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Besides the combination of generative and contrastive tasks, SSI {{cite:6a616ce673838900777e2393279405f03c35a1cd}} assembles a label-based predictive task and a contrastive task to pre-train models for sequential recommendation. Given a sequence, two consistency constraint: temporal consistency and persona consistency ... | m | 43b7642b15f0f3043aeee1cd40b358bc |
Denote {{formula:3b1a1670-2e3c-42c0-ba74-3c0d9829f9f8}} . For
{{formula:dab484ec-4c31-4544-88ff-5a44804a1c68}}
and {{formula:0ca08014-6174-4bbc-b73f-b8c68702c062}} , as in {{cite:f57b7d5f86e6fd54275d291760d28c73dfd1040f}}, define
{{formula:1ef307c5-36e3-42ab-a29e-ceb683c419ba}}
{{formula:bd4fae0b-e62c-4164-a0ed-945eb... | r | 1e8690bb2e1bc73433a5e6ab7c000e81 |
Convection was treated according to the standard mixing-length theory {{cite:d45280323e995ad7d0a82fa527d7427021bffaff}} in this work.
The treatment of convection is one of the sources of uncertainty in modeling of stars.
Different treatments of convection, such as {{cite:a2aaa56f8b2c5cd57f6f9dba3200c56b7fbb4722}}, {{ci... | d | 6d797249ab507a6635cd739ed14d4b7c |
Based on the calculations in Sec. , a finite expansion along the geodesics in the FLRWK universe may implies the circumvention of Hawking and Hawking-Penrose cosmological singularity theorems {{cite:8681f9d4183c9682e60bef8e86f1b552875761cc}}, {{cite:3450c76b18cec84050aecda02e3da0cef6227301}}, {{cite:f4c1aa0597000e3b62a... | d | 4e07d16af12f210fc9446845e375f230 |
Neutrino spin oscillations effects, predicted in our work, are expected
to be probed with current and especially future neutrino telescopes.
The flux of neutrinos, if a core-collapsing SN takes place in our Galaxy,
is estimated by {{formula:ef15367d-1fde-48a6-8f86-5f19d99438b7}} events for the JUNO detector {{cite:682... | d | d833b329c9f5994d10b7e2d19c3fb07d |
In this section, we report our experimental results in the applications of image deblurring, image inpainting and image CS recovery. All the experimental images are shown in Fig.1. Since the group sparse representation (GSR) is exploited to prove that WNNM is more accurate than NNM, we called the proposed scheme as GSR... | r | 1b0818db48bd36ed2457394b97812450 |
Two-fluid relativistic plasma flow equations describe each fluid (ion and electron) in plasma using the equations of special relativistic hydrodynamics (RHD). The fluid components are coupled via electromagnetic quantities using Lorentz force terms. Finally, the electric and magnetic fields are evolved using Maxwell's ... | i | aa9b0f101582cb074ded3544aafe2936 |
Specifically, we use Codex to aid implementing a Mask Region-based Convolutional Neural Network (Mask R-CNN) {{cite:f9b8c6fa6bd3aa3829f63782b7e25cadb77d7df7}} combined with a loss function that computes the pairwise cost between each object from the previous frame and each object in the current frame {{cite:f7d99165a5d... | i | 1dcc343c4001b2235d7f37715606eeb1 |
Introduced in {{cite:a30e54edef02b18ba7842979285f335f9120f606}} and {{cite:0765f40670c16f5e45f312f6fb0f06e7e1055161}}, the synthetic control approach consists in solving
{{formula:3abe0c66-1716-4772-87c3-052344cfba19}}
| m | 2931fdc8bd9335a1cac6e1ec990d61b1 |
As we will see in Section REF , the difficulty in ergodic control essentially arises from the storage and computation with multi-dimensional arrays involved in the algorithm. Tensor methods have recently gained popularity in signal processing, physics, applied mathematics, and machine learning communities due to their ... | m | 21de6776aec6cdfd28d20d9e46a6bfd4 |
Rank metric codes were introduced by Delsarte {{cite:b68df01648131e0b9aa3b308579e0660a48e25d5}} in 1978 and have been used in several contexts, such as crisscross error correction {{cite:809941ad034ea43473e1b133acbf1bda3c3bdffd}}, cryptography {{cite:73ebe77e19cb06aa04047c92e894ab1242242d8a}}, and network coding {{cite... | i | 50ccb92a65f174fa3603ad5d73ea4983 |
Intelligent reflecting surface (IRS) is a recent hardware technology, which promises a significant increase in energy efficiency while achieving high spectral efficiency gains. Its main advantage stems from its structure consisting of a large number of nearly passive elements that can shape the propagation environment ... | i | 7faf803622a1bd175b10d03dff76145d |
As mentioned, approximate tensorization is known to hold in a variety of settings,
so the algorithmic result from thm:alg-main has
a number of interesting applications, including product distributions {{cite:f51684edc5713b44227134057f01d6328a8be92d}}, {{cite:1442367b46e1ba3bebeaeef5837b957c80cbd521}}, sparse undirected... | r | 83dc8cf361a6a6774acb1157e04db7b1 |
PerDoor uses the principle of adversarial attacks to generate backdoor triggersA secret pattern that helps misclassify altered inputs to an incorrect, targeted label. because of their ability to misclassify human-imperceptible perturbed examples to the desired class with high efficiency {{cite:32d7474e602832f8fafe1997d... | i | a2adc94daadac04f8e6608e9cd8af9e4 |
Overall, DR1 and DR2 perform similarly across scenarios except when the sampling score model is correctly specified and the outcome models are not. In that case, DR2 shows noticeably higher efficiency over DR1, especially under strong selection effect for trial participation. This could be due to the tendency for pract... | r | bada59004da9593373fbcdbc33f44fbe |
Full waveform inversion (FWI) has been receiving wide attention in recent years {{cite:f29cca4da924be0f7ed0c0f853e342ae871cf54d}}, {{cite:3e97f1c436090f378f4c3f4336d360be11396371}}, {{cite:37c8e54d17742158c48c393104b797774988833f}}, {{cite:422341ba48a4e016508ee657b86c9291e3c395d0}}, {{cite:f110f9821ce4c43d75085a61753f2... | i | aaecaa2bd0a5cea2bcb6300f9d25e671 |
For the evaluating the similarity of learned word representations We use Urdu translated version of corpora SimLex-999 {{cite:770166786c6b1d6cbcea81bc23741a36733a2af6}} and WordSim-353 {{cite:f82c608d4c7049228616ec05a90b1148bf2e26c5}}. SimLex-999 is a gold standard dataset for evaluating word embeddings. It contains 99... | r | 176a58b09050f0d02fe39cb6f830e1d7 |
The second dataset we use is the Liver Tumour Segmentation Benchmark (LiTS) https://competitions.codalab.org/competitions/17094 {{cite:07dfe3d3435418c8567bc61dde9b639c28b4d82f}}, focusing on only segmenting the lesions of the liver. We chose 29 images randomly, and used 2 images for training and 27 to evaluate performa... | m | 764e280fa7fc95d478306fe14a5f419e |
The Relaxed LSAP is a special case of the Kantorovich problem (also called optimal transport problem) and it can be solved efficiently thanks to the Sinkhorn algorithm {{cite:d41715ca91bf73b132a702015632ea58bb2e7bcf}}. Such an approach is called Sinkhorn Net {{cite:8b56dc8c5c3be842d34bfc34e866d4c0c02dd2e5}} in the lite... | m | c36923248a11ef5de8bd83023eb84c06 |
Finally, though we have focused on the moduli space dynamics of framed BPS
particles in {{formula:e8421d66-8c43-44d9-989f-6ef4caa195d8}} {{formula:15754685-366c-4139-b376-19d20d5f0abd}} supersymmetric gauge theories, our analysis can be potentially
applied to study the wall-crossing phenomena of any supersymmetric
th... | d | 9c4537405cbc667124409865811042e1 |
Deep learning has made large strides in recent times, providing breakthroughs in several computer vision and machine learning problems. However, deep learning models remain unable to assess their confidence when performing under unforeseen situations.
As argued by Begoli {{cite:e5aa37177c87ad680dbe270f96cc4162c34b9229... | i | e782f22dacb344b62df13dd6c78faae3 |
higher-order sample statistics require more samples in order for the sample statistic to provide a reasonable estimate of the true statistic.
Moreover, as we learn separate sample statistics for each leaf in each tree, we are still able to model complex distributions over the entire dataset using distributions paramet... | d | 601840d326d48aa8d95da5a5f99d84c7 |
In this work, we address both generalization and personalization of the federated unsupervised representation learning with the utilization of local style information. In {{cite:f41ecc3009c74e01f66df38c8aa964e14f9de975}}, authors assume that an image is generated by a content factor ({{formula:07a7745d-0bed-46c8-80bb-4... | i | f8cc6758e660a420e633a876c1cf2882 |
It is worth noting that, although there have been the aforementioned recent attempts to design instance-level explanation methods for GNN models (e.g., {{cite:4d2bcae263780e7d0e855bd8877931103a744370}}, {{cite:04a4fa19a59efb1336c44a75d4ddb37f2af28cf7}}, {{cite:12917fbb1dfbf9eee4436e22ccc5cf44ae22e4e9}}, {{cite:755419e3... | m | 768358bfd5509e56a780ec03ebd654c2 |
{{formula:79c83de2-ee1e-44f2-b3ec-3f49d101d12a}} is the unique metric with the least Hawking-Horowitz mass {{cite:9bb940a7eceaf2cb56fa76703356521e32d29b24}}.
| i | d266db83de3e50d4ea51d147ffbbc2d3 |
Using a population of FDs CR(%) {{formula:660b89e7-645a-4e41-bb0a-0e8b199bfc0b}} 4) in magnitude that occurred between 1966 and 1972, {{cite:072a00bb5a1260f75acfcccb545d186be3b6a706}} observed that the interplanetary disturbances responsible for Forbush decreases are characterized by a region of high solar wind veloci... | d | 45a01af1dc99e58539e5a2c5c15b1a7d |
These properties are satisfied in the case of a closed manifold as we work with. Indeed the doubling property follows from {{cite:83351c414c833820b9bd077d5e57d54d73ed5a6e}}, the asymptotic expansion holds by construction of the heat kernel via the parametrix method, cf. {{cite:f7554329a960511904257ff6b9e67ef583ccb37d}}... | r | 4b8393963b6c93746d32e9777be0ae01 |
We compare our method with seven state-of-the-art methods {{cite:dce8436a5a6fbdcf3e7c90406711eba1d456c059}}, {{cite:64a20fe0497a6381096e844f5f4c4ae8121a77d8}}, {{cite:c1153624e7a314dc1aa3fd7e5644bb81213656a1}}, {{cite:c793552475045e060ee818451e64fb4b0aad1719}}, {{cite:2bbc21a645172bc4b6254086fc123c711484d0c3}}, {{cite:... | r | 867623c723b6cf237037fec6e913b545 |
Inverse reinforcement learning (IRL) {{cite:7ef4d74d62bda3a0116fbd032d26af717b6deb65}}, {{cite:f848a3257e2628cee05cc23b343121a70ccae091}}, {{cite:6c12d9b95f80f838449422311e16f143a3b9dda1}} focuses on inferring the latent costs of expert demonstrations. Early works assume that the cost is linear in a set of state featur... | i | 635f918f2ff5579b4abb6ec47263da83 |
This requirement is generally satisfied unless the probability of {{formula:969713c2-bbc6-4cb9-83fc-33c8be027522}} is 1.
The proof of Theorem REF is provided in Appendix .
Theorem REF states that the gradient of either the MSE or CE loss with respect to any positive activation {{formula:b6cb4673-ba58-462d-bd09-ca69e... | d | ee398f3a9c930077ac890392e37c5a59 |
In addition to the baseline method, we use
CutOut {{cite:c935bbcd53cc207f43da9c265c8b6fcc72a8d68f}}, RE {{cite:1ab18a0746dd9d007969b1ea2ed204088d1174e8}}, and CutMix {{cite:7fb9da6fc195624d418036db53d9b9a31bdfd3fc}}.
Table REF gives the evaluation results.
The proposed method outperforms the conventional methods on al... | r | 5afe0304a4e1ece111c3947a6bfcb83c |
Fix one, vary two. In common empirical studies, the degree of freedom is usually equal to the number of variables (network depth and width for model scaling {{cite:fbdd24895d5ac41dce3e96758ca1d045d28c6622}}, {{cite:4b237a6352ae2b0528ad47fc25da8cc5c233ed5d}}). In contrast, our main subjects of study – image size {{formu... | m | 6eff150c1de267332f9edb66c7df63fc |
RLE limitations.
The proposed approach does not currently support the quantification of higher-order interactions between features for the relational local explanations. A more complex graph-based representation can be utilized for this task for future work.
Furthermore, patches of image data should have adequate local... | d | c8871c002b7fe16257b2e088e339d962 |
Then, we have confirmed by the Hamiltonian analysis that the number of DoF can change after an invertible transformation in the singular branch. Moreover, even in cases when the number of DoF is preserved, completely different dynamics can emerge in the singular branch. As a further application, we have discussed novel... | d | b09ce8b43070009b32c11cf897ce2aa4 |
One of the important standing goals in quantum gravity is to understand the microstructure of black holes. As a microscopic theory of quantum gravity, different attempts were made to employ string theory to study the microscopic properties of black holes (for reviews see for example {{cite:fc66e97c15236d4fe67b03373af79... | i | d52e03119d11026cf0995d55423a5fab |
In fairness, it has to be mentioned that
the similar scheme was applied to the one-dimensional {{formula:a71bee88-3fd6-4521-b4cc-3537f44b9a7b}} magnet
under the transverse field {{cite:6c3f1c3db6736826ae3a1c0d507d44493a2b8ed8}}.
In this pioneering study {{cite:6c3f1c3db6736826ae3a1c0d507d44493a2b8ed8}}.
the authors to... | r | 61b3efd5a1c49c42f833a4b7d489ac73 |
Following {{cite:fc1cfe02e08123b9839bb11a8b20b57cd978d253}}, we use P@K (Precision) and MRR@K (Mean Reciprocal Rank) to evaluate the recommendation results where K is 5 or 10. Precision measures the ratio of hit items while MRR measures the item ranking in the recommendation list.
| m | f52ff9fcf37732c794d14bda343f0cbc |
The proposed shift in perspective from precise to imprecise probability would also be beneficial beyond the classroom. One statistical factor contributing to the replication crisis currently plaguing science is a misunderstanding of statistical reasoning, in particular, the meaning of “statistical significance” {{cite:... | i | aaa87bc953d6f6a17fbba19e42b19391 |
With the continuous explosion growth of data traffic in wireless communications, sixth generation (6G) communication networks are expected to meet a great deal of pressing requirements in the near future {{cite:5b986e43463442d90fd1c1a9481a6828674a2a19}}. To meet the bandwidth-hungry applications (e.g., on-chip communic... | i | 08e1152a80066562f39e9bfae1decc5d |
Coupled cluster theory {{cite:76d3601210ff2a6c067b49d3fa184e2a153b14a7}}, {{cite:8741a82f3db0abd9edd79a063e93dafab914f07d}}, {{cite:15058470c741e476bbf05a3d628f36a0573d7499}}, {{cite:cc177e75b78e8bcdcd4f62568372de2c97c2c735}} is a well
established method for solving the electronic
Schrödinger wave equation for small to... | i | 0fa046fb8a8a3ea20c72e8ac308ac9b1 |
In this study, we examine the correlations between accurately-derived Hi column densities and dust-based proxies for {{formula:5fc3501b-a7ba-491a-84ac-124dea8111cc}} . We make use of opacity-corrected Hi column densities derived from two surveys: the Arecibo Millennium Survey {{cite:09456625703bf5dd5ee344b19a52ddbeb573... | i | 0f9e4fe0378f79a4605d2367840fdd13 |
Galaxy populations are bimodally distributed in color, morphology, metallicity and so on which indicates a divergence galaxy evolution path. The mechanism that governs these observation results is still under debate. This depart phenomenon can be illustrated more clearly in color-magnitude diagram {{cite:f1562216b96cf8... | i | 16b101f664e8825ceb3c353e57b55d02 |
where {{formula:d78f2d27-4008-40cd-993f-f62fb409c511}} , {{formula:9a413752-2770-435d-a0af-0112efd2d778}} ,
{{formula:d4e8b4b9-9314-46fd-91e9-bc81c37a17e9}} and {{formula:8ccb82e7-9d65-41e0-8488-499cdacaf75e}} . Note that
(REF ) and () are written in the forms of (6.1) and (6.4)
in {{cite:055d5beb9061a852d99bfd988535... | m | 6540076813dc82e0a57c351c24cb96cf |
Our main result is presented in Fig. REF . First novelty is that we have found the observational bounds on the Hawking temperature coefficient {{formula:4e324e86-0e6b-4867-adf6-6b17d7b48aae}} which (on the theoretical basis) was usually taken to of order of unity {{formula:cd414fb4-b07b-4418-8822-765c77c5a1b0}} . Our ... | r | bafd5279de1367f8c9fedf9075594ad8 |
Meanwhile, in our numerical calculation, we used a specific model of the two-dimensional system introduced in Sec. REF .
However,
our theory ensures that the fluctuation theorem should hold for a much broader class of models that satisfy the ETH (Table I).
Since it has been numerically confirmed that the ETH holds for ... | d | 9d12a00b1184db536915de3ec867525a |
To learn adversarial robustness without input perturbations, we follow {{cite:20dd114099424ec3e106e11bc21db30f57ff69d7}} and distill an adversarial trained model using only the clean training data. We focus on the self-distillation scenario where both the student and the teacher are ResNet-18. We find the AT teacher's ... | m | 8b6c97e1951cec6976e35984351a76a6 |
One barrier to improved algorithms for robust IL is a lack of appropriate benchmarks.
IL algorithms are commonly tested on Reinforcement Learning (RL) benchmark tasks, such as those from OpenAI Gym {{cite:c21879c6bf91518c570a1a0923d556ac05ac93fb}}, {{cite:41a0a2720ea95dc22e014d4fbd1748e8744c0705}}, {{cite:5bb81c2c461e6... | i | ea0f5c41bf5fdf8372beab2dfd9cfc7f |
where again we have neglected various constants.
The first term is the standard area term, which can be put in a form reminiscent of
the Bekenstein-Hawking entropy {{cite:6a8a4691e223e2216e4598b5ef853bcb5c5cda16}}
by defining an effective Newton's constant
{{formula:18441d4b-085a-4277-a91d-047d54671362}} {{cite:99bbd5... | d | c58a36654ed7ce858170543e328a9b0f |
We measure the angular momentum content of each {{formula:5c92cca0-4df8-432d-b518-3f1e35210bd7}} -body model via two distinct metrics. First, we calculate the kinetic energy due to rotation and compare to the total kinetic energy in the model. The second parameter measured to understand spin is the well-known “spin par... | m | f77416aaf8937ff82f0b6102aaf4a56b |
The CER returned by the model trained on the joint dataset shows improvement in the results of both datasets and a large improvement in the out-of-domain testing scenario. Even though the datasets used by us are the largest among all Cantonese ASR datasets, they are still much smaller compared with more comprehensive d... | r | 90753f0ccf20856bc15cd57c2d0700db |
As demonstrated in Table REF , we report evaluation results on the 1-channel real-world noisy speech extracted from the CHiME-4 challenge.
Two categories of results are displayed, the upper part lists the results of supervised methods. The first three rows are the results reported in the challenge {{cite:d367aefa7d72df... | r | f0a066f605aad56294de6eb384f05be0 |
As previously discussed, the aim in this work is to address all three issues impeding the progress of LFQA, as outlined in {{cite:92a95213cf4e310ff8f91a3288ea9632190f68f0}}. We discuss our methodology towards solving each of the above tasks in Sections REF , REF and REF .
| m | a8ad948e7483825b406a469b69567851 |
Human infants are not as tabula rasa as models like InferSent but rather encode useful inductive biases {{cite:8004a2277c0452e17369422cd7b6b009eb3309bb}}, {{cite:7fcb4364d9234b8866305369fd3692d00eb2bd65}}, {{cite:6a141af622ec249d8228a54d319c9be2779a518c}}, {{cite:ce82c696aa7039addaf8c7dbcb8792ffa2796829}}, {{cite:15bf3... | d | fdf1ea791e857c25a6cd6f04208f77b1 |
With bandit feedback, players need to derive an individual gradient
estimate from
the utility value to update the next action. The most commonly used
methods for gradient estimation can be divided into two
types: multi-point estimation and single-point estimation. In fact,
multi-point
estimation techniques have been wi... | i | 68381281b3b655cb1cb702c1f365b87f |
Groenendijk et al. {{cite:951abadd565cdba45cb27e26a4bcb3818ca18556}} proposed a weighting scheme based on the coefficient of variations, where the set of weights depends on properties observed while training the model. The proposed method assimilates a measure of uncertainty to balance the losses, and consequently, the... | i | 5da2cd736a02843550417e7680e41e1a |
For benchmarking, we use the DE model in {{cite:3c6caba7107ac94ccb6b0141d87a269d8ab912cf}} and the results of the DE model on UDCv2 as published in
| r | 3a6f0eebc54b57c57b6edeb666e68b55 |
Next, we select the {{formula:961fb520-2682-461b-92d2-bdb33f50e59d}} NNs from each cluster's centroid on the graph-level embedding space in order to find the set of {{formula:f965187c-b5da-4642-8c78-0cf7b2b30f8f}} graphs, {{formula:74a9d9ae-8d46-4374-848f-f26739db4030}} , for each cluster (see line 4 in Algorithm ). T... | m | 83b0b707d921434cc5788a7d467cfc73 |
The work presented here extended the previous work of Bonifacio and Preparata {{cite:85f2819e4719634b091d60c95195b135d7d858e9}} to develop both a short-time and long-time solution to the differential-difference equations Eq.(REF ) for the quantum amplitudes of various relevant `in-states.' In the short-time limit defin... | d | 9761631d5f7861213b82803350566eb5 |
Our saliency maps are of good quality (see Figure
REF ).) as shown by the visual
comparison with some of them and two state-of-the-art models
(“Hierarchical saliency detection”: HS{{cite:af7a7e5f1f7253926d661d5724a1057e72fb08ad}} and “Hierarchical image saliency detection on extended CSSD”: CHS{{cite:6be602f8b4153362b... | r | a13edfb53893779089baaba53060dae4 |
Besides, inspired by ACL {{cite:7a73d767cebfffcf549d5b965450d1340815a4ae}} from continual learning literature, we adopt an adversarial training scheme to make the knowledge in the global net {{formula:a31c1c91-186c-4f97-a15d-511de7f2b188}} be task and domain-invariant. Similar to the GAN pipeline, the global network c... | m | 4e28d3fda412098cbcda1f7d60696f36 |
where the function {{formula:25211ec7-4e76-490e-b21c-ede1ab67084e}} is the density of the Lévy measure of the hyperbolic cosine function {{formula:6cd17471-876a-42ad-91f1-a4ac635418ea}} .
Formula (REF ) is confirmed by {{cite:b4ae5368c8d333de4647de214230fc0950fdb3fb}} and (REF ) was confirmed numerically for {{formu... | r | 23ad8dbc94f90d421a6881e72984abc1 |
To efficiently obtain the unitarity cuts of the four-graviton amplitude,
we use the double-copy construction {{cite:5e427eacb8441d200403bdf500b1df32f78d2976}}, {{cite:3e7b66cbbf60201f471abf9e6be6beae43709e63}} which expresses gravitational
scattering amplitudes directly in terms of gauge-theory ones. Here we
use the BC... | m | a58c70351ea329eacc53eff6f044cf14 |
Game theory was initially evolved
to investigate different strategic
situations with competing players {{cite:2dd2a452f77404f3fbb1470e37450ba89701e9e2}}. Of late, the concept of game
theory is being applied to
different statistical events to
measure the success rate when one’s
success depends on the choice of the
other... | i | 28e36194c01374d0388fb5f299855a7c |
Shape matching is an extensively studied topic with a variety of different approaches and methodologies. We summarize references relevant to our approach here and refer to recent surveys {{cite:c5188435cba62ee7974ba4f559f3f3809a4a2fad}}, {{cite:0fc4c942660f34c683db97ccbeb2250a527d6da7}} for a more complete picture.
Cla... | m | d89685e98263eb623fbd13c7ff6099c9 |
There are ripple effects to our interactions with recommendation engines - our data goes on to be used in other settings as raw data for other algorithms. Algorithmic assemblages, operating in "networked information environments" {{cite:993878c7472721f6695bd13920b334e3473c8637}} do not only produce individual distribut... | d | c0e9895ae8b06490049b0273fe4afabb |
While early level set methods are “pure PDE methods" which construct the evolution equation (REF ) by first defining an evolution PDE in the Lagrangian framework and then converting it to an evolution PDE for the level set function {{cite:26f95fe1efec2172843736aa9e59e5dae3c90a7a}}, a method known as variational level s... | m | 325d5c49aac57613fcda8f3cc8c7a8e3 |
In order to keep the modality constant, we first convert the MIDI files to audio using FluidSynth {{cite:f0cf57107df870855a89c5e768088e4b4bb1b5ea}}. We then transform the frame-level audio patches to image spectrograms using librosa {{cite:09645769f7e0365f09525f2abe881f3999d2c6fa}}, a Python library for audio and music... | r | 6a7f3253369a19eed17ee460ed67997b |
These results extend recent findings on the similarities between brain responses to speech and deep learning models trained with biologically-implausible objectives and data.
First, fMRI {{cite:0f0c696997c708cd115a3181c774f641be71646b}}, {{cite:c439fa510b1a61f5749ca1d0fcdbaf49c9de80d6}}, {{cite:ea76115b2c8c463fc78bbd84... | d | 6077bd865bee2d245f5b119280499eec |
Our modification involves a certain projection of one half of the celestial diamonds so that there is only one radiative soft mode. We then showed how to extend this to operators of any weight, so that we can go to a basis where the corrected shadow transform is again a conformally soft limit. In the end, we've seen th... | d | dfb19ba5742f5d7e95c636ac26f87204 |
When dealing with the “complete” evolution equation (REF ), it is quite clear how we can recover an estimate of
{{formula:f8afe4e1-b9d6-4375-a67e-a13a63de9ae0}} starting from the equation (see the Caccioppoli inequality proved in {{cite:f06e8a8e2bbc69944476b9f448e59eb0876d33bf}}).
However, combining this information (... | r | 70b067fc122a0cf1d9ec0e05e379c4e2 |
We evaluated 10 machine learning applications that are representative of the three most commonly used neural network classes — convolutional neural network (CNN), multi-layer perceptron (MLP), and recurrent neural network (RNN).
black
Table REF summarizes the
original models
and their baseline accuracy, which is asses... | m | 5080491ecfa061aec34bc9e0750459a4 |
Considering additional "forgetting" to provide space for information prospection. LTD, which represents forgetting, is as important as LTP, which represents the memorization of the synaptic plasticity, because our brain may be exhausted with the influx of information if no forgetting occurs. Moreover, the idea that fo... | d | d1d5c91236b04a14f3ba1e6934d8cfb2 |
Potential game was firstly proposed by {{cite:716a0b007a34db5ddf18c94b3be8e4daecf2eba1}}, and then systematically developed in {{cite:e40c668e43a2ef23cef3be56ec1294d35258462d}}. It is of particular importance in game theoretic control {{cite:f88bbb732a8ba478fab36aab13a7b8abd743aa33}}. Various problems about Bayesian po... | i | 33fcfe4341d01175b3a82318fdd3855a |
The basic components in InstaHide schemes are inspired by computationally hard problems derived from the classic SUBSET-SUM problem: given a set of integers, decide if there is a non-empty subset of integers whose integers sum to 0. It is a version of knapsack, one of the Karp's 21 NP-complete problems {{cite:1d9e17fd0... | r | 22ed561b6da1a7169ff541169a310e20 |
The scope of an explanation is highly relevant to the stakeholder and goals of an explanation, and is related to whether the stakeholder operates at a system or individual level. Researchers found that the scope of explanation can influence whether or not an individual thinks a model is fair {{cite:64a5b3980eb403457a6b... | m | 89c6d553b719f1a083cf49ff7aed236f |
Using the top-1 accuracy to measure the model performance on ImageNet is challenging. The ImageNet dataset assigns one category to each image and the top-1 accuracy tests the model prediction against this label. Although the top-1 and top-5 accuracies are reported for the ImageNet models, the top-1 accuracy is the comm... | d | 01f2081ab3e814c7feadbe6b42c19e31 |
We build upon the method proposed by {{cite:95dbb933ef33ec1c34152c1b5bd8898e96755a89}}, which estimates trustworthiness in predictions by a classifier.
The central notion behind this method is that similar instances should receive a similar prediction, which is also the core idea underlying case-based reasoning methods... | m | 6b5cf58dd9d6d0334a9e0d7c25b368c9 |
As an application, the scaling relations of {{formula:b7fb943a-c01a-4f8d-b096-df566f7b805f}} -{{formula:e263c930-aa34-4103-b58a-5b3811c19095}} would be
useful for estimating the contamination of SZ effect on CMB, which
is important, especially, on small scales {{cite:4847dfb494abf5d5e423ab3981a68263bcc77614}}.
Recent ... | d | a897aafb7c902790b016f618f2c65385 |
The LQR in (REF ) uses the same matrices {{formula:85c4aaea-c9e6-4411-b767-ee234a9ca06b}} for its cost function as the MPC. The MPC's predictor model has been discretized at {{formula:3867af6a-2481-4110-bb5a-f7be322ce731}} while it has been recomputed with a rate of {{formula:5b560650-2d72-4ac6-a8bc-5341d1db3862}} , ... | r | 2e975050c9d84d64682504e1c4ea8796 |
where {{formula:34d0c30e-01e2-4a67-95dd-27f4f280c750}} is the load of the initial attacked node {{formula:29c6e5cf-72f3-4a4c-b8cf-14da316274af}} . {{formula:5b3e2b4d-5444-4a7e-abe8-00c8f5ba3d46}} is the maximal load of First Failures triggered by the initial attacked node {{formula:bc13de4e-e797-4eb7-b351-3bb52785ea5... | r | b3084a9e6a680ade9e3658f298f4070b |
Moreton waves are a kind of large scale atmospheric wave which occur in the solar chromospher. This kind of wave was first observed through H{{formula:b8630dc3-0840-47bf-805b-fa3187a32121}} filter by {{cite:b9c0950b3130e510f53e12c5434e99d54a16c5f0}} and have velocities in the range of 500-1500 km/s, and the angular ex... | i | 78f0a65e68bdf5a732e1d7294fb7d0f3 |
Over the past few years, many UDA methods have emerged, which can be roughly categorized as two types: 1) difference-based methods {{cite:f0d214fbeef1ae2330708c02dccc11cc7d27eb43}}, {{cite:971df6a3c8ba1e91ac368141e456d241aee95478}}, {{cite:2e8b6f4e708af2391a09e40ecf8dd894eef4ce80}}, {{cite:bacf3475d60a26cb71289214ce7ba... | i | 93c1ad5922bd11b6fad95f3cbad760b0 |
NAVER-Catcall-Yellow and NAVER-Posneg Results. Table REF shows the experimental results on NAVER-Catcall-Yellow and NAVER-Posneg. In both cases, ST shows the best performance. Applying ST in NAVER-Catcall and NAVER-Posng shows a performance increase of 16.89% and 2.4% in terms of F1-score, respectively. Applying ST ha... | r | 94336fdc66a87c8af6078130f611a77f |
We compare our method with several representative unsupervised hashing methods, including
LSH {{cite:4bdf03f7b85a3b4f4e21726c225394972fd2babc}}, SKLSH {{cite:98f23da4f13f0b435e39b3a6ae6ccce65de24bf0}}, SH {{cite:878eab544f593cd889382c13e25778493201575c}}, PCAH {{cite:28f360e8add25dcf7b459c9db390c73ca58388d1}}, ITQ {{ci... | m | 40562a14a2e8910e569a02784ed1d899 |
To achieve this result, our construction is randomized, i.e., some weights of the neural networks are selected at random, and the simulation of the WL test is correct with high probability {{formula:91596553-37ea-4c2c-8708-8852ce10dd22}} . Thus, our construction can be viewed as creating a distribution over neural netw... | r | 48a58a292ee9c7872446b4399c7fe1e5 |
There are many centralities for characterizing the importance of a node in a network {{cite:cf7e7504f8a0c8286dba82957b5a708731ccdeb8}}. Among those, local quantities fail to give interesting information about global structures while path-related measures are more relevant to describe the large-scale organization of net... | i | 612ea231f86971cfeb112c10e3a792dd |
At the moment, most datasets proposed in Continuum are image classification based. We plan to add other type of datasets such as segmentation and detection {{cite:72cae4009eded9d84e8f10c888a3ff2ec4e28eae}}, {{cite:e08292ec8ce988dbe5ebc914812786c72c161af4}}, {{cite:9dd4430dcc4c18fe89b2c4c5d37420cb0e18c01f}}. We also pla... | d | 49d48d63694acfe90343543206ac4b21 |
This difference in color structure of the quark-antiquark and quark-quark systems make possible to extend the quark-antiquark model to be valid in the model of quark-quark system, just by changing the color factor {{formula:58914c55-85f8-478e-aac4-9b7e2e448bd6}} and the string tension {{formula:c0ab7253-3ad0-4314-8450... | d | 6460d848886cf39b9579d509ff3be39c |
Another important application of the GCA is the precoding of orthogonal frequency division multiplexing (OFDM) signal to reduce its peak-to-average power ratio (PAPR) {{cite:943cc3cedd557123f4b7203064dd8891699df472}}{{cite:7f787c56c58b19f3ccda1a1c25eb5fed5a29c20f}}. However, the code rate is restricted by the total num... | i | cb38f43ccea1ca0b626c86c6594dc9e3 |
Among the main issues in mathematical optimization, optimality
conditions play a key role in the theoretical understanding of solutions and
their numerical computation. In the beginning, such conditions were
established for linear or smooth optimization problems. Later on,
developments in variational analysis allowed t... | i | 7f01d65d2bc17565ec3d98c9bf162208 |
Adaptive synthetic (ADASYN) {{cite:aa586f5552a791976fd200bce51121c58486a92d}} was given with the goal of eliminating bias and moving the classification decision boundary in the direction of the hard examples. The primary idea behind ADASYN is to use a weighted distribution for different minority class examples based on... | m | bcfb3e1dbbe60a816b2afd70818b99db |
Fig. REF shows the {{formula:40328ada-63df-4cf5-bc4b-2eebbbef52b4}} reconstruction. Whereas its left panel shows the results obtained using {{formula:ac17b596-69ca-4613-a293-3022116f3f5d}} measurements, the right panel shows the results from SN Ia data. In both cases, one can see that {{formula:07ad8d1d-bac0-426d-b2... | r | b2bef23ae07b1768238d4e87ea255be1 |
The nodules are significantly smaller in size in comparison with lungs. Therefore, patches of size {{formula:ba5c6047-6f16-4d01-b191-63245e4c40ce}} are extracted from the region segmented as lungs in each slice in Stage 1 for further processing in Stage 2. A LeNet {{cite:c1ae5e0cb695b335aa5e8e8cf5cdf63339ee06cd}} base... | m | 0ac13973dcf361009855347be5e38e2b |
Infinite dimensional frame theory, originated from the work of Duffin and Schaeffer {{cite:fe2abe974fbf7d3ec807ee1e3d0141dccc0287dc}}, {{cite:0101d6823bc037c5619137adf105d5450c712f74}} influenced the development of frame theory for finite dimensional Hilbert spaces towards the end of 20th century and theory developed r... | i | 4e828c2113de7ec6b2be41fefada46af |
The second issue in LD is how to choose good teacher model.
An intuitive choice of teacher model is the detector with the highest accuracy.
However, when the gap between student and teacher is too large, LD may be less effective.
To address this issue, we further introduce the teacher assistant (TA) strategy {{cite:e33... | i | 6efbf33a6d65187b1ba54bed76df7831 |
On the rôle of the visual modality.
The qualitative results indicate that there are still cases for which it remains unclear how the multimodal system uses the visual component.
Previous work in the context of both multimodal speech recognition {{cite:90cde02918c65bc28e4b7dd976a669e04a85a7c3}} and multimodal machine tr... | d | 1642bce9b7feec79e90ab7795bf54583 |
We wished to verify that the results illustrated in these figures are indeed improving because our clustering technique was finding groups of similar users, which allowed the prediction techniques to learn more personalized classifiers for these groups.
For instance, it is conceivable that splitting users into groups a... | r | 0ed182243ed760043f5ea8d25619d7c0 |
We compared our approach to other competing methods, including, for completeness, those which can only work with differentiable oracles. For models that originally used a GAN prior, we instead use a VAE prior so as to make the comparisons meaningful.As shown in {{cite:7af37625a51e0e26ae6fab4d5709a9a3f9c98c28}}, the GAN... | m | 2098124e9bb9ad62567c9f1c5608de19 |
To calculate the Bromwich contour integral (REF ) we first note that {{formula:98400488-8f7e-40a5-95f2-c358eba7a6a5}} has a branch point at {{formula:2c2f4a09-2d82-476d-a925-98c0f234914e}} . Therefore, we use the contour of Figure 1 with a branch cut along the negative real axis, cp. {{cite:212925962d93317b674ee0da280... | i | 9edf61accfd30aac159e9cf1c5086197 |
In this paper we see that the JT theory describing the near horizon dynamics of near extremal BTZ is more capable at describing the departures form extremality than previously explored in literature {{formula:5ea35aad-825e-467b-b1bc-9dcfb94c1e45}} the constant angular momentum departures from extremality. This is made... | d | 9f1f834f7cff0bb81fc2e43a27e4c5b7 |
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