shuffled_text stringlengths 267 3.27k | A stringclasses 6
values | B stringclasses 6
values | C stringclasses 6
values | D stringclasses 6
values | label stringclasses 4
values |
|---|---|---|---|---|---|
**A**: MCTS is a search method that iteratively and explicitly builds a search tree, using (and updating) the collected node statistics (see, e.g., [5]). In this paper, we use an AlphaZero-like [41] algorithm for single-player games.
**B**: The former is a classic planning method, which maintains a priority queue of st... | CAB | CBA | ABC | BCA | Selection 2 |
**A**: These extra features are complementary to semantic embedding from pre-trained models and bring information that offers more concrete proofs to NER models.
**B**: It makes sense that MFE-NER is suitable to solve character substitution problems because glyph and phonetic features are introduced, which provide more... | ABC | CBA | BAC | CAB | Selection 2 |
**A**: To this end, suppose we want to generate the étendue-expanded hologram of only a single scene.
Then, the optimal complex wavefront modulation for the neural étendue expander would be the inverse Fourier transform of the target scene, and, as such, we do not require any additional modulation on the SLM**B**: Next... | BAC | CBA | ACB | ABC | Selection 1 |
**A**: (2018) split the model into task-specific encoders and language-specific encoders for \replacedmultilingualmulti-lingual dialogue evaluation**B**: In (Deng et al., 2019), each task has its own encoder and decoder, while all tasks share a representation learning layer and a joint encoding layer.**C**: For example... | ACB | CBA | BCA | ACB | Selection 3 |
**A**:
Typographical conventions for mathematical formulas have been developed to provide uniformity and clarity of presentation across mathematical texts**B**: While software such as LaTeX and MathType® can produce aesthetically pleasing math when used properly, it is also very easy to misuse the software, potentiall... | ABC | ACB | BCA | ABC | Selection 2 |
**A**: The functions may be undefined for some constants, for example, if ℓℓ\ellroman_ℓ is not defined for the constant uisubscript𝑢𝑖u_{i}italic_u start_POSTSUBSCRIPT italic_i end_POSTSUBSCRIPT we write ℓ(ui)↑↑ℓsubscript𝑢𝑖absent\ell(u_{i})\uparrowroman_ℓ ( italic_u start_POSTSUBSCRIPT italic_i end_POSTSUBSCRIPT ) ... | BAC | CAB | ACB | CBA | Selection 2 |
**A**: This assumption is typically used to ensure the convergence of logit-response dynamics to a steady state distribution (Foster and Young, 1990; Alós-Ferrer and Netzer, 2010) from which parameters are then estimated**B**: Observing a panel of linking decisions by a subset of nodes, set in small networks, allows us... | ABC | CAB | BCA | ABC | Selection 3 |
**A**: Bicubic Interpolation performs cubic interpolation on each of the two axes. Compared with Bilinear, the results of Bicubic are smoother with fewer artifacts but slower than other interpolation methods. Interpolation is also the mainstream method for constructing SISR-paired datasets and is widely used in the dat... | BAC | ABC | BAC | CAB | Selection 4 |
**A**: In contrast, a Neural Knitwork ensures that both patches and pixel colors are reliably reconstructed while imposing additional consistency constraint on the derived solution**B**: In the illustrated result with severe noise levels of σ𝜎\sigmaitalic_σ = 40, we achieve PSNR approximately 4 dB higher than in the c... | BCA | CBA | ACB | CAB | Selection 1 |
**A**: We adapt this to give an approximate TS policy for LCAT, PG-TS, in Algorithm 1**B**: In the related setting of the logistic contextual bandit, Dumitrascu et al., (2018) introduce an approximate variant of TS which uses Pólya-Gamma (PG) augmentation to admit efficient sampling**C**: It utilises a Gibbs sampler fo... | ABC | ACB | ACB | BAC | Selection 4 |
**A**: To test our approach, we consider two distinct classification scenarios**B**: In the first, we extend the work in [12] focusing on the legal domain for unfair clause detection in online Terms of Service, by employing explanations given by legal experts as domain knowledge**C**: In the second scenario, we explore... | ACB | ABC | CAB | CBA | Selection 2 |
**A**: Posterior means and standard deviations (in parentheses) of the predictive measures of accuracy and F1 scores for property satisfaction and the RMSE of the robustness for the four properties**B**: The reported measures are averages over all test samples.
**C**: Table 1 | CBA | CAB | BCA | ABC | Selection 3 |
**A**: those doctrines modelling full first order logic) and its subcategory 𝐇𝐃𝐇𝐃\mathbf{HD}bold_HD on hyperdoctrines (i.e. those first order doctrines that are also elementary) one shows that 𝐇𝐃𝐇𝐃\mathbf{HD}bold_HD is the category of coalgebras of a comonad on 𝐅𝐎𝐃𝐅𝐎𝐃\mathbf{FOD}bold_FOD. Diagram 2 (rewri... | ABC | CAB | BAC | BCA | Selection 2 |
**A**: These real-world networks are preprocessed as simple graphs**B**: In each network, we find the top-10 similar nodes for all vertices. Statistics of each network and the experimental results are listed in Table 3.**C**:
In this subsection, we evaluate the efficiency of studied metrics on 20 real networks, all of... | ABC | BCA | CBA | CBA | Selection 2 |
**A**: LSA leverages coherency to aggregate implicit sentiments efficiently**B**: (2021) proposed a quadruple extraction task (aspect, category, opinion, and sentiment), while Murtadha et al. (2022) proposed a unified framework that crafts auxiliary sentences to aid implicit aspect extraction and sentiment analysis.**C... | CAB | ABC | BCA | ACB | Selection 4 |
**A**: This process is somewhat elaborate and the reader is referred to [31] and [32] for all of the details**B**: However, for the exposition in this section it sufficient to know what the properties of the operators 𝐋𝐋\mathbf{L}bold_L and 𝐖𝐖\mathbf{W}bold_W are.
**C**: The operator 𝐋𝐋\mathbf{L}bold_L and 𝐖𝐖\m... | BCA | BAC | CAB | BAC | Selection 1 |
**A**: During training, we iteratively sample error gates, insert them to PQC, and updates weights. Finally, post-measurement quantization is further proposed to reduce the precision of measurement outcomes from each qubit and achieve a denoising effect.
**B**: QuantumNAT comprises a three-stage pipeline. The first ste... | BAC | BAC | BCA | CAB | Selection 4 |
**A**: In this work, we compare the proposed EDA with eight popular tracking methods, including SiamBAN chen2022siamban , SiamRPN++ Li_2019_CVPR , ATOM Danelljan_2019_CVPR , EVT messikommer2023data , E-MS barranco2018real , ETD chen2019asynchronous , RMRNet chen2020end , and an event-based variant of the classical trac... | ACB | CAB | ABC | CBA | Selection 1 |
**A**: This generalizes the same fact which was previously proved for Meyniel graphs [22] (a class which contains chordal graphs, HHD-free graphs, Gallai graphs, parity graphs, distance-hereditary graphs…) and line graphs of bipartite graphs [3]**B**:
We now prove our main result, that there are no ugly perfect graphs... | ACB | ABC | BAC | CBA | Selection 3 |
**A**: For a fair comparison, we apply the same augmentation settings described in MoCo.v2 [84] to all contrastive learning methods and follow hyper-parameters described in their original papers**B**: We remove the Gaussian blur augmentation in CIFAR experiments [41, 42]. We perform unsupervised pre-training using ResN... | CAB | BCA | CBA | BAC | Selection 2 |
**A**: The accuracy improvement is more significant under a tiny computation setting (≤\leq≤25M). We also try supporting flexible w𝑤witalic_w’s per block, which improves the accuracy for smaller computation budgets. Therefore, we enable flexible w𝑤witalic_w’s by default in our experiments.**B**: Existing techniques u... | ABC | CBA | ABC | ABC | Selection 2 |
**A**: The Consumer Event Cause Extraction (CECE) task aims to extract consumer events and the cause of the event from the text of a given brand or product**B**: Traditional methods use a model structure similar to extract machine reading comprehension (MRC) [7]**C**: Most of the related work [6] extracted events type ... | ABC | ACB | BCA | ACB | Selection 1 |
**A**: In terms of PROTEINS, for example, the correlation between GIN and GCN is relatively high (0.8620), while the correlations between GAT and those two are low and close (0.5732/0.6308). We observe that those relations correspond well with the change of losses, which also exhibits the distinction of GAT. Such accor... | BAC | ABC | CAB | BAC | Selection 3 |
**A**: Lee et al., (2018), Mordatch and Abbeel, (2018)**B**: Chaabouni et al., (2020) report that Gumbel-Softmax converges to similar solutions as REINFORCE but faster and is more stable.**C**: To make this operation differentiable we use Gumbel-Softmax (Jang et al., (2017)) with Straight-Through mode (Kaiser and Bengi... | BCA | CBA | ACB | CBA | Selection 1 |
**A**: We proposed an algorithmic implementation of our theoretical framework to learn ROCBFs in practice. Finally, our simulation studies show how to learn safe control laws from RGB camera images within the autonomous driving simulator CARLA.**B**: We then proposed an optimization problem to learn such ROCBFs from sa... | BCA | CBA | ACB | ABC | Selection 2 |
**A**: In order to generalize Theorem 65 to 𝖰𝖬𝖠𝖧𝖰𝖬𝖠𝖧\mathsf{QMAH}sansserif_QMAH machines, we require the following form of Håstad’s switching lemma for DNF formulas [Hås87]**B**: Technically, this is just a weaker statement of Theorem 42, though we prefer the version given here because it makes the constant fac... | ACB | BAC | CBA | CAB | Selection 1 |
**A**: When DCDFM degenerates to DCSBM, our results also match classical results under DCSBM. Numerical results of both simulated and real-world networks show the advantage of introducing node heterogeneity to model weighted networks.**B**:
(b) To fit DCDFM, an efficient spectral clustering algorithm called nDFA is de... | CAB | BAC | ACB | BAC | Selection 1 |
**A**: We found that MA-Trace (full) performs slightly worse than MA-Trace (obs). Usually the differences are small**B**: To deepen the analysis, we ran MA-Trace (obs+full), which uses both the observations and full state as the critic input. This improves the results, though they are still slightly inferior to MA-Trac... | BAC | ACB | CAB | ABC | Selection 2 |
**A**: Thus, the primary goal of VisRuler is to combine the best of both worlds, i.e., to offer a solution that combines the above-mentioned benefits from both expert groups. More details about the collaboration between the ML and domain experts can be found in Section System Overview and Use Case.**B**: On the one han... | CAB | CAB | ABC | CBA | Selection 4 |
**A**: In this paper, we proposed several novel schemes to support PR-HS-MIMO spatial multiplexing whose system is composed of multiple polarization reconfigurable antenna elements at both the Tx and Rx**B**: In the proposed iterative joint polarization pre-post coding, the local optimum usually reached the global opti... | BAC | ABC | BCA | BAC | Selection 2 |
**A**: It is therefore natural to conjecture that also online translational packing of convex polygons admits O(1)𝑂1O(1)italic_O ( 1 )-competitive algorithms**B**: The main contribution of this paper is to show that surprisingly this conjecture is false.**C**: Then the density of the piece in its axis-parallel boundi... | CBA | CAB | BCA | ACB | Selection 3 |
**A**: As in Table 2 our method outperforms others when labels are limited (e.g., the MRE is 2.332.332.332.33mm for SCP with 5 labeled images, 2.442.442.442.44mm for [42], and 12.3412.3412.3412.34mm for [26]), and achieves detection results comparable to the supervised methods that are trained based on even more labele... | CAB | CBA | BCA | CBA | Selection 1 |
**A**: First, we introduce comparison algorithms for each task. Next, evaluation metrics are introduced. Finally, we compare DFSP and our method for determining K𝐾Kitalic_K with their respective comparison algorithms on synthetic and real-world networks.
**B**: This section conducts extensive experiments to demonstrat... | ACB | ACB | ABC | CAB | Selection 4 |
**A**:
Figure 2: The effectiveness of directly the mimicking the representations of the oracle model at the initial phase. (a) Initially trained on 50 classes, and then incremented with 10 classes per phase for 5 more phases**B**: We show the accuracy of each CIL phases. Results are averaged over 3 runs.**C**: (b) Ini... | ABC | ABC | ACB | CBA | Selection 3 |
**A**: (Lipková et al., 2022) and Ezhov et al**B**: Biomechanical models can benefit brain deformation analysis as well as tumor progression evaluation, as Lipkova et al**C**: (Ezhov et al., 2023) demonstrated.
(Waldmannstetter et al., 2020) utilized deep reinforcement learning for re-detecting landmarks in pre- and po... | BAC | CBA | CBA | ABC | Selection 1 |
**A**: Recall that establishing such a classification is highly non-trivial as it will resolve the challenging open problem of whether counting maximal matchings in a bipartite graph admits an FPRAS.**B**: Concerning the exact version of the problem, we have lifted the FP/♯♯\sharp♯P-complete dichotomy in the case of pr... | BCA | CBA | ABC | CAB | Selection 4 |
**A**: For example, community structure can affect the size and duration of a disease outbreak [38]. There is intense interest in understanding how community structure and node characteristics combine to influence contagions on networks [24, 34, 37].**B**: A “community” in a network is a tightly knit set of nodes that ... | BAC | CBA | BCA | ACB | Selection 2 |
**A**: In our overall methodology, to conserve node and link resources, we post-process or ”throttle” the swapping-tree obtained from the DP algorithm by increasing the generation latencies of some of the non-root nodes such that (i) the latencies of siblings are equalized, and (ii) the parents latency is related to th... | CAB | ABC | ACB | BCA | Selection 3 |
**A**: Such capability should not be considered a limitation of AVs; on the contrary, it is an optimal design strategy that foresees potential issues due to any factors and makes AVs behave safely by directing them to “have a short rest.”
Explainability: The reviewed studies in Section 4 show a significant milestone i... | BAC | CBA | BAC | CAB | Selection 2 |
**A**: However, these images lack the point, line and angle features in the building images. Since we live in various buildings, more building features help improve the VPR model performance. Therefore, we pre-train all models on the Places-365 dataset [40] to ensure that they are sensitive to building features**B**: P... | ACB | BAC | ABC | BCA | Selection 2 |
**A**: We conclude showing that the security of WG-PRNG is less that claimed until now**B**:
In Chapter 4, to validate our algebraic attack, first we apply it to two toy stream ciphers and then we show that it is feasible to perform it on WG-PRNG**C**: For the sake of presentation, we will first describe the part rega... | CBA | BCA | BCA | BAC | Selection 4 |
**A**: In the game, we first randomly pick a red or green coin**B**:
We show that commonly used resolving gadgets are either overestimating or underestimating the values from Definition 5 on an example game in Figure 3**C**: Player 2222 observes this and decides to place the coin heads up (RH, GH) or tails up (RT, GT)... | CAB | BAC | BCA | ACB | Selection 2 |
**A**: Louvain [4] and Leiden [44] are examples of this**B**: The algorithms are fast and have had success in recovering ground truth communities on real world networks**C**: However, there no theoretical guarantees for either that the partition found is near optimal, though recently [10] showed that a Louvain-like alg... | BCA | CBA | ABC | CAB | Selection 3 |
**A**: Other records are manually entered, depending on the publication status of the single record: for published documents additional research of the specific document is made on Scopus and the relative .bibtex file is downloaded and added to the other results; for unpublished papers, which cannot be found in the two... | CAB | ACB | CBA | ACB | Selection 3 |
**A**: In this part, we present the dynamic regret analysis for Sword.optimism, which is arguably the most general instantiation of the collaborative online ensemble template**B**: However, the various variables in the general template may somewhat obscure the core ideas. Therefore, we choose to showcase the dynamic re... | CBA | CAB | ACB | BCA | Selection 3 |
**A**: Set A={a,b,c}𝐴𝑎𝑏𝑐A=\{a,b,c\}italic_A = { italic_a , italic_b , italic_c }**B**: sequence**C**: Since
σ′(ℒ(σ))⊂ℒ(σ)superscript𝜎′ℒ𝜎ℒ𝜎\sigma^{\prime}(\mathcal{L}(\sigma))\subset\mathcal{L}(\sigma)italic_σ start_POSTSUPERSCRIPT ′ end_POSTSUPERSCRIPT ( caligraphic_L ( italic_σ ) ) ⊂ caligraphic_L ( italic_σ... | CAB | BCA | BAC | CAB | Selection 3 |
**A**: More precisely,
these authors established the third term on the right-hand side in**B**: The result in Theorem 4 for s≥1/2𝑠12s\geq 1/2italic_s ≥ 1 / 2 (that is, 2k+2≥d2𝑘2𝑑2k+2\geq d2 italic_k + 2 ≥ italic_d) was already derived in Sadhanala et al**C**: (2017) | BAC | BCA | BCA | CAB | Selection 4 |
**A**: (2022) demonstrated that image segmentation based on topological loss outperforms other deep learning architectures for similar tasks. Lin et al. (2023) introduced a new architecture that excels in segmenting curvilinear structures by learning topological similarities over existing methods.**B**:
While Euclidea... | CAB | ABC | BCA | BAC | Selection 1 |
**A**: Let**B**: \right\rVert=1,u,v\in^{2}\}∥ italic_R ∥ = roman_sup { italic_u start_POSTSUPERSCRIPT italic_T end_POSTSUPERSCRIPT italic_R italic_v : ∥ italic_u ∥ = ∥ italic_v ∥ = 1 , italic_u , italic_v ∈ start_POSTSUPERSCRIPT 2 end_POSTSUPERSCRIPT }**C**: Let
(λc,x)subscript𝜆𝑐𝑥(\lambda_{c},x)( italic_λ start_POST... | CAB | CBA | CBA | ABC | Selection 1 |
**A**:
Next, we present a test case to illustrate the performance of the proposed approach under disturbance. We consider a scenario where an adversary injects a cyberattack in the form of a disturbance to the battery module to induce overdischarge. The disturbance is injected at 700s700𝑠700s700 italic_s as current ... | ACB | CBA | CBA | ABC | Selection 4 |
**A**: The final model used XGBoost to achieve an F1 score of 75%, surpassing the authors’ baseline of 33%**B**: In a follow-up study of 298 information workers, Mirjafari et al. [53] used auto-encoder-generated features based on passive sensing data from mobile phones and a Garmin fitness tracker to predict day-to-day... | CBA | BCA | BAC | BCA | Selection 3 |
**A**: We thus assume a single channel and instant for now, and discuss multiple channels and request duration in §III-F.
**B**: We focus on the core function approximation problem, which is to determine the optimal power allocation to an SU for a given location, channel, and time instant—since frequency and temporal d... | ACB | ABC | BCA | CBA | Selection 4 |
**A**: In Section 2.1, after reviewing the definitions of groups and group actions, we define the notions of congruence and symmetry of curves relative to a given group. In Sections 2.2
and 2.3, we follow [12] to define Euclidean and affine moving frames and invariants.**B**: The paper is structured as follows**C**: S... | BAC | ABC | CAB | CBA | Selection 3 |
**A**:
In the seminal work of [41], the method of online gradient descent is proposed for OCO problems, where at each time step the decision maker performs one gradient descent step using the latest available information. A static regret upper bound that is sublinear in T𝑇Titalic_T is proved, where T𝑇Titalic_T is th... | ACB | BAC | CAB | CAB | Selection 1 |
**A**:
Table III compares the test-set classification accuracies on the two datasets for all the pulse settings listed in Tables I and II**B**: We classified with a polynomial support vector machine of order 3. We**C**: These results were calculated over 5 runs on N-MNIST and 10 runs on POKERDVS | ABC | ACB | BCA | ABC | Selection 2 |
**A**: At any point in time the set of influencing neighbors of an agent are all the neighbors in a given static social network with an opinion close to their own opinion**B**: Hence, agents only adapt their opinions to neighboring agents having an opinion that is not too far away from their own opinion. Note that this... | BCA | BAC | ABC | ACB | Selection 1 |
**A**: The normalization process used the statistics (mean and standard deviation) calculated from the training set**B**: Normalizing the test data using the training set’s statistics made the overall distribution of data during training and testing consistent. This ensures that the model’s performance on the test set ... | CAB | CAB | ABC | BCA | Selection 4 |
**A**: There is also a significant body of literature devoted to fixed-confidence identification**B**:
The aforementioned works focus on fixed-budget identification, in which the horizon T𝑇Titalic_T is fixed**C**: In this scenario, the forecaster is given a confidence level δ𝛿\deltaitalic_δ and aims to stop the samp... | BCA | BCA | CBA | BAC | Selection 4 |
**A**: Still, inspecting the 2d-projection of the latent code of our proposed model in Figure 2, we see distinct clusters for each digit class for the different images from the test dataset, independent of the orientation of the digits in the images**B**: In contrast, the latent code of a classical autoencoder exhibits... | BCA | ACB | CAB | ABC | Selection 1 |
**A**: No images or personal data of any kinds are used. This is an advantage over other proposed solutions, e.g. using taxis to collect data.
The potential benefits far outweigh the harms, by allowing local communities to keep authorities accountable.**B**: We believe the risks are very low from our proposed method**C... | BCA | ACB | CAB | BCA | Selection 3 |
**A**: Test data bounds are reported in Table 4.
**B**: Training binary latent VAEs with K=2,3𝐾23K=2,3italic_K = 2 , 3 (except for RELAX which uses 3333 evaluations) on MNIST, Fashion-MNIST, and Omniglot**C**: We report the average ELBO (±1plus-or-minus1\pm 1± 1 standard error) on the training set after 1M steps over... | ACB | CAB | BCA | BCA | Selection 2 |
**A**: Increasing the frame size decreases the chance of collisions, while increasing K𝐾Kitalic_K makes the transmission more robust and allows to harvest more diversity.
The relationship, however, is not as straightforward when it comes to spectral efficiency shown in Fig. 7(b). For a given number of repetitions K𝐾K... | BCA | BCA | CBA | CAB | Selection 4 |
**A**:
Later, Schul [Sch07] provided a modification of the algorithm so that the ratio of the length of the yielded path over the length of the optimal path is bounded by a constant C𝐶Citalic_C independent of the dimension N𝑁Nitalic_N**B**: Variation of this algorithm also appears in [BNV19]**C**: Here and for the r... | CAB | BCA | BCA | ABC | Selection 4 |
**A**: We should emphasize that the generalization from the projective Chow forms to the multiprojective ones is far from straightforward both from the mathematical and algorithmic complexity point of views**B**: Even though a multiprojective space is isomorphic to a projective variety via the Segre embedding, this req... | CBA | BCA | BAC | ABC | Selection 4 |
**A**: Note that the synchronization of all the different sensors acquisition together with the stages of the experiment is performed using a laptop (MSI GE75 Raider 8SE-034ES) running a Unity® framework-based program**B**: On the one hand, the BiosignalPlux device connection is configured using the OpenSignals (r)evol... | BAC | ACB | ABC | CAB | Selection 3 |
**A**: PAD utilizes a learnable convex measurement to quantify distribution-wise discrete perturbations that safeguard malware detectors from adversarial attacks. To improve defense effectiveness, a new mixture of attacks is proposed to instantiate PAD.
**B**: Li et al. (Li et al., 2023) introduce a novel adversarial t... | ABC | ACB | BCA | CBA | Selection 4 |
**A**: Roughly speaking, we consider a zero-sum game between an adversary and a statistician, in which the adversary chooses a deviation and the statistician, after observing the realization s𝑠sitalic_s, has to guess the deviator if s∉D𝑠𝐷s\notin Ditalic_s ∉ italic_D**B**: A strategy for the statistican in this game ... | ABC | BCA | BCA | BCA | Selection 1 |
**A**: To build such a community-level evaluation infrastructure, a fundamental design challenge is the trade-off between real vehicle-based and simulation-based evaluation methodology, which is shown in Table III**B**:
Simulation-centric hybrid design**C**: Real vehicle-based is more fidel as it has the vehicle, sens... | CAB | CAB | BAC | ABC | Selection 3 |
**A**: prove the NP-completeness of Maximum Cut on permutation graphs as well, which too was open for a long time [11].**B**: in [2], where they extend the result of the first paper by proving that Maximum Cut is NP-complete on graphs of interval count four.
Using the technique of the above work, de Figueiredo et al**C... | BCA | BCA | CBA | BCA | Selection 3 |
**A**: This shows that, with careful design, BN can still be effective. Still, models without BatchNorm enable simpler and a wider range of training procedures with longer training sequences and ultimately perform better.
**B**: Finally, BN-based end-to-end models perform poorly with SV-RCNet’s sliding-window evaluatio... | BAC | CAB | BCA | ACB | Selection 2 |
**A**:
In deep feature learning paradigms for pair similarity optimization, loss functions in FR can be categorized based on two approaches: metric loss (ML; e.g., triplet loss[23, 8] and N-pair loss[26]) and classification loss (CL; e.g., softmax loss[1, 21, 30]). The former directly performs the optimization with a ... | ACB | BAC | BAC | BAC | Selection 1 |
**A**: In this work, we used the StyleGAN2-ADA official source code, and the hyperparameters suggested by Karras et al. [38]**B**: StyleGAN2-ADA framework enables different augmentations (rotation, geometric transformations, and color transformations) and class-conditional training. The output image resolution was set ... | BCA | ACB | CBA | BCA | Selection 2 |
**A**: The training of deep CNNs was softer and easier through the supervision not only to deep layers but also to intermediate layers and shallow layers, and a fusion structure was constructed where the feature ahead was used for the second-level supervision.
In [31], Acharya et al**B**: In their framework, a mainfold... | CAB | ABC | ACB | BAC | Selection 3 |
**A**: This does not correspond to a valid move, since the support of ν𝜈\nuitalic_ν would be {−10,−9,9,10}109910\{-10,-9,9,10\}{ - 10 , - 9 , 9 , 10 }. Intuitively, such moves should not ultimately help push mass far away, and indeed in Lemma 4.2 we show for a different relaxation of highest Elo that they don’t help.*... | ABC | ACB | CAB | BCA | Selection 3 |
**A**: Nevertheless, the features of each data set under investigation should be meaningful, because we focus on human expertise and knowledge to resolve problematic situations where essential instances for the generalizability of unseen data are being considered for deletion and to avoid the generation of artificial s... | CBA | CBA | CAB | BCA | Selection 3 |
**A**: Eigenlayer offers Ethereum validators the opportunity to restake their ETH, thereby channeling Ethereum’s security prowess to additional protocols**B**:
FIRST’s intuitive plug-and-play framework seamlessly integrates projects like Eigenlayer, aiming to minimize trust dependencies and match Ethereum’s renowned f... | BAC | ABC | ABC | ACB | Selection 1 |
**A**: (2021); Wager and Xu (2021) and use gradient-based optimization with policy gradient estimator to learn policies.**B**: In particular, we give a method for estimating the policy gradient in finite samples in a unit-level randomized experiment as in Munro et al**C**:
In this section, we define the policy gradien... | BCA | ABC | CBA | ABC | Selection 3 |
**A**:
We tested OccamNets implemented with CNNs; however, they may be beneficial to other architectures as well**B**: The ability to exit dynamically could be used with transformers, graph neural networks, and feed-forward networks more generally**C**: There is some evidence already for this on natural language infer... | ACB | CBA | ACB | ABC | Selection 4 |
**A**: For this variant of only using CFFA, we obtain a mIoU of 37.6%, outperforming the baseline with a mIoU of 36.5% by 1.1% gain. Then, we add both CFFA and CFM on top of the baseline, which is our final model (CFFM) for learning local temporal contexts**B**: The segmentation performance (mIoU) for CFFM is 38.5%. Th... | BCA | ACB | BAC | ABC | Selection 1 |
**A**: However, changing the data representation or embedding tables requires accuracy re-validation**B**:
Mitigating memory intensive training: Prior work has focused on optimizing the model using mixed-precision training or eliminating rare categorical variables to reduce embedding table size [49, 50]**C**: Compress... | ABC | CBA | BAC | CAB | Selection 3 |
**A**: 4.13], which applies only to polytopal complexes, to all polyhedral complexes imbedded in ℝnsuperscriptℝ𝑛\mathbb{R}^{n}blackboard_R start_POSTSUPERSCRIPT italic_n end_POSTSUPERSCRIPT equipped with the standard PL structure.
**B**: While we believe the above results are useful more generally, our main motivation... | CAB | ACB | BAC | ABC | Selection 1 |
**A**: In order to solve the ground state and the time evolution of the system, the stochastic reconfiguration (SR) method and time-dependent variational Monte Carlo (VMC) approach [43] are utilized, respectively. We find that time evolutions of the energy expectation value from the neural networks are perfectly consis... | ABC | CAB | CBA | ABC | Selection 3 |
**A**: In order to show the effect of different space intervals and time intervals, two groups of comparison tests have been done**B**: First, we choose different space interval hℎhitalic_h to observe the performance of our model**C**: Table 2 shows the result of different hℎhitalic_h.
| CAB | ABC | ACB | CBA | Selection 2 |
**A**: In implementing RU measures, we take the neighborhood size k𝑘kitalic_k in k𝑘kitalic_k-NN, along with the outlier ratio c𝑐citalic_c of the training samples, the uncertainty ratio u𝑢uitalic_u, and the standard deviation for uncertainty and outlier distributions as hyper-parameters.
The techniques proposed in t... | BCA | BAC | BCA | CAB | Selection 2 |
**A**: But as they continued their discussion regarding the online safety and privacy issues more with the researchers and with their teens, they seemed to be brainstorming on the consequences of data leakage and therefore, began to also discuss reviewing the privacy permissions.**B**:
In terms of using CO-oPS to moni... | CAB | CBA | ACB | ACB | Selection 1 |
**A**: This is made precise in Proposition 4.
**B**: Therefore, the persistences of the topological features of the dataset are not reduced no matter by how much the dataset is shrunk**C**: The proposed approach is scale-invariant, in the sense that the persistences of all homology classes remain the same when the data... | ACB | CBA | ABC | CAB | Selection 2 |
**A**:
CISNet is implemented on PyTorch (Paszke et al. 2017) platform**B**: The number of training epochs is set to 15, and early stopping strategy is employed for training. All models are trained on one NVIDIA Tesla V100 16GB GPU.**C**: We use Stochastic Gradient Descent (SGD) with momentum of 0.9 and weight decay of... | CBA | ABC | ACB | ABC | Selection 3 |
**A**: We compare BBP with other block propagation schemes based on the experimental results**B**: The experiment results show that BBP has the least block propagation time. Compared with the current protocol of Ethereum, BBP reduces the block propagation time by 4x. Importantly, our work shows that BBP has a constant-... | BCA | CBA | CBA | ACB | Selection 1 |
**A**:
In a broader context of reinforcement learning with partial observability, our work is related to several recent works on POMDPs with special structures. For example, Kwon et al**B**: (2021) considers latent POMDPs, where each process has only one latent state, and the proposed algorithm efficiently infers the ... | BCA | BCA | ABC | CAB | Selection 3 |
**A**: Personalized speech therapy and practice monitored by SLPs can improve the
acquisition of speech skills (Duval \BOthers., \APACyear2018)**B**: However, the accessibility of SLPs is crucial for such intervention. A report suggests that up to 70 % of SLPs have waiting lists, which indicates**C**: SSD | CAB | ABC | CAB | BCA | Selection 4 |
**A**: A fundamental problem here is to identify sub-populations of interest. However, the problem is challenging as the biological process of recording gene expressions is error-prone [THL+19], and gene expressions within the same population may also vary due to internal randomness. Furthermore, experiments can cause ... | BCA | CAB | ABC | CBA | Selection 2 |
**A**: (3) Scene Graph Detection (SGDet): predict the bounding boxes, the predicates as well as the object labels.
We calculate and report the mean recall@K scores for the above metrics in experiments.**B**: (2) Scene Graph Classification (SGCls): predict the predicate as well as the object labels given the sets of gro... | CBA | ABC | BAC | ACB | Selection 1 |
**A**: Section 2 presents the formal definitions of our model**B**: In Section 3, we derive some useful technical properties.
Sections 4 and 5 present our main results for the one-facility game with total and maximum cost objectives, respectively.**C**: The rest of the paper is organized as follows | BCA | CAB | BAC | CAB | Selection 1 |
**A**: As we have seen before the papers on perfect edge domination are less frequent**B**: There is a paper [16] where the authors describe ILP formulations for the PED problem, together with some experimental results.
**C**: There is some more bibliography to add to the already vast literature [3, 10, 23, 31, 33, 35]... | ACB | CAB | BCA | BAC | Selection 3 |
**A**: The problem (11) now looks like a standard mp-QP whose solution can be computed parametrically in x𝑥xitalic_x**B**: Our proof will therefore proceed as follows (see also Fig. 3 for a schematic representation):
**C**: Putting aside for the moment the issue of possible degeneracy, this parametric solution could e... | BAC | ACB | CBA | CAB | Selection 2 |
**A**: Yet, the high fidelity of our model’s renderings, together with the easy modifiability of the physical parameters, enables various computer graphics applications such as the artistic re-rendering of scenes, which we demonstrate in our video.**B**: We present diverse experiments in which the ODE parametrizes a ri... | ABC | CAB | ACB | ABC | Selection 2 |
**A**: Moreover, to assess the accuracy of the QSC performance within the quantum semantics’ extraction, transmission, reception, and decoding processes**B**:
As discussed earlier, the QSC framework ensures minimality of quantum communication resources by extracting and compressing the semantic representations of the ... | CAB | BCA | CBA | BAC | Selection 4 |
**A**: Whether or not activated links can truly deliver that number of bits finally depends on whether IAB nodes have enough bits buffered and whether blockages are caused by obstacles.
The target of maximizing the UE throughput can be achieved by properly tuning the rewards for actions, as indicated in the following r... | ACB | CBA | BCA | BCA | Selection 2 |
**A**: Of course, the FDA does not always follow a formal algorithm for evaluating clinical trials; it retains significant discretion in decision-making, and the standards for efficacy can vary by the treatment area or reviewing team (Janiaud et al., 2021). Yet, we can study a simplification based on its written guidel... | ABC | CAB | BCA | ABC | Selection 2 |
**A**:
Fig. 2: Qualitative results for affine registration with MI over 3D medical images using ADNI dataset [33]**B**: The third column shows the checkerboard alignment result using Clear, while the fourth column shows the result using PPIR(MPC). The different protocols are highlighted by red and green frames, respec... | CBA | BAC | ACB | ABC | Selection 3 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.