text stringlengths 54 548k | label stringclasses 4
values | id_ stringlengths 32 32 |
|---|---|---|
Recently a similar idea was considered in the framework of light-front
holographic QCD (LFHQCD) {{cite:f6bf7870ec4d2e82702b736e0c1a4b932219373e}}, {{cite:ab8555cc3b965157ee4b619ee649d507565f4eff}}, {{cite:ab6015b802a553c6215ce7ecb0d1b3c2e62b9a97}}.
In particular, a function [named as {{formula:c3f2c49f-08e4-480b-9da4-f... | i | 2e1b3d7dcaadc1c44148db25e5daf516 |
GNNs including the state-of-the-art methods suffer from a class imbalance problem that typically deteriorates the performance of multi-class classification. Interestingly, the simplest algorithm SGC {{cite:8879a6790d96589416229ebea979d602a998233c}} outperforms recent complicated GNN algorithms in a class imbalanced se... | i | 6f0a6dac9f469810e4833f91ec4d00c6 |
Given the sensitivity improvement to massive BBH signals with higher harmonics, we deployed our new search to analyse the publicly available O3 data from Advanced LIGO detectors {{cite:7efc8d748d564f429c87fd05ec3674d0fdf33d11}}. To do this, we divided the data into nine independent blocks of {{formula:4f9fe519-f0a8-4fc... | r | 343718b423064f2f342f63bfa5deb924 |
We first make note of several useful results about the solutions to the equations (REF ) and (), which have been proved in {{cite:b584bf90ab59c9aa622140dcfabff28c4e6d1e4e}}.
Before proceeding, first recall the following mapping {{formula:f54ee7c1-4b58-44b9-a193-2340ba0c0dee}} previously introduced in ():
{{formula:a13... | r | 382e61888005ef7c87afc4f5b00a9355 |
The Gross-Pitaevskii energy functional for a Bose-Bose mixture,
including the Lee-Huang-Yang
correction accounting for quantum fluctuations beyond mean-field
reads {{cite:35c272dead23543252a486ac9a36dc9b1684f0c2}}, {{cite:f63b5d8567d0be773833fdf91e6dbc45455bcc24}}
{{formula:865ede6a-5917-4c43-bb4b-81ae4c2b7205}}
| m | 95074449158eb8563df9ae7f2f1e45d9 |
Multi-layer feedforward neural networks have strong expressive power. Theoretically, as long as the number of neurons is large enough, the feedforward neural networks can simultaneously approximate any function and their partial derivatives {{cite:38535208945c3bae06bd611b4b8bd1bf088c051a}}. TPINN {{cite:45ef25f0cc3d037... | m | b1c1c6170eda8eb1841138379540815e |
We performed an error analysis on the first baseline's results. We first observe that, in 92% of the errors, the predicted span and the ground-truth overlap. Furthermore, in 56% of the errors, the predicted spans are a subset or superset of the ground-truth spans. This indicates that the model finds the rough answer re... | d | baf1661bfafb5e882b728318343a72ce |
Observe that the expression (REF ), () is similar
to the Lax pair representation of the two-dimensional Toda hierarchy
{{cite:7d14bee0a672a10c0b7c1bc66cae02b0bfc5d33e}}, which carries a tri-Hamiltonian structure {{cite:5ae90d64c573d06ac8a411728cb3a3256e266ce4}}.
Following the idea of {{cite:5ae90d64c573d06ac8a411728cb3... | i | cf80f25b213ddc696840c0f69b15f350 |
The direct strategy involves the utilization of one model that is capable of predicting the entire future trajectory in a one-shot manner. Most trajectory prediction methods are characterized by direct prediction. For example, early works adopted the Bayesian network method {{cite:313f2fda7e6e4df0fe090454a4e23475dc4478... | m | f1d8f456c4c56ecd5e808f6677ed1491 |
In Table REF , we provide the thermal ionization coefficients for K, Na, and H from {{cite:e4098d18cf5df93c6a400687fdaaaa9d46de015b}}, which is a theoretical work, to match the rates used in {{cite:3bf2a3a69ae73227dbf6d03f35e747af16574682}}. In the 1960s and 1970s, there were many discussions about the ionization rates... | d | dc2b78892b0759d0d8ebca14585ba0d5 |
Since the interconnecting digraph with the adjacency matrix {{formula:c18761c6-4ae9-4fa0-84ad-2f551434df01}} has a spanning tree, the Laplacian matrix {{formula:a7f113a8-9a57-456f-ba12-41e254fa1287}} satisfies rank{{formula:f1764f63-71ea-4046-9fb9-4e4e622838c3}} {{cite:8f1de30d8e7c4c59660a7626d1626006aab10a69}}. So ... | r | 0c51cb2f200b73184aa224fdc54f7b34 |
Deep reinforcement learning can be used to learn complex robotic manipulation tasks by using model-free deep policies. Kalashnikov et al. demonstrates this by proposing a QT-opt technique to provide a scalable approach for vision-based robotic manipulation applications {{cite:daf7472b31e14663630f8d6396481daec535eb4d}}.... | i | eb07ec627305d96e183ced401f357795 |
It is important to note that while the dynamics of the ODE model captures the mean field dynamics of the edge states it overestimates the severity of the disease as compared to the network model. The cause for this discrepancy is at least three fold. First, the moment closure assumed that the average excess degree {{fo... | d | 1db26ed1eb58d91af873cb3e5651e4bb |
Classic Byzantine fault-tolerant (BFT) state machine replication (SMR) protocols like PBFT {{cite:b14a8e4525e25e7ea4e7426a73fe59e93e98587a}} rely on a stable leader to drive the protocol until a view change occurs.
This limits their scalability and deployability in a context that involves thousands of nodes and require... | i | b56229d5bf1c246daa794b5729ae9791 |
To the best of our knowledge, there exist two popular methods for analyzing constrained bandits or MDPs. They are both based on primal-dual optimization and only differ in the analysis techniques. The first one is based on convex optimization tools as in {{cite:b0d7dc0960398aa8295a218163322db9126d1d1d}}, {{cite:5c261b9... | m | 5e4e6aff1473df6197ec97f7e392df88 |
Recently, {{cite:44a63f966e168780affe11cb8e4a4779148f7ec8}} proposed curl to deal with a fully ull setting with unknown cluster labels. We have developed our idea independently in parallel with curl but in a fully Bayesian framework. curl is the most related and comparable method to ours in the literature. curl focuses... | m | 4d6375c075eced6fe88addb2fa22e6de |
Topological Insulators (TI) are a new class of material that exhibit
non-trivial band topology due to a strong spin-orbit coupling {{cite:02e3e11317e51cd457de0cb4882a17e0cd4458b8}}, {{cite:af2733b13c99ec25fb58990ef12be7ced01cebd3}}, {{cite:e186add78cf10eef71be10dd2ac84325abf1e293}}, {{cite:77d26fd348096aa5c837f8ca60628... | i | 5a623e21a70b737fe1c81e0f4b32ac75 |
Most of the works on nonequilibrium thermodynamics deal with the QE
approximations and corrections to them, or with applications of
these approximations (with or without corrections). There are two
basic formulation of the QE approximation: the thermodynamic
approach, based on entropy maximum, or the kinetic formulatio... | i | 18bd2ffdc9c542c0cb292ea873dc797f |
As an aside, while it is not our goal to set a task-specific state of the art, within RGM the structural embeddings yield competitive performance to other leading methods. Compared to results from the state of the art graph isomorphism networks reported in {{cite:569e51b5f6703d8a2bbf2f03e2e1efcecbf46d91}} and Weisfeil... | r | ffcaeaf2d527370cd5da93a4e51a42c9 |
Motor proteins (MP) are an integral part of the cytoskeleton in eukaryotic cells {{cite:85d8c5515ae1796b501adc5adde4cda00d274a08}}, {{cite:500d62cfd35a494764c86a28e8a263f942642be9}}, {{cite:fe61cc207f61809922dfdec39182885a869a7944}}. They are involved in a wide span of functions in subcellular processes, e.g., intracel... | i | ab9bb98b711e96a7b135a1e62db6879b |
In this work, we approach the resource allocation problem through Centroidal Voronoi Tessellations (CVTs). Even though they date centuries, Voronoi tessellations (VTs) have been found to be immensely helpful in various applications ranging from health to computer graphics to natural sciences. The first documented appli... | i | 298e392475258d73d29ea4e222a6c043 |
A significant difference between our results and the conclusions of the
analytical model by {{cite:8a9620ecd6610717eb7d1f8abba5f19cd9e36ab3}} are
characteristic timescales for propagation of perturbations. According to the
analytical model presented in {{cite:8a9620ecd6610717eb7d1f8abba5f19cd9e36ab3}},
characteristic p... | d | 5634105c645ce1e8d9dc4efcdf41111a |
The model is composed of three layers: a character-enhanced token embedding layer, a label prediction layer, and a label sequence optimization layer. The character-enhanced token embedding layer maps each token into a vector representation. The sequence of vector representations corresponding to a sequence of tokens ar... | m | 5f952b680884bb1eeed2dc56d4b5b8ee |
In this section we discuss about the undetermined coefficient {{formula:30af8841-c748-4a1c-bef8-17e505b88876}} for both photon and gravitino cases. To determine this, we begin by studying the behaviour of actions (REF ) and (REF ) for the photon tunneling first. Apparently, one might think, for a zero rest mass field ... | d | bb08815d1535d4ff8ac4c80684349043 |
We will use the following inequality about sub-gaussian random variables. For a proof, see {{cite:1e3f17d00954986c3c1bc774cdcaa0d0771de85c}}.
| r | 1b79182542f0f81320be483c68ac832b |
We explicitly showed for the Schur index of {{formula:a757ba78-2dad-48df-82d6-bfd270746f11}}
that different choices of the expansion domains
give different functions for
single giant graviton contributions
{{formula:fa5310a5-82ee-4037-9af8-687940146663}} ({{formula:0de04143-60c7-43ad-819f-10d761b6a498}} ).
If we use ... | d | 5a875f63431cbe1064ba47e309434204 |
To illustrate the effectiveness of BRPO, we compare against six baselines: DQN {{cite:1b8ad81339f2c6a59a0142cd70f555bd83fa6568}},
discrete BCQ {{cite:8fd886b0663fe3c98fc084cea339ac974144b332}},
KL-regularized Q-learning (KL-Q) {{cite:27d33ba10f98de640464635ad6d8729e442c6f2b}},
SPIBB {{cite:d829daafd4ab6b375e0f6fd1a56cb... | r | d1afa1690030f73c0f960743b0f20fbc |
Our goal is to convert an input of {{formula:e6d1c42e-4f13-4f65-8f0b-91b84c7994fb}} into an {{formula:e040250c-34fd-488c-a8d4-14d7a1f846d5}} . In a nutshell, our system fine-tunes a text-to-image and super-resolution Imagen models on pairs of {{formula:25831f3b-ef5e-4a9b-b387-5e50b3c31637}} for a very low number of i... | m | bfce1fb42f65f236c36f8ced0bb682b1 |
and {{formula:690ceb67-f763-495c-9c88-f7aecb7cbfbf}} on {{formula:ea2dc05d-e6f8-4a60-b574-597e0d3e0c2a}} .
Parabolic regularity theory (see
e.g. {{cite:5fcdd7c24745d0f2e210610ac9bc73825ffae930}}) implies that
{{formula:e22e4c29-a27e-45e3-b0a3-f8db1cabdbe2}} and the second derivatives
of {{formula:83161732-146b-4373-9... | m | efdf7ce375eee7b83f2f68afc0d3a6b1 |
Overparameterization is a necessity for continual learning so that there can exist an infinity of potential optima for each task {{cite:dce21b06c2786a0d8867ab673fc3e27016da5b57}}. This makes it likely that there exists an optimum for some task B that is close to the solutions of some task A. We provide experimental evi... | d | 0d554cd512a1adadbfb79c910622cd80 |
In {{cite:e81f4d4caa439deca66b2cfacea39bff55cabd7b}}, Margulis obtained asymptotics for
the volume growth and orbit counting for balls of large radius, in the setting of manifolds with negative curvature.
Similar asymptotics were obtained in {{cite:8b253fe4c64362595597c6cb5c8aa83f3464feae}} for the Teichmüller space. T... | r | c23a7e2ab19f665ff4fd4a8cde7a720a |
Our estimations indicate that the depth of field submergence for the considered population of young neutron stars is very shallow, possibly leading to the selection of these objects as rotationally powered pulsars. Smaller space velocities result with larger amount of accretion
and very long diffusion time-scales of bu... | d | 3d156cea64b02082767f426e5da6a519 |
To facilitate our discussion, we assume equal transmit SNRs, i.e., {{formula:4d03151f-d9c0-4ac4-915c-0b2f68183ce2}} . By identifying the asymptotic results (REF ) with {{cite:2eeb1849fe7e61f28b44801f5b7007a3c9f50365}}, {{cite:054ca9d8210a2a48538070c611c5cad447f7c54b}}, the asymptotic outage probabilities of the propose... | r | 6baddddad22d8943d190db27e23c7906 |
The quantum anomalous Hall (QAH) insulator, which was first proposed by Haldane {{cite:3a49f3c0e1ccdb413e70a382cb98a9b24a17ebc4}}, is another key member of the family of quantum Hall insulators. A QAH insulator can have a quantized Hall conductivity even without an external magnetic field that breaks the time-reversal ... | i | 9f6332eeb8e4949292a4495da343b889 |
Early work conjectured the existence of a non-linear path of non-increasing loss between solutions found by SGD {{cite:674c01cec477f0266f521a569526deae6a528b70}}, {{cite:aa4b4b06aed6952e3707101c0de719599d5b5040}} and empirically showed how to find it {{cite:759ce6853b367baa3726eb869c2ae7dd6dd55de2}}, {{cite:2b4a5d9e684... | i | d6a0ac6a5b871c605e7f709841a767fc |
Architecture. We use i-ResNet as the classification network {{formula:1a0a3dde-d8cc-46d2-b3fe-8bdf154cd14e}} .blueWe report additional results with another invertible network i-RevNet {{cite:535371f950640f6ceb4fe2a0649ad72ea15cc54b}} in the supplementary material.
We mostly follow the recommended configurations in {{ci... | m | b6b4d228cb46a4b5f92e8731500fa15f |
We also find that the “naive" identifier performs better than the “clinical only" identifier across all diseases. Its performance as a baseline draws parallels with a former study on multiclass classification problems ({{cite:4a39d75d33e19e8ac5f338898aa51473bedc95b6}}) which shows that maximum softmax output can be use... | d | 6260b72364694bad1b67d50691d92be8 |
The flood images are shown in Fig. REF . ClimateGAN++ {{cite:ab0ff59dd99a88c4ca35c71ed3e248313ac838f4}} cannot reconstruct realistic reflection on the water surface, Stable Diffusion {{cite:603ab2cd883444611b2da3f33cc820583a52c64e}} synthesize realistic water appearance but also produce random objects (e.g., cars, sign... | r | d70ee80b69880c881590f0b2e42bf520 |
The quenching factor accounts for missing correlations and missing
many-body effects in the transition operators. The truncation of the
full Hilbert space to the reduced SM space has the effect of excluding
all correlations between the model-space configurations and the
configurations belonging to either the doubly-clo... | r | 8fea909a928b67f564374bba7a327292 |
Empirical evidence suggests that teams of either high or low expertise diversity may possess the potential to develop original and high-impact research.
But the level of interdisciplinarity in the approaches implemented by high-originality or high-impact teams varies substantively, which can be predicted by the team me... | r | 5cb061b515c75ac8ade94a1d822e920b |
In the adaptive Metropolis (AM) algorithm by
{{cite:99076bd567c4dbf2c59a3893b61711d4eb1e56ff}}, the covariance matrix
{{formula:c7d392af-ad6a-4055-b491-61bc7ddb158c}} for the step {{formula:cfec1908-1a3f-40b7-8b23-ffb662cc3f91}} is estimated as follows:
{{formula:dc41d3e2-75ac-4f95-8bcb-afc28ffb32f8}}
| m | 5500952e44cdf3d370caccddd566e5ea |
In this paper, we have proved the conjecture of Anshu et. al. for {{formula:cb4c53fd-a629-426d-830c-07c292f6f6ac}} by proving that {{formula:39037b6f-0543-474f-a486-1ae497764dc5}} .
The conjecture remains open for {{formula:78813bf6-086d-4647-b6aa-29bf31bd781a}} .
Consider any neighborly {{formula:7e35787a-7854-4688-b... | d | 03f89a64e2ba8eeb6fbee7e815b9472a |
By neglecting mesons' fluctuations it is easy to solve the gap equation of chiral condensate at finite temperature as well as chemical potential under rotation. As the phase diagram shown in Ref. {{cite:68c51e0b045efcf851d1d0606b9cf881318ddef8}}, {{cite:a1f8ac6e394aee396b45405d238dd31d4e390f97}}, {{cite:6006d615733b9df... | r | e398cc959f0ae5e90539ee3ff770dc68 |
Outdoor scenes. We used KITTI odometry {{cite:8547e8c43d37c82569452a95c62b47356fd9bd90}} dataset (sequence 0-8 for train, 9-10 for eval) and sampled image pairs with a min rotation of 15{{formula:70693c52-7d11-4e07-b45b-9964c2d5f8eb}} and translation of 10m (36K train pairs, 1K test pairs, mean translation {{formula:c... | r | 3b02243f53068635b708269cbd5530cf |
Estimation of equation (REF ) using the fitted values of the participation probabilities for {{formula:4abcd621-68f6-41ca-a9bd-b7635a019c29}} yields estimates of {{formula:dd758833-3d5e-48b2-8bf4-28ad0655b66b}} , {{formula:5589894b-9073-4974-a2f3-2f27820f82e4}} , and the parameters of the {{formula:6dde463d-edc3-... | r | 0a63b8f310596ef766a4fd94c3f6e912 |
Overall Results: Fig. REF presents overall performance on ZSD and GZSD tasks across different comparison methods with two different seen/unseen split of MS-COCO. In addition to mAP, we also report recall (RE) to compare with {{cite:9ae6970ac0d39e75833e9c2d317129be6e6b9d5c}}. With 48/17 settings, our method (and baseli... | r | 1acac8e392f1ba05c028e636e62dbf01 |
We compute the unsupervised explanations for the penultimate layer of our composer classification system and test multiple NTD ranks.
As in {{cite:d2cf2f11b4b429bbc907e51f4ad1320f893ee894}}, we present each concept to the user through the five piece excerpts with the highest average concept presence.
The presentation o... | r | f64a5568bce935e3a2811225e2e697e1 |
All these characteristics align well with the design choices of CNNs: selecting local features and combining them locally is the natural structure emerging from the image classification task—it represents the winning ticket that can be more easily trained.
While other features like weight sharing simply cannot be repro... | d | 39835ba4afa63f72b16d944c7db67dca |
Kingma and Ba {{cite:a9c04d1f565ed2500eb837182944256f72a3f194}} tried to prove that their Adam optimizer zeroed the error-measure known as regret over time, in a learning task called online convex optimization {{cite:580611794a4fda0ec286700ce4c57d3415b8d262}}. Rubio {{cite:18fbdf491859e30e56c5e3626bb34b6ea1d426f9}} and... | i | 5827d3011e51d4e86f69751515308238 |
We designed experiments that helped us to comparatively evaluate the performance of 10 state-of-the-art CNNs models on three classes classification of COVID19, normal, and pneumonia classes. This list of considered CNNs architectures consisted of models as; the famous VGG and variant {{cite:b82a23c2d2b05787dabce042b1ef... | d | f53abe5ac37ab75c383ba804c6737296 |
More generally, we identify the novel direction and length extrapolation gSCAN tasks as a particular kind of compositional generalization task that requires generating OOD output sequences. This “decode-side” flavor of compositionality is germane to many seq2seq tasks, including visual question answering/automated capt... | d | 49ef4690292e806c5b082ee10f475d23 |
Considering the success that neural transformers have demonstrated across various natural language processing tasks {{cite:06a9f693411cae10d8e1012fcf1930fe0be0e9a9}}, {{cite:f1a13c388931b2929336401fda835538e9482c45}}, {{cite:9d1a596322f69ba5e3856ea6b5d488ffdf2b1540}} including offensive language identification {{cite... | m | 7abd828c8ba9db268f8021c914971ff2 |
Figure REF demonstrates the relation between the effective tidal deformability {{formula:7a985eec-391a-4ccb-a72a-7756cbf1a67b}} and the radius {{formula:200ecf48-f687-4b20-be6d-5dfbfad63778}} of a {{formula:bd1365ff-b468-45cc-ad0e-1980e915bb9a}} neutron star. As a reference we used the range of the component masses... | r | 8fa4e124fd1cdaf15bf3b211254099be |
In Fig. REF , we show the measured {{formula:2a59d269-6dab-432a-b367-844eec91c6ce}} for hadron combinations with ({{formula:71425aa2-bc1e-48dc-8cbf-1da1a4bf458a}} , {{formula:e57c7ead-be0c-41bc-b802-4d6c0f64d33a}} ) {{formula:cf5a5868-6855-4eaa-9a82-1a5084a06869}} (0, 0), (4/3, 2) in 10%-40% Au+Au collisions at {{for... | r | f8d4736d91179fff53a5d641ed64053b |
We describe three methods which are based on perturbation of the input. These methods are inspired by occlusion analysis {{cite:88f9d98ca80e16396969300dd801011946d85e56}} and are model-agnostic (access to the model structure, weights and gradients is not required). The input is perturbed in ways described below and the... | m | a1990c438bb6c152e0a5f926d9651e3b |
between the two objective functions {{formula:cfa071d4-a432-4d3b-bb8d-255fc634ff09}} and {{formula:5e2e377e-2069-41f5-92f6-340df314c7a6}} , for different values of the parameter {{formula:0ceb2434-3666-4545-a246-b5459fa784be}} (an adaptive version of the method can be applied in cases for which the classical weighted... | d | b564873801a85dd296ed88744fb13141 |
In this paper we propose a novel TM matching and retrieval method based on the Universal Sentence Encoder {{cite:6e051e1a8bd60f0ae0e72874095cf5747b3a2445}} which has the capability to capture semantically similar segments in TMs better than methods based on edit distance. We selected the Universal Sentence Encoder as o... | i | 9112945e0856c3b5c89238ca7e135489 |
Over the next few years, progress continued using a combination of methods. These include improving the generative model architecture with modifications like multi-scale generators {{cite:b4e5df23bbad25ef33f33101ba54d27063ddc3b9}}, {{cite:c1aa70206ba2800f9e893bc2cc4d310efd482d93}}, integrating attention and auxiliary l... | i | a073b03c424a82b06b9702a6afcb413c |
Following {{cite:d8bd4ce471337c1e2b30e7773dc5ea8974db67d0}}, we represent 3D shapes and 3D sketches as point clouds, and train the model via a Siamese training with a triplet loss {{cite:fe585732c264dff4edb8848f0d8ffea45c8afc3e}}, {{cite:b773f9ebbc97a5e38bc39e6c71d69174685c132d}}, {{cite:a0746cb82c23d33adb62fa62847084f... | m | 6d39b7eb8f0d60b79b382b1fbc4d8b40 |
The organizer baseline F1 scores for the validation and test data are 0.58 and 0.654 respectively.
The details of the baseline are given in {{cite:f86e0bd83224c11acdf376a0af76cff2f9d20e9a}}.
The obtained results with our submitted runs are given in Table REF .
For SkipGRun, we achieved 0.6913 of F1 score with 0.6952 an... | r | 40a17a3dbbecaf2d288c3617c6b196b2 |
Next, the computer vision community has recently begun using Fitzpatrick Skin Type (FST) categories to describe skin tone in images, for the purpose of evaluating algorithms across this measure. This methodology has been proposed in studies of gender classification {{cite:7df3012e5a33cddc24fca0513d79df81b76170be}}, bio... | d | f2bd6177644b5b4ea3a1dc95702f3bd9 |
The similarities between chemical enrichment of the IGrM in lower-temperature groups and the ICM in massive objects is further supported by the shallow dependence of gas global metallicity on the system mass (or temperature).
In contrast to observational findings, where lower iron abundances were typically observed in ... | r | 2956cfa50cd8c183df4d7248d9ebca87 |
Going beyond biomedical applications, the generalized form of the Sticky PDP is presented in Section of Supplementary Material.
In addition to extending PDPs to discrete time series type data, the generalized formulation offers a diverse palette of parametric and nonparametric
models for capturing the distinctive feat... | d | cc1d41c8113b970247668e39136f518f |
We have shown that the EMG model leads to a larger value of {{formula:b67df730-312b-4c08-9672-290e4380ef88}} compared to the {{formula:080d4130-666c-4aaa-8a7e-31b08a68a439}} CDM one. Therefore, we would like to test it against weak lensing data. Strictly speaking, this would require using data from e.g. the KiDS-VIKIN... | r | 13e40a24528c95b851184e658bf719ef |
Could Commonsense Reasoning improve CMC?
Commonsense Reasoning (CR) is based on the set of background information or world knowledge that an individual is intended to know or assume, and may be missing from context. On the other hand, Pragmatic reasoning, which the current CMC models cater to, is based on the derivatio... | d | 615dc50046ef3e677694c9ce9b5579a4 |
The number of passages mentioning some SWs is very small
(e.g. {{formula:8984c58b-ffdd-48cd-b430-0c2a7ae2b54a}} for {{formula:4f8c046a-7bff-4a82-a9a9-399cc2e5446a}} “Sakhmet” in Table REF ).
It is therefore necessary to explain
how can we draw reliable statistical conclusions
from the analysis of such data (FAQ REF )... | m | 4050c4a5ce8a38c7cc5751973e5123c5 |
In this section, we describe in detail the framework of LimeOut that consists of two main components: LIMEGlobal and ENSEMBLEOut. It receives as input both a classifierHere we focus on binary classifiers that output the probability for each class label. and a dataset. The first component then checks whether the classif... | m | 95a6d0d80e8516cb6f07f7c8094a9eae |
thus we infer that {{formula:690213cf-001e-48e7-97b3-c2e9b6879cc9}} if {{formula:072c20f2-f490-44ee-9155-ede470c2b039}} . It follows from {{cite:f8437e3abd1db9722df2f3b421d70ef739e98367}} that {{formula:95066522-edf1-4db3-9d46-05bf9ff43e93}} . This contradicts to the condition {{formula:5fec3f02-7807-4dd1-bdf7-ba35c91... | r | f32d512aab6ab771b4c56ed61a70c884 |
Multi-Cues {{cite:c4a8e7d6ed0bd07b7351d5f0bb97deccee4700d0}} calculates two similarities in separated embedding spaces and then averages them to produce a final similarity. The proposed method has higher performance compared to Multi-Cues. The similarity aggregation strategy is the main difference between the proposed ... | r | fa6315037b5149584caf1c0ce5fe20bf |
In 1975, a so-called Randić index was proposed {{cite:06a5e0ec445856e922f09dd80e08ba740079ceb0}}, it is
defined as
| i | 8c9b321d30386db7819e274f84509a87 |
We study the co-attention module between language and vision and the interactions within this module. To study co-attention in two-stream vision-language transformer architectures, we evaluated visual attention in the model by comparing it against human attention maps. ViLBERT {{cite:42d3cbc200fde2ce44f30a996dbeb477f13... | m | 753a417e4d1ec36680efbdd00efe0d91 |
The linear system of equations (REF ) can be solved using a
direct or iterative approach. If {{formula:05d688ae-ed5a-4981-8042-3e6e13b1961c}} is relatively small, a direct method
such as a Cholesky factorization ({{cite:2f04505261e20e3be332732d9cc9eab1989c1a1f}}) will work well. However, for
large {{formula:9b5924ef-7... | m | 8dd70ba91eb00418bc1cee1eb6545f91 |
Maulik and Okounkov {{cite:92dc73f1738d8e302740e53f0ecaf923dae151c8}} have set up a program to realize representation theory of quantum groups of various kinds on torus equivariant (generalized) cohomology of Nakajima varieties. A central role is played by the stable envelopes, which are maps from the equivariant cohom... | i | 0d063a9f31b950709f64cfca72b275e7 |
In this section, some related studies in {{cite:43e9621a43c7266c8996eb22fb8a470579c46ec7}}, {{cite:9e70c9ffc9f6618140ed4e05b955b9238601a847}}, {{cite:b3df05b74febb3dcec8fc1e9a20aca5db6e416dc}}, {{cite:038e838775a3c9b180cd9ad917e7eb6927435cb8}}, {{cite:20ad01a2eb13036effdf18ed0342800453e62989}}, {{cite:645b771809f004fc7... | r | fda59ad4df55dc0a94ab6c372c477b5d |
Undoubtedly, a general problem of these task-specific semantic researches is that datasets are insufficient. Some data like driving behavior, risky scene, and even car accidents, are extremely hard to obtain. Luckily, in 2019 and 2020, an increasing amount of high-quality semantic driving dataset appeared. Some of them... | m | cbb310acdae41fd330acfaae5ca8e775 |
The maximum measured values of the volumetric VUV power were estimated as 45, 25, and 55 W/cm{{formula:10309b11-6e0f-4ab8-9b23-2197692a00ab}} (with a total input power of 100 kW) for the Lyman-alpha line, the Lyman band, and the molecular continuum, respectively. In our estimations, we have not taken into account the ... | r | 53d21c7cc75a01259d3f6e83d31e4a1d |
These 2485 quasars with {{formula:c19e6c10-e7f4-4543-bbb1-86f57ce0ff11}} (H{{formula:7eae5225-aba6-4b92-8a71-08d9f6358f3a}} ){{formula:e4ca400f-35dc-491d-9a42-491b9d94aa4c}} in Table 2 of {{cite:5c32a13219651e97755aa3fb0297e51f6d180426}} have a median of {{formula:0e666f6e-eacb-426c-af96-ecae875f8486}} (H{{formula:488... | d | 7208904dc31c99bab72ce6baf74806f9 |
Bit depth refers to the color information stored in an image. More colors could be stored in an image whenever there is high bit depth in the image. In the case of black and white, it contains one bit either 0 or 1. Hence, it can only show two colors which are black and white. Furthermore, an 8 bit image can store {{fo... | m | 589df48430cab5896640ebf370a66f4d |
While B-tipping can be found and continued in system parameters on applying tools from theory of autonomous bifurcations {{cite:bb932d2915fc51f61f77fbe5e5e9d908819b4a43}}, {{cite:6da4c92a582db8005b16ab0e043e939b69af162b}}, {{cite:73c6da3d3b370238bdca430409e14ea9a608c9c0}} to the autonomous frozen system (REF ), this is... | m | b24f3bf26d9180d9688d5da346be3127 |
in {{formula:9fee89a0-2499-4bce-bcd3-8bca45f5bb79}} , where the number {{formula:5e00e32a-c10f-4774-b55e-28c97574b4bc}} of event measurements can be a random variables changing from event to event, or a deterministic quantity. For most collider events, the corresponding point patterns will not be uniformly distributed... | i | b23e9d300b1a268b74a09d80f2263cbc |
The intrinsic evaluation is based on semantic similarity {{cite:b12c1642a4400b20ff0b01c714585d8557678e24}} in word embeddings. The word similarity measure approach states {{cite:6a2014cd9b7037741df24aa12858cb22ac448419}} that the words are similar if they appear in the similar context. We measure word similarity of pro... | m | 903bfa0e8750e6f20589eca0c0a0ab0e |
As described in Sect. REF , the OSR problem consists of two sub-tasks: (1) novelty detection for unknown classes and (2) classification for known classes.
The ViT architecture has already achieved state-of-the-art performance on many image classification benchmarks {{cite:14ca11f6b65b09b093b56cdbcee76b7cd1cc9833}}.
We ... | m | 4ecb84633bfec6eb6cbb3d2bbc2794f9 |
where
{{formula:cde21442-f01d-4c78-8541-733c33339c95}} is
a multivariate array with coefficients
{{formula:b1781dfe-b45c-4f4f-9802-fd2e22084f50}} , and {{formula:5983d440-6a4d-4490-a561-8e9d6f0a643e}}
is the finite-dimensional representation of the
nonlinear operator {{formula:aa0cf2b4-bd6a-4bc7-8549-7d6944a4bad1}} .... | i | cd328e842d961e9804d9216ef11f47e3 |
We performed several experiments on the proposed CoFiB algorithm. We also compared it to some of the classical denoising algorithms. For performance comparison, the widely used peak signal to noise ratio (PSNR) and the structural similarity index (SSIM) performance metrics have been used. These methods are termed objec... | r | a99ca7bb53330326e6efd7148e695790 |
The Teacher module is required to refine, process and preserve previously learnt knowledge. However, the quality of the generated knowledge by the Teacher module degenerates when learning a large number of tasks. From Theorem 2 in Section , we know that the gap on risks (evaluated by the Student module) between the tar... | d | 0a056afb05014934041d06edd5601912 |
In addition, the real accretion flows are generically not spherically symmetric.
The hot accretion
flow in M87* and most
other galactic nuclei consist of a geometrically thick and quasi-spherical disk. It will be more interesting to investigate the shadow with a thick disk accretion. Recently, Ref.{{cite:bb86a29e112c02... | d | f8db354684f35316b0c03a3f2bf8444f |
We can apply any primal-dual algorithm from the literature {{cite:b2b05de47c7dd77af959cd074111fd890ce88c11}}, {{cite:874f407c09dabc68a6835cb1df1f8f87bff9cbde}}, {{cite:4a1baf7825a6355bcb4560d88130b74de05393ff}}, {{cite:24761ba294739737037d071713da6eff4af9d802}}, {{cite:0dab3127422655f5d00dd0d049a71fdb34dc6d64}}, {{cite... | m | ed0344a8141a75461e26cc148f50732e |
Characterising the Adaptive Adversarial Robustness.
In more strict adversarial security setting {{cite:fd150c4ea70648ff5998ba26cd1a05ac388f2096}}, an attacker could observe the input {{formula:00e13f16-30b7-46f1-bdff-c6b207b6f5ce}} and output {{formula:87879bee-89a2-479d-84d4-f23d2b813ed8}} of both speech enhancement... | d | 0d8d63e0903b6c49d526363f27f60cc5 |
VAP calculations can be performed by changing the {{formula:0257bf15-01e8-44d1-a7a9-d2b0d57e4ab4}} matrix in Eq.(REF ). Here, we impose the following restrictions for the {{formula:bfcf1fad-f955-4877-b9a0-89e8cd397d97}} matrix: (1) {{formula:c2fc4dff-2c00-4406-a6f9-1210acbcf91b}} is real, (2) keeping the time revers... | m | 8f40c640a2774421a5e888132021e724 |
Among several consequences of Theorem REF to broad fields of mathematics, we only mention the discrete restriction for paraboloid or the Strichartz estimate on torus which was initiated by Bourgain {{cite:53d59307c13b7377637db33346441b83ecfce291}}, see also works by Burq–Gérard–Tzvetkov {{cite:0710c2924818426ea3d92bd0... | i | 16cbefa0d3abfbbae5923982cea7422a |
Once relevant attributes are identified, to explain a query {{formula:fdeb28b4-c5d0-44db-8f7d-55a7a2c1af60}} with latent {{formula:ce0d6659-95f8-43ce-91cf-ed2af7194b26}} such that {{formula:f55f3d7d-27d6-414a-83f5-82740b1353e4}} along attribute {{formula:a0e17589-05cd-4b2b-83f4-273c1df14f66}} , a set of {{formula:2d... | m | fe0dce63494bdba261d855f3d09c0abe |
Recall that def:discrparamellipticproblem is a Ritz-Galerkin approach with the particular case of a FE space {{formula:bef1a8e9-9e6c-4963-ac0a-9be2401e97c9}} (which then makes it a finite element method).
In other words, Equation (REF ) is a Ritz-Galerkin projection of the infinite-dimensional formulation of Equation ... | m | a8945647d041dcb5e9fa2ee37c354c14 |
The question we want to answer in this paper is whether the introduction of additional vector-like lepton EW doublets, discussed in Refs. {{cite:74cadd0d36794f1eadf78f86f97c05f59f5c1229}}, {{cite:70d2c80caf08df4d81d9c692f9d97c92082030ad}}, {{cite:de460f9bc3487494c111e3c5249780a3fab6d643}}, {{cite:047f6c3a61ae7d42c1c365... | i | dc9abb9efaf26c4b16e8f3263becc395 |
In our model, we also do not take into account dust sedimentation,
migration, growth and destruction, which play a critical role in
protoplanetary disks. Taking this processes into account can
significantly modify or even completely suppress the instability of the
disk associated with the effects of self-shadowing. We ... | d | 402f15f5dd4e0326b6b256a2f4f9fdb0 |
The proposed method achieves the best overall segmentation performance among the listed methods. In terms of DSC, {{cite:6c8d6b82beab8301d56d2fbd549d412e4ffc48b9}}'s method outperform the other methods with a value of {{formula:fadfac21-716a-4037-920d-033640c868fd}} . And {{cite:75d663aadd054776d419abc89f9412e094fcce5e... | m | 48e02ab5e0d3fe6cfa440311c528bf0d |
ML research is often perceived as value-neutral, and emphasis is placed on positive applications or potential. This fits into a historical strain of thinking which has tended to frame technology as "neutral", based on the notion that new technologies can be unpredictably applied for both beneficial and harmful purposes... | d | 7a8fda22c1404a698cf45a3053ec435b |
Most methods simply seek to reconstruct SR images with high PSNR and SSIM. However, the improvement in reconstruction accuracy is not always accompanied by an improvement in visual quality. Blau et al. {{cite:5dc7b7c6ac90360819d0114de6d64ca2612071ad}} pointed out that there was a perception-distortion trade-off. It is ... | m | 97ae6376382a30bba9c2d2a14ca5e1a7 |
In this section, we first introduce the experiment setup and introduce how we form novel benchmarks by adapting conventional CL datasets for the CLPU problem. Then we introduce the evaluation metrics designed for measuring the agent's performance in terms of both continual learning and private unlearning. In the end, w... | r | bd2ca167c04a1d128e2754a6576e50f6 |
Since all variables are real, we make use of the following integral{{cite:4838d941c661f98626e6699c5c0457753616100a}}
{{formula:f9d8f882-8fb2-4303-8973-58ce7001770f}}
| m | 7699364c295fba5cbcdbcae4e45d7ecd |
Bregman divergences and Pythagorean theorems for them are studied in information geometry {{cite:afa80b284b491a69d9dac6dc10ed245cdf9e09d7}}, {{cite:48e87548062cc849fb36cd22746eb77fc14d63ca}}, although the term is broadly used for inequalities arising from projections onto convex bodies. That a stronger guarantee than o... | d | 4b5f3999d5c632a05e0b595985196416 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.