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**A**: see [4]).
The topology-free approach takes into account the cardinality of the basic set A𝐴Aitalic_A and the arity of operations**B**: Bruno Poizat fully developed the topology-free approach in [19]. In [20, 21] R. Pöschel characterised the Galois closed sets of relations with the help of infinitary operations.... | CAB | BAC | ABC | BCA | Selection 4 |
**A**: were the first to explore this problem from a complexity-theoretic perspective. They showed that the basic problem of maximizing a distance norm over a set of elements is already NP-hard**B**: Many efforts have been devoted to finding diverse solutions in combinatorial problems. In their seminal paper [KGD93], K... | CAB | BAC | BCA | ACB | Selection 2 |
**A**: We look at the average information between measures by using probability measures over spaces of measures.**B**:
We also show how to lower bound information between probabilities over general spaces with information between probabilities over finite sequences using uniformly enumerable disjoint open sets**C**: ... | CAB | BCA | CBA | CBA | Selection 1 |
**A**: Images are grouped by context (each context is a component of the mixture of Gaussian distributions), and for each context, a unique vector (context identifier) is associated. The context identifier is first embedded for a better representation, and the resulting vector is used to learn the corresponding paramet... | CBA | ACB | BAC | ACB | Selection 1 |
**A**: Comparison to SotA Methods.
DFB is also compared with five very recent SotA methods, including MaxLogit (Hendrycks et al., 2022), KL-Matching (Hendrycks et al., 2022), ReAct (Sun et al., 2021), MaSF (Haroush et al., 2022) and DML+ (Zhang and Xiang, 2023) , with their results reported at the top of Tabs. 1 and 2*... | ACB | ACB | ABC | CAB | Selection 3 |
**A**: Furthermore, LPDM is often able to improve the sharpness and color accuracy of the enhanced image. In summary, our contributions are as follows:
**B**: The effect of post-processing using LPDM is displayed in Fig. 1. Our technique is able to avoid the computationally expensive generative diffusion reverse proces... | CBA | BAC | BCA | ABC | Selection 1 |
**A**: We have not seen any significant role of the Big Five personality traits [28] in our experiment, despite their expected impact on online navigation performance [4]. This variation may be due to differences in the navigation tasks and the experimental environment. Based on the insights gained from our current wor... | BCA | CAB | ACB | ACB | Selection 2 |
**A**: To address these challenges, we have developed a comprehensive evaluation system that includes multiple validation tasks, showcasing the model’s representation learning, alignment capability, and generalization ability**B**: Based on the necessity for fine-tuning, we categorize the validation tasks into internal... | CAB | BCA | ACB | BAC | Selection 2 |
**A**: We show the sensitivity of the performance of LiftNet-based methods regarding the output dimensions on WN18RR dataset. To do that, we vary the output dimensions from 128 to 1024 and adjust the setups of the two TC layers in LiftNet accordingly**B**: The results in Fig. 4 show two different trends**C**: First, LN... | CBA | ACB | CAB | ABC | Selection 4 |
**A**: rate curve**B**: Ultimately, whether changing laser pulses duration during the entanglement generation process, quantum error correction and purification post processing, or a combination of both, we obtain a fidelity vs**C**: This curve represents the fidelity of the generated entangled pairs for a given rate a... | BAC | ACB | BCA | BCA | Selection 1 |
**A**: 5 shows the minimum required SNRs of polar codes constructed by polar sequence [4], GA algorithm [7] and MWD sequence to achieve the target BLER under the AWGN channel with the code rate range R=0.0625∼0.9375𝑅0.0625similar-to0.9375R=0.0625\sim 0.9375italic_R = 0.0625 ∼ 0.9375**B**: The required SNRs of MWUB equ... | BCA | CBA | ACB | BAC | Selection 1 |
**A**: Thus we see that when there are signals the weights on leaf nodes are no longer proportional, but skewed further towards the longer branches**B**:
where the inequality follows from our assumption 1/2<p<112𝑝11/2<p<11 / 2 < italic_p < 1**C**: So for this tree we have that the mean depth is given by | CAB | BCA | BAC | ABC | Selection 3 |
**A**: (2019), Chambon et al. (2022a)].**B**: (2020)].
For one of the few public datasets of this caliber that exists, MIMIC-CXR, Chambon et al. have demonstrated that it is possible to train a latent diffusion model capable of generating chest X-ray images with high fidelity and diversity through free text prompts [Jo... | ABC | BAC | CBA | ACB | Selection 3 |
**A**: Such non-interaction can pose challenges, as it does not provide the necessary contiguous context for the global semantics to incorporate these objects seamlessly.
To rectify this, one straightforward approach we recommend is the judicious repositioning of bounding boxes to introduce overlaps. For example, a sli... | ACB | CAB | CBA | ACB | Selection 3 |
**A**: We implement archetype-based generation by summarizing the overall geometry of probabilistic mixture models in terms of a few high-level parameters, as listed in Table 1**B**: To create an archetype, users can either specify these parameters directly or verbally describe the archetype in English**C**: To map an ... | ACB | BAC | ACB | ABC | Selection 4 |
**A**: In the ‘Attack’ event, ‘killed’ is the trigger word while ‘father-in-law’ and ‘home’ are the ‘Agent’ and ‘Place’ arguments, respectively.**B**: In the ‘Transport’ event, ‘went’ is the trigger word, and ‘home’ is the ‘Destination’ argument**C**:
Figure 1: An event extraction example with two events: Transport an... | CBA | ACB | ACB | ACB | Selection 1 |
**A**: We believe that studying the misspecified case in our paper is a crucial step to remove the Gaussian design assumption and draw complete conclusions about the learning curves of kernel ridge regression (or further, general spectral algorithms).
**B**: In addition, we also notice a line of work which studies the ... | ACB | BAC | ACB | CAB | Selection 4 |
**A**: The reconstructions obtained from WLOP, PC-Simp, AIVS and Potamias et al. simplified clouds are less detailed around salient features (compare the hair, fingers, face, wings and feet with the original angel mesh in Figure 1) while the one from HC-simplified cloud is quite poor around the torso region of the ange... | CBA | ABC | CAB | BAC | Selection 3 |
**A**:
Liu et al. [25] design AAFL mechanism, which adaptively determines the optimal fraction of clients participating in global aggregation based on resource constraints. Liu et al. [26] introduce Fed2A which allows clients to upload shallow and deep layers of DNNs adaptively to improve their performance in a hetero... | BAC | BAC | BAC | ABC | Selection 4 |
**A**: As shown in Table 4.2, it contributes to a significant +43.08% gain on ScienceQA’s validation set**B**: Our proposed zero-initialized attention is essential for the early-stage training stability and final generation capacity**C**: In contrast, the randomly initialized baseline only achieves 40.77% accuracy, nea... | BCA | BCA | ABC | BAC | Selection 4 |
**A**: Specifically,
group tokens aggregate semantically similar video tokens via grouping blocks and are then aligned with object concepts by spatial grounding**B**: It promotes region-object groundingness, which indicates the alignment between a region in the video and an object in the caption, e.g., as illustrated i... | CBA | BCA | ACB | CBA | Selection 2 |
**A**: Many studies have used similarity measures for the interpretability of NNs.
For instance, Kornblith et al**B**: Using CKA, they found that more than half of the network’s layers are very similar to the last.**C**: (2019) showed that adding too many layers to a convolutional neural network, trained for image clas... | BCA | ACB | ABC | CBA | Selection 2 |
**A**: Our method using HRNet-W48 achieved slight improvements over HRNet-W32 with respect to REPE and pan, tilt, and roll angles. The small magnitude of these improvements suggests that the performance is saturated for the larger HRNet-W48 backbone; this saturation may possibly be caused by the limitation of the varia... | CAB | ABC | ABC | CBA | Selection 4 |
**A**: To show the equivalence of the six statements in Theorem 1, the proof is structured as follows**B**: Then, we prove the following chain of implications:
(iii) ⟹⟹\Longrightarrow⟹ (iv), followed by (iv) ⟹\implies⟹ (v), (v) ⟹\implies⟹ (vi), and finally (vi) ⟹\implies⟹ (ii). This ensures that all the six statements ... | BCA | CAB | ABC | ACB | Selection 4 |
**A**: Qualitatively, in Figure 6 we see no discernible increase in the number of failures following larger ONNX updates**B**: Similarly, Incompatibility and Type Problems**C**: Quantitatively (Spearman), results are similar.
The test yields a weak positive correlation (ρ=0.34𝜌0.34\rho=0.34italic_ρ = 0.34) | CBA | CAB | CAB | ACB | Selection 4 |
**A**: Finally one of the most used tools for describing plans in robotics is Behavior Trees [21]**B**: Aerostack2 robot behaviors are compatible with BehaviorTreeCPP222https://github.com/BehaviorTree/BehaviorTree.CPP/tree/v3.8 library through their ROS 2 action interface.
**C**: The modularity and hierarchy of behavio... | CAB | ACB | ABC | BCA | Selection 2 |
**A**: It is apparent that since LLMs are able to write articles or short stories, as the quality of their inputs gets better and better, there is the risk that certain jobs in the professional writing industry will essentially disappear (Ponce Del Castillo, 2023, Tamkin et al., 2021).**B**:
Whether or not LLM works o... | ABC | BCA | CAB | BCA | Selection 3 |
**A**: Consequently, traditional UDA methods, which often rely on access to labeled source data, are not directly applicable in this context.
Thus in this paper, we aim at the more realistic but challenging source-free unsupervised domain adaptation (SFUDA) setting for pulmonary nodule detection**B**: However, medical ... | BAC | BCA | CBA | BCA | Selection 1 |
**A**: In fact, it may produce decisions that do not even satisfy the constraints in the two-stage optimization problem.**B**: Once the affine policy is determined, the decision-making in the real time is just simple function evaluations.
This method has been observed to provide good performance when the net-load varia... | ACB | BCA | BAC | CAB | Selection 4 |
**A**: Indeed, such approaches that use data augmentation provide effective means for making use of prior information**B**: Although it is difficult to encode our prior beliefs with hand-crafted priors over neural network parameters, we can construct augmentation schemes that we expect to preserve the semantic properti... | ABC | BCA | BCA | ACB | Selection 1 |
**A**: The assumptions introduced here are relatively mild compared to existing literature in the stationary case (e.g., see [15, 53, 37])**B**: To the best of our knowledge, no relevant results exist in the nonstationary setting**C**: If subsection 4.1(i) holds, conditions on the latent process such as geometric momen... | ABC | ACB | CBA | CBA | Selection 1 |
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