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Lore et al. {{cite:85f90c175c691ba37f61c0515b4933a5fd05f868}} proposed an auto-encoder architecture for denoising and brightening the low-light images.
Many Generative Adversarial Network (GAN) based networks were also developed for image enhancement. Chen et al. {{cite:dd69144c42557cbf936bc5a226fa90835583b12f}} propos... | m | f78ef463e73da2833925c1a53cccd63c |
Furthermore, our algorithm for the exactly sparse case (depicted as
Algorithm on page 5) is quite simple and has low big-Oh
constants. In particular, our preliminary implementation of a
variant of this algorithm is faster than FFTW, a highly efficient
implementation of the FFT, for {{formula:c51fccae-f8bc-4c6a-b17a-60... | r | e2bdf0a8caf6d3db442195141fbb084b |
Cooperation is much more widespread in nature than the Darwinian premise of `only the fittest survive' might suggest. Why and under which conditions cooperation thrives is, therefore, an evergreen subject across the social and natural sciences {{cite:edbfeb195aa0aa93f2c59fd5ba63c36add4e4c6e}}, {{cite:b7bb0e226d0a33510b... | d | 96cfeea4d4d81b4fa314bfe62927a1f6 |
Comparison with semi-supervised approaches.
Here we compare DETReg to previous works that employ semi-supervised learning of both labeled and unlabeled data. Semi-supervised approaches like {{cite:1483799e25c339609e429450813f1b5e2b76260c}}, utilize {{formula:ffff307f-e959-45dc-95b6-1ad3c511601f}} of labeled data but a... | r | d9a91a4e59640b88103fa959296a4d08 |
At the start, we want to clarify a common misunderstanding about the role of adversarial pretraining. The goal of an adversarial approach is not limited to learning robust representation against potential attacks. Instead, it is also employed to improve the generalization accuracy in downstream tasks, especially when t... | i | 54d9fcaaf23c7820c9bc43394fd84a3e |
It is generally accepted that coexisting firing patterns induced by noise or chaos can arise in networks purely connected by electrical or chemical synapses together with synaptic weights and seems to depend on other factors such as time delay and networks topology{{cite:4b9ecf2db21db76c330b577a73390c3fe1d7f403}}, {{ci... | d | 6d1d95bdfa399beedebe3db55a8d9bbd |
One method uses computer graphics to augment camera images, superimposing virtual objects of the target category onto the image {{cite:8947262f4c011715c935215a02be3b60a16a0074}}, {{cite:e9829b11f04f6b3a8662fad2b3e2fd1b86c9176d}}. This approach is simpler than synthesizing entire scenes and improves generalization. A se... | m | 0d71ec96f8a4ae51aebf0e45bb220d09 |
The mean filed Gross-Pitaevskii (GP) equation is not sufficient for the droplet; we need to consider the higher-order correction, popularly known as LHY {{cite:5204136065650ead1e193eaa7a6eb73471cd953d}} correction term.
The well established coupled GP equations for the 2D droplets is given by {{cite:87168e7b8bbaae7ca2a... | m | 1e44cf2316231204d026005407c19c8d |
As asymptotic gauge transformations act on the two dimensional {{formula:44dda03e-350b-44b5-a498-48ec8d8fc462}} , it is natural to expect that the asymptotic symmetry {{formula:f8b296cf-1d35-41d6-87be-75142cb74fd6}} gets enhanced to a Kac-Moody symmetry as long as singular transformations are allowed, which was actual... | i | 2e1ef09d4460545e213a76fbc4950f27 |
While there exists work surveying ML-augmented CO methods {{cite:8f7deeac39e0f0416b6158d36615187967bbf263}}, {{cite:b0bd746794f7f8373cae4b817cec103579d173e8}}, the more modern end-to-end CO learning methods lack of a cohesive and critical analysis. The goal of this survey is to address this gap and provide a focused ov... | i | a9e03b00a1dc037d1f4c96f26a1d59c5 |
Our approach to develop this controller is to first identify that the kinematic structure of any modular design can be represented as a graph, where modules are nodes and electromechanical connections between them are edges.
Fig. REF depicts the relationship between modular designs and graphical structures which we ad... | i | 87cb1eab444876100487ae60ee17c27e |
Over the past decades, there have been considerable developments in soft robots that attempt to bridge the gap between conventional machines with high performance but rigid components and biological organisms with remarkable versatility and adaptability {{cite:5abc719ead97ab1d272d8122b81c72cdca9fcbc2}}, {{cite:fab37c2d... | i | 8f550db81f7ed63c5ac4c968cef58d74 |
Furthermore, there are examples where all the models may all fail to produce some geometric structures at object-level, as illustrated in fig:comp-ps-vgg (sixth row).
In this situation, we still need to find more informative statistics.
One may for example consider to incorporate a second layer of wavelet transform as ... | d | 219c793c51543faa65193dd08fc10174 |
Our task is to find all central extensions of an algebra {{formula:39232fae-278f-4cc3-afc2-a7caaab467f3}} by
a space {{formula:c937a044-79fa-4c38-8f67-8e1882ae8f8d}} . In order to solve the isomorphism problem we need to study the
action of {{formula:9f6c2bd9-6b8d-465a-a82a-5f9b7f2a8c1d}} on {{formula:0804b421-1c99-4... | m | 3893d1c57d8c58820ac68558bc5402ce |
Finally, we estimate the bitrate of our model. Instead of encoding the image pixels directly, we can operate on their latent representation. Compression, however, is a source of error since discarded data cannot be easily recovered. If the latent space encoding becomes part of the training process, we can learn what in... | m | 7eb3dbde2909880bbd6a520369e39fb3 |
Brain dynamics is often inherently variable and unstable, consisting of sequences of transient spatiotemporal patterns{{cite:fceb56f53b5f9bc8c67630cf82912bc03a6dd7ed}}, {{cite:2ff76f7803e0da1cc0125b8c86841f79ac890508}}. These squences of transients are a hallmark of metastable dynamics that are neither entrely stable n... | d | 4065496aaff8af2fa0b27bbe12f898bf |
Uemura {{formula:f646b1d1-4ec0-469b-825c-3905cbde1843}} {{formula:4638f174-d1bd-4112-8b1e-fbae4fab1959}} . {{cite:2ae7f46b6a4a3f5ab0964ff36e938237c71d4184}}, {{cite:e66ddf03e9d787d465951af830534a3708b57246}}, {{cite:baa4e063b993ab23d57dac5dc402993889ea1cae}} classified the superconductor in conventional and unconventi... | d | 62f2af0e674588962075c75a53c412d4 |
One line of work that aims at learning sequences of skills
that are compatible is
Hierarchical Reinforcement Learning (HRL) {{cite:eb4a91d1cad22d328bd2e3677569364f5e300c72}}, {{cite:3cfa998804561d8246a3f408b06164bca2aefbba}}, {{cite:c6674881689b3951391e0adfd55a954e8132ed74}}.
In principle, hierarchical agents should be... | i | c85f89d40a4e28d109233eba9750373c |
If a critical configuration is reachable,
i.e. if the above algorithm accepts, then {{formula:448d35a4-5134-4669-a2c1-89799dabae8b}} does not satisfy the second sub-problem, otherwise it does satisfy it. Therefore, deciding the second sub-problem is in co-NP.
Thus, the {{formula:a8c11d24-a8a8-404f-b820-ed5a92cb8902}... | r | ff8f0f26ef3defea5bf552600a9216d1 |
LV-ViT. We use the LV-ViT-Small {{cite:a30a728acfaea675c5d2188dffcc04006248e86b}} as the main architecture in experiments.
According to the design of LV-ViT {{cite:a30a728acfaea675c5d2188dffcc04006248e86b}}, the token labeling technique is introduced to improve the model performance of the model. This method takes adva... | m | 68359e8e779972c0a3bf90071a21f186 |
Several previous works have shown the advantage of using the graph structure in recommender systems, but they all have restrictions in different aspects. According to {{cite:36bf54e91184fb52075be1ca5eace9b8359de5b3}}, {{cite:666e46d922f44427c7abd47a80b8190d0b2f2488}}, the graph structure is capable of incorporating col... | i | b796294af5f6ba294b21b020154031e1 |
Humans have always been the benchmark for the performance of most machine learning tasks. As deep neural networks have become more successful with several NLP and Computer Vision tasks, they get closer to beating this benchmark. However, despite their success, neural networks have several limitations in terms of distri... | i | b2d3f665d5cbd32dcb952595a284809d |
Regardless of whether trapping occurs, comets seem a promising mechanism for delivering dust to the hot-emission region near stars. Sun-grazing comets exist in the Solar System, and there is evidence for extrasolar equivalents (`Falling Evaporating Bodies' or FEBs; {{cite:891337e57f801d6e2d47920498a6b895e60be581}}, {{c... | i | ab39b8af90c91fc03fcd9b6df61e9889 |
Many of the coefficients presented here have been obtained with different methods.
The expectation values of the stress-energy tensor and the currents for free massless
Dirac field evaluated here are in agreement with the exact results in the case of pure
rotation and vanishing chemical potentials of {{cite:b907ff9c20d... | d | a41431658228b5ff9749f7a21d457877 |
Semantic Segmentation.
We evaluate semantic segmentation performance on the ADE20K {{cite:9aa5789d4af08d8dc89683d90db8700020f5a323}} dataset. Following prior works {{cite:e523cd417d2c9bacc571bf1cbeb65ffebd5d9906}}, {{cite:a404fb87ab37136bfd3b144715ffe5eaefb9da21}}, we initialize the UperNet framework {{cite:72f90e70172... | r | fbf72ceccda1705d2470d7e4b15bbcba |
MLP-Mixer {{cite:a9b825dcd1ef1cce25216abfb1c0acc372ccbe14}} is a simple yet powerful model initially designed to capture spatial location features for image data, and also found useful when processing temporal signal data.
ConvLSTM {{cite:3513e8071fc10fd89c3f0e9799d68989546330f9}} reports an excellent and consistent ... | m | fee09d2219d997e5738e3a6d2f5e0781 |
Our method is inspired by the F-Principle. In the research of deep learning, the F-Principle expresses an opinion that the low-frequency elements are related to the generalization of natural training while high-frequency elements are related to the robustness under the perturbations. We utilize the Fourier heat map {{c... | d | df773da8ae70b3252dd01e5244c65253 |
Inspired from equality of opportunity proposed by Hardt et al. {{cite:887c1bec75d542fa471612bd49d039f377da07c3}},
we define the fairness of {{formula:0e0ca156-3578-4829-a0ef-e25105602dbe}} to be the maximum difference of the availability, i.e., the fairness of {{formula:ddbd37d7-4d47-4c95-aed8-58ee0d51fd77}} is
{{for... | r | bbba438df5c01779ceb2760dbac08a0f |
where {{formula:4bdbbb52-3dc7-4b0e-9c9c-aa177d759740}} and {{formula:94c47416-0ae2-4605-aad4-bb999c53eff1}} denotes the maximum and minimum entries of {{formula:9a0a9e63-ee53-4fc0-83ab-492651a4ec44}} , respectively.
The structural similarity (SSIM) index {{cite:c9ae7c35754c969a20e3455b03832323488df075}} is used to me... | r | a2a807ead3a99a98558b96fe832d1f3f |
Very recently, it has become possible to dissect further the contributions of different neurons to processing, using pid {{cite:60c1b6211f804839b6b6167ed8851758511c6337}}.
pid enables us to disentangle for a target neuron {{formula:2fee1c1d-57d3-4ca6-b99f-d99190eb5520}} , how much unique information it obtains from its... | r | 2cd1e5c66a70074592f004dc7393d504 |
The method proposed in {{cite:9a611d5de06c9874b30e88fbaaaf98487bf268e5}} overcomes this problem by applying a preallocation of channels.
Preallocation means, that before the combinatorial auction, a non-exclusive assignment of channels to tenants is performed (i.e. a channel is potentially assigned to multiple tenants ... | i | bddba0437441a39aaf0031c1208c70bc |
The overall architecture of the proposed model is shown in Fig. REF . Fastspeech2 {{cite:1b0e7bf07f738789df6c87e7557d5e3605628b49}} is used to generate a mel-spectrogram from the phoneme sequence. We propose a speech mixer {{formula:f86dd304-035f-4ce2-8c3d-be67c6b60b12}} to generate pseudo-labels {{formula:518737f5-1f... | m | 2921836674d17c976004460648673082 |
Recently, gravitational waves from binary black holes have been reported by LIGO and Virgo Collaborations {{cite:691d6a364841294bde103e202fabe31a3417825d}}
and the shadow of a supermassive black hole candidate at center of a giant elliptical galaxy M87 has been reported by
Event Horizon Telescope Collaboration {{cite:a... | i | dc3d136c7e228498f78c1bf7b971b447 |
As shown in {{cite:77c8c4393f12d927247849fdabd126a377066d4f}}, to power an X-ray plateau, the dissipation of the spin-down wind must track the spin-down rate, i.e.,
the magnetic energy of the spin-down wind should be almost released in X-ray emission totally, so we can approximately equal the left and right sides of eq... | m | ebc5efe61f91653ea34f5d37a762e153 |
The cloud envelopes in this system are ionised by a superposition of many physical processes, including photoionisation from young stars and other mechanisms which give rise to LINER-like emission, the best candidates being photoionisation by cosmic rays, conduction from the hot ICM, X-ray photoionisation, turbulent mi... | d | 5ba9f5d7bdcbfb8ad4e8e4f580c4344b |
Experiment Setup & Implementation Details.
We used two-stream I3D {{cite:d6473854efc3e16e56764ce8bb451c981b99653f}} pretrained on Kinetics to extract the video features on THUMOS14, following {{cite:7df0e2a22d4067ac20971365ab16f2bc4e6783e0}}, {{cite:39d82c6c293988382ebc62921cff3c30f639f030}}. We fed 16 consecutive fram... | r | 426a487fb8fc7e42047826bdd7a6cb35 |
Comparing to the existing work, the proposed method has the following characteristics to tackle the challenges mentioned in Section :
(1) Many existing unsupervised models are only trained with normal samples {{cite:4ff62cbada3074658e1d1f753b1aaf521076bcac}}, {{cite:48713872217b6f84678b9f18a7cd385100fe3a3a}}, {{cite:80... | m | 71273a14736c622f3cad40413495c933 |
To demonstrate the effectiveness of HL-Net in exploring heterophilic information under occlusion scenarios, we propose to calculate two different R@{{formula:5e2d34d9-6014-4990-a737-9d2aef98aa1a}} metrics for the SGCLS task. More specifically, we decompose the SGCLS task into two subtasks, namely C-SGCLS and S-SGCLS. ... | m | f9c2ac8215a191609f2591ce6d8a9752 |
Fermilab has recently released a measurement of the muon anomalous magnetic moment {{cite:3b8055e3d800f442b91a2d324357b7e4b5420116}}, confirming the previous BNL E871 result {{cite:a9dcc862540138beb624fa1a9b748cf76c746cb4}} and thus the disagreement with the theory expectation. Compared to the most recent theory determ... | i | d0af2a8ba5baa731b6623cd0fd5b9e09 |
The role of the spontaneous breaking of the PQ symmetry can simply be played by a
new Higgs boson (a PQ breaking scalar), via an assumed double-well type potential, analogously to
the standard model {{cite:32b4c55e8437c91aa16ab015a147b02ab679f740}}, {{cite:a2789cf947016a2cee2672b2dd1f8c2c757e2873}}, {{cite:e9b99aac12ee... | i | e6da962782952909b9c9b49d48ff94c2 |
Effect of the caption/embedding generation tools.
We investigate if the selection of the caption generation tool and embedding generation tool affects the attack performance.
To this end, we leverage pretrained CLIP to generate embeddings for generated captions, generated images, and query images, and ClipCap {{cite:ce... | r | f0f415f0a9066621b3a11bb5fd68da44 |
Here, we define neuromorphic computing (NC) systems as non–von Neumann information-processing systems, the structure and function of which either emulate or simulate the neuronal dynamics of brains—especially of somas, but sometimes also synapses, dendrites, and axons—typically in the form of spiking neural networks (S... | i | 4e37395b4573ce8ef153ccbafe2d8fd7 |
The overall results are listed in REF , which shows that our methods are on par with or exceeding previous state-of-the-art methods. Notably, our DUBD-B shows much better performances than other non-blind ones. Interestingly, DUBD-B and DUBD-NB show negligible performance gaps, even though the estimation is not quite ... | r | 7ad0c8c222ed693bf24de37e6133e4c5 |
The proposed two-phase flow solver is implemented in the CutFEM library {{cite:83849eb3e15da6b2eeb48429fa73f701b2d41e27}} based on FEniCS {{cite:e0c73860c0b92a582a657cc7e33ad68757082a25}}, {{cite:80d387893bad655e599abf7b45ee5c1ddc6a4040}}.
| r | f9f5d47da88e46a7f8438129abc6e526 |
We report results in Table REF for BPTT, SAB, UORO, RTRL on the Kodak dataset. All learning approaches can be seen consistently yielding lower distortion reconstruction as compared to JPEG, JP2, GOOG{{cite:251dd7c7cda6e48bccbb36f2b7a7ad7090111477}}, and E2E {{cite:fd4631ab899f8bd85b1323152b064d3c1ddc4d3a}}. Worthy of ... | r | 97d78b483d9fe62b6172632f0c7cfd48 |
We compare MiFGD with publicly available implementations for QST reconstruction.
Two common techniques for QST, included in the qiskit-ignis distribution {{cite:f228afcd94a4cdc0488bf27223b67ac83912886a}}, are:
{{formula:3bd93c5c-1caa-475b-b70b-8572e7b58dc4}} the CVXPY fitter method, that uses the CVXPY convex optimiza... | m | db09cbc433700682e4cd7de26e6b4403 |
For the neural networks, we standardize the numerical covariates and encode the categorical covariates by entity embeddings {{cite:caf284f9102acbd2c912286927e7462a710ae5d3}} half the size of the number of categories. For the Classical Cox (Linear) regression, we one-hot encoded the categorical covariates (dummy variabl... | m | 1d96f808f206e9bb0430eebecea28646 |
To jointly reason across agents in space, and their interaction, we employ aggregation mechanisms used widely in previous research works {{cite:6322f8c5dc04b05a558a198be0a6f02ec173ccd3}}, {{cite:b65aa07535108a0250006be2e57d098cbd63eed1}}, {{cite:80996340f3bbb79c5f7dfe624f8695671a0e94cd}}, {{cite:e62eb83d7f8eb4f9ca27558... | m | 61588f0fda9b64e13e82ae8fcba0e3d5 |
Remark 3.3
(a) Our proposed Algorithm requires, at each iteration, only one
projection onto the feasible set {{formula:9a5a8ba5-e039-4eaf-8965-0e59b72facf5}} and another projection onto the half-space {{formula:86edadf0-42da-43cb-936b-af0d6960be59}} (which has a closed form solution, {{cite:e8335df65828af879b74d661... | m | 70402d3e4032cb255b3b9bec7ed27735 |
Decision tree is one of the most commonly known model in machine learning for sublinear nearest neighbour search. However, training a tree-based classifier using templates directly are problematic due to insufficient training samples and noisy feature dimensions. In recent works on 3D object pose estimation using tree-... | m | 8d9bce74b47f4e46b2f7f07ab84eaf9d |
To improve the flexibility to complex geometries and reduce the cost to evaluation residual (REF ),
rather than the commonly utilized orthogonal polynomials {{cite:3efafdb19974d5d71c10875bef78800ade56462f}}, {{cite:4cd7f258045199dae98f0c53f4cb77727a47e796}}, a set of compactly supported test functions
{{formula:93df308... | m | 00388dd30a7920a12a79ae2a18632c38 |
Figure REF
plots a 95% confidence interval on mean log-regret versus the budget used thus far. We perform experiments using a single budget in each problem; the goal
is to minimize regret at the point when the budget is fully exhausted at the right-hand edge of each plot. To focus attention on these budgets, we plot r... | r | e5c5c4765e40b53d237812f0ae396ca7 |
The revival of the conformal bootstrap program {{cite:7a9fb14272ff2dcceed428c4c729e37378c79d30}}, has provided new tools to study non-perturbative physics. The numerical techniques introduced in {{cite:7a9fb14272ff2dcceed428c4c729e37378c79d30}} have given a wealth of results, with the most impressive being the high-pre... | i | b8ca284b9e93f90993f52e0e1c8a1504 |
has smaller tensor rank than {{formula:6fd9030e-45b9-43e9-8866-281384554409}} .
The concept of representing
a function on a transformed coordinate system
has proven to be a successful technique for a wide
range of applications, e.g., {{cite:c298c859017214c835a5075f511196aeba632c33}}, {{cite:4f4265eff73aa23b0279c9a5278e... | i | 8e083b566c0883c1e7d2d14292742b03 |
Several recent literatures have dedicated to alleviating these issues by involving some localization priors of downstream tasks in advance. For example, the works of {{cite:1008431812e51846b7b637ca681789323783064f}}, {{cite:d6c41487dace8efa8f67cf3749df5aead231ecf3}} explored pixel-level consistency between two augmente... | i | 9a444a39c4b4d3ed6ffc8f662b648ba5 |
In the proposed method, we construct a correction model using Transformer, and incorporate a Chinese pre-trained model developed by {{cite:235d3a47cfabaa4a74cd32a4c4023e430400b94d}} in two ways as described in the following sections.
| m | 8f6221b7d1001dd341a10ffd288d3a66 |
where {{formula:b5a4cf1a-9db4-4720-9919-83df5226c205}} . In that paper, the main tools used are the variational methods combined with genus theory. The results in this paper were extended in {{cite:a25658a74bf4429e5eed1189fe7864a971b4e672}} including more nonlinearities. For further results
about multiplicity of normal... | i | b674b9228aa3d4caa4d110a35d9c09c2 |
Our results show that pure AdS{{formula:4a111fee-2b37-4a31-9fb7-3bb84946503a}} maximal supergravity saturates the most general non-perturbative bootstrap bounds in the large {{formula:0087d306-4710-409c-ba03-fe38a53fdca2}} regime, while CFTs with string/M-theory duals lie in the allowed region. This suggests that to ... | d | 93ba3cbc637e518b99f33dc549153e49 |
We also note that stars with different ages have significant overlap in their distributions of [X/Fe], {{formula:5367fcfe-9def-48e1-8d42-a19e68f5a3d4}} , and current R, but that the peak of those distributions are distinct from each other. For younger stars, the peak of the radial distributions of stars is at larger R,... | d | f7bcf96ff4a928692a6224eb67c0a2d2 |
At first, we treated the angular momentum as the control parameter. Similar to the treatment of the photon {{cite:656148da438dc765476362cc1f5f99329ea64d63}}, {{cite:14179953e04e3e4a14f015504bc72915faaabfa4}}, we started with the time-like geodesics and constructed a vector {{formula:e8db7e9b-f8df-4521-8106-06ea11c8a329... | d | be659f064073d6543fb5e55c9ebafae7 |
where {{formula:82335437-55d4-459f-848d-caddc75124c9}} is the expectation operator.
The OMLSA adopts the IMCRA {{cite:67b1e670200e6fec9d58b37017f2242a41b931e9}} to estimate the noise power spectrum.
After the estimation, this method reconstructs the enhanced speech signal by minimizing the mean-square error of the log... | m | d50944ae4384b1a73ab0e918b88251f5 |
Figures REF (a) and (b) demonstrate
how individual factors in Eq. (REF )
behave as a function of the creation beam cross sections {{formula:f9254e03-da5c-4c3a-ba27-978896f62a55}}
with respect to a fixed inducing beam cross section {{formula:3c865243-3af5-4c59-bf04-c31aaa34325c}} , represented by the yellow dashed lin... | m | 6d6415bc9583e876af6066e8e1a7681c |
The deep neural network (DNN) {{cite:585d91003df4812c5589186dd77fe31ba563e283}} has become the most powerful machine learning method, which has been successfully applied in computer vision, natural language processing, and many other fields.
One of the major problems of DNN is its robustness against noises, outliers, a... | i | fe9c9978b3646dde156ef4bfeaecab76 |
It turned out that RNNs are simultaneously capable of both information import and information processing only in the low-density, i.e. sparse, part of the classical edge of chaos. Remarkably, this region of the phase space corresponds to the connectivity statistics known from the brain, in particular the cerebral corte... | d | 970843f6f62f766b23af0f1c93409c90 |
Network Slimming on PreResNet-164: We have reproduced the results by using the same pretraining, pruning and finetuning strategy is used by {{cite:b6508bf02d55eadf6a22a6ba572f370e198c4c2a}} and the same pretraining and finetuning strategy is used for our results in order to do fair comparison of pruning algorithms.
| m | 12501f2cd14b357dcea4a8e302cbab3c |
Recent works demonstrate that for semantic classification tasks, contrastive pre-training approaches result in better transfer performance compared to non-contrastive pretext tasks {{cite:c3c2506610976ab61d764ac472d2c4516595794a}}, {{cite:793d03f0ca223c67f838bc336d17db1e67eae4f4}}.
In this section, we investigate if th... | m | 1f87d3e63f9628c19dd9a6110d0f0bde |
fig:bananaconditioningcomparison shows that using this form of Dual Conditioning outlined in eq:fastcondit we are able to recover a very similar posterior to the offline solution. To build a batch for BO and AL applications, we follow the Kriging Believer algorithm (see Alg. 1 on p. 17 in {{cite:b4b3f72def93abe904bc541... | m | dd6e73b1e2e2af50ee4eea908c1a66a1 |
In this section, we present our approach for relation modeling in spatio-temporal action localization. Firstly, we introduce our overall pipeline for this task. Then relation modeling module is presented with transformer-based architectures to capture the relations among persons in the spatial and temporal dimensions. ... | m | 38c3ae717d361f4568bab8854fba0d44 |
To investigate the effect of rotation in a phenomenologically interesting case of charmonium one would have to consider rotation of the spherical symmetric potential, which has to be dealt with numerically. Nevertheless, we can make a ballpark estimate using (). The binding energy of {{formula:7892a5e4-828d-4c96-8586-a... | d | 9f2d33d9d1f9020391c725a46a0cba43 |
A somewhat related idea is to use the sequence of linear approximations to maximum likelihood estimators provided by the Fisher scoring algorithm {{cite:abcc3262eab186ffcf219a21a76d623221458cad}}. For generalized linear models the associated derived response and weights based on the score equation have a convenient can... | d | f26ee549bf9dd93b3725f5c100b468a6 |
There is a large body of literature on the evolution and ecology of migration and dispersal {{cite:149f9d4f4fad44edcc3546c257cd9a4f47efefb6}}, {{cite:7a883407a608071f2b891fc33589d7bf4fdfc89c}}, {{cite:603ada1d405a966472e582867863926297e7c221}}, {{cite:4e0d3eb6efa23ba1fc06c6af23537f3afa1963db}}, {{cite:d84d842bb14b572b5... | i | f2cb5e1ced16108b949134ec4890cd52 |
We have proposed three `fairness through awareness' bias mitigation strategies. The first strategy (Stratified batch sampling) ensures that in each batch all protected groups are equally represented. The second strategy (Fair meta-learning for segmentation) aims to make the model more aware of the protected attribute(s... | d | dfa1ae6728bfdbba831957aa51d8595f |
In theory, the {{formula:6da3687d-8553-47d9-97b0-cf9f36adc770}} mass spectrum was widely discussed within various quark models, for example,
the relativized quark model {{cite:b2127104a07ba8239fa18e05b8f58b758d07efb4}}, {{cite:cd5ca7e5090d2f88ba3f20e8bde54ca3663767ca}},
the nonrelativistic covariant oscillator quark m... | i | 13349c555170e15c1e7a77d2a9527f90 |
A word of explanation behind topological properties of filters is required. Since there is a natural correspondence between subsets of the set of natural numbers and 0-1 sequences, one may treat filters on this set as subsets of the Cantor set {{formula:dcd8bfb9-07a0-475d-9bf8-8576ab17f334}} equipped with the product ... | i | 8afe14b8659ce204705e7d318b8982a9 |
In this section, we evaluate the proposed DAP3D-Net for action parsing in videos on two datasets: NASA and HAU. Our method is implemented using Caffe {{cite:439d39242b06927b0d50e3bfc9150d036a137de6}} deep learning framework and we further modify various layers from {{cite:4836e8abf21e028b4b4e88ba82dfe3463bd69b09}} to ... | r | 615a4076eed861aecb845785d4d5d361 |
Note that, for computing {{formula:f2ebabe9-f299-4b2c-97a6-66c7acb80973}} , we do not need to evaluate (the possibly expensive) functional {{formula:32af94ee-aac6-4d9d-9b73-978f27c94d8d}} , but instead use a quadratic approximation around the current iterate {{formula:7b15c9d4-430f-4d07-a2ad-5a7146277c62}} .
One of the... | m | fedd133053dd12a5790a8fa1e46e8fec |
Comparing with the constraints presented in Ref. {{cite:5f1e17432513bbde54aca0d9191a8d3affb9cd48}} for Planck 2015, we find that, while the impact of our improved treatment is clearly visible in the CMB power spectra (and will be relevant for future experiments), it has only a marginal impact on the constraints, and ou... | r | 5d5041e808ebd0f1914662aa36ba6f21 |
The lifted form of the ILC's input variable {{formula:208ee551-4888-4d34-9f38-83d2749e3c73}} is denoted by {{formula:2e61997f-3382-4cc8-a549-cc08c5bfb17c}} , where {{formula:f2cd4b60-d15c-46b0-a129-46d0e34fdc2c}} denotes the trial index. To update the input trajectory {{formula:dcb743c8-b36e-4042-a483-ac6bffcffdaf}} ... | r | 29b1f916c42037f86c66a85e9842e945 |
FPN. Feature Pyramid Network (FPN) {{cite:77ccf37cda70b50dd59f76cd6f7d0eee28aeca3d}} is to explicitly address the problem of large scale span. The MFD task contains a large number of extremely small formulas, which bring great challenges to our model. As illustrated in Figure REF , for such a single extremely small cha... | m | 582c69e0b0ed3d697afa4432edd31b5c |
In this paper we have presented the discovery of the Giant Arc (GA): a
{{formula:bf7e1e8d-0e02-4edb-976c-247a743fd98f}} Gpc LSS at {{formula:a7cd6f94-a83f-4e60-aa57-993b48c3f47b}} , mapped by Mg II absorption systems in
the spectra of background quasars. The GA forms a large crescent shape on the
sky that appears almo... | d | 850a22048a4aa4e23987f522fb1f2b17 |
The canonical map {{formula:69462f79-3820-4720-ad08-d62b8429f483}} , the inverse limit of the bonding maps {{formula:444dedb0-ab74-455c-9156-59252cd17414}} , sends
a point {{formula:417302a7-6508-4064-8c7a-77ce9eb7aaea}} to the intersection with {{formula:f92fad07-9bb4-4f60-8a9f-cd142df56c49}} of the ray starting in ... | r | ae413e96ff4199839a45a360f3d6ac28 |
Simple optimization algorithms are surprisingly able to find uneventful descent paths in the non-convex cost landscape of deep learning networks {{cite:c7abf72490301f9d33407e06774b26a5c269fff3}}, {{cite:f8be7d72c013eb993a4c9f74f21b17d47a8e78bb}}. However they also tend to construct features that capture spurious correl... | i | 767294a0ab3264da9056d6d5cb1d7fc2 |
A smooth metric measure space is a triple {{formula:85044ad5-f7c0-4dd5-b969-a977f92e53cf}} , where {{formula:9831cba6-4d8b-490f-be61-ad69d95ecbe4}} is a metric, {{formula:790d18fd-aa0c-44e3-bda5-e22474da544b}} is the weighted volume measure on {{formula:74d05430-cb0a-4215-aafb-d9ae044d6265}} related to function {{fo... | i | e23662e74a3d9bede2af322c2554fea5 |
Example 1 Given the California housing dataset (that includes ZIP codes, square footage, number of bedroom and bathrooms, sales prices, etc.) {{cite:783c464e53c504f84557ef8b6285946eb834125c}},
and 20 ML models (e.g., regression
trees) trained on distinct subsets of this dataset,
(1) predict sales prices for a new test ... | m | cb8b18dc81409104b351ccafe558fe8c |
Audio Generation Module:
It consists of an audio generator {{formula:0c09848a-6d0d-4949-9c27-6b86c7c9b90a}} , that generates audio from noise {{formula:0a16d763-ca21-4322-a7d8-53d869130f8f}} and a discriminator {{cite:3da686593b20216d9b70c6f06bdd9bdb3b5ec0da}}. This generator module is parameterized through a function... | m | 787b67d6ae5557851ab14bd360aa4379 |
One interesting phenomenon associated with the existence of an ALP is
formation of the axion cloud surrounding a black hole {{cite:a22f77a6d8f00f4eb8efc825a7306b5e7a2921ec}}.
For a massive bosonic field around a rotating black hole,
superradiant instability takes place{{cite:645b2d8df3883b9117077ccc3f93079f07a8d4fb}}, ... | i | f8fdfb802811435d17b787b613ecbe16 |
Under the assumption of incremental network growth and bounded human effort, infrastructural and the socio-economic features are written in Ref. {{cite:9450e3ac3cdb3189b4ccc0280b2c2639e5277999}} as power laws of the population size respectively with exponents:
{{formula:19c428d8-9cc7-4e73-96ea-a7a7b0996d68}}
| d | dd89f88f2b418be516deac4dd892902b |
Answering these questions requires first establishing that a power law is indeed the best description of the data, as opposed to other descriptions, namely other functional relationships between {{formula:21163a09-8fab-4de2-a186-06d0854b60a2}} and {{formula:bcfedbf0-8d63-4107-b3b6-689a7da956d2}} . Assuming the power l... | i | 5430d67b7457099394da25877ce75356 |
In this section, a comparison of the proposed monolithic solver with alternative minimization solver {{cite:f29ca55b9532666cdbe007135bfccc4ddd7a8cdf}}, {{cite:6f47328ba17c42006f893a22b1f57fbe623892e6}}, {{cite:601a264bf9684b3bff3889a512a1ea12b9ac97e4}} and the quasi Newton-Raphson method proposed by {{cite:3d1080e26f53... | m | ec62fceda92c2fc985a046f70be9da39 |
paragraph4
.5em plus1ex minus.2ex-.5emSmall normalization batch size is known to have negative effect,
as observed in previous works {{cite:86b41205e1432bd56ebbfecbf27d9acb94931be1}}, {{cite:3ff430ad04a76ec2bf374a80ef77d562a54be80f}}.
We analyze the underlying reasons,
and show that on ImageNet, the large performance g... | d | 870fa177962f6d62ab5bada7052082ea |
Attracted by these different properties several recent works, such as
Novelty Search with Local Competition {{cite:e94d4ac7ccc3fa02ae3eb59b82cd75cd68c1fceb}} and
the MAP-Elites algorithm {{cite:b90be5e7db05d52dc21bc508c3d6bcad0d294811}}, started to
investigate the question of generating large collections of both
divers... | i | a6806d5e05ea869f6a2d043b5a72b50a |
Fig. REF provides a more comprehensive comparison in the bit accuracy against various intensities of distortions.
In general, our combined model achieves better performance than HiDDeN {{cite:8b2978aa70b7569df2d3e1798655a931e5b3c9f5}} for resisting distortions.
Although our method fails in Dropout (p=0.3) according to... | r | 9203e7d604eee3d581e32552e909312c |
Graph cuts for {{formula:5d3e8182-a75a-4ada-99bf-121051ee6cf3}} {{cite:d89333224dc0d7565f40f81ac385a52d2d234ee1}}, {{cite:400f6315032a8a12de88b8d1a7b8c7f3e8cf6637}};
Random walker for {{formula:74c19266-d9af-4673-af66-88d67ce74e89}} {{cite:f6d55672cbfd9409e1fe9dd2f3a53fe033a35048}};
Shortest paths for {{formula:b4... | m | aa38c03bb5301dc3ad05f2ad8fb38ac2 |
All experiment settings are kept consistent with {{cite:b5ae2981ed15142a2a46ab5387e6f090b23db3ab}} ({{cite:11cb2df4f7ce3f52dd71adc8fd6ee4244567f31b}} on ClueWeb12).
All the candidate documents to rerank are from their base retrieval methods. Conv-KNRM and BERT Ranker use open source implementations {{cite:ed006a971c184... | m | e82769475da9dd49940ad28d63ee260c |
Note that feature selection is a research topic highly active in the Machine Learning community, especially on non-physics-related topics and classification tasks, with plenty of articles dedicated to the question (to name a few, {{cite:8e565d0597b88b67aac69e5812aa0a8dfff70864}}, {{cite:1ef2b509a1c96ec3b9a766ff988f1da3... | i | bccc2bea8535d2dfb7733e457e22deb7 |
Detailed models of pedestrian motion inevitably require to take unobservable internal states of humans into account, e.g., for decision
processes and interactions between pedestrians.
Our findings suggest some principles in evaluating the current and future states around each individual.
Pedestrians try to avoid interf... | d | b763c0549d07eb9500905316444f8070 |
In order to preserve meaningful values at the boundaries, the convolutional filters used in the proposed architecture incorporate a symmetric boundary condition into the padding operation. Classically, padding is used to preserve the spatial dimensions of the field being convoluted, but the standard zero-padding approa... | m | 1795223b19a4497984ea5707b4e71e70 |
Empirical Risk Minimization (ERM {{cite:2948d51ac4d6744f4353c9286e57f197fdfc4a4b}}, i.e., CNN baseline): minimizes the sum of errors over data. We regard it as the naive baseline to learn a single model on all source domains.
Meta-Learning Domain Generalization (MLDG {{cite:771040b76be02752c42e8df8fa53f0d4ecf62685}})... | m | a4ea29ed05e08bc905029050a5acfd9f |
Although, to stabilize this approximation, approaches were introduced in {{cite:ffe1643c82f76d9fc76076fb88c55e196a64164a}}, {{cite:b1200049fa699207babdb4fed2855777cb9938f9}}, they rely on the learning process of a single network that can still be biased by its own initialization. These constraints can be removed with t... | d | 7721ec858473c3ff63d2aa32a84aef43 |
Based upon the current experiments in atom-cavity QEDs, we theoretically investigate the strong single-PB to two-photon bundles emission in a trapped single spin-1 atom coupled to a single-mode optical cavity. We show that the energy-spectrum anharmonicity associated with {{formula:f6e29d53-3eaf-4602-b691-ceb398a600a9}... | d | 0d348a66bb9c1cb892f2967a4d19c7ed |
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