text stringlengths 54 548k | label stringclasses 4
values | id_ stringlengths 32 32 |
|---|---|---|
which empirically matches
{{formula:9a6ab932-2f17-4fd6-8a2a-074dafa0cc39}} closely {{cite:166a8acfe4cb4eb6a7f9199fa6b6d3e52593df2b}}.
This is shown as a function of {{formula:0ffbf52f-0238-4670-8cbd-5a24e8520652}} in Fig. REF and of inverse
coupling {{formula:37cda92b-a2fa-43ac-987e-b329d4f8524a}} at fixed {{formul... | r | 08ae6dfad48e1b5eeabe7f8401dd3032 |
In this paper, our objective is to design a neural ODE such that the features extracted are within a neighborhood of the Lyapunov-stable equilibrium points of the ODE. We first develop a diversity promoting technique applied in the final fully connected (FC) layer to improve the ODE's stability and analyze the reasons ... | i | ae13ff8752932adc8120e06bffe5a1a9 |
We are sincerely grateful to the referee who provided a number of insightful and constructive suggestions that helped to clarify parts of our work that were initially vague. We thank Warren Brown, Margaret Geller and Scott Kenyon for stimulating discussions on the topic of hypervelocity stars, and for constructive comm... | d | 30f3e408998e7b824fc507934756083d |
Table REF contains the aggregate results for each task and demonstrates the efficacy of using the proposed multi-objective approach. While the median population-level accuracy falls slightly compared to accuracy-only NAS, there is a substantial increase in hypervolume across experiments. Note that the best accuracy of... | r | 2bd78849f63ed41a74eb183d44bece21 |
Gaussian processes (GPs) cross-fertilize merits of kernel methods and Bayesian models to benefit several learning tasks, including regression, classification, ranking, and dimensionality reduction {{cite:e3cfe618be9971da9ffb9fc675f00e255d75e129}}. In GP-based approaches, a Gaussian prior is assumed over a learning func... | i | ce37551b43b75d8dd74ab623f4e3a92d |
Lung cancer is the most commonly diagnosed cancer worldwide, which accounts for 18.4% of global cancer-related mortality in 2018 {{cite:d830e4fd9953035e8200731c4b6f952291a51dfa}}. Remarkable success has been achieved in deep learning for lung nodule detection {{cite:8b10c3f93a583c79f9ae944e9ff55fec18d54141}}, {{cite:43... | i | 8059aa0deca82c488f6e3a7c1c6b1287 |
Various new physics scenarios try to explain the muon
{{formula:c6213a76-6204-40f2-907e-a245b794f35f}} excess, for recent reviews, see e.g.
Refs. {{cite:4d57ded4fee92ea085c9bd70e5ee556f42655fac}}, {{cite:3ccb5624fc3c269e3bd7243798db546b2edc6de3}}, {{cite:effa9d81f466c1bcedaa64549bcb1682df454cf4}}, {{cite:66f7e2c44ffa1... | i | aae5e7e6aa67f728ab8cfa92863b581f |
The goal is to enhance the performance metrics of the best baseline model, Visual Bert COCO in Kiela {{cite:7da569be9bc2f36c96e601c82a4685af47e0ac41}} to approach the human's test accuracy of 84.7% on hateful memes classification. We leveraged Memotion Dataset 7K {{cite:e4a8cfcbb9f58487e58972e54faded71321aac54}} to inc... | r | 14e79ac8e30d92137e0424bdfc757eac |
To further evaluate the generality, we validate the proposed method on an office-home dataset and compare the performance with 19 SOTA methods as reported in Tables REF and REF , including adversarial-based methods, difference-based methods, and mixed methods. It can be seen that the four domains in Office-Home form 1... | r | 4740b69f6d564b9478c034718524501a |
As shown in Table REF , TVT+SAFF achieves the best performance, which proves the effectiveness of the proposed SAFF. DANN {{cite:40a3e34090856d64b118069d6caf54018693fe25}} achieves the worst results since it uses a gradient reversal layer to learn invariant features between domains for adversarial adaptation, which may... | r | 0c2c73d1abd3b01d852a2bd868da27e7 |
Solutions based on fiber transmission have been aiming for suppressing the fiber-induced phase noise to retrieve precise frequency information at remote locations. To achieve this aim, active compensation schemes as first demonstrated in 1994 by Ma et al. have been proposed to cancel the fiber-induced phase drift and i... | i | 4a31566a4b614ed96ea0dca2fcf7079e |
In this section, the spectral projected gradient (SPG) method is applied to the nonlinear programming problem (REF ). One main feature of SPG is the spectral choice of step length (also called BB stepsize) along the search direction, originally proposed by Barzilai and Borwein {{cite:4db300a3d7e9bb9301e5eb21f277e4804a5... | m | 225419d9a5730816593aec0273c0ec7b |
Our results provide a feasible test for multipartite entanglement in quantum networks
and bridges the two well known cases of multipartite entanglement and multipartite Bell nonlocality. Moreover the scenario considered is a natural generalization of bipartite quantum steering {{cite:1ff730f198a02ba7931b8d3274b0199384a... | d | 795fe15c5a46147cc6adaeb179f38be6 |
In the previous work {{cite:03bb2e586faeb8978675b9de2035d1c020616580}} the monoT5 ranker is still fine-tuned by a text generation loss.
The generation loss for each token is defined on a softmax function over the entire vocabulary, and two separate target tokens “{{formula:8e6c76c2-656c-4100-aec8-1b0184a19cf8}} ” and “... | d | 662d5dccf6cc976e87740cf1749690db |
With this formulation, we can express many popular architectures for registration (such as FCGF {{cite:c9de91d36058c09da087f59c15d1448601ddd01d}} or D3Feat {{cite:ced33c90e4eaf6e492f13879a42ff5ed03903a04}}).
Then, finding the right output descriptors is a problem of metric learning.
We attempt to compute descriptors wi... | m | f517f104a94e26ecea89cc7bc4542b11 |
An approximate SOSP means the gradient norm at the point is small and the least eigenvalue of the Hessian at the point is lower bounded by a small negative constant {{cite:d025f82ae27bef7a08ebf1d4b20c722a1b56ca98}}.
| d | 918c25f6eadf82e2c9022133d6e1a741 |
Although primarily serving for graph OOD generalization
problem, our theory complements the identifiability study on graphs
through contrastive learning, and aligns with the discoveries
in the image domain that contrastive learning learns to isolate
the content ({{formula:a9759352-6c3d-44d1-82bd-7cfa558b01e2}} ) and st... | d | ca49de46f4c89c13280925064dba73e7 |
We have shown in {{cite:cbca072c1dc5e89fadc372b1b0ca44c68987931f}} the initial application of the optimal fitting approach to in situ spacecraft measurements by the Freidberg solution. The merit of the results was justified by the criteria such that the minimum reduced {{formula:2a270d04-a60e-4c83-a4ec-e283f2be6b76}} ... | m | 43809a64e14b9aa5c701c5ff090bf939 |
Aligning the marginals may be insufficient. Our method seeks to restore the full joint feature distribution by aligning (approximations of) the marginals. While we found that this is often sufficient, it cannot be guaranteed unless the features are independent. One potential remedy is to encourage feature independence ... | d | a447ee083e03a99d05ab11be8ef37718 |
One of the simplest updates in GraphSage {{cite:2fc7ee6a2a4e7ce7bbc9356601dca3fa747fb139}} for skip connection uses a concatenation vector to contain more node-level information during a messages passage process:
{{formula:5f4988b4-760d-46ed-8f52-a790b7e8c831}}
| m | 11b90e4cda788158d1c70e98f25f619d |
The dispersion of the probe pulse is encoded in the spectral phase
information, which can be retrieved using the methods discussed in
§ REF . Figure REF (d & e) show the real and imaginary parts
of the phase-rate variable {{formula:53b42ed6-066c-4460-8454-45b68b439fe5}} for the transmitted pulse as
well as the initial... | r | c0cbb3ffee5715e1c9c4269778908771 |
The late-time gravitational waves signal from compact sources is prominently dominated by characteristic ringdown phase. This phase is described by a so-called quasinormal modes (QNMs). In principle, one can determine the nature of the source by measuring damping time of gravitational waves amplitude. Moreover, linear ... | i | e62047b4b1558a1437d6cc02cd61082b |
Now we come back to the general CG method as introduced in {{cite:8a77f4a1870ef9ed8cda6ed887c8b773a38b7b0a}}. The method is already formulated in Algorithm REF ; we may notice the Fletcher-Reeves Conjugate Gradient method (Algorithm REF ) is just the same as the Practical Conjugate Gradient method (Algorithm REF ) when... | m | 462eb6d4407a79c5827daf668d7e0c9b |
We propose a nonparametric bivariate time-varying coefficient model for longitudinal data and a kernel estimating method based on complete cases analysis, i.e. using data when terminal events are available, which is shown to be a valid approach. In contrast, {{cite:dbd54b11abc4a65c3cb74a319c2e07f70c3a8cac}} considered ... | d | 0010913626911ada2edf3515aa51d0e2 |
For large sample sizes, performing EKPCA amounts to a significant computational burden, motivating many approximation schemes. We explore the popular Nyström approximation {{cite:638be780d85d3e9e4e6e9b95a1365f18055ee6bd}}, {{cite:1e6e47939c708bdce3daf7e94edf167120073209}}, {{cite:36add20428dc398680779b6368edd174b43d717... | m | 8def993662370f6062a777cdd43f1ea9 |
Another line of work, inspired by the deep image prior {{cite:d89931242c62022d23732e247d11d168b9102b2f}} focuses on using the inductive bias of convolutional networks to perform reconstruction without any training data {{cite:90100a8b33d13a076a5631cbe54c30c14fb9f302}}, {{cite:ba361282d960f0768cd2411ea1e8e6664f4e21c7}},... | m | 2c0380430b95c27970558f2063639e10 |
To investigate the presence of a spontaneous magnetic field in the sample, we have collected ZF-{{formula:1eb3a4d2-f500-4f3c-8b08-4594c185e3a0}} SR spectra at temperatures above and below the superconducting transition temperature. The asymmetry spectra were best fitted by static Kubo-Toyabe function multiplied by an e... | r | 43e4666ae131c2b676b0753a9a87a1c0 |
In this work, we consider a universal line-based OCR pipeline that can extract dense printed or handwritten text as well as sparse scene-text with the goal of determining the optimal text-line recognition (TLR) model in this scenario. In such a pipeline, a separate the text detection model is responsible for
detecting ... | i | 851d5da2c1521e5bdf6ab53eb50f301c |
Previous works on synthetic segmentation can be classified into two categories, including two-stage method {{cite:ed6827560576cb0d020b61382b3890171f71b0c5}} and end-to-end methods {{cite:9eb617ba19ab5f81cdad306bf7dcfd1d4851d3c5}}, {{cite:ffda47592501f5d14e6d0eb48ec4c57a60b67250}}. Zhang et al. {{cite:ed6827560576cb0d02... | i | 225ee22b3ec1002424d893cfac8c02a8 |
Solutions with degenerate metric were a subject of a long-standing
discussions starting probably with the paper by Einstein and
Rosen{{cite:67759aedb97dd390ea1ffdde345be1589561248a}}. In spite of some difficulty interpreting
solutions with degenerate metric in classical theory of
gravitation, the prevailing view was th... | i | 7474d6f53af26c14caf0d0f3c642f3fc |
We can then proceed with an analysis exactly along the lines of our discussion of Mrk 421 in {{cite:c4b40fff0e09ed1f81dcf4bcaf269f5d9380c22d}}, and specifically refer the reader to equations (17)–(21) in that paper and to the discussion around Eq. (5) of {{cite:9a433f99bbf9752583d9d729d9f3300514686e0d}}. In summary, we... | d | 1216e242d160bb5194bb55b40fa76092 |
It is often desirable to study statistics on barcodes and much work has been done in this area (see, for instance, {{cite:86aa2c95204b9427e91d2169c2ded46ba68dcb36}}).
Recently, researchers have begun studying combinatorial invariants of barcodes. In particular, Kanari, Garin, and Hess discovered a natural mapping betwe... | i | 1b6f70755c55ea18b4ebc84ac1c4d42c |
The H{{formula:06d238fe-cdc2-4e02-832c-927641a613a4}} emission at the position of AB Aur b has been detected by Subaru/VAMPIRES {{cite:497301211fd4e9677236627a7839fdffe614a4de}} and HST/WFC3 (this work). However, it is unclear whether the VAMPIRES detection is physically associated with AB Aur b due to uncertainties i... | d | a9ea637e16823d6b6611cf16b1b301ae |
The twistorial formalism we have presented here firmly establishes the geometric foundations of the Newman-Penrose map. In particular, for any Kerr-Schild spacetime with an expanding SNGC, we have defined a coordinate-independent construction for both the operator {{formula:23e4f26c-0daa-429e-b734-71629193a5f5}} and t... | d | 84df7947f59fcc0f57d244f3c6a1e76f |
Whether the improved performance and superiority of the non-adiabatic operations extend to larger problem size is an important question for future study. However, the scope for classical simulation is limited due to the typical explosion of Hilbert space size with problem size. Analytic insights would be extremely valu... | d | f12f0de68aa0377efdb98674f497dacc |
This section briefly describes the details of training and presents the experimental results on the compared PDDL benchmark domains: Sokoban, Maze-with-Teleports, and Floor-Tile. A* algorithms with learnt heuristic functions realized by the proposed convolution-attention-position networks (further denoted as A*-CoAt) a... | r | 73ad408bc197cb341bddd94b4d8a3eb9 |
Due to the more complicated integrable structures of Pfaffian point processes, it is not surprising that the local universality classes (i.e. scaling limits of all eigenvalue correlation functions) were first investigated in the complex symmetry class.
Indeed, the bulk scaling limit of the complex Ginibre ensemble was ... | i | 272cc3a75755d68555d72f324a057baf |
In this study, we assumed that the body and inertial forces are negligible. It would be interesting to include such effects in future works and investigate how they impact the model's accuracy. Moreover, for all the cases studied here, we have used feedforward neural networks. However, one can use more advanced archite... | d | 0432d8e30bcd99017fd5adc4ef1dcf84 |
Many recent works have used adversarial attacks on CNNs to demonstrate the susceptibility of the networks to simple methods that could lead the network to make completely wrong predictions{{cite:0a2cec41e2f6d9238ad1a79e9d17e26a032141a0}}. Different adversarial attacks on the network can be used to interpret its behavio... | m | c5da451b9eab5d10b3020b61f13ca555 |
Two trivial solutions exist: (a) recomputing low-discrepancy signings
on the active set of vectors after every update operation incurs optimal offline discrepancy guarantees with a recourse of {{formula:69af7cce-a791-449f-aacb-65c185404d8b}} per
update, and (b) an independent and uniformly random signing of every
new ... | i | 2ad27370a9fa4e89c9c95b174c25b892 |
The ideal prototypical representation should be expressive and encompass enough intra-class variance, while being distinguishable between different classes. In the literature {{cite:27cedc2cc7ec21b456dd83b295ff7af4ba3ba475}}, {{cite:764e14db0fed727c33b69b7de568032bd2d75a52}}, however, the prototypes are commonly modele... | m | 4c8aefef138b2249866de66c2e67f465 |
We evaluate the pixel-level anomaly detection performance in Table REF , and illustrate the model outputs in Figure REF of both texture and object classes. In all cases we use a vanilla AE with {{formula:6f09cbdb-78d2-4ce4-a18b-ff437f7b43b4}} , {{formula:047ace8a-b874-445f-9167-44ffaa31fbc7}} and {{formula:7baba782-b... | r | 0632b810aee2e9ddfded4be8301af818 |
Results on ScanNet: Table REF shows the segmentation results in mIoU(%) in ScanNet{{cite:494f90358f7a6ce39a596452c48ae9733e5c0fbf}} validation set. Our method outperforms the previous method MPRM{{cite:7b8153b3d0e6c0db5a892dd7273a71540ad444fc}} by a large margin. However, with 10% points labeled, the baseline results ... | r | b10b41338ff03f08429f1329a9f280b2 |
The resulting quotiented structure ({{formula:c7485c1b-0f8b-4a11-84d0-2c7cd0abded8}} ) (which is isomorphic to ({{formula:abdee107-8726-4826-a6d7-3bd3ad1b90e6}} )) is in some sense, a richer object than the orders considered in this paper. Every countable poset is embeddable in ({{formula:ac538e29-a21f-40ed-b0ee-f21b0e... | d | 835a87c68ad7fdbdd79487c3f38fbd09 |
When the weight distribution of a linear code is known, it is possible to obtain the weight distribution of its corresponding dual code using the Krawtchouck polynomials. Through the following, we recall such an important mathematical tool (see, for example, {{cite:ae1f5b94be391d53d066aea7ed6bc532850f00c6}}).
| r | 9c16e9b202004b9a992a147c77ab2f14 |
Beyond this, there were several notable theoretical works considering the cavity statistics of lasers with embedded nonlinear absorbers {{cite:f00cb811b72480ece4c481148279d75e53a26bc8}}, {{cite:b4464d56eefb1424f615f608669b56cfbe372b1e}}, {{cite:550d3f60edc115b271676364f5b0d677602d71d2}} (e.g., saturable absorption, two... | d | c29ebb7b49ff64087f6532a5da970f80 |
Example 1.7 (Thurston {{cite:85575ddbff68b56c8a3922098adfa12d02d013e5}})
Let {{formula:01beb6fc-479f-4223-90d9-eefe76c46b24}} be a cusped hyperbolic 3-manifold. By Dehn filling {{formula:909976cc-06a5-41f0-b6c1-6ddba6c60d39}} , one can get non-isomoprhic hyperbolic 3-manifolds {{formula:c26b9754-d20b-4848-8d28-95a61e... | r | 56854c996bae42ab634a4b95810d133d |
In order to give full play to the role of ultra-wideband, we develop a JMMSE-based distance estimation method which is able to exploit the low-rankness structure of the covariance matrix in the frequency domain{{cite:a4669c3fd9734572d191b6a35c85bb416dc873bf}}.
When {{formula:5d7a9bf9-2735-46a0-949c-b30c315ea962}} is i... | m | 7e38f7900f037bf0db3855b797a6596e |
where {{formula:bb827e24-bca6-4714-af90-c511090516b1}} is the modified Bessel function
{{cite:52b83e05e350a25ed23f227f1979385f7a826fc3}}.
In Appendix A we evaluate the right hand side of Eq. (REF )
as a Taylor expansion in powers of {{formula:cb38fa32-28f6-420d-8765-f439eb16388f}} .
We obtain
{{formula:34494aaa-525a-4... | d | aa220cc548193fe37a3081e9ab648199 |
In this paper we solve the above two challenges using three techniques.
First, our model extracts a spatial temporal feature sequence from the observed video using inflated 3D convolutional networks {{cite:355819ac06afb55a76c47e6f7356839da5c6350f}}.
Then we propose a novel encoder decoder architecture to forecast futur... | i | 9e462fbca4bf602c29772e64fadc688e |
Given the diversity of the downstream tasks, we do not see a single clear winner.
However, our Ladder-BYOL maintain a balance of downstream performances at a high level by being the best in ImageNet-1k (IN) linear classification, the best in COCO (CC) box-based detection, and the second best in instance segmentation.
F... | r | d285cc076f1d4673dc72a227ea6c6a8e |
One dimensional disordered electronic systems are always localized. Following the scaling theory
{{cite:b50aba340ef13f86fe8ba50ce33783d8bca7091a}} this implies that by increasing the length {{formula:00f88c76-98e6-459d-a01f-ba2e844960e2}} of the wire for a fixed
amplitude of disorder, its typical conductance ultimatel... | i | 3a638881c8c30b68a8b23c0606b0866b |
One of the key aspects of the CERN LHC physics program is the search for new resonances predicted in theories beyond the standard model (SM). Given the fairly stringent limits already set on masses of such resonances in fermionic decay channels (e.g., via dilepton or dijet searches), it is particularly interesting to e... | i | 0fe2fabc91ac09efd8a720deb4aa466c |
In order for baryogenesis to take place, the following three Sakharov requirements {{cite:229de645cea441bf623e1878dd3ebf2bb0ea924d}} must be met:
(i) non-conservation of baryon number ({{formula:9354381f-3eec-4db1-bb06-77f89b896e5f}} ), (ii) {{formula:b1e86fbe-a90f-4f5d-b9e0-d591242c3917}} and {{formula:4e969e2c-2820-... | i | 748ade91b52e5b6dbb05a4e7bde43936 |
No other data on the W diffusion activation energy in EUROFER could be found in the literature, but there is some data for the activation energy for W diffusion in Fe available.
All of the reported experiments are done at considerably higher temperatures (>1000K) and analysed either by electron probe micro analysis (EP... | r | f4dac7a4030b96488e3fa95ea4866452 |
Since the transverse electric field is applied in the plane of metal atoms, its effect is added to the diagonal elements of the Hamiltonian matrix as a potential term. The mentioned term is calculated by multiplying the strength of the field to the y-coordinate of each atom while the lower (upper) edge of the nanoribbo... | m | cfebbef81cf90a4986b8a260d3e25ce5 |
This section provides a connection between LDU (section 3.2) and kernel ridge regression.
Let us consider the generic training of a kernel ridge regressor model {{cite:58d0c35cef2e91bcfa1ef12172bb9f2a2f42cec6}} {{formula:232fe487-aea6-4f3c-a67f-5e74389d6f53}} on the training set {{formula:2e19e1d7-cb64-4dff-bfff-ea636... | m | 23799c270eccfe740e451968a7471072 |
Brownian dynamics simulation.
We implemented a basic bead-spring algorithm{{cite:74702a57afa5a4825e9574f6e623f14603c403a1}}, {{cite:850fe759c6dbe8d1de76f54a919f86695b9c7dd6}} to simulate the Brownian dynamics of polymer chains in an entangled solution, using standard interactions as discussed previously{{cite:5db9d9316... | m | 6d8f69bbf6fe83c49469c0c82164121e |
Tabular {{formula:b520e42c-b689-404a-a141-e0478de655fb}} (with importance sampling) is one of the widely used methods for off-policy evaluation in reinforcement learning (RL), whose goal is to estimate the value function of a given target policy via the data that is generated from a behavior policy.
Due to the high-di... | i | 09ba01a8eeb30e3338e52ee867932858 |
AutoKeras {{cite:d36413913d89d9d6988f47b197a3f7470f2f5a9d}} based on Keras package {{cite:eaa9ed4466dc64238b85c2558816055b60aa3f7f}} searches deep neural networks and hyper-parameters. For each dataset, we set number of max_trials as 20 and number of epochs as 20. It tries 20 different Keras models and trains each mode... | m | 097b9eec3276d48053c6b0d54579bffa |
The last decade witnessed a spectacular progress in the astrophysical black hole observations. The Event Horizon Telescope (EHT) collaboration unraveled the first-ever image of the supermassive black hole M87* at the center of the nearby galaxy Messier 87 {{cite:d18a38ff20de1af078d5831d66b51fec6a445826}}, {{cite:cad4d2... | i | c85651cce18484fb881c302012066730 |
Reaching results similar to the state-of-the-art architectures in generic tasks, with reasonable hardware and GPU time investment, is crucial for applying NAS in the industry.
POPNASv3 goal is to provide fast neural architecture prototyping, optimizing the computation time without any significant accuracy drop compared... | m | 86b0e695f0ad661c4755860efa4190ed |
A substantial body of work has investigated contemporary language models (LMs) by assessing whether their behavior is consistent with the rules of syntax {{cite:ae4b26e8e40b066d89dff63c36dfa0cbac15043a}}, {{cite:9a8ce73c99e76132cbb8f4de59bb7fac3ab7ddb2}}, {{cite:56a7e8a4fe94970afed80a9c952c3775b9fd0ec2}}.Data and code ... | i | 4e59d7a2ae2391af3c6bda28c75602d3 |
For our proposed deep network, we provide a more direct and efficient strategy to generate arbitrary resolution of the enhanced image (see Figure REF ) compared to bilateral learning methods.
In addition, for HDRNet {{cite:eb14b06deb551a9a4d53a533b7f320a4c75c5c53}}, we replace the additive operator with a convolutional... | d | e8fa153ac6a893ece3b9fdf59a974af4 |
Lemma 10 (From RDP to {{formula:a4312795-6fc1-4176-89f2-85ea5b374e43}} -DP {{cite:8fe991dba7c07441d39891b2ccec74725c751562}})
If a randomized mechanism {{formula:f8f96537-9656-40da-9a6f-dedc2268a740}} satisfies {{formula:2de39913-e0f9-46bd-b5a0-7e7e22fc4d84}} -RDP, then {{formula:9563bb20-023a-4020-be56-967bedb621d4}... | r | 07074b76dceb05658c61e6115f16bc6c |
Localised contrasting methods form pretext tasks by pulling the representation of a node closer to its augmented counterpart or close neighbours to distil the localised contextual information {{cite:eeae4b09db79e8450dbce4180342221377c43c3d}}, {{cite:6f7317a19e5f803ada0f2392b8a803c86a7b4bd8}}, {{cite:559179d387e1e4e33e9... | m | 8817e207041da7b02f1fece9f82f81e0 |
Moreover, we did not allow for the production of scalar particles in
the cascade. In section REF we argued that we may
safely leave out the SM Higgs doublet in our analysis, but this may be
different in models with extended Higgs sectors (with more degrees of
freedom, and often also enhanced couplings to some fermions... | d | be27994b7fdd31ad20b8b452e2eec449 |
Some improvements over interpolated Kneser-Ney have been suggested over the years, with limited acceptance.
Modified Kneser-Ney smoothing {{cite:362013f565585925f00360c7c0da92d3a3657678}}, {{cite:d2d856a5f144f6d1089cd658421b7c5e76e60969}}, {{cite:5742bfa29f75c30e9cf20c01a75b69ee6eacb4d3}}, {{cite:f4aad55d36016f95c03d74... | m | 115b2ad5fa6a5db6009d8964caaf3fad |
A possibility we have in mind is that the current time value {{formula:17ec6f95-29da-4b40-94f1-ebec23d51bd9}} derived from the data fitted with the standard model {{cite:c2d80be17563125ed5120100412348ba319546b3}}, i.e. assuming Einstein's equation, might be biased due to the fact that this equation implicitly prefers ... | d | f1fab70d5f4283bc0858292d2e8e871f |
Figure REF shows the qualitative results of FSCN on the KITTI Eigen validation set, while comparing with two leading algorithms BTS{{cite:862409ef291c1a2316f8c9b6833b5168ff2d6177}} and DenseDepth{{cite:7b2953f515ec2fafa32d5c2211dafed0d1f3b8f9}}. From this figure, we can observe that FSCN method shows more details in t... | r | 1ac9d10f63277b2e9e2cd6fc1c31cf3b |
Our results indicate that all machine learning methods substantially outperformed the traditional AFT and Cox proportional hazards models in estimating TEH. This is not surprising given that the traditional models often encode strong parametric and linearity assumptions, which are prone to bias when model assumptions f... | d | 59b32f0ce8d7cfdb4e8a3dea2fa86554 |
The learning rate {{formula:7007ff1a-ff01-405a-ab62-5152fb450d78}} should decrease with iteration number {{formula:3b2fb787-a83c-413e-8d3d-4c473568c449}} , such
that the conditions {{cite:b1cb489854ac386509f1e4e89ddd4573c7a12af6}}, {{cite:db5e71668c75b21bc9a4189bf113484876be6846}}
{{formula:229bc47b-d6dc-4f0c-a9be-d9e... | m | 34494f9f250945a437bcd95d579b6f0b |
Base: Each client uses local data to train its local models without federated learning.
FedAvg {{cite:45ef48e112ff92f0f41ffec393adf81707d2df53}}: The server aggregates all client models without any particular operations for non-iid data.
FedProx {{cite:1cbf345cf4452bbd1d3c1f0c4ebe7ba628d35d38}}: Allow partial inform... | m | d345fd1159b59a6a3f166a66517b51cc |
where {{formula:a95c89e0-c12f-47f4-9a0e-ed0e412bcdff}} and {{formula:d35e8ad2-6a45-4fdc-94b2-bf498ccb470a}} are the momenta in the
{{formula:beb8ee57-3e7e-40bc-982b-e6eb0d1d512b}} and {{formula:efec70b5-8fbc-4890-bef4-15bed2d9824b}} center of mass systems respectively, evaluated at
the energy in the {{formula:67202... | d | d58e7109256f6cb1ac6d9cb0b84c9ed0 |
We compare our model with the following non-autoregressive methods.
NAT with fertility {{cite:b945c96f48dc6646d619a7498a7572e8d07b9efe}} is the first to propose non-autoregressive neural machine translation, which predicts input token
fertilities as a latent variable.
Latent Transformer (LT) {{cite:2fef44f6fda96a6a2599... | r | ce7fad9ee4c6dc36f73680da43034f5d |
Generation of Oracle-Invariant examples: While the strongest Oracle-Invariant examples are generated using the gradient-free attacks Square {{cite:c981532167c322a73778264969e18b7a56b1e396}} and Ray-S {{cite:03235df7056ae1b4d425f42d0621b636aea5e900}}, they require a large number of queries (5000 to 10000), which is com... | m | 23a009cd5483af66d1c105b2fa8faf30 |
Filtering Test Datasets.
Following prior practices {{cite:9aacec59d159f933bd5894f915d70a0ecc56986e}}, {{cite:f649e016608c6ebc598221b149f0d68d4dbe8826}} and our criterion mentioned above, we filter and refrain to report potentially contaminated datasets' evaluation results.
For LAMBADA and CLUE, we find minimal overlap ... | r | d881b8420277d018f4e5279abb9b41bc |
The mass modelling of Q2138-431 turned out to be straightforward. This
was not unexpected, as the lensing galaxy lies close to the line of
centres of the quasar images, and roughly in the position one would expect
given their brightness ratio. This contrasts strongly with for example the
asymmetric Q0957+561 {{cite:958... | d | 160385feafaf533b945bd81acf7489e2 |
To evaluate quantitative results, we use precision, recall, F1 score and accuracy. As a test set, we use a COVIDx introduced by Wang et al. {{cite:40d716e7b598452a6af3dd7bfc9440d71dedbb7c}}. It consists of 300 images equally distributed into three classes. A globally trained model’s inference results in a single classi... | r | f3f60620d5e135b8084ff4f218dfd5f8 |
As shown in Table 1 in the experiments section, without RL, training under MLE already produces high-quality candidate captions with the upper bound reaching a CIDEr-D score of {{formula:4be5c5e1-0ddf-47aa-bfd4-8cd421f64448}} points. We suggest that one possible future work is training a stronger image-text selector, ... | d | c2eb846143e730666e6f146cb1c922c4 |
There has been a long-standing interest in electrical breakdown in
liquid helium (LHe), motivated by practical applications as well as
fundamental interest. LHe may be used as electric insulator and
thermal conductor at cryogenic temperatures, which may simplify the
design of superconducting magnets{{cite:e8539b05b7cf6... | i | cce77ae11e7322b3f16473c9dabb69fb |
The augmented Lagrangian (in its “scaled form” – see {{cite:bdc182574fa17d286af40eb1607c220e11c56cee}}) associated with this problem is given by
{{formula:6ea81b07-167f-4c1b-8661-5148eac90c39}}
| m | ef33febc1793cf4ec015925b80249ca4 |
The heterogeneous network model described in this
paper facilitates characterization of the dynamics of complex,
biochemical systems by abstracting the dynamics of their composite
motifs such as the yeast cell cycle based upon {{cite:974ee8232c089d76f348196e4388dd94fd4bf624}}. We note that the proposed heterogeneous ne... | d | 52ddbf86e55a77d4ab48d35456ce97d3 |
Problem (REF ) is arguably the most basic optimization problem, which nevertheless arises in many applications in machine learning and statistics {{cite:9d46c730e85936d3229cf4822a6ca74983ea9d00}}, {{cite:3d9c2af25bfdbb569b10057af01a0562e4b05dfe}}, {{cite:c37f298c19ed3dd1f8bb4517cc60462ed8cab493}}, {{cite:5d3e7dbcec7a7b... | i | f6e5d6504cb5919a982d895be785a0e4 |
Multimodal encoding
Given the input features {{formula:0944a6d1-1357-4459-813b-a9aa0595cddc}} , {{formula:08893b3a-69ee-4051-8771-b90dfa4f429a}} , as shown in fig:model, we use two encoders to compute their representation respectively. For each multimodal encoder, a learned [cls] token {{cite:35f780dda6d7ad8fb462e213c5... | m | 9e2ed1e046b0d1f01257bc3364dc3beb |
Regarding the center-of-mass energy of the hadron collisions, we use by default {{formula:ea21f2df-ce31-44fc-9e46-743e4a498035}} , although we also explored the TeV region accessible by LHC, setting {{formula:c12bdeb7-291d-4ab3-9e02-de917e286c2a}} . We are interested in studying the improvements associated to new and u... | r | 83195ecdac3f98ce0e204ddd70a8cf05 |
NOMA is considered as one of the key technologies for fifth-generation (5G) and beyond 5G cellular networks {{cite:b0194ef65cad0e200538c2dbff6bd2cdf1191036}}. In NOMA, the users are multiplexed across the power domain and the SIC is employed at the receiver side to decode the data. The capacity improvement with the mul... | i | e49dd992e9170fbad291e42efea07065 |
The ECG original samples, {{formula:43f298f5-eb31-4527-be73-e25da6eea076}} are perturbed through the FGSM attack by calculating the gradients of the Discriminator model, {{formula:039686f7-485c-484f-a035-a056690c6f6b}} . So it calculates the gradients of the loss, {{formula:6f6749ef-c6be-4eb0-a752-b00cb9e202bc}} base... | m | 94ea7b2e23fb5aa92b870c260617ddf9 |
At the pressures required to stabilize many of the superconducting polyhydrides, the chemical intuition developed from living at atmospheric pressure breaks down. Seemingly bizarre stoichiometries such as NaCl{{formula:63b29bca-532c-4728-9dff-fe87f32bc9f2}} {{cite:a4ba6c61f67310cee5f9f7fea7fa4f7312710f34}} and FeH{{fo... | m | 631e1798c046c70aaa50bd4c4c68455d |
Since the CosmoGrid simulation is a dark matter-only simulation, we do
not account for the effect of baryons. Because the formation of the
large-scale environment is dominated by dark matter, the lack of
baryons has little influence on the formation of the haloes. Star
clusters however likely contain little or no dark ... | d | 25ce9fc34e66622bd2ddbcb8e9a45303 |
The frame potential function {{cite:8874fa212fc4099ca3c162e98b59df66b3b128b3}} takes a frame as input and returns its “frame potential value”. This value reveals important information about the properties of the input frame.
The concept was first studied in {{cite:d6b041ddb0331833ae8aa6547f8c40c6d2b30377}} where the q... | i | 38dad0c5a51b3f96496ea35e1dd7a0d6 |
where {{formula:690c0662-47dc-41b2-b90f-e6fc8af30d94}} is the number of base learners used to build the ensemble. A necessary condition for Eq. (REF ) to be valid is that all base learners need to produce quality estimates of the same perceptual scale, which is nontrivial to satisfy when formulating BIQA as a ranking... | m | 147d75fcee8c6f4b387790d44ef6efeb |
The gradient reversal layer requires additional tuning {{cite:a6588f4230b46c5de5a41a8f11d019c589c86178}}.
Specifically, like {{cite:a6588f4230b46c5de5a41a8f11d019c589c86178}}, we gradually introduce gradient reversal in our training using a warm-up schedule.
For the first 10 epochs of training, the {{formula:ac8ba6af-7... | m | bcc4321498632b2654a818fde409618f |
1.) The weighting function in distance correlation is selected in such a way that the dependence measure can be expressed in terms of covariances of data-dependent distances. However this convenience comes with the price, since weighting function may remove some important information from {{formula:236416ad-490b-4b0b-b... | m | a477004e59cd7c67390a3a92ce982bb9 |
Probability distribution: The total simulation volume containing the field value {{formula:d77ba26c-caf5-4ad1-bdc8-27c582befd86}} at a given time {{formula:b0d0e799-ecb4-40e8-975a-1f407b48a008}} is displayed in Fig. REF . This probability distribution is initially peaked at {{formula:b19b5c69-30ed-4c1a-91fa-8710923d... | r | 5faa03bf6b85cf4d56dc9dc53b3e0fc8 |
The existing approaches to segmenting unknown objects can be divided into two depending on whether they use supervision for unknown objects or not. In either case, the model has access to known classes during training, i.e. inlier or in-distribution, and the goal is to identify the pixels belonging to an unknown class,... | i | 7227f5e251d6f2db3db6fdf2b687c2f6 |
There are other possibilities for implementing full
unitarity and analyticity in the one-loop results. In particular a well-known alternative that we also consider here is the
N/D method {{cite:d965746a7ea772d84de3de6917c1c361362a0beb}}. There are many ways for applying it depending on the problem at hand. Here we will... | m | 3cd8db28cc8f9f93a06a60d9451fae4b |
In this paper, we show that despite the general consensus that textual adversarial attacks should preserve semantics, striving for ever-higher success rates seems to be more important when implementing them. We combine a human evaluation with a simple probabilistic analysis to show that between 96% and 99% of the adver... | i | 75a9fdbd72efed4848dda4e4421aa888 |
The H30{{formula:f320ff67-ad0f-4958-b1ff-cf68148fab41}} results can be compared to some of the published {{formula:1b0fa3d8-f972-4486-aec3-be24cff191f8}} based on other radio data analyses. To start with, two papers have published analyses based on radio recombination lines. {{cite:c7bcb7036d21d7c422e3e2062580c8201ef... | r | 70ca0b7608558229b696481828651d91 |
Current methods for detecting interference include conditional randomization tests {{cite:16b031303c668d2fd47f0e3e3d95d9802b43856a}}, {{cite:4a023663629c4b48fad07107a9815f6016444a5f}} (as outlined in Section ) and carefully designed experiments performed with the intention to detect interference {{cite:6d24e2f4a0f0674a... | m | 8423b6d0e51fe075ffc8f94d7405d09a |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.