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We develop the theory of hEP and prove that this allows computing exact gradients locally at synapses from finite teaching signal amplitudes of adiabatic oscillations.
We numerically quantify the accuracy of our estimate and show that it outperforms classic EP, especially in the presence of substrate noise and in dee... | i | 4d6a6468bf6a6400cfb5e56c94a069ab |
Machine learning has shown great success in building models for pattern recognition in domains ranging from computer vision {{cite:325a34f74e2e83e28960fd0bca20fbdc5b4a02b3}} over speech recognition {{cite:085cacffe2adcde13c3b256dbec1d1b8edcfecf3}} and text understanding {{cite:19bed7236392743bf306fdb7e62b8ad73a7242b9}}... | i | 201e26ec42ed4c3d803e1ddcea1c64d3 |
Many stain normalization methods are based on generative adversarial networks (GANs). In short, GANs are suitable for conducting image-to-image translation {{cite:58a82d16606957719ca84823ef3f72a00d91c7ac}} tasks in which images of one group (i.e., a "style") can be transformed into one of another group. Note that GAN-b... | m | ba23e013a6e05cec83697bd494eed1ea |
The existence of a suitable enlargement {{formula:8d7d1105-3fde-4ff1-a517-61641af72046}} such that {{formula:3297d96a-d386-49e8-badb-a97be1d19ff6}} is guaranteed by smoothness. In particular, following the analogous setup for ODEs in {{cite:502e90f6369ab40a8e05fa81010bd21761a20dcb}}, {{cite:dbe5fcbf7cab45c1b36950cdab... | r | b995a905b3cffdf9a07ae10bd80f7f9c |
One important concern about this proposed scenario is the comparison with previous transport results. Albeit previous reports show that even bulk Bi{{formula:780001b2-a111-420a-960d-c93c5b685b55}} Se{{formula:a8113b86-1145-4cbe-81d6-91ada7ba0c4a}} samples have a WAL effect at low fields, and thinner samples have a mor... | d | ee4e68980d39a556d0d307ae1243df9c |
XLM-RoBERTa
We also applied the XLM-RoBERTa model {{cite:cb527f03b5cef2922a2c94e8133e4ca3354e3a36}}, a multilingual version of RoBERTa {{cite:88034746e8fc21d4a7b0b277c3990be164a32306}}, within the Hugging Face Transformers framework.
Similar to BERT, it was adapted for the NER task, by reinitializing the output layer a... | m | 393cceb4f3ec6e3b0f10e9fa6960b8a4 |
Opposed to the behavior during training, we do not randomly sample from the probability distribution of the actor during deployment. We instead take the mean of the distribution for the continuous case and the mode for the discrete one. This is reasonable and best practice {{cite:0d4aad5b1ae6fd28d1c98c9b04af0d5b309399b... | r | 9f1dc8155ea981cddfec49427b69b6c9 |
In this section we will show there is no {{formula:e7d69686-7ea3-4368-a723-55896f0fe551}} -size estimator with {{formula:03d0b49b-1a05-4251-b573-a0a9b9dd59b0}} that can achieve the minimax rate when estimating {{formula:ddae052b-1376-4543-88be-dbdc9f8075e4}} . We first recall the metric entropy of a Sobolev ellipsoid ... | d | 7dbff015502b5442e242b17c1dec2e2f |
({{formula:182c4715-420d-470c-8a18-46cd8aa09da4}} ) that indicates when the group intersection {{formula:f5680e91-14bc-401b-b6c7-549350bdb8cb}} is faulty.
Building upon these new abstractions, we identify the weakest failure detector for genuine atomic multicast and also for several key variations of this problem.
Our... | d | 16ea0cae2dd11e2009dc7f447cad0d43 |
Generalization.
The generalizability and difficulty of datasets play a crucial role in
both training and assessing different algorithms {{cite:e07fa09d07dffd39016e9a86f9cf5529606ce4c9}}.
Hence, we study these aspects for existing COD datasets,
using the cross-dataset analysis method {{cite:1f0b38e4e67f81afda07161... | r | a94eff57d843dea2de4d624e9798cbb7 |
For ease of notation, distributions of the type {{formula:7d58a95c-be46-424f-a198-948a661c01cb}} are simplified to {{formula:193c882b-f9de-4dfb-b3b5-a7be91a24d77}} throughout the remainder of this paper. Since other metrics that promote diversity were able to give satisfying results with only the first two moments of... | m | 4bb73c3a9f78b79173ec55b7d620afaa |
Toward this goal, several methods have attempted to manipulate images with a text condition which conveys the desired style. Using pre-trained text-image embedding models,
these method usually deliver semantic information of text condition to the visual domain. However, these methods often have disadvantages in that se... | i | d951cbaab31f41d736dd975472e1300c |
For training purposes it is also essential to be able to generate the {{formula:dae47367-9068-4280-9aef-fa0cbdc82583}} matrix associated with a given density matrix {{formula:66ccafe8-4a24-4db6-b117-211b29b03f85}} .
This can be accomplished using the methods of {{cite:3977e0379b595fcb4bfdae778bcf395867b8d1e0}} given b... | r | 7a9b819181238fd80f734939a0753d2d |
This work presents a Python library for XAI enabling neural networks to solve and explain a categorical learning problem integrating elements from deep learning and logic.
Differently from vanilla neural architectures, these models can be directly interpreted by means of a set of FOL formulas. In order to implement suc... | i | db1cdfd0d4c31abbab0558a7965c5034 |
Metric-Measure Fields. We study metric-measure fields ({{formula:4dfb25cf-5fdb-4648-8488-f5335ba3510a}} -fields), that is, 1-Lipschitz functions {{formula:dc026dfe-6f83-4105-91eb-d32b500d2c3f}} between Polish spaces, where {{formula:ca981333-0ad1-40f8-ab6d-715d054b0a57}} is also equipped with a Borel probability meas... | r | 2c4ba732e396cb7e146f8a34dd9f1c87 |
To overcome the limitations of traditional methods, QSM reconstruction algorithms based on deep learning have been investigated.
Yoon et al. {{cite:35289318aeb4cfffd8b81b977f8caf614795dbf6}} and Bollman et al. {{cite:5a53d048c1f843c3dc22cd75c567c68f267da194}} proposed QSMnet and deepQSM, respectively, which are 3D U-ne... | m | ca299d39afe50fc2dcde08ccf7d12f1e |
Given the complexities that influence human mobility – heterogeneous distributions of population and services, transportation, geography, etc. – one would not expect urban commuting to obey universal patterns that can be explained by a simple microscopic model. This universality is likely due to mobility constraints th... | d | 3138581c11513952c6cadef8cf861fff |
Performance of the proposed methodology is illustrated through computational experiments on a 3.6 GHz Intel Core i7-4790 CPU with 32 GB RAM. Optimization tasks are solved using YALMIP and Gurobi {{cite:11c20ac86d7b90486cc7bfd14460d8c71f8dea38}}, {{cite:373f6ea2a5c88e0663b888f1950cce5392bdc1f1}}.
| r | 4cfd406bdbd849d39a1a2414c9442a71 |
The obtained value of current Hubble Parameter ({{formula:723521fd-c80c-4278-a86e-ce9c53558a4c}} ) differ for the two dataset, further contributing to the Hubble tension. The {{formula:ddcbea48-e62f-4a9b-9203-8467b218f143}} data supports lower values of {{formula:966d01f9-3542-429a-8a7b-b11a36fafb55}} which is in con... | d | b0a578142bf517f27feaf3582826dea2 |
GRB 170817A was 2 to 6 orders of magnitude less energetic than other GRB {{cite:d1ba3d50f1cb453945499d3d8a756fc61854138f}}; the low luminosity of this source, together with the evolution of the X-ray and radio light curve {{cite:271fe6b7ff3e8966ebea367db2af1b089397a5cf}}, {{cite:f6165deffb960b3e1b481d0408c667222e701d07... | i | 48a2a582fb026b19ead2a2c4981b07d4 |
In Section we compare our results for ALUE with earlier results about a chiral ensemble in {{cite:2739372d03b15fbd7e0d1e1f063fff54dcc0eae0}}, {{cite:42366c44f1fb8491523699b420c46d963bd94467}}. We also relate our results with some other point fields appearing in {{cite:7e58f403af8a3ddba9d943e8218814a6111e94c6}}, {{cite... | r | 1fe805502965ee54475109fd187c7fb1 |
Lie superalgebras have applications in many areas of Mathematics and Theoretical Physics as they can be used to describe supersymmetry. Kac {{cite:cb84e009970eae4a22cb817524bbbea7357c09dd}} gives a comprehensive description of the mathematical theory of Lie superalgebras, and establishes the classification of all finit... | i | 3eda3a440839872f6b176c1f6a493c17 |
Three decades after the concept had been proposed, weak value amplification (WVA){{cite:d7779e3eeae2b9078d4c71af14a5e9beaa8ac05b}} has recently become a useful technique for optical metrology{{cite:b1d4bc9d52a9e2909fd6280a78877a4e5b3f05ac}}, {{cite:2638d4435a6df3a64b5c39eeb3dc3412612b95ac}}, {{cite:2ae5ee0ea2d5e3373974... | i | 9947b238af78a669c195983fb91eb841 |
Table REF summarizes the accuracy results of the proposed
framework on ETH-80 database. In order to perform a direct
comparison with the methods employed in {{cite:26e1686d8380705913b1da0bc5c4a6ce77b5dfb5}}, the
same setup is adopted. Precisely, the same 6 categories
(apples, cars, cows, cups,
horses, and tomatoes) ar... | d | 780987e20ff1e87f1cb4a2367a9dc9f0 |
The first experiment considers OMP, BP ({{cite:879ab749d7085a797b0ab824f19645bba01e70d9}}), and Compressive Sampling Matching Pursuit (CoSaMP, {{cite:564854cd1a6ca323c5b15b542469070fa94df246}}) as baseline algorithms. Results show that a few (five) iterations of LiRE increases and never decreases the average percentag... | i | 048ec95cbe2667c82dbf3f64e040b37b |
Our proof of Proposition REF is closely in line with the proof of Proposition 4.1 of {{cite:d3c6540e9698c53d208f4a51262fc67b0f95a6a8}}. It will use a Laplace transform formula for {{formula:6b39f420-883e-4cc3-9392-bfe4a5feec88}} proved in {{cite:6b9d6bfd2a62a67f638e7023e5d2205540558aec}}. It connects {{formula:9e5cc3... | r | ed66b39375d7fac800bf789ab64e6ce6 |
This section presents the implementation details and compares our method with the state-of-the-art frameworks on benchmark datasets for various tasks, including ShapeNet Parts (object part segmentation) {{cite:56d03801c5d79a52ddd7988fea472fb77bfae16f}}, S3DIS (indoor scene segmentation) {{cite:edab05cd6f1b05f00010f2afc... | r | a998e6c2bf02e2227eb12baf8470e0e4 |
We employ our transformation on several datasets of different vision tasks to validate its advantages and generalization ability.
The implementation of knowledge distillation methods are from their source code except FitNets{{cite:5bacb1b42c3b4705554e603b9e12c7752cef914b}}, and we reproduced FitNets for comparison.
{{t... | m | e65962c7e174176d03eeb2e7e2b9f9ed |
Random projection dynamics. There is a general consensus that the ESN model operates closes to the optimal situation when the projection is close to the edge of chaos {{cite:28e6b760ac759a58c2cc34b1c2adc2c6f66a9816}}, {{cite:a506c125966ab15a9bfd2d045f7828944b216956}}, {{cite:92989e01ad2cd94df2a7b349a7ec5724da9376a0}}.... | d | 1f8a3d41dc82d5c305978e6e3c4f8acf |
The statistics of the radiation field, or photon statistics, begun with the seminal paper by Hanbury-Brown and Twiss for stellar size measurements {{cite:4fd19dc7adf5a71d492e9f931971d1c5ee73be7b}}, {{cite:8b3185c75f492a42cf430eab9a0d2ac0e16fdfb7}}, has evolved to become one of the pillars of physics {{cite:1aa27b2b447c... | i | c18bbdea14f28ae0509a97e8cc034e03 |
We obtain the noise bound with the AC1 by using its implicit solution. Consider that each weight update round is {{formula:2e43647c-4224-4bc7-ba82-8a226ba55004}} LDP that results in {{formula:85d2c665-ca06-41a0-9533-29092a273747}} LDP after {{formula:e69b5a5b-ae33-4a78-b329-762c34020ee5}} iterations, which satisfies {... | m | 92e8b6ad47de9e830669a36caf36f870 |
Second, in most existing works, terrestrial IRS is usually deployed at fixed locations such as hotspot or cell edge to enhance the communication performance of its nearby users only. Moreover, for the IRS coated on facades of buildings, its coverage is further reduced by half which is effective for the users residing i... | i | b61c48deaa1d2d08ffc8c58f4ee234dc |
Followed by the backbone, the feature map will be fed into two branches. The first one performs Horizontal Pyramid Pooling (HPP){{cite:d887dd7404f03737b249b45370ffca78576c16e9}} on the feature map and the Horizontal Pyramid Mapping (HPM) {{formula:9e598ca5-92b7-474a-b001-e8f707d1c7bb}} will be obtained where {{formula... | m | 08c8824f92a497fb15ed335c536c2e54 |
We explore the copyspace problem utilizing frameworks for object detection {{cite:cf38745a6e4458a15839dc313cdebfe0e8a67ced}}, {{cite:50d7b32239b728b09a6a146b160bca1aea771b7d}}, {{cite:cb007ad68f366c012bd2b33f240777304ea51a8f}}. The Yolov5 Github repository is cited in lieu of corresponding publication in arxiv.org, a c... | m | 46f7de7bfbd3ab8d2677fd1471cac8ca |
Our 3.5–4.5 PEARLS IGL values are {{formula:4a3789a8-00d5-41d3-95f8-f071fe8c00b5}} 40–50% below the direct EBL
constraints in Figures REF from MAGIC {{cite:1d8d13ba62b5e6d9cc534fcf767c75ef677a1c3d}}, {{cite:98157a2e923f44baaa246686f66daae8993b0652}}, {{cite:e2ae2c23a0fc476d57aa67ef948d59cebf17d4ea}}, which are estima... | d | 965c8e35627679e310f4e2f4d3c4b68e |
The skewed distribution of the data further entices the use of a two-step approach as implemented by {{cite:cafa0ffdea0fb9f319eecc510c0be034d6117a8e}}. This approach suggests making a classifier to filter the “commenting" and non-“commenting" class labels, and then use another classifier on the minority class labels. T... | d | f478ed0d78118ed96ed2c13013e70b28 |
First, let {{formula:bfa05c5c-aec5-4fda-afee-b2a57f17761b}} be even. Hence {{formula:fdac0e78-1571-4087-a172-f46b751b129b}} , by Theorem REF and {{cite:49964771c01e876833b88764188f86ce9c04424e}}. Since each color class contains at most {{formula:9ad7bb5e-de79-4f5e-8ca9-eeb99fa4840a}} edges, we can color at most {{fo... | r | 34fb46b55226de86e8b66abe8d7ceb4e |
The DEtection Transformer (DETR) {{cite:1b0da93f78278465896052a54310aec2ecd29dc0}} uses a transformer encoder-decoder architecture, wherein the self-attention provided by the transformer removes duplicate predictions. Spatial position encoding is added to the feature maps obtained from the ResNet50 backbone inside the ... | m | a07ab5232785fbb058eb133699f9a714 |
Figure REF shows the contribution to the gamma-ray flux received at Earth from the CR flux of SNR G57.2+0.8 and SGR J1935+2154 for the three spectral indices. The assumed gas distribution was the one from the Fermi-LAT collaboration {{cite:a5a1c4cd19cad40f59b1085d2ac7e71e0085bf7c}}. Observations of the diffusive TeV e... | r | 5e8912f03e99aa58dd0dff5543895a31 |
One is also recommended to {{cite:95941a31aaf878e1de561da7672fe2a6474d9180}}, {{cite:b5a9f17bda4a98d212b62ac7b573830d184592e6}}, {{cite:f61dd7b375f658e3e3691f594761174f1d144443}}, {{cite:c45998f640b04a6fe45cc64a7b9db13fbc02ae07}}, {{cite:9dda8ab4de6c50be392d0083a4001e51f5e56cc4}}, {{cite:186d4e7449a42bffd0b70d133ed2c29... | r | 65bc2dbcce084dea067b4e0396384dce |
Provide a generic SGG dataset class that supports both VG and OI datasets and is easily adaptable to customized SGG datasets. We have integrated evaluation metrics from official Open Images relationship detection challenge for OpenImages Visual relationship detection{{cite:02806bac081008461b198a84c912545563429d3e}}, a... | i | ec708b4261e18749280f191f5b1da36a |
The modeled triangular nanobeam photonic crystal cavities have high {{formula:4ff67bd7-7f90-4d78-aeaf-544ef466a535}} /{{formula:b4fceb4f-2ad7-4ddc-802d-df901b60cf48}} ratio with promising applications in high-speed and indistinguishable photon generation. For the same triangular geometry, altering of the lattice const... | d | 610ba07999a6dd9eb1a5078f7e5537bb |
for {{formula:97bd08a1-8467-4c48-b004-8f3f1041aeb3}} . Motivated by its central importance in random walk theory {{cite:1b9be70ec5ba8a5d11d1218d43175fa10a8c39a3}}, {{cite:54d450de9733fdde8c0d000eaf6161a90c76eba6}} and its applications to data smoothing algorithms {{cite:f3f5f06e3dc71fdff5253533e33df0dae0e360de}}, {{cit... | i | a3cb31c5b5d93cc3479df725b48bb342 |
In the QCD sum rules for the hidden-charm tetraquark and pentaquark molecule candidates, we usually choose the continuum threshold parameters as {{formula:e5d4dcac-c0a2-4e6d-b092-363eebd94ef0}} , just like in the QCD sum rules for the traditional mesons, again the {{formula:2868ffa0-4ed9-462e-a7eb-848f7e4f725c}} denot... | r | 4684d1ccd46ef1d3e006b6e980b3e36c |
Topological insulators (TIs) serve as an excellent bridge between traditional electronic bandstructure theory and a more modern approach including topological aspects. TIs emerge from a class of narrow-gap materials whose strong spin-orbit coupling leads to an inverted band structure and the formation of helical (i.e. ... | i | 9c55cb061ee2246185c569827aa3c139 |
In addition to the qualitative comparison, we also quantitatively compare to previous methods through computing the P2S, Chamfer-{{formula:08188120-c877-4a02-a899-4ee85ad9f773}} and IoU of results by different methods on the testing datasets of CAPE and Articulated. Table REF and Table REF demonstrate the mean value... | r | 0e21989110a0682b0aca41c49f49b153 |
In this section we state the interior regularity results used in the body of the paper. Even though the results are not new, we provide the proofs since the claims are adapted to our specific setting.
For overview of the theory of parabolic second order equations, we refer to {{cite:4aa48704e09a1653b9a391c92f2fb7961c65... | r | 920fcb4de0d94ea75335db11cdd119d0 |
Most current methods to train object detection systems assume strong supervision {{cite:f4f896b7ead257866a89c918e39fe64ce5f58087}}, {{cite:4906abbc97f35d8b2c0e3f962363ead73cb7523e}}, {{cite:b444eda5815ea84b0eca6ce433e93cb07ced0e01}}. Providing both the bounding boxes and their labels as annotations for each object, sti... | i | 2120fa94a4b0a0646b9de1c47e4c75bb |
where {{formula:b9780992-1e74-4356-a8da-ca674a2f82bb}} is the iteration number.
Note that the update of {{formula:5661b5b3-bbfc-4da3-aa76-f54b3919ff23}} is a gradient ascent on {{formula:dc5b0bfb-5eeb-41b0-86b6-89d2250eb5dc}} with stepsize {{formula:ec3b5465-0421-4646-992b-b7a7878d100e}} . Eckstein and Bertsekas {{... | m | 3704c2eee77c8fc8a2f6368856aa3ac4 |
CBC is not just a possible boundary condition for AdS/BCFT, it is actually
a very interesting class of boundary condition for a good reason.
At the quantum level, one hopes the boundary condition of gravity to be
elliptic so that
it leads to a well-defined perturbation theory of `quantum gravity'
{{cite:71f6914d1a1214b... | i | 4ea30d1e310cf4b8ea863f9abadfb197 |
We can also see in Table REF that the coverage probabilities for the multiple imputation approach offers a marked improvement over the alternatives. This is particularly apparent when we average across the 201 pointwise values of the ERF, although the coverage probabilities are still imperfect given the previously not... | r | ee89732ba46f5b193e02739932517032 |
Therefore, the well-known purely Jordanian twists {{formula:443be81f-4b47-4d4a-b437-eae9eae8f2fd}} and {{formula:af16ef29-2cb2-4557-a291-8233480c273b}} remain only unitary with respect to the conjugation
(REF ).
This situation can change, if we use the method proposed by S. Majid {{cite:c89d41cd4bbd7af533836d0b892cff... | d | 06742372c3744023ac2653c232f84bc5 |
In this work we use cycle number ({{formula:a671d416-fbd3-4967-87fd-2770fc12e4ad}} ), cell current ({{formula:006d4ad5-c876-45d2-b660-3a0f96def516}} ), cell terminal voltage ({{formula:da8ab583-ed25-4173-a61b-f7ec6b3fabe9}} ) and temperature as inputs. Although it’s typical to quote SoC as a degradation stress factor (... | r | b15a7915bebdf4723fadf5cc6c0f62e1 |
From Table REF , we can observe that under the similar amount of parameters and FLOPs, our FASeg consistently outperforms the SOTA methods. Specifically, FASeg with conditional {{formula:ba55d81b-f0fb-47a3-b607-36eabf5537f2}} achieves black48.3%, 49.6%, and 56.3% mIoU for single-scale testing and 49.3%, 51.3%, and 57.... | r | e787f900a92b5502ace03b0c2dbdfc85 |
The work can be considered as an extension of {{cite:742c0faa4feed361506d3c4e26b581acf990e5b5}} and {{cite:e5649b82e8a21081b99cd9aebfd84803eb32ba8e}},
where the authors found that the density weighting scheme can significantly
increase the amount of statistical information of the standard two point analysis.
We show th... | d | d56eaec1b8e7c24aa7b886fa40215608 |
The loss function should be differentiable for effective backpropagation with gradient descent {{cite:764cc639e612f61f196bc4df9ae76c4483e8e388}}.
The trade-off between model genralisability (small batch size, {{cite:280c5e2473d586cd227d772244a5577e7b92bcb5}}) and output distribution evaluation precision (large batch ... | m | fcdf3c992b0dc912be401c77330c629c |
where {{formula:3a057430-7a3d-441f-9488-8bbd78a0fe2e}} represents Meijer G-function {{cite:7faeb959e07908a43148ffac03045ff1ee2c0c9c}} and {{formula:b5ec4936-857c-4d69-a4a0-47c549af8bdd}} .
| m | 1d631aed19f9ee0bf51491e4c06920ba |
For the 2D experiments, we split the dataset into training and testing sets including 5 subjects each. Each image frame in the sequence is treated as an individual image, yielding a total of 150 images per set. Note that typically, a portion of training data is treated as a validation set utilised for early-stopping {{... | m | d8acd1ebd1726be8de5d1795aebdb8bc |
Our results with DeepSNR demonstrate, for the first time, the feasibility of using ML to enable the potential discovery of previously unobserved GW signals in offline detection pipelines in experiments at LIGO. It must be cautioned, however, that DeepSNR is only a foundation for a fully MF-free offline GW-detection pip... | d | b90a1b4730595915d119558dd782656c |
First, we consider the reference SPGE propagation model and the source parameters which best describes the energy spectrum and {{formula:32b5a488-d480-4b44-ad85-f8b75e9827c9}} distributions measured by the Pierre Auger Observatory under LI assumption for that scenario: {{formula:3c4ea279-f640-4173-a595-cef222b9defc}} ... | r | fce2ec0829514340e95d860f8a6215e4 |
Recently, several works {{cite:5b52f83c420b163c7d08b5d128a9626cbe40a7e1}}, {{cite:d0f7b1e4893ae66967707b7075221d1fa5c91800}}, {{cite:4b354e5d01e59c4eb88f765e7136ee6eed9b0370}} have focused on hardware friendly quantization schemes.
Namely, that their quantizers are uniform, symmetric and with power-of-two thresholds.
S... | i | 0c6987b28abcbcda8a4107794a5a58bb |
There are no primordial binaries in our models.
Observations have shown that massive stars in open clusters are most likely all in multiple systems {{cite:b95e997c7b24785b531dc55e641cda0c3a948d0b}}, {{cite:715679f97ccf30ef53e597b2e61acaf7d63e7024}}, {{cite:25459d2c5f0f63b81e88c5df8cf9cac39330ae24}}.
The dynamical inter... | d | b8bbdcdd625bd8ca8dd541796efcc9ab |
{{cite:b89625f3a3dd36b4914af173315fc6ecce2b2c26}} The proposed method: CROPTD Compared to: Faster R-CNN, DA Faster R-CNN and Strong-Weak ResNet-101 {{cite:1ae4ed72926986e4b5142deb4b1df4cd2ce0bf3f}} QuickBird, Google Earth: satellite imagery P : 90.06%, R: 90.87%, F1-score: 90.35% Detection of oil palm
| r | 5dfee08b80eb411f6d6168b50f481ac7 |
Unlike (REF ), the left-hand side of (REF ) will not be zero even if the random variables {{formula:c686e3da-5f23-47f0-9255-4a5264be6fd8}} are
Gaussian, as long as {{formula:d87e7ad4-1845-4a28-9c57-e199557d8b47}} is rich enough to capture the infinite-dimensional nature of the problem. In fact, for certain {{formula:... | i | 6f653085b6ae2a144b74ddd589764e13 |
Let {{formula:3532feec-3216-452a-9a42-b2c19bdd4c10}} be the family of quadratic vector fields given in {{formula:1e1b8afd-71d9-4481-a361-6bfe4565d210}} and consider the period function of the center at the origin. Then the following assertions are true:
{{formula:ce5c83ee-a91b-4695-84cb-5ecd776df675}} for {{formula... | i | d9ba276f7c821fd2ca0baf7f4233195f |
Lipschitz assumption: In contrast to non-private heterogeneous FL analyses such as {{cite:4cc0e91203e1928a647bed9fe459adf2493a8947}}, {{cite:0a6b725e62378561ef39eff6ddefaf5c366590ec}}, {{cite:2705b346a16f11e93fcba46857b06761e25108f7}}, our excess risk bounds in thm: MB SGD excess risk (and throughout this paper) requir... | d | 8a6ca256feb2ca4ee13a6f095581437a |
Many quantum algorithms for simulating quantum chemistry rely on second quantization. In particular, algorithms for the electronic structure problem using a second-quantized representation are widely studied as a near-term application of quantum computers {{cite:b0ea89da83e75ca34b22313eac52dec59d340b40}}. Work on this ... | i | 1e63e88399169df0aa7c7b4c3e10d87a |
We begin by providing the necessary notation used in the paper, followed by a summary of a few of the major non-linear models for scalar-on-function regression before describing our methodology. Suppose we have {{formula:c0856620-ef68-42bc-8ee9-e5b914773d06}} subjects observed over a compact time interval {{formula:57... | m | 3ea2b4cd5158315df7386bf5e1552692 |
Moreover, we can observe different results between the grid-based and
the archive-based container variants considering the novelty
score. This difference is likely to originate from the fact that the
novelty score is computed differently in these two container types. Indeed, while in the archive-based container the nov... | r | 2ffe0ce339b84cc32c382acb27b1781d |
In Tables REF and REF , we compare MCAN{{formula:1505f7a9-0202-488e-9e32-58a3918b6345}} and UNITER{{formula:24128807-e163-4173-974e-9dc9fdbf535e}} to the state-of-the-art VQA methods on VQA-v2 and GQA, respectively. For MCAN{{formula:98f30398-866c-4298-bb85-b1e0ab6d8e7e}} , the compared methods include UpDn {{cite:0... | r | 3801325c8f6c6acc612ac63fb3da6123 |
The spin-polarized DFT calculations were performed using the projector augmented wave method implemented in the Vienna ab initio simulation package (VASP) {{cite:cedd9f1466dd536f7a691fdc0e0c8c820994a2dc}}, {{cite:8cbbe75fc4242bf10ec69a6909ecf10e96277045}}. For the exchange-correlation potential, generalized gradient ap... | m | 5808b35637f77f585e634e347751ae5f |
Recently, the application of deep learning (DL) to physical layer problems shows promising results mainly when there is a lack of appropriate mathematical models, i.e., model deficit, or a lack of low complexity algorithms, i.e., algorithm deficit {{cite:b66d6abdee880d5bf9536017fca252b57e2ab114}}. Given the fast develo... | i | f1e5e1badd0ab197065da80acdd39b72 |
We follow the same implementation details in Section in the main paper. We test the proposed algorithm on the dataset CIFAR10 {{cite:79316d4b814fc1f067a0eac7c641f58a5be8131e}} and the VGG19 network {{cite:cd0ff357af1f4df7697f3d1ec9d5fdb7263d6d08}}. The results are plotted in Fig REF . From the results, it can be shown... | r | 64c0d939edca41c4440a1efc9ea529ff |
We tokenize the captions and utilize Bert {{cite:83c6cf587e0468378c181ac0229fc922a9a2e182}} to extract its word embeddings. Then the word embeddings are fed into the LSTM network. As a network transformation, a linear layer is connected to the LSTM layer. The output of the network is {{formula:b21bafca-cc80-4db8-a171-4... | m | b4ed82785ad8b36be81fc4be6f287342 |
When {{formula:386106e9-98e3-4b56-b8c7-db3ffca0d362}} , Liouville type theorems on {{formula:36a247fc-4e96-49ec-962d-f59908d35b54}}
for the {{formula:a910dc2b-47f5-4ebc-abe3-058f95bddc99}} -Yamabe equations have been established. A powerful
analytic device is the moving plane/sphere method. Let {{formula:a9ee9bd2-bed4... | i | fb91f638c6cf4d1078884ebc805f917e |
Stability conditions on triangulated categories were introduced by Bridgeland in {{cite:7e30a904daeabc0ab12dbb66f72a70fc465dc41b}}.
A remarkable feature of Bridgeland's construction is that the set {{formula:f35146ba-6d54-4048-9c05-a5e759ba2f38}} of all stability conditions admits a natural topology, and is in fact en... | i | f74dad9bcb36f5690e1d505e2f4a839a |
There exist other extended statistic besides Tsallis proposal.
For example, a largely used statistics is that introduced by
Kaniadakis, which comes from relativistic
corrections to the Boltzmann theory {{cite:4d9a7fb8a5410791e2c49e720d270017be00efc2}}.
It would be interesting to explore how modified Friedmann equations... | d | f2a96ba5d7dd73f142b2833cef5a6ad0 |
A recently popular approach to deep representation learning has been to learn disentangled features. Whilst not rigorously defined, the general methodology has been to use deep generative models such as VAEs {{cite:8adcd0d8ba30c6c42f457f98c7eac857545fd2b2}}, {{cite:ffdf8707c5198236172af2aa06806789ac458f56}} to estimate... | i | e5d0f7a8979ca26526e911de8403bba0 |
Directly involving users in the collection of a dataset intended to drive ML research does present some challenges.
It can be difficult to reach the scale of web-scraped datasets {{cite:7827a5b70e0a0adedddff80e1793eae832fffb19}}, {{cite:dd7d3d89de032562df470133a333244fdf7ab012}}, {{cite:c681470bb6b6fe478be1e08053a83720... | d | a11882c1d184fc929f5e31db0aa6b25e |
The size parameters {{formula:1831f2ce-d021-4340-8589-878026704b7c}} are set to be a geometric progression form {{cite:93ea06d07569308b87260394de575ddcad7a921d}}
{{formula:64daf68b-b720-4061-8642-cbf6041bc682}}
| m | e73449186ccfae4c398a463f5ca55692 |
Data engineering pipelines are used pervasively in both industry and academia, and dataframe serves as a key component in the practice.
As the scale of data increases, distributed runtime libraries, such as Dask {{cite:4ff320556c0d5dafd2c0c335387c826840c36efa}} and Ray {{cite:9c88f5032610ac579c66deef09d7e1512b56c5df}},... | i | 57972c3f7d9facc0ff34f7236b56979e |
The origin of tiny neutrino mass and the existence of particle dark matter (DM) are the two concrete pieces of evidence for new physics beyond the standard model. Appealing pathways that connected these two parts together have been extensively studied in
Refs. {{cite:66e4c5fb844e85224596c5c7aa327bbc4436f3bc}}, {{cite:b... | i | db9e2768fac7b9e0cc364daf62ad8772 |
Other approaches decompose the primary task of the GAN into separate, domain-specific tasks performed sequentially {{cite:cf7f2f04a8b61f3a2ca7f2715f9855b262bd8b62}}, {{cite:cdcf40178a1f1c4df5e77fa3a6fb381695d21bab}}, {{cite:4b3ec02e7e3090360517ae2f88a09f03763c482e}}. All of these have focused on image domains.
| d | 42c7ad48101474f8d62456197643d3f8 |
LSR and Flooding do not enjoy the implicit bias property because their optima are finitely located. By themselves, they have to mainly rely on the noise associated with minibatch stochasticity for reaching points of good generalization.It is worth noting that Szegedy et al {{cite:a883ffe2ccf8f9042d9a81b40e7d8a7f194c9fb... | m | 146e20353a4ef7ce200f27494ee301af |
where {{formula:31acca26-167e-4196-9deb-8a47f306e07d}} is the Q-value for the trajectory {{formula:1ab75f0b-27a5-449f-ab76-bf96e64e779a}} , and policy {{formula:1a6c7f5e-d165-4ca5-9b09-024bce39ad44}} . Throughout the training, the PG agent estimates the probability of selecting each action and chooses actions by rando... | m | 6bccc77f7288fd9ddba6d954cc224cdf |
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 |
In this section, we first briefly revisit DARTS {{cite:98f7c5d4a5c52e674e9e3e7dec3d0afecee3b726}}, and then describe details of the proposed methods including three key components.
| m | 0dfbe543f844263608f37974f943e251 |
In this Section, we perform the comparative assessment of our approach. To this end, we use PHOENIX 2014T dataset {{cite:93ef96822f9768074993dc714cf40490aa7037b1}}; this constitutes the most used benchmark in the recent literature. Hence, this benchmark selection allows for optimal and full comparability of our results... | r | e9ec34a519f00309e54f938208b414e5 |
Regrettably, minimizing bias is not
the only key aspect to be considered: maximal matching can lead to the pruning of patients, thus possibly ignoring relevant information contained in the dataset. As these matchings are usually not unique, there can be a high variance in information in between matchings and thus concl... | i | b35a7abf92dd83c68d84c88a3f8f0028 |
In this work, we employ adversarial domain adaptation to extract domain invariant features from the source and target domains. The architecture of a DANN {{cite:6d904f920d206eef7109b588dfb9a7528e71702d}} is shown in Figure REF .
The architecture consists of three networks: feature extractor to extract features from the... | m | bb6467cce31ea3912a190744627307a7 |
We prefer to interpret the massive neutral gauge boson as
the massive photon. This makes the non-Abelian superconductor
more like ordinary superconductors. Moreover, in this case
we can interpret the ferromagnetism in ferromagnetic
superconductors as an evidence of the long range interaction
generated by the massless m... | d | 134a6ccc9dbc77c81a838265158b96b6 |
Semiclassical transport theory based on the Boltzmann equation predicts Kohler's rule {{formula:c8a9f9e4-b205-4d4e-942b-64a720c7a025}} (0) = {{formula:2dba1808-2302-44f0-ab35-db18f6ab245c}} to hold if there is a single type of charge carrier and scattering time in a metal.{{cite:1914aa167abea5ce6aa6d80a4f6c2b1c572de7c... | r | 0599996f20221fd235ebbcfc727a35af |
We suspect that the classical radius is primarily due to screening of the charge by virtual particles from the quantum vacuum. If it were possible to see near Planck length via scattering of some kind after breaking through the screening effect, one would see the radius near Planck length. The screening effect of inter... | d | 85e1056a0a40a64a444975c4221e7a07 |
Following the classical framework, described in {{cite:eb53a92f9028c222339a326cde7ae3720a447282}}, for each initial data {{formula:d3af7d5f-9a0b-411e-83c8-6821c26e3db3}} , we consider the MFG system in {{formula:ad25cf35-f811-4082-a558-3e5f16cfc545}} with a homogeneous Dirichlet conditions:
{{formula:f5cd8f00-411e-498... | r | cfe19fdea8319b6b6802ac0f4bfe9679 |
Among the gluon TMD PDFs, the so-called gluon Sivers function is regarded as one of the “golden measurements" at the future EIC {{cite:bd05b8fa76b9c30b078cb8fc9b414d0f145a9603}}. The gluon Sivers function encapsulates the quantum correlation between the gluon's transverse momentum inside the proton and the spin of the ... | i | 37a04ecaccf4a3660383d70f40c6fbf8 |
is an accurate local model of {{formula:8ad5517f-73fb-4095-adae-2fed6894d795}} for suitably small steps. Note that {{formula:fb3ba4a4-0ffa-48fe-b65d-278b36753974}} is not the usual, quadratic model of {{formula:1e09c6b0-5661-4cf1-8f04-4489c7dc95cb}} derived from a Taylor series because {{formula:3680c6cc-44b2-4544-a... | m | 74d98ba4cf3f9d2435554b54228d161e |
This principle has now been made quantitatively precise by a
bound on the extent to which the two natures could be simultaneously observed
{{cite:fb1493a582a55b24763dac1378e6c4f1aad7a433}}, {{cite:c3a1cc5133bf7dfd6eab989ba5bcbd7865ca4ca6}}. The extent to which one
can distinguish which of the two slits a particle passe... | i | 66cfa9896fd3453a6cc37ee2f9e47dd0 |
We also experimented with a version of VDTN in which the transformer network (Section REF ) was initialized from a GPT2-base model {{cite:2db53ca1e2691747ef93db01994eea254f15f4d2}} with a pretrained checkpoint released by HuggingFacehttps://huggingface.co/gpt2.
Aside from using BPE to encode text sequences to match GPT... | r | 7938136ac8913c999e4b139899657b91 |
While the first equality in the first formula of part (a) is a consequence of {{cite:e183518dddb6cd27f2eb0494c18b9b7fbbe1f302}}, the second equality follows from Euler's reflection formula {{formula:d7a55ad8-741e-435a-9514-d5e3c2f3fd04}} which holds true for any noninteger {{formula:9825265c-43a5-4a35-ada4-14d8905c9d5... | r | 5b15eed7a87b42bdfaadecd3e13538d1 |
As discussed in the Introduction, a variety of UV physics scenarios may give rise to unwanted defects or relics like monopoles, moduli, gravitino (see e.g. {{cite:307276311182a6484e56775e3fcc6d0096497064}}, {{cite:cc010bd7ca6fb685d87e2c0a27a4cb0199b02fc9}}, {{cite:a8ed84fefdd21a9df7b82d805ae72accc1b24b40}}, {{cite:eddd... | d | 48c7683ab42945511f75e9d3ecf90b4d |
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