecc9a7f6cccb51b02c0dfa}} usin... | r | 1e85759f88c3dda638592813b4c6a07e |
Previous studies {{cite:9b5bb3faaef43e180d56b37ea58543e202e7c10a}}, {{cite:7e289b54f671092e29db8ba3659d848becad3e14}}, {{cite:6b28c518d60171d91fe2d6a29c6026acfe8b7dfd}} have verified that different pooling methods might lead to very different results, and different models may prefer different types of pooling methods. ... | m | a8050b1f5068fdfc26719e254eed406d |
Numerous half-metallic ferromagnets have been predicted and verified experimentally since NiMnSn was predicted in1983 by De Groot et al. {{cite:1a118d392d4694d48833a96ab554b0ab4b8e4a7d}}. Ferromagnetic materials display diverse electronic properties in the spin up and down bands, with metallic properties in one spin ba... | i | a28efce989f61416bf861c59c430f230 |
To further validate the efficiency of GSC, we also evaluated our framework without using the ground truth labels as an input. For this setting, we restrict the comparison of the proposed methods to {{formula:ea2f271f-26e9-46ab-99d8-aed0abdd4736}} . Since our framework constructs a list of graph partitions, we use the C... | r | a77f90aa6148dda69380d43bd03fe086 |
We will first briefly summarize SpRAy from {{cite:9ec631f188947385409b965dfeaed11fcb0834e6}} (see Figure REF for a procedural overview),
emphasizing and motivating where and how we go beyond {{cite:9ec631f188947385409b965dfeaed11fcb0834e6}}. An algorithmic summary of the technique can be found in Algorithm REF .
| m | 996423ab9f56ec58e4401cee690bf663 |
Logistic regression {{cite:61b2611923fda00c18acc39d290d55ff28892b66}}, {{cite:dcb9cefbb2aa91515ffa5b2a997a4ebfeadd693f}}, {{cite:3a221f8792b1819f674bc3e0ea79256f2473139e}} is one of
the most commonly used tools for binary classification. Although the
logistic function has been known since the early 19th century, the
lo... | i | 004cd58383b7a666f14d4d4b9f31bd60 |
Compared with unsupervised domain adaptation.
To evidence the effectiveness of our method on unsupervised vehicle Re-ID, we further evaluate our method in the domain adaption fashion.
Following the protocol in {{cite:362bd40b765a33e58526e12b96f5224398e290c0}}, we use VehicleID {{cite:9b49158a419c4deeb3db69166e0a60e0b1d... | m | 9f7b98b51da6d9a93dfb773526c36b87 |
Lemma 16 (Hoeffding inequality {{cite:3d8526122ecdf407118a0e7752d22a47755d37f7}})
Let {{formula:e1a5667e-9c73-416a-b7ad-33b882d7b51c}} be independent random variables such that {{formula:3c86d2c1-2e2c-4000-9492-df8ad9d1f204}} with probability 1 for all {{formula:ce099cad-13f0-4be0-be9e-821733877346}} . Let {{formula... | r | baf8f12df108745b996f51ddca62f087 |
With the introduction of the focal loss, an effective approach to mitigating the issues of long-tailed distribution, the performances of Retinanet {{cite:f3eeef6780af4d10c02024b6aeff52d33e602a90}} and GFL {{cite:de8e6d451af3fbaa08cdab49f11905cb06dbac27}} show significant improvement compared to other two-stage algorith... | r | 4ae24fe88084d2cb98765ca79e07b1de |
Lastly, note also that while unitary is a common description of a matrix, we use the term in the following theorem to refer to a unit scalar {{formula:e3028c4d-c8ae-4dd7-9ab6-5f51c84e1804}} with the special property that {{formula:302612d0-32a8-4fd8-bccd-652fc7924a8a}} ; later we will use {{formula:0f0d6bf4-986e-4cea-... | i | d6bd19745514a12cfc21d672abe0ed51 |
We have reported the results of the Office-31 dataset based on AlexNet in Table REF . Our method TDMDA has outperformed all of the mentioned methods by a significant margin of 4.35{{formula:85608d2a-81cd-4095-a34b-a5175ddc0bc0}} . Entro {{cite:9849ba13bb3e920950f91fd9ec99af752d2a0a1d}} proposed to match the predictive ... | r | 3a7eb582fbecc5f0b5dd07f2d0d60c44 |
Data Collection.
We detail the procedures to build Spoken-CoQA as follows. First, we select the conversational question-answering dataset CoQA {{cite:a44275b2a5f8054c6c81b589f7568cf375eed525}}Considering that the test set of CoQA {{cite:a44275b2a5f8054c6c81b589f7568cf375eed525}} idoes not publicly availablesh the te... | r | bf7748738fe1f384c79e8b24272522bb |
As shown in tab:resultoflinemod,tab:resultofocclusionlinemod, RePOSE achieves the state of the art ADD(-S) scores on the Occlusion LineMOD dataset. In comparison to PVNet {{cite:867f9c5355723dc8f25f39636fd723c4c12deeb7}}, RePOSE successfully refines the initial pose estimate in all the object categories, achieving an i... | r | ee0117b7de3cba9dd1df9a935fb00ee6 |
For our experiments we have adopted a self/coordinated segregating multi-modular multi-layer co-attention model consisting of self-attention and guided-attention for generating the fine-grained features space for VQA. This is based on the scaled dot-product attention based work {{cite:480e36c6d3e4aa83386a2557c6d5f3f9ad... | d | 20045fcef0cf3fd7df9578a9c19f98cd |
The initial motivation to introduce disorder in the original Sachdev-Ye model {{cite:84339dac42140b2b192d6e4f52e9cfc7ebd15a35}}, {{cite:ae002d9d2a7e7564ddd1d6a16ae76da9238faaef}}, {{cite:a8b2e7f06757e8cd25f8c58aff6fdef9f658465b}}
was to simulate zero-temperature quantum phase transition between the quantum disordered s... | d | d62cea2e2606b676e8bbba8072c2fdc6 |
In order to benchmark the proposed methods, we apply them to a set of medical image classification tasks; datasets from MedMNIST were used. This is a collection of 12 pre-processed open medical image datasets {{cite:20b0074da92960defa6b2a5eb682808788c8eb1c}}. The collection has been standardized for classification task... | r | 26e5067ac4bb8b6fc1700af6447815b4 |
The outbreak of COVID-19 epidemic has resulted in over millions of confirmed and death cases, evoking fear locally and internationally. It has a huge impact on global economy as well as everyone's daily life. Numerous mathematical models are being produced to forecast the spread of COVID-19 in the US and worldwide {{ci... | i | 6c93aff2ec6228490ff4b6ebb30b3fa6 |
Possible mechanisms behind the QPOs in AGN have been widely discussed
(see, e.g., {{cite:e4159dec4a78bc30281055ce8623c4e0248cdfc2}}, {{cite:7ca0fcc45e68966ad484ad991db2b000728e9a53}} and references therein).
Since QPOs in stellar-mass black-hole
binary systems have been well studied, and in most cases they were interpr... | d | 9f41d61312347d5ccd37736d5a67acc0 |
We compute the parameters {{formula:fac740f7-f9f1-4994-8bc4-3f0ce11b1d35}} for the {{formula:9909d976-2b98-452a-b55a-643f6a642919}} -bi-fractal
and {{formula:13f126cf-f141-459c-82b2-54d7d11ff510}} for the {{formula:faf3d67e-1c4b-41d0-a285-8a9cffc81f92}} Cantor nest. For ten different
values of {{formula:5b80a44a-ada... | r | 030a49193d19f2331c23e27177626803 |
Moreover, inspired by the successful applications of deep generative models in many fields {{cite:94fb0c6c2bf3f51f795130746cf506421a161d5b}}, recently, a new perspective of CS has emerged, for which the sparsity assumption is replaced by a generative model assumption. That is, rather than being sparse, the signal is in... | i | de17e9994a936d3722b77c9c84b83919 |
Further reasons to understand why results based on the AIT coding theorem should work in real-world applications can be found in information theory, research developed largely independently of Levin's work. The fundamental connection between probability and data compression has also been studied by Cover {{cite:f5c7835... | d | a6c69269f33310fb916fc42e1ae156fe |
Given the multi-modal nature of the proposed method, we compare the performance of our model to the following state-of-the-art approaches: Deep Stochastic IOC RNN Encoder-decoder framework (DESIRE) {{cite:f481042a1732353b2a9b889e16f880c02464d0be}}, Multi-Agent Tensor Fusion (MATF) {{cite:7e334b8e5a863c2275a9c7ff5417db8... | m | f3b53cb0ec698d5292c5b011a566eb0b |
Forgetting the parity: We mentioned in Section the simple fact that a shortest {{formula:2b911b0b-1e51-487d-b6f3-3fae7b515ad1}} -path in a conservative graph can be determined by finding an inclusionwise minimal shortest {{formula:d5a513b2-1402-489a-8506-67f1387bb9b1}} -join, which is in fact equivalent to the minimum... | r | 0f18e4b9eebddaefbb62aaefaf76aa2c |
Adversarial machine learning {{cite:2d2a4c3b5f68ecc584f32d786e95b1420bd98e15}} offers a natural inroad into this question. It is widely used within NLP to probe model robustness and defend against adversarial attacks {{cite:15e357e0cde2ef8e6413b1c853ce7c22ac98108d}}, {{cite:bdad62ba4a6fa66689d09b56c9691dba549b5fd0}}. A... | i | 3015a21b56f68be73bc0d7f3848cff8b |
with a constant {{formula:0951dd08-387c-45e1-a781-988fffac114d}} depending on {{formula:fbda2879-61f3-47c2-b4f0-b451b01235cc}} , especially, the determinant of the Hessian matrix of {{formula:995e674f-bab0-4e38-a7ef-1d2d95a7268d}} . See, for example, Hörmander {{cite:d0fbdcfebd7c0ca3e3c2b18297fcaa6ebfe1ccf0}} or Stein... | i | 2d2f2c133c0f0711b41e7fc4b3236fca |
is SOS {{cite:c1419264584298f027cd41937c9e2a4dd2abf9fc}}. While this approach can be formulated as a convex optimization problem and gives a sufficient condition, it is not complete as shown by the following.
| r | 7c45fb828230964f257d8d7034f8d1e1 |
We also note that there are many other techniques to measure structural density and velocity fluctuations as a function of spatial scale, e.g. by computing structure functions {{cite:463ec5f058e1c61616a94393c12c495eb1810e54}}, {{cite:d5e4de197468cd4d63dfc5cb47c769d279f3b748}} or the spectral correlation function {{cite... | m | 63bcd24a4e304397b0a4d68cd7a74047 |
Remark 3.1 When {{formula:66e45b81-eb24-4c05-91b5-fddfb66087fa}} in our proposed Algorithm REF , our method reduces to the inertial proximal point algorithm studied in
{{cite:12b73cd848270026ef9cbd3171a479bdd1866ff4}}, {{cite:1d8ea2419204948e24e0cec0bca507178c1b328e}}, {{cite:b892d12fcfc943f923c503cc0d40d5a4f65030b8}}... | m | 6b913afff89b6f3072067298efe5de5c |
[leftmargin=*]
NCF, Neural Collaborative Filtering {{cite:94b76606197ada1fe5b6dbee7d29113c9c23760f}}, which combines the matrix factorization (MF) model with a multi-layer perceptron (MLP) to learn the user-item interaction function.
DeepAE, the deep autoencoder {{cite:f9d1399f30ebe1f8b918d9e28f10bacbd8f85831}}, which... | m | ac05acc239e438e567e3e6e4175feb54 |
With these benefits in mind, we propose a neural network model tailored for such data with singly labeled crowdsourced annotations. It computes a latent truth for each sample and the correct bias of every annotator while also considering input feature distribution during training. We modify the loss function such that ... | i | ef32cf19a25a9fd977116c5b06c4895d |
We start by stating the convergence guarantees for the single-pass NSEG method. This is obtained as a direct corollary of
{{cite:952289b0b8e54dde701a5dd877ccd92ed5a06c9b}}, where we use an explicit bound on the oracle error with the variance of the Gaussian.
| m | b8f634d95f719846e61083ba441fcc65 |
Our method (DFPA) showed a lower MOS than VITS (VSPA) when the proposed alignment method was used: DFPA had a MOS of {{formula:9a350269-d410-424b-95b6-14c6d2499ff6}} , whereas VSPA had a MOS of {{formula:e3afb8ad-98c2-4db9-8b59-d9feaa02e67f}} . In contrast, when ground truth alignments were used, our proposed method (D... | r | f99fef6c8a51eb5d3f509ebeaf6a19d3 |
A 0.5–wide 6.9 absorption feature is of interest in a wide
astronomical context because the feature is seen in young stellar
objects and molecular clouds which have a complex inventory of dust
features due to ices, carbonaceous materials and silicates. The
feature also seems to underly narrower PAH absorption in 2005–... | i | 7ed5c7c448b9d9bbfe31bc7c9b5ded79 |
This convergence forms the basis of our consistency argument.
We first introduce a result of {{cite:df5238a79699f516c09528b39f3f2e312b58675b}}, which shows that
with probability 1, as {{formula:e44d2852-13a1-493f-8cfb-e5d2e78b4be5}} , the system (REF ) with
{{formula:55ba66fc-4ea5-4ee5-900b-c36ab2c02ea2}} consistently... | r | ea2d9c04da05a8f255ee2687af28567d |
and it was firstly conjectured by Dalitz {{cite:644548b8220ff0df3490e461ef4d0f0a1951bdcd}},
| m | b92169d62f6a08f587565f24513ec4ca |
The analysis of individual calibration methods shows that isotonic regression ({{formula:e0a485ee-57c0-42c7-a24f-8c251bc8da1f}} ) and Platt calibration ({{formula:340054db-40c8-4a72-add6-5d265cd269c8}} ) have detrimental effect for both {{formula:73a34309-5c3e-4fd0-a999-2083966b9aef}} and {{formula:59ca272a-eb49-45c7-... | m | 4fd338407c7d0aa296c211e9b404d835 |
This latter bound can be recast in terms of other commonly-used density parameters and fractions: {{formula:2185b2aa-de61-4734-8761-8feb882dcae8}} , {{formula:a72f9fcc-3539-44c5-9e6f-c895125a27a1}} or {{formula:1f711611-0959-4973-ac95-4555b18851d9}} . It is interesting to note that the constraint on the non-relativis... | r | f023288c3f42e24bafd96125e36601e3 |
where {{formula:9a168fa4-5b90-4a0b-aa19-bf0d38971ce0}} and {{formula:f25e5ecd-cda4-4246-9d98-ad9d54ccf036}} (and additional dimensionful
constant may be present if {{formula:58aa6aa7-d7fa-4d77-bffa-4ff34063f6aa}} and {{formula:09f3b938-a04e-4bf5-9ed4-c5bcc0887e22}} have different units). By
considering a real {{for... | r | 045657002747f773e887b354af4aa37e |
It is shown in {{cite:70f67ff230eaa2e27d7e28155053c178f7c3b5f5}} (p.185) that there is an infinite Blaschke product that has an angular derivative at no point of {{formula:7179e07d-776c-4c61-82f7-3aa844d36111}} or, equivalently, there is a sequance {{formula:0ecc0e3d-f878-440d-b40b-2aa3dbd0535e}} such that
{{formula:... | r | 155a5bba72dbd57417684d9f1d5e3e10 |
In fact, efficient schemes
of this class up to order {{formula:d4014297-3767-45b1-8b8f-b6bf59e4f376}}
have been designed along the years (see e.g. {{cite:31dd465f7211609fba1f079000b8ee68deec661d}} and references therein).
In addition, they preserve qualitative properties of the continuous system and
show a very good b... | i | 2740d44cbb4b12052bee2268c23a2cf4 |
The rapid emergence of the global pandemic followed by deployment of pervasive mitigation policy had unevenly impacts across society {{cite:c3bbdcab23fd2d6c46575e2afb57217e5a059e51}}, {{cite:8f48f18890ffd8d14a3d8fa93f8e78ea6e070b8d}}, {{cite:e14a32ccfada216dbcf224d83c00cb9c4230a60e}}, {{cite:fc16ec613e5e2c7cc05a462f2f... | d | 1bf6cd535efa9c498900cf863a90d0a2 |
This paper considers distributed estimation under heterogeneous distributions among the data blocks, which is closely related to the Federated Learning and especially the multi-task learning (MTL) {{cite:ba044a5bbff400edf89842e162701b83676b6ac2}}.
We consider distributed M-estimation where there is a common parameter ... | i | 75b99d6a4fac84721a5a1d533d998a4f |
{{formula:b4a29a51-169c-4c25-9486-499b3785b55a}} Weakness. Although our model can achieve good results for the one-shot affordance detection task, more efforts should be made in the future work to address the limitations. First, there is still large amount of parameters in the proposed model, which can be further... | d | 431399e13bd6f918abda79250d9e5045 |
The results lead to several ideas of improving secure scan chains to protect against such algebraic attacks. For example, obfuscating the structure of the LFSR or using non-linear LFSRs {{cite:530dd01e537ac548d749a1d44ca3a8e026f59998}}, {{cite:afc2af97dc10c6936e32d52155a3d818dd1a8ab6}} may
make anticipating the scan o... | d | 75c26b8531aa7437f2c438a1d659f08b |
Comparison on clean datasets. The results for the original Cars196, CUB-200-2011, and Stanford Online Products datasets are summarized in Table REF . Note that bold numbers represent the improved results of original metric learning approaches by our proposed method. We observe that the proposed adaptive hierarchical me... | m | 077f7cfad7da2f7c232e1341faf54375 |
Over the past three decades, there has been a vivid interest in the area of robot navigation in pedestrian environments {{cite:ef7255637a16addc956a24a5d68813a8bca6a946}}, {{cite:9f187a63810cc82ae159e18f70573281ee3d8619}}, {{cite:e8cd987dd9fc1062b369393720954c92a47c2251}}, {{cite:886d694923ec141b5ca51dabd15d89e62bcde2c0... | i | 332dfc50a2ee0bf7cad4acd0374b7ab0 |
The conductivity {{formula:af3b9d3c-f166-45ee-aff7-0b97a3f8f457}} and Fano factor in ABC-TLG through {{formula:6c68df5e-2715-479a-ae51-0b5f1e0a3b2f}} and {{formula:6b74a4a0-3ed5-43b6-b7b5-0502427310f1}} junctions of height {{formula:40cda763-c5de-4cbe-ba6d-db1da79fc120}} and width {{formula:efc8ae9b-5f84-46f8-94ed-... | r | f834b444b5f5c6f9a81a6587861fae8c |
Since Greengard and Rokhlin invented FMM, the topic has attracted researchers from many different fields, including physics, math, and computer science {{cite:c6285d714aec513567c02db20950a0dc77cabe81}}, {{cite:501d8b04183bf5d845fa8cd7a3076adfc3618113}}, {{cite:a22469ad19a4e30739e478a9cc6cf2574c3a5497}}, {{cite:91691ab3... | m | 3cb5a529d86dda9c28287dedc7cd0eb8 |
The fractional radii were found to be {{formula:3ba1ef19-0cce-4b68-a8e7-874c798a01b2}} for the primary component and {{formula:a8d4a98e-583d-4092-af03-a88e3da20eb0}} for the secondary one. In this case, the sum of fractional radii was computed as {{formula:b83fc022-5a2d-460a-b20a-73eeae02670e}} . Thus, V1464 Aql seem... | r | 1130c976695b12d5271bb1587a77cfb0 |
Selection cuts are similar to publications from LHC {{cite:b997f24c7ac86ba83ce060004a874dcbd6212262}}, {{cite:15936efcdaf47a2ccedbb149962f69f7674ffd49}}. The dijet mass, {{formula:4a83cfe7-6ec9-4076-9c36-28dbb7392e80}} , is calculated for the two final state partons with pseudo-rapidity {{formula:f83a0ae7-c969-401f-953... | m | 378e0dc631f2412d12ae2f72f1f05ea0 |
tab:spatialsampler shows the quantitative results of our spatial sampler on EPIC-KITCHENS. The first two rows are TBN {{cite:e39e8127d437b25f738277129b137e795a12aa51}} and SAN19-baseline with FC classifier, both use high-res RGB (224x224) and Spectrogram (256x256). Since TBN relies on Inception backbone, its model comp... | r | 5e69f85c086f531779282eb5054e0296 |
A remarkable application of fine-grained entropy formulas {{cite:c3144d9d1738f7b8dd824211f1a24b2332e84181}}, {{cite:742c122cd441f83d915c5715a0d441c69729aacc}}, {{cite:226a39c34c91fbf82e5df3e14630a12682728e10}}, {{cite:2038f56c9f4147681ea6de311acbef9775c68cf0}} obtained by refining or generalizing the Ryu-Takayanagi for... | i | 08990d7f06080508397b20f958ccc57a |
Reference {{cite:f7c894444c9527514b19cd4eaf704fa068e48572}} investigates many potentials with constraints from the late Universe data. In this work we performed the autonomous system method and showed that under certain circumstances the DST includes stable late-time attractors. The asymptotic solution approaches {{for... | d | 57e5f37caf53f83b0d6c6977ee2a04a9 |
In terms of the use-cases explored with the TERM framework, we relied on benchmark datasets that have been commonly explored in prior work {{cite:317319dae14e60520b935192f8ebc77f1ea4f4af}}, {{cite:7a02026ada8c3dc8c834bb8d74ba124421fd2a67}}, {{cite:6c07567772cb240629406a48e0b4258b879fed28}}, {{cite:e0cb51a2dd712d18350ee... | d | e32ff32b141fcc6138f0a2ad5e2e19ee |
Ensemble is arguably the most trustworthy technique or concept to improve the performance of a given machine learning model {{cite:76300a53ead80d1302545051912ed66c8fabebbb}}, {{cite:78446e3edc62cdc28837b95ffbfbaa0bc81500cc}}. The ensemble method gives room to appropriately control the trade-off between bias and varianc... | m | 725bb48e21cc401e34a0045b914513b3 |
Difference-based UDA alleviates domain differences by minimizing statistical differences. {{cite:f0d214fbeef1ae2330708c02dccc11cc7d27eb43}} minimized the maximum mean difference for task-specific layers to explicitly narrow the domain gap. {{cite:971df6a3c8ba1e91ac368141e456d241aee95478}} introduced joint maximum mean ... | m | 8f36cc0d66c91864c55db1f02329a2be |
Bastings et al. {{cite:7b0d1f53b0199938d3ef4c956e579275a2631b01}} argue that post-hoc methods should be privileged over attention models when it comes to faithfulness, as post-hoc methods take the whole computation path into account whereas attention maps only reflect input importance at one point in the computation.
H... | d | 9db91b88c5d9623e8af46f464dab1574 |
Similarly, from {{cite:54f353fc139ea6dee990dfd0af878ea62a661fce}}, see also {{cite:0bef102eaddd46109577c434413f6c0dc7bf7618}} and {{cite:aa1bb69b8f2669f061fcef8b500976889a1fa944}}, for {{formula:d96fff70-bc1c-4482-a77a-3f37fb118b51}} , the point process {{formula:1f050255-79f8-497e-8319-4fc35dfaf1e3}} follows the law ... | r | e1b26c6e7c17d8b615250c64c0e8c360 |
Note that Eq. (REF ) differs from the free KG theory ({{formula:3268a97c-a492-4d61-a3e3-3e55cb6cadb9}} ) by some {{formula:e0464025-c5dc-4c26-84ff-68008fdd99cf}} -dependent terms.
Since the wavepacket is more or less arbitrary, we can consider a static homogeneous wavepacket. In
this setting, {{formula:8427eeae-4c35-40... | d | c703acc76c9ed0b71893c710c68794e5 |
Currently the best constraints on primordial non-Gaussianity come from the CMB bispectrum. In the near future, several CMB experiments will improve on these constraints, predominantlyIn addition the sensitivity to polarization will improve which will double the number of modes and, as our analysis shows, when combined ... | d | ef18636e96424406fd406a16be5f07c3 |
In conclusion, we propose a method to control spin wave
transport by weak magnetic fields based on the theory of chiral pumping of
spin waves. By exploiting two nanowires that communicate by unidirectional
spin waves, we achieve new functionalities such as magnon trapping,
amplification and a valve/transistor effect. T... | d | 2a3bddd9c6d85355af6d4311ae73687f |
paragraph4
0.1em plus0.5ex minus0.2ex-1emFurther results on AANets {{cite:4518de037dd87b0aa64c42baa446b349828bcccc}} and DER {{cite:ead9c1d412d4253590a3594a314c41c90414b01e}} We report results for
AANets (based on LUCIR) on Shuffle LT-CIL scenario (CIFAR-100 with 10-task setting). AANets outperforms LUCIR by a large ma... | m | d0e34f11c6009396277b25f18f444825 |
Moreover, as in Table REF and Sec REF , we found that more powerful backbones can further boost the accuracy, even with fewer parameters. Specifically, AET-EFN can achieve an impressive 91.95% accuracy on the N-Caltech101 dataset using an EfficientNet backbone {{cite:3b1aeccf5d6eabce898a14440f352f1cacd1d8c6}}.
| r | 0c108f2bde7fe702dae1337fb67a062e |
Such a strategy might be valuable in higher dimensional BO settings.
Continuous optimization theory tells us that gradient-based methods have local
convergence rates independent of dimension, which has made L-BFGS-B and
similar optimizers the tool of choice in solving for acquisitions. This,
together with the exponenti... | d | bb154d9dc3d19b4eae059e266f27e9fa |
The design of our anatomy-guided registration framework by learning segmentation without ground truth also suggests several interesting topics for future studies. First of all, our method could be adapted to other multimodal registration tasks that conventional registration techniques are not applicable, such as MR-Ult... | d | 9f085bd000aa0babbcc9b81d6f001531 |
While inference on the suite of IMIFA related models has been demonstrated to be efficient and practically feasible, there is scope for further finessing. Implementation of the third label switching move of {{cite:366940f561827f6ca674b43c32ca38e65e5492dd}}, exploration of the utility of the collapsed Gibbs sampler for ... | d | a9164c420f49dfd3271c176b86a40b13 |
If so, there would be immediate advantages. Models are highly compressed compared to the datasets they represent and therefore easier to share and store. Synthetic data also circumvents some of the concerns around privacy and usage rights that limit the distribution of real datasets {{cite:3da7807c962d3798528fd7115a7fe... | i | e598eecf7d2fc4f986d1899f93ab4fec |
the HJI PDE is augmented so that trajectories that enter the target set get frozen before the final verification time,
our equations share a facsimile with those of Jacobson and Mayne {{cite:206b64ad31aa5d80cc029049b7823207c8b398c4}}, and Jacobson {{cite:922d801b6c74212723e2c208d410e42f8912ae13}}: the equations are ev... | d | 02b29620c5cd2fdda9dd8b7df30a9745 |
where {{formula:6ad8c0d5-559e-42af-9a9f-71980816bc7e}} is a coefficient of the random force's correlation and {{formula:da4394bc-a045-4e25-95a1-bf644923b5ed}} is the friction coefficient {{cite:e4405e5b94cd25480981a0d1c262710056b83467}}.
In the right-hand side, in addition to the BGK collision term, there are the di... | d | c4a5ef5ed09f397daea50ab2be9acbd2 |
Perhaps one of the greatest advantages of our SSE-based approach is transparent description of entanglement which is, in most cases, obvious from the explicit analytic form of the state vector. In contrast, the characterization of entanglement within the master equation formalism is a separate problem, since convenient... | i | b74618d6712c0e236fe849b7987c9b1d |
We also noted the extension of calibration to naturally shifted data. Akin to the observations made by {{cite:1736fa463b5040491315748828d5bdc326cc841c}} on their evaluation on synthetically shifted datasets, we observed that existing solutions provide calibration on naturally shifted datasets as well. However, this cal... | d | 526908389f49e56a44e4924fa453da66 |
With this paper, we aim to make researchers aware of the value and complexity of challenges and their design and provide a framework to put challenges in perspective and determine next steps in challenge design. Most challenges organized in the field of medical image analysis thus far, are insight challenges. The first... | d | fb2086fecdda82216cd2eb10632605ef |
Five-dimensional {{formula:21e7acde-7af5-4e16-b176-6a23652cd215}} SCFTs are inherently strongly coupled {{cite:94dc68f6cdb5359146fd04de65b61426de6d3632}} and do not admit a Lagrangian description. They therefore pose a challenge to traditional approaches to calculating CFT observables. A fruitful strategy to obtain in... | i | 47e7846786bb25f50d7a854c2b078519 |
Random xor-sat in a nutshell. Random {{formula:9c443536-4450-4771-948d-8e9818073ccc}} -xor-sat {{cite:78dcb0d0228fa095074abcda64067b55b9725e60}} searches for assignments to a Boolean vector {{formula:d55c389f-e78d-41a6-b1a8-8c5610b9a0cd}} satisfying {{formula:a648087d-e25d-463d-a221-1e7554471e18}} , where {{formula:2f... | m | afc8be7099b6f3b127883622051e1684 |
The implementation of the gradient descent method requires the specification
of {{formula:92079fa6-a935-45a1-8e5e-c993fe7b5643}} and {{formula:ab702ef2-6247-4050-b168-e4b93d34e344}} , both of which depend on unknown problem-specific parameters
{{formula:59037b3b-3a41-4e39-988c-ded41b5d4fb3}} and {{formula:3f2c05f7-c4... | m | 2eeea771f7b33439ca3943f54f229a69 |
The setup of the recent 2018 FICO Explainable ML Challenge exemplified the blind belief in the myth of the accuracy/interpretability tradeoff for a specific domain, namely credit scoring. Entrants were instructed to create a black box to predict credit default and explain the model afterwards. However, there was no per... | d | 22815f2bc118611ab48a2d83081fdb82 |
{{formula:da38f431-4ba6-4865-99e4-c3d95ad4f21c}} See {{cite:ec9ed3eed97e71ac388d023d4318a4e944ddeb77}}, {{cite:69466ff6ffc948667cfced7952bd10a73afdf4d4}} and {{cite:e1aefc3f164909887a35ee9009cd43bc9bb82ebb}}.
| d | 4966b14d538451b6b16f90923eb22e26 |
In Theorem REF , the linear convergence of ARock is given in terms of the expected quadratic distance from the iterates to the fixed point. Note however that the literature on coordinate descent algorithms (e.g., {{cite:fa28e6d19887b22dfd38077e5acb8ea2447a1c9f}}, {{cite:9044c84fde3529b7e27b3db2e489783b6d5a3ea8}}, {{cit... | m | 61770b1471cb1ec6a759ca2100568c18 |
By Theorem REF , solving minimization problem SLQ{{formula:4377568c-e175-460a-a201-31136a810560}} is
equivalent to solving the system of coupled forward-backward difference equations
(REF ) and (REF ). We may exploit the variational
character of problem SLQ{{formula:4bb9222c-f1da-48e4-a61a-7571d964866d}} to construct a... | m | 7d57fe125895e332fa57ed02037593c2 |
In the dyadic stochastic blockmodel, it has been proven that, for the stochastic blockmodel on graphs with two clusters, the regime in which nonbacktracking spectral clustering fails coincides precisely with the regime in which the regime in which no algorithm can detect clusters {{cite:49b56bf4c570edd99f0377b563944b3a... | d | e05e80d7f7272fa15a9189107c675fb8 |
is the “pseudoinverse” of {{formula:5310ce4a-59de-4324-b0ab-89bf68179e1a}} (assuming {{formula:375d24d2-63ce-40f4-b688-55f5234d6bff}} has full column rank,
which we will typically do for simplicity). This classic solution
takes {{formula:677656cc-0231-4af6-8397-073dd6702a8f}} time, where {{formula:f5040d88-318d-40d4... | i | 4753e644743aac774be327b58e2595c1 |
Continuous subset sampling: Our objective function(REF ) requires sampling of subsets which is a non-differentiable operation. Similar to {{cite:c11a568e812de08e8069a348d457e90631edc579}} we use the Gumbel Softmax trick {{cite:772af876cdccdf97081236447c63eef68dce2a55}}, {{cite:30fb5557b0b566ac9cb66b9ba2bf2c3261a1618e}}... | m | b6a11e1e9b4505ef3b3beeec512e9104 |
We also submitted our results to the official evaluation benchmark for evaluating our performance on the test set of the KITTI dataset. For BEV performance, we surpasses PLUME-Middle {{cite:5bf907402649710a0923e1330cbdaf8e07746bf8}} by 10.48% mAP. For 3D detection performance, we surpasses CDN {{cite:09d9af09effb012718... | r | 31f60d7456a051017e9c677579b5fad3 |
Although both BERT and GPT-2 employ the Transformer {{cite:76e1c0e69a0d1c39248f555392b6ac462f600d0b}} architecture, they have very different ways and locations for storing knowledge in their internal representations {{cite:1270937f9ac141a0569f7fa396bc213aa8ca2526}}, {{cite:087a0fe672da7e4c30d7d321c1c034df6d6b05f3}}, {{... | d | aa3414baaa77aee2ac9315a4d54177b1 |
More analysis of stability problem in the CoSOD/CoSEG task.
In this paper, we delve into the stability problem in the CoSOD/CoSEG task. In the most recent review article {{cite:2da3d54e6e3dee440fcea5050b8959cb1d5af0a8}}, stability is highlighted as one of the most important issues currently unresolved in the CoSOD task... | d | eec2e183c835905a2fda497a302d80f1 |
where {{formula:740ff24a-aded-4389-bdf8-0115410aaa5b}} are generalized Laguerre polynomials,{{cite:e1043683dabb13ddc5f504b1fa21c855ecb2bfb6}}, {{cite:811f8248978e05612dc46d19819c64ac003c73cd}}, {{cite:b46f1b88d7ab9fa968c2f8a9325714fe9549cd64}}.
The condition (REF ) is equivalent to that there exists
a positive integer... | r | 3b970c63c96fbc74b403302528955c4a |
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