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Table REF reports the comparison results.
Our method significantly surpasses both baselines under all the evaluation metrics on the SOBA-VID test set.
The IoU Tracker relies heavily on the quality of the detection results, whereas Mask2Former can only recognize objects of the same category as those in the training dat... | m | 2217d5935a6d7381fae3d4cfe3c257a1 |
A standard model for learning in the mammalian brain is CLS (Complementary Learning System) {{cite:f1bb7672622dd5be0846d38bfde648e94c68746c}}, {{cite:6eb4812cafd8e77716ed030ef177904de4d9ee31}}. In CLS, Neocortex and Hippocampal Formation (HF) comprise two complementary learning systems with bidirectional connections. N... | i | 1c476c9dd04b6e20169ca8411796e855 |
The setting for Out-of-Distribution Generalization has been defined {{cite:96b72768cd05903dbd603b6d33ed188362a866d6}} as follows. Data is collected from multiple environments and the source of each data point is known. An environment describes a set of conditions under which the data has been measured. One can for inst... | m | ae9018f747382118123443fbc6cdfd22 |
The use of Bayesian optimisation (BO) can alleviate the issue of high computational cost {{cite:09c69d79816d8dbece343119e4174f733ff0bc84}}, {{cite:40cc01c53d802fd6f456a1c563ceaa9ef77a31d8}}. The framework of BO is concluded in the sequential model-based algorithm {{cite:0569e27be26bb0009d8d83f03ecf2800705cb2db}} that i... | m | 4f5a6a2256bd604d993052fbd6650153 |
In fact, private schemes such as multi-party computation (MPC){{cite:8a57e6b6655c757acdcac9148f5110ce4bbc9a62}} and homomorphic encryption (HE) can enable provable privacy while handling users' data. However, the large overhead of computation and communication of these private methods are not practical for public use (... | i | abafe7f7186a0db521b94c0842aa1d57 |
Besides THUMOS14 and ActivityNet, we also evaluate the effect of end-to-end learning on HACS Segments {{cite:007676c36153ead2bb9e5ed52aa150f3e9afddd5}}. As can be observed in Tab. REF , end-to-end training improves the performance by 4.71% and 6.42% in terms of average mAP with TSM ResNet-18 and TSM ResNet-50, respecti... | r | 8d0f3c6caa6f57701d95f229272c8b3e |
The adversarial attack in ITS has been studied under the context of recognition tasks for traffic signs {{cite:56496b3fe4d18021ee562598adb3c76869d9bc30}} and licence plates {{cite:7bfd95a2617806d51a8fb97a4af77241025c79be}}, and control and coordination of the vehicle platoon {{cite:1265fe00772a5a560850a9fdd538302e06d5b... | i | 2878c4f1d80f1429d4b787d28ed36984 |
Different from most of existing works which only consider part of the BS-RIS-user association problem with an ideal RIS model, a more comprehensive and realistic practical RIS-assisted multi-cell network is modeled, in which we concern about the joint design of BS-RIS-user association, the active beamforming of BSs, a... | i | 0885a83cfc146daeb841964a8a953150 |
To attain a model-agnostic local FI measure it is possible to utilize a local surrogate model. For example, local surrogate model interpretable model-Agnostic (LIME) {{cite:5af65ff9698d5a07557019caf2e18acc15e25146}} was proposed to attain a FI for a specific observation by training an interpretable model in the proximi... | m | a63650a7f6718a011bd8bc47aca34282 |
We tackle the challenging large-hole guided completion task where the goal is to complete whole objects or large parts of objects that could be arbitrarily located in a natural scene.
Different from methods {{cite:7687f8f25507ed5788feb01a9179de3a886a7cfa}}, {{cite:e24a90ec150d6d0ae5b0371f90facc7de3fe883e}}, {{cite:60ff... | i | 698e39afcfb0b709f5eaa97c1c7462ca |
Lemma 3.13 ({{cite:2013b719c7879d2a8a495ab37d0e0fc14f00c223}}, Lemma 3.7.10) Let {{formula:cd1e96a8-98dc-4973-ba77-f1d34e28fd88}} be a finite graph. Then
every vertex in {{formula:c73b9a62-4dd0-4489-b8ca-e295548f6d80}} connects to a sink or a no exit cycle or an extreme cycle.
| r | 4a6e689c260c6018efe807a4f992c93e |
With the advent of deep learning, medical image segmentation has drawn great attention and substantial research efforts in recent years. Traditional supervised training schemes coupled with large-scale annotated data can engender remarkable performance. However, training with massive high-quality annotated data is infe... | i | 7f0a1f5fb06ca002de62bc8bf0a8cd5d |
First, we recap the method of {{cite:1865069f80df0fb444997c9f3bb79210614a081b}}. Eigenvectors of the covariance matrix {{formula:7ae7e550-13f2-43ef-8f9b-0ee24b0c9a09}} can be interpreted as the best linear subspace approximation of {{formula:988760b9-5295-45ef-88f3-f076b6d89038}} because they minimize the squared res... | r | db2162205b0a28e977a05e7a781ad5a8 |
Transferability and discriminability are two key criteria that characterize the superiority of feature representations to enable domain adaptation {{cite:12a7501ee9c88caff8df4c82bbd27b89df47250f}}, {{cite:fa636dc98e521341f7d319771d7a43cae6e6598b}}, {{cite:9993968432a8c42b3c9214214357024fd609047b}}, {{cite:b7d68a5813001... | i | 856160903df8aa5a10a6e3f91883a6f0 |
Theorem 1 in Query2Box shows that any embedding-based method that retrieves entities using a distance-based method is not able to handle arbitrary disjunctive queries. To overcome this problem, they transformed the queries into its Disjunctive Normal Form (DNF). By doing so, the disjunction is placed at the end of the ... | d | b97005b9c58a123041606de2ec209c79 |
tab:mainresults shows results on the 5000 samples when performing defense against SOS attack. We first show CACC and ASR scores when no defense is applied, followed by the baseline ONION defense and our proposed defense methods. We use cosine similarity to estimate the level of similarity between transformed and origin... | r | 2516322738ed1766e5ac9ef5a34e2171 |
Note that in this paper, we consider a class of perturbations of the idealized equation (when {{formula:a46b1369-8a15-4bf8-913a-b0128506bbcd}} ). This is quite meaningful since, physical models are sometimes damped and hardly come with a pure power source term (see Whitham {{cite:0aced6d780788606bb9cb185e94f3c8a3dc02b6... | r | b1cdb19754030b7f6d5036a35801ea46 |
Spectrum Sharing:
In this technique, both communication and radar systems share the same spectrum when it is free from the other {{cite:75373b2fe02cb680e6570028901659db2cac5252}}, {{cite:f0015134b4f3b0f81a920b37bb03b3f4d4a912a9}}, {{cite:8050977b91c848137f58eb367d60184732f253c7}}, {{cite:f0015134b4f3b0f81a920b37bb03b3... | i | cbc56b19857c424aff648efcd7d231f4 |
The obtained results are shown in Tables REF to REF . The performance of the different approaches is evaluated using three well known indices of quality: the adjusted Rand index {{cite:d8c4959ca6c178a0254c4baadc06e86580e05802}}, the normalized mutual information {{cite:b0403073f017fa9de26091da2b1d15b520f083ec}} and th... | r | 4a7691ddeca531afc13ff3b8d78d0707 |
GWs detected by the LIGO and Virgo experiments {{cite:a547f2c195a1dc5fd8d57e8943f51175c3dfc821}}, {{cite:21bb41eef818d434b2c07ed77946bfabef04b000}} have been used to infer {{formula:61b7b910-c91f-4c16-925a-049a9a589d05}} using various approaches and data sets. A first approach {{cite:8b24b663158c5eea3c5829252e23f4805a... | i | c54362ad5062e4b2e2354975b52d01bb |
Comparing with Aug, Cndt shows statistically significant performance improvement in four test sets with long {{formula:598d6419-9c92-4af8-a57c-c67702e8b903}} (R055, R068, R077, R134) ({{formula:86675d8e-cd5d-4271-bf0e-711b87fed673}} {{formula:23b68bef-6f6e-4f78-8780-35f0876ebd1b}} 0.01). It suggests that the propose... | m | d49dd9a1871ce35097fc1b29cd798b22 |
The most established way to study these theories is through
holography. At large {{formula:0bfa20ef-9edb-4832-82f5-a1cf598e3aa6}} , the {{formula:509fac8f-3577-43f5-a4a4-f3561f710a65}} and {{formula:ca39aa15-d6b6-4aa0-93cb-a4b9807146ef}} {{formula:f80dce5c-008c-486a-a179-8e1862e3e511}} theories are
dual to 11d super... | i | 6fcc6af39a53bfe55ca51ef3318897d4 |
In this section, we compare our method with other representative ship detectors including RetinaNet-Rbb {{cite:5feacda39bb065494ca141cb06437b111a394015}} ROI-trans {{cite:e4ed085813c3b2db6c7a181a42905864ab37601d}}https://github.com/dingjiansw101/AerialDetection/, R{{formula:fec22c6f-6258-4834-9830-7d6abe92b4f4}} CNN {{... | m | 3122b83b80f685caf3880fa952dab9ed |
[noitemsep,topsep=8pt,itemsep=4pt,partopsep=4pt, parsep=4pt]
We provide a review for state-of-the-art ae detection methods and categorize them with respect to the knowledge of adversarial attacks and with respect to the technique that is used to distinguish clean and adversarial inputs.
We provide the first experimen... | i | 41b25d753c149c75f5a253790e1d62ff |
A natural way to discover data properties is to study the underlying probability density function (pdf). Parametric and non-parametric models {{cite:5255831ff0b1b8d34d23cd39105f9df67e34604b}} are viable solutions for density estimation problems that deal with low-dimensional data. The former are typically used when a p... | i | 10cd69ff013b0d2e5f69273dc324c387 |
Now, we can minimize the two-body energy Eq.(REF ), with
respect to the variations in the function {{formula:47ff1978-4ccc-478a-b84b-db690ce95c47}} but
subject to the normalization constraint {{cite:cfedd06ce53295c8820fc86bfdd7a9a45b8bc1dc}},
{{formula:122e6518-fe09-4ca9-ade1-c46e6f16a77e}}
| m | 12238dd2fb495059e8edcdcf42a8e1d0 |
We consider boundary conditions with {{formula:b8930376-1c3f-44ff-909e-abb4e5d53286}} , {{formula:8c0ef901-ac63-49f7-a876-e6d056bc68fc}} and recall that Ising symmetry implies {{formula:8e5197ec-15b4-4fe0-8445-6864592684bb}} . The spontaneous magnetization {{formula:ae7e40eb-dbb8-409a-abbd-cbf41db24d54}} is given by ... | r | a1693a692cede869d11014f45de30199 |
Theorems REF and REF involve reductions from the Positive Not All Equal SAT (Positive NAE-SAT) problem where given a formula {{formula:a2e6a984-ca14-4f0b-a5bf-b85c475cac65}} in conjunctive normal form with no negative literals, the objective is to determine if there is an assignment of True or False to each of the v... | i | 4170370bc68cff7c538ad0c219d5ce99 |
While imitation learning (IL) is a powerful paradigm for skill learning, popular approaches such as Generative Adversarial Imitation Learning (GAIL) {{cite:afd5621a38b7a953973400579f1bd3dd1ec091fa}} and Inverse Reinforcement Learning {{cite:0092de41585e2bad5db6b8fb094ee7f156e32b12}} require large amounts of data. Impro... | i | 0c027f0694febc5a56997fabb73c3eba |
Denote {{formula:2aa0d9c5-e5e8-4160-8700-1c2509a67155}} . Before giving the main result of this paper, it is convenient to list the following concept similar to that in continuous-time setting {{cite:e4f7d0859a8c391c61707998c560b0d15b5d87d1}}.
| r | 6bb60db94f9633d49852fdc9114134b9 |
A rigorous treatment of the case with continuous parameters would be worthwhile, as would more analysis of continuous or high-dimensional data where summary statistics are commonly used {{cite:1a5fefc060ed96e94b412b66223065244921b080}}.
There are open questions both in how to choose and sample from an optimized distrib... | d | e67f5d32acad8ede41780646db8d52e8 |
A particularly interesting direction of the contextual bandit problem is the linear contextual bandit problem, where the expected reward is a linear function of the features {{cite:ccd66cb20d3a7f92e365953327444129525500a6}}, {{cite:c44905fbac5fd89f8ed2e0c2b5e6a4ebfd1419ae}}. Under this setting, {{cite:a5b6d9c9b3355df1c... | i | 058d6974a82ebd275e22e3a4362d0123 |
Besides, some works have shown that the effect of FL is also related to encryption algorithms {{cite:c3e9859b7c1df5b4b4871894f1836f833e06bd5b}}, {{cite:69282941dc5c17b6c62a01135bad6e768998e42b}}, {{cite:bcd9321d5a3c511188c243fdce285ce241aaa6c6}}, {{cite:18573778f79dab575426c7ee7f1352f7063bab2a}}, {{cite:a5f052d8ce6abf1... | d | 4d4e663416739b069c0dc0b031ba9abe |
As mentioned in {{cite:2c41f3e4d139c8947b5ece79eb0041ba0c1ad5df}}, a possible reason for including reject options is to obtain classifiers that are more reliable but also less expensive to use. In our case study of Section , for instance, a possible option is to consult an expert who would be able to identify the bird ... | d | 28153ab59ea48bcd89b5031e49f4b274 |
Given a color image of a face {{formula:231e431b-7dde-4e2b-89bb-45c97f247f89}} , our goal is to remove all the wrinkles present in {{formula:0527ff08-96f0-477a-b177-6fc95de8ad40}} while preserving photorealism. Ideally, we should only modify the facial areas with wrinkles and, at the same time, the modified regions sh... | m | 8a03b734605ff2d904baf29e3353509c |
As the number of peers increases, the probability of failure peers occurrence will also increase. In Fig. 3 {{cite:f252777f0b173439e07aaa1fcaa7ed831cb8a048}}, the mean latency to consensus increases with the augment of the number of peers. This is similar to what our model (7) shows.
| r | e0ad233cffee6a17838865a71fcdcea8 |
Chartrand et. al. asked if there existed a function {{formula:6722d9bf-359a-4807-8166-1fd45889f6d2}} such that for all {{formula:dc7c1b46-ec8c-4b42-a9e7-e6e984bc64b4}} with {{formula:d56d4d9a-936a-434f-b1b6-4f6a74efacac}} , we have {{formula:1f9af10d-21ad-4eb9-8612-4a85aa4c2198}} {{cite:84c0501454465abdc3f24f25db23c... | i | eb0e4cab231fda2ea9fce393a0f87a62 |
Causal dependence between infection outcomes is a major obstacle to identification of meaningful treatment effects in infectious disease epidemiology {{cite:c480d49466d85f1ce54f6275861d2f57f12aa03e}}, {{cite:c8b6145c0030c280a80cd75df53ead03191eddca}}, {{cite:75f0783d35518a0fc6315889f8b85a6d4edde442}}, {{cite:8b1566c32a... | d | d816dad98d223fcf915e762c74fd6354 |
Instead of operating on the original evaluations {{formula:46948af5-fe9b-4513-9c73-3259bfc008c6}} of response curves {{formula:f58c9648-34e3-43ac-8404-f1db6b2fd489}} as in all applications above, another frequently used approach expands {{formula:d8f4784b-5219-4272-bd5a-1d5bbd6d8657}} , {{formula:0021c0a9-b38e-4dbb-b... | d | 2811e778c4e97a46d65260cf6441dae1 |
In addition to prediction accuracy, the prediction time of an ML model is a part of the total solving time, which should also be considered for developing efficient solution methods. Figure REF shows the increase of the prediction time when enlarging the problem size for the compared ML models. Comparing graph-based m... | r | 63cd57001d1b4b12dbcef69bf3a3b9db |
The feature activations of intermediate layers in a deep learning model are known to be excellent descriptors of the training data {{cite:e4ffa658dfbdfa91acb0d353008bb82257529dff}}. In this work we hypothesize that feature activations from a homogeneous set of training data (CXRs) have a specific distribution and that ... | m | 41bacc8b87c0eae249f487637f436354 |
We recall that in the decomposition atomic, we can always choose atoms with additional vanishing moments. This is, if {{formula:14deade4-d68e-4f6c-b010-b3c84ccb6515}} is any fixed integer with {{formula:2d24d3ac-8b50-47be-9ba5-d64a405ac28d}} , then in the definition of the space {{formula:2a4c9c79-a821-408a-9f2c-81388... | r | b716b625e7032f0f1e0eff23ff86cb95 |
The work by Rocha et al. {{cite:f4218d24aeed742a4ca6f87f250d453d9b09078f}} was among the first that attempted to derive a gradient-based strategy for active mapping of occupancy grids. The authors proposed a gradient of map entropy with respect to the robot pose at a cell center via finite difference of entropy values ... | i | 3daa98fc3c296dfc19ab875a48ca857a |
The key idea of {{cite:8fe1f6cef67c162953fe98dbfb888d639991880c}} is to establish various differential inequalities for the local Dirichlet integral of a nontrivial solution and from that to estimate the growth rate of the local Dirichlet integral. This idea dates back to the so-called Saint–Venant's principle, which w... | i | 831123124e95fac2770c70da2de86cb7 |
Despite the benefits, there are key challenges that limit the applications of FL over wireless mobile networks {{cite:fd8dc330773b9f665fbc600e4254363a8f168d12}}, {{cite:81ffad2310eb550bb5aa1f79fa4de681bb378eec}}, {{cite:90ad41a725b5e7d97b0a663438ccc83db36f34a2}}, {{cite:0338211d9daae60fa3b1a832fde2f770377bb20e}}. To da... | i | 36a794851cba73611f05d36c823afb81 |
When reduced to the case of linear constraints, the proximal ALM suggested in {{cite:6ef101192bcdaaca8143f2e1d0b1d8d3ed68b26e}} is a special case of MEAL with {{formula:743101af-64ec-4727-9a35-abeda244ca3a}} , and the Lipschitz continuity of certain fundamental mapping at the origin {{cite:6ef101192bcdaaca8143f2e1d0b1d... | d | 6935d5a8f398e6167cafcbfc5f0eb3b9 |
Lastly, our results obtained in this study are non-trivial and against expectations.
The reason for “non-trivial” is that our result can be obtained through the highly complicated calculation as in section ,
field re-definitions and disentanglement of mode-mixings.
The reason for “against expectations” is that
supertra... | d | c531c3d482445ae86ccf1a0e65bc7ff4 |
2) Classifier Learning Stage.
After the learning of representation, we retrain the classifier with currently available data {{formula:9742fcff-6ea8-4253-a6ff-a56be589b62b}} at step {{formula:50942c6c-f5fd-4c07-a04c-f0e62e9b7eba}} to deal with the class imbalance problem via adopting the balanced finetuning method in ... | m | c9f23b320a8fb0746cc610cde1ca03e6 |
paragraph4
.5em plus1ex minus.2ex-.5emComparison with Fully-Supervised Transfer
We compare the performance of GroupViT with fully-supervised transfer to semantic segmentation. For fully-supervised transfer, we fine-tune a semantic segmentation head jointly with a pre-trained representation {{cite:6f248d2659bb45c4844936... | m | c91b4447af3da5214682113b62a5a9e5 |
The statement of Theorem REF equally holds for the imaginary part of {{formula:d5bb90b5-35ef-454b-97e6-8a7706ce0765}} , with the appropriate change to the leading order correctionIn this case, one would instead find that {{formula:172e8ad7-91bf-45a2-bd08-f3cf8d6bd71d}} , the leading coefficient of the {{formula:0ab4f4... | r | e2040a9bc7bb07a0132f035766da3371 |
We then invoked one such method, simultaneously constraining the tracer DF, the MW potential, and the LMC mass, using two complementary datasets of objects with 6d phase-space coordinates: globular clusters and satellite galaxies. We demonstrated that the method is able to recover the true potential in the presence of ... | d | 061458393c5d943608a52ce42d637de3 |
where {{formula:c08859b5-eaa4-4b55-825e-af82c63febb7}} and {{formula:aa74032f-cab9-452e-83cd-c13bd05bf725}} indices refer to {{formula:5e2add21-2baa-47cc-84e8-163cd1554c5b}} group symmetry. There is a universal bound for the conductivity that is {{formula:ab0cfcbd-9336-4078-baea-c089f830f017}} where {{formula:2a2ac... | i | 2f11088784a8cc33a261f96c808df398 |
The projected measurements and uncertainties are evaluated using Monte Carlo (MC) simulation. The MC simulation relies on a calculation similar to those described in Refs. {{cite:f72a5ee9576d00cd9ad0cf8f96c9af8d9229bd20}}, {{cite:90aa056d10514d9c19836f528a1c14d49b76b134}}. Both the {{formula:be22da79-dd5e-496d-a591-6ac... | r | 717808cb5bbf1afab7aa861a877220d2 |
For humans and many animals, interaction with the environment often involves the use of hands or feet. More intelligent species can even grasp and use tools to expand their range of the control over the environment {{cite:c2b81ccae43002e424c0ebbf95288dfded4f1429}}, {{cite:0cb3a8f7d3a00c3b4940ba76edc507ba6c30e8fd}}, {{c... | i | 67f374648463c90f839148eb71899dd5 |
Table REF reports the micro-averaged F1 scores of EIGNN and other popular baseline methods on PPI dataset. As we follow the exactly same setting used in {{cite:56b012a5f26a30941bfd9256d1d9c3dbc12b6926}}, the results of baselines are obtained from {{cite:56b012a5f26a30941bfd9256d1d9c3dbc12b6926}}. From Table REF , EIGN... | r | dc50e9146f9f7cab6a9303cfb490bd83 |
A number of theoretical models have been proposed in the recent times to study the nonlinear dynamics
of Deoxyribonucleic acid (DNA) molecule to understand the
conservation and transformation of genetic information (see for e.g {{cite:8949fcf2d81a8cfce578a5322363198add66876d}}, {{cite:f25716b2c6ab6477238c7fa243a6a2cd35... | i | f486d44b9a060304560b3da021d82991 |
Ever since the work of Witten {{cite:b4a24c736df4386e42b07e4db1f88f1feec70a2c}}, theories based on (or inspired by) massless twistors have made tremendous contributions to scattering amplitudes of massless particles. It is tempting to conjecture that
a similar degree of success with massive twistors is on the horizon.
| d | dbc7bf4143434a46b9ab8e5e0f9578a0 |
To evaluate the quality and intelligibility of the enhanced speech, short-time objective intelligibility (STOI) {{cite:3856a163ac53b0fa1449a861aaf21ad09d9d529f}}, log-spectral distance (LSD) {{cite:ba339f851742bda07ca417ed8af8f98365b57e32}}, and P.563 {{cite:455413be90fba6bb587c93c3d2ced342d7da8470}} are used for obje... | r | 953f163cd88cd8baaf5363fc8938e8f5 |
Given the resonant scattering nature of the Ly{{formula:dee4cd8c-f2b2-499f-b2a3-b9a53442ee31}} line, the emergent
profile is modified and suppressed by many physical effects, e.g. H i content, gas geometry and kinematics, and the dust content and
distribution. For instance, in an optically-thick static medium Ly{{form... | d | 7ac5b9716c776cbcfff01bca3a847fe4 |
From the results of our study, it would appear that {{formula:708f7748-c7ae-45e7-913d-4461c2dd5a6f}} evolves
significantly in the redshift interval {{formula:ee147086-129f-4117-a369-d1c4f0c2c1b1}} , but the precision
of our measurements should still be regarded as crude, particularly
taking into account the covariance... | d | 47b5cc20e58bcb904de0a8d3d91b0ffc |
Baselines. We compare our method to a strong set of baselines, including both two-stage (, G-TAD {{cite:28406126acbb1722ec9e5e06437981efd424f1ac}}, BC-GNN {{cite:200fdd98e629ca7ed3c8a91424249a162fc64ad3}}, TAL-MR {{cite:39d82c6c293988382ebc62921cff3c30f639f030}}) and single-stage (, A2Net {{cite:4fb55a6e0808126d2defb5f... | r | ec143362ba02e988a50df72b16f7a124 |
The results of the multilingual models can be seen in Table REF . The results are calculated using the classification_report method of Scikit-learn {{cite:970dfafcb7854a497cf10141c595b405e7dfd882}}. There is not a big difference between the multilingual BERT and XLMRoBERTa models. XLMRoBERTa seems to be slightly worse ... | r | 355faf122cca89ac411abf88ce10b007 |
Few-shot learning attempts to resolve this problem by training a model that classifies an unlabeled example based on a small labeled support set. Specifically, {{formula:0739d6dd-ff44-4916-9212-dab6130e840b}} -way {{formula:2dc93dce-0472-4406-a7e5-e4da857e9ab4}} -shot learning is the task of classifying an example, ter... | i | 7a389a802f274ba56a7cbcd92ed014cc |
In fact, pushing even further and extending our analysis to the multiphoton extreme of continuous-variable (CV) encoding {{cite:de9f505aee6a3d2ca0d5047c7bbd0f7815c1d532}}, {{cite:1134ae686866481d18b7181108a5e646dcb78ba0}}, {{cite:a7c270a7d4fb05dd0eb712265829bc6ed4b9d6ba}} should provide valuable opportunities for QFPs ... | d | 7effed0ec6f060a5e8d0725eee8c60c8 |
However, such detailed models are not feasible for very large reaction networks because of the high computational cost and unavailability of kinetic parameters.
Several other approaches have been proposed with the primary aim of capturing general and universal properties of biochemical reaction networks in self-replica... | i | fdf59c3ee3ab147727ea8eca3f8191da |
In {{cite:431af431cd24305662104bbfd3131b4ff9f15fe4}}, sperm head region of interest (SHROI) is producted from original sample. First, center of SHROI is locadetd at where mouse points on. After that, an Otsu adaptive threshold algorithm {{cite:6374881ab0fdc84894e992f9a6915adad9e751cc}} is employed for SHROI binarizatio... | m | 718a62d90fe6508fe10863f07e4653d0 |
The combination of local and global features through an ROI-GAN has thus provided a benefit. The rationale sought was to enable the global FCNN to learn the useful features through the help of the local FCNN, coordinating their training with a generative adversarial game and sharing parameters (i.e. a CoGAN). CoGANs we... | d | d06d56118954c0226cee3b56b45f434f |
Future work. We foresee the evolution of future research towards several directions. First, we predict that the community interest will grow towards the exploration of behavior forecasting in the frequency space. Many works have already stated their benefits for avoiding the freezing behavior in single human motion fo... | d | 30a0d4b6c39d37e2a4ab2c89ee69b339 |
Using training data in the source domain, we train parameters {{formula:b2370d90-4987-4324-bc39-e1bf1422e1ec}} and {{formula:b98ce520-2899-47b0-93aa-b086384468e5}} on a diverse set of domains.
Our intuition is that, by exposing the model to diverse (simulated) domains, we implicitly constrain the learnable calibratio... | m | 3abc978e43df6b705168f790115223d5 |
Arguably, for many species, their reproduction rate is often empirically estimated at densities which are away from the extinction threshold, where the Allee effect is not well-pronounced. As such, we suggest that in theoretical models the impact of the Allee effect on dynamics should be assessed via comparison with a ... | d | 547bd6dda92a6256af7d48f5323685d6 |
Pattern-matching methods {{cite:5cdda5c4b7b0da221376d20e515dc5ed4f4c25ad}}, {{cite:66f5f5255d054139dbff18abe05878087b59d99f}}, {{cite:9bffcef0e262753ec68f9ae91d72909ad7b9bc27}}, {{cite:d018c1812f799f354fbf3a1171d5339dd6c1f4d2}}, {{cite:9300257953b66e5e0b58158b57716f44792762f8}}, {{cite:24070d6b85db999a8ab34eec80f4366fe... | m | 1bcd3aa69649cbc4ddc68e9b0b2f28c7 |
We compare against the following PEFT methods, using a linear decay with warmup scheduler with a warm-up ratio of {{formula:bbc1e156-74ff-42ff-bf0d-84dfcd16f4b5}} and the Adafactor optimizer {{cite:c9be35e76e90d3f6f2c2a46ef5f911efce6e4882}}.
Table REF shows the full per-dataset results of all PEFT methods we consider... | r | bac1c51d80fccf75529f7529307977ab |
This paper provided an efficient solution to L1-regularized orthogonal sparse coding, displayed the orthogonal sparse coding basis functions, provided a sparse coding derivation for the forward transform of neural networks incorporating ReLU activation, extended the derivation to a complete convolutional neural network... | d | b44513631dd3ad63578a42b2038329a2 |
In Section , we deal with the NC curvature corrections to NC Minkowski spacetime parametrized by spherical polar coordinates. We have done both first order and second order noncommutative corrections to inverse metric tensor, Christoffel symbols, Riemann curvature tensor, Ricci tensor and curvature scalar in the twist-... | i | 47ec1cc42c1131a2c18550f39c0f8e36 |
Since 2013, a variety of experimental quantum optics groups have implemented proof-of-principle implementations based on different architectures, such as reconfigurable integrated photonic circuits {{cite:b500b4099a140f46663bc951cc270e66e9051d56}}, {{cite:949d239c15a9410a19a4ac0ce3b3409487da05e9}}, {{cite:2ea192235d127... | i | c9d37ca8a985fbfa54a0eab29013679c |
In our material Pd{{formula:73c7d07c-64c0-446a-819c-bfd8d2493ed4}} Bi{{formula:c318952b-cb73-4fc1-899a-aa2000bd3361}} S{{formula:db6aecd6-21a8-4a52-b006-d3b4ff162244}} , the spin orbit coupling (SOC) is also expected to be high. We fit the experimental data by Eq. 5 with fitting parameters {{formula:4128a4eb-4e8d-48be-... | r | 72b970fcd7947521461a137a419a1e4f |
latent ODEs: Rubanova et al. refine the Latent ODE model of Chen et al. {{cite:303b880f8828ee33fa98e10d587891e274f8123c}} by using the ODE-RNN as a recognition network, where ODE-RNN is generalized from RNNs with continuous-time hidden dynamics defined by ordinary differential.
In the experiment, we modify its official... | m | 97a09053ba859e76043cd6997a18c14c |
Model training: The experiments are completed with VGG16 {{cite:acf0dfa382fcc9352bd0a8c7be1fc7164b32fcae}} and DenseNet {{cite:99a9d80b0e6bca8d84687890575f60efa13c79b9}}. VGG16 is a 16-layer deep network with all layers connected in series. DenseNet, a more modern network than VGG, consists of dense blocks of interconn... | m | 8f994f6401f6b3f5259c213511df0e65 |
In this paper we have ignored stellar rotation (with angular velocity {{formula:f9579674-a6aa-4216-ac78-add3757c0566}} ) except in Appendix , under the assumption that the star is rotating slowly relative to the tidal frequency {{formula:9981897d-51da-49e5-85e2-dd38b2fb3fe8}} , i.e. that {{formula:82a2af10-1497-4aa9-97... | d | 0dd942928a16d7a2fb5d11dffc00eb0e |
Given the point cloud associated with descriptors, some methods {{cite:2179793655f35f3291ae272087dd47f1835373f1}}, {{cite:1663c55025d1ce6b6d1227bfe907fbdb6cd91f7f}}, {{cite:e63f6ee148cda4c884520a1631c91f34e2858f49}}, {{cite:064bb57925c073e4be7622487f5d2e34a697fb2b}} rasterize the point cloud into 2D image space with a ... | m | 3484840f702f9e1cb4d9c4c77cb282cd |
Table REF lists, for all-label defenses, the attack detection AUC for our
proposed defense and for three other existing defenses (i.e. feature squeezing (FS) {{cite:3a71653f2c320684265e9f68b845ee4663902a15}},
MagNet {{cite:5d1e155750b1002c5fc0da505da0294474bc761b}}, and latent intrinsic dimensionality
(LID) {{cite:c22... | m | 753863a46636a09f0a312ec85f21cbe3 |
Before we detail how annotation transfer is performed, we first provide a brief review on the Supervised Descent Method (SDM) {{cite:fade9900657b166edbe57da89b930362eac8d7a4}} as it forms the basis of the proposed approach. We note that our concept of transferring annotations is not limited to the SDM method but can be... | m | 33c8cf54ebf9253a73fa21edfd8e90a1 |
We also achieve competitive results to other systems on the official leaderboards (Table REF and REF ). Notably, the top two systems, T5 {{cite:bdca12f05a3e38f1a5bd22d3f664a27662d0e6a9}} and UnifiedQA {{cite:ed0468394933323a50439e459a51b067217aff0e}}, are trained with more data and use 8x to 30x more parameters than o... | r | 42caa7d8a7159883455cdc4075f23226 |
A time-varying transmissibility allows to quantify the effects of interventions and changes in the behaviour of people, in real-time. This is of key importance to policy makers, as the interventions often have immense societal and health costs. Understanding, while an epidemic develops, whether the implemented interven... | d | f63ea3e96b14adb6a4dbe29b9fe651af |
In this article, we examined matrix integrals of a certain type. We called them matrix models associated with
children's drawings—the so-called dessin d'enfants. They include some well-known models that have found
applications in the theory of information transfer and the theory of quantum chaos. We hope that our matri... | d | a6d76cdd9cfddde66aa98562ec1310b7 |
Recent works employed concatenation-based feature volume and 3D aggregation networks for better context aggregation {{cite:50be7ebd455704cffad6fc54a53ce84b9c70b906}}, {{cite:fa841770149391f55810fa43c3a6791c50fb9a8a}}, {{cite:f6c0170d931e6f82029e8d11fb3021ea66b29191}}. Kendall proposed GC-Net {{cite:50be7ebd455704cffad6... | m | c7eb22a48019e0edb291cc209fcb827d |
Deg
This scenario sets all the BSM Higgs boson masses to be fully degenerate with:
{{formula:a960930a-4f3f-41ef-b30a-c0370d3f0122}} . This is designed to easily evade the EWPO constraints.
Par Deg
This scenario sets the BSM Higgs boson masses to be just partially
degenerate with {{formula:b4ab7060-da89-4110-9093-0d58... | r | 8a3eee4256606122a40e4ef264fd30bb |
The singularities in QCD
partition functions in the complex {{formula:1a321fca-93fb-4d3b-be6a-10ea38a8ed73}} -plane also
have impact on the range of applicability of series
expansions performed at real values of the chemical
potentials.
Limitations for the determination of the searched for critical point in QCD, arisin... | i | 6f1f5c785a94ecdd6adbd7db41be66a2 |
A second and related limitation of this multiple imputation analysis is that were MAR to be assumed, the parameter estimates from the imputed data are very sensitive to the model employed for the probability of response {{cite:3e42345aa5c059b4860a7ace10512d6944af46b8}}. The probability of response can be modelled by us... | d | b32d946564cbe2fb0f4ce8bd2f14b0bd |
Future investigations could include analytic formulae for the limiting variance terms in the dependence case for various parametric families. In addition we could compare these with other competing concepts that exist in literature. For example recently a rank based correlation coefficient was proposed in {{cite:41e8da... | d | 900c8fb66f9127875cca149ac76cbd55 |
The Fig.REF displays the quantity {{formula:c91018b2-0a62-46ac-82df-4a92da1ddb44}}
as a function of {{formula:be003728-28eb-44be-bc9c-9421af8e9ee9}} while
Fig.REF displays the {{formula:eebef07d-64b4-4d5b-88d3-a3c72f2387be}}
as a function of {{formula:1bdcbb59-c744-4d1f-aed5-170fc7104c43}}
where all other relevan... | r | 0b1f56984683a20dc42d014fa6a95712 |
Almost all existing few-shot video classification methods {{cite:4cb806aff46addb7124eb71688fa97652bc66ffc}}, {{cite:c57b283051b25abe278b6556c16ecb3b90054c92}}, {{cite:b043d1b9a279ef31171ba249d56f95a2e7038ab0}}, {{cite:587b66f0cebc2bb873bc3d34e4420777347e20aa}}, {{cite:e98f1f1b1ff7fc085c9d7f60050f9cd0fc7da7b4}}, {{cite:... | d | e7321d2048150249a2b9aad174752ca8 |
The study of quantum information theoretic quantities in the context of the holographic duality has been a fruitful path to understand different aspects of quantum gravity. Here, we have given a local instantiation of the IR/UV Connection which was previously undescribed, relating local deformations of the boundary UV ... | d | ce9a9173cd4cfc89f011cd0b0cd57445 |
Despite the increasing discussions about enabling sensing via communication systems or the communication/radar co-design, little work is done on the experiment-based massive MIMO for ISAC except for our preliminary works in {{cite:695f5a256c627009e6a081b5298c65bb26cfe2c1}}, {{cite:1c011eb32a8e07a4b871eb1f20fbe39e7b52f0... | i | 008d11301210286c86cf537b08d3a0c6 |
In our paper, we take the indoor datasets, ScanNet {{cite:d2e882b80e3e00af2511bb1172bd60e539c16d04}} to discuss our failure cases, where there are a lot of textureless regions. As shown in Figure. REF , because of the textureless areas or the blurry problem of the captured images, the 3D-2D correspondences are badly di... | d | c56bfed747a8b78933ecd51f53c19a32 |
For some time now, black holes have been a popular testing ground of various
effects possibly implied by quantum gravity. Examples include quantum
corrections to Newton's law, modified horizon dynamics, implications for
Hawking radiation and the information loss problem, potential resolutions of
the central singularity... | i | a53f5e0fae8290175b46280f1082d2fd |
The number of shortcuts and approximations needed to interpret the
signal of RINGSS is impressive. However, similar approximations are
involved in any turbulence monitor (although not always recognized
explicitly), and the atmospheric theory itself is only approximate.
This point is further discussed by {{cite:c04c9885... | d | efdb0d9ef4b7e13991e45fb3e0e4a43e |
Existing LNL methods have significant performance differences depending on their hyperparameters, and if we select hyperparameters value improperly, the performance is provably lower than of standard training. However, the values of the optimal hyperparameters vary depending on the network architectures or datasets. De... | m | 60b34bcbcbe2074c38819ec65eb84cda |
where {{formula:aa0b3f9e-d1e2-4e79-a3a0-8c0539883014}} is an {{formula:f6d5fc07-c009-4e79-b080-363efc34e1d6}} matrix function of the variables {{formula:c9799184-ecbd-4c6b-989f-656709a12faf}} . The operators {{formula:0e24de2e-c3bd-44f6-b76c-3de3956bff69}} , which we will define in detail in the upcoming Section , ar... | i | ad275e20a083d56d8643c2a57a48ddce |
Despite being able to establish relations between semantics, they do not enforce any intra-class relation. To ensure intra-class consistency, some proposals use the center loss as regularization (L1 distance between the center of each class and each uni-modal embedding) {{cite:69fe33afb412fb57c369784258109d4fc15f004e}}... | d | 829f525b6f9d38fc2c58e527cad6e89b |
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