text stringlengths 0 1.96k |
|---|
"While I understand the stance taken by the authors that these methods leverage the tractability of the conditional distributions, these strategies are sufficiently general to be considered widely applicable and a true competitor for AdVIL" "['arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', ... |
"Similarly, the proposed rejection sampling scheme of OCDVAE is not consistent with the theory of VAEs and it's a post-hoc tweak that is not theoretically expected to provide a pdf of data with lower KL divergence to the true data pdf" "['non', 'non', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg'... |
"BLAMING AGE Honestly, I found it quite a weak argument to put the lack of generalization of the approach on age (p. 10 )." "['non', 'non', 'non', 'non', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'non', 'non']" "pap... |
"Although you didnt show anything but only state assumptions or claims (which may be reasonable but are not backed up here)" "['non', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg']" "paper quality" |
"The second has to do with the interpretation of the results." "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non']" "paper quality" |
"Text contradicting the equation : ""In order to balance the individual loss terms, we normalize according to dimensions and weight the KL divergence with a constant of 0.1""." "['arg', 'arg', 'arg', 'arg', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', '... |
"Some typo problems lie here" "['arg', 'arg', 'arg', 'arg', 'arg']" "paper quality" |
"I would suggest to incorporate results on at least one of these data sets to better understand the behavior of the algorithm on these images." "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non',... |
"Premise is that feedback alignment networks are also more robust to adversarial attacks." "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non']" "paper quality" |
"For example, page 3: HoloLense -> Hololens." "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non']" "paper quality" |
"The paper reads well and the methodology seems to be interesting" "['arg', 'arg', 'arg', 'arg', 'non', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg']" "paper quality" |
"Comparison to (unsupervised) domain adaptation methods would also have been interesting (e.g. gradient reversal (Ganin et al. 2014, Kamnitsas et al. 2016))." "['arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non'... |
"Please compare to other representation learning methods such as sparse coding (e.g. spherical K-means, dictionary learning), dimension reduction (e.g. PCA, t-sne)." "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non'... |
"It would be interesting to know that aspect, as it is crucial to allow the network to learn to ""transfer"" its own ability for detecting a new region from one data set to another." "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'n... |
"But equation (2) shows a loss with no weighting." "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non']" "paper quality" |
"It shows that for ""100%"" T-IMM actually is not significantly better than most of the other initialization strategies" "['arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg']" "paper quality" |
"Moreover, is there is a reason you did not validate on all TUPAC16 tasks The is well written paper with a clear description of the state of the art and the reasoning behind the presented method" "['non', 'non', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'ar... |
"Hardly what I'd call moderate effort" "['arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg']" "paper quality" |
"Arguably ACh and noradrenaline are more important for network states and dynamics, and equally important for plasticity as dopamine." "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non']" "paper quality" |
"Operationally, I'm not quite sure how these are different, so, to me this goal is roughly ""be explainable"", and progress towards it could be measured e.g. in MDLs." "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'no... |
"I feel that more tools should have been used to further support or push the results" "['non', 'non', 'non', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg']" "paper quality" |
"But the novelty is limited" "['non', 'arg', 'arg', 'arg', 'arg']" "paper quality" |
"Related works: Smith et al. 2018 Don't Decay the Learning Rate, Increase the Batch Size." "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non']" "paper quality" |
"Finally we saw a high rating for the perception of realism and feelings of immersion in the environment (Q10) ( = 5.88, = 0.78).""" "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'no... |
"Some of these should serve as baselines" "['arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg']" "paper quality" |
"For larger scale domains, I fear this could become an important obstacle to effective model training" "['non', 'non', 'non', 'non', 'non', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg']" "paper quality" |
"c) According to the problem formulation and the experiments, it seems that the authors are studying a restricted subclass of 2D/3D bin packing problems: there is only one bin, so (it seems that) the authors are dealing with geometric knapsack problems (with rotations)." "['non', 'non', 'non', 'non', 'non', 'non', 'non... |
"2) I agree with a concern raised by reviewer 3: It's difficult to see a 1-layer network as a ""mechanistic explanation"" of a 3-layer network" "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg',... |
"The experiment procedure give little details about participants background" "['arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg']" "paper quality" |
"I.e., there are two different probabilistic models modeling the same data in inconsistent ways and one or the other is used depending on the part of the system" "['non', 'non', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'a... |
"STRENGTHS + Decoupling instruction-to-action mapping by introducing goals as a learned intermediate representation has advantages, particularly for goal-directed instructions" "['non', 'non', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', '... |
"Thus, ideally the evaluation would compare other ways that participants can enter PIN passwords" "['non', 'non', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg']" "paper quality" |
"The dataset is an extension of CLEVR using simple motions of primitive 3D objects to produce videos of primitive actions (e.g. pick and place a cube), compositional actions (e.g. ""cone is rotated during the sliding of the sphere""), and finally a 3D object localization tasks (i.e. where is the ""snitch"" object at th... |
"Overall, the idea is presented clearly and the writing is well structured" "['non', 'non', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg']" "paper quality" |
"Note: the abstract is not included in the PDF" "['non', 'non', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg']" "paper quality" |
"They seem to work in different dimensions of the signals." "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non']" "paper quality" |
"Overall, the analysis lacks clarity, rigour and situated in the literature" "['non', 'non', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg']" "paper quality" |
"The second study expands on those findings to balance the depth and breadth of mind maps creation." "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non']" "paper quality" |
"The authors consider how biologically motivated synaptic eligibility traces can be used for backpropagation-like learning, in particular by approximating local gradient computations in recurrent neural networks." "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non',... |
"Similarly, what is the nature of the different action spaces" "['non', 'non', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg']" "paper quality" |
"I advocate for accepting this submission." "['non', 'non', 'non', 'non', 'non', 'non', 'non']" "paper quality" |
"If not, is it really an explanation of the OSR?" "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non']" "paper quality" |
"1] Oktay O, Ferrante E, Kamnitsas K, Heinrich M, Bai W, Caballero J, et al. Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and Segmentation." "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non'... |
"This paper presents a multi-label classification framework based on deep convolutional neural networks (CNNs) for diagnosing the presence of 14 common thoracic diseases and observations in X-rays images." "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', ... |
"I imagine that more of these errors occurred in the W=10mm condition." "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non']" "paper quality" |
"First, the authors attempted to identify a gap in the literature concerning how visualisation designs can support the review and analysis of user-generated data." "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', ... |
"I am also not clear on where the image attribution prior comes from for the image task" "['arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg']" "paper quality" |
"Maybe they can uniformly outperform Gaussian policy?" "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'non']" "paper quality" |
"The same type of comments apply to the second part of the results, which demonstrates that a task that doesn't require working memory results in neurons with shorter intrinsic timescales compared to the working memory task." "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', '... |
"Though the final proof is in the pudding, and the addition of the VAE to model the base distribution yields promising results , the only justification for it in the paper is to create a more ""expressive"" model" "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'arg', 'arg', 'arg', 'arg', 'arg',... |
"I think the interesting part may be in quantifying just how much of a difference there is between short and long timescale neurons -- for instance, does task-relevant information in both neuron groups fall off in a way that can be well predicted by their intrinsic time constants" "['non', 'non', 'arg', 'arg', 'arg', '... |
"The conclusion is more like a validation for the usefulness of the temporal information, while technical novelty may not be very sufficient in this case" "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'a... |
"While completely alleviating this concern may once again be quite difficult/impossible , it could be significantly alleviated by generating training samples dynamically (at every iteration) instead of generating a dataset in one shot and training on it" "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', ... |
"For further inspiration on visualization for comparing (resident) profiles, I'd suggest to browse other works by Plaisant et al. in addition to [29] : pseudo-url pseudo-url IMPLEMENTATION DETAILS The implementation details report on constraints that may be too project-specific (with occurrences of ""project"" or ""the... |
"In fact, it is performed under the exact assumption where the theoretical analysis is done for the A*MCTS." "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non']" "paper quality" |
"It contradicts with the authors other explanation" "['arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg']" "paper quality" |
"It is not clear from the explanation in Section 3.1 how the authors deal with the differences in resolution between DRIVE and IDRID data sets" "['arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg']... |
"Attribution priors as you formalize it in section 2 (which seems like the core contribution of the paper) was introduced in 2017 pseudo-url where they use a mask on a saliency map to regularize the representation learned." "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'no... |
"Their statement of the novelty of their method: (1) allowing each feature to have its own transformation was not clear" "['arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg']" "paper quality" |
"This paper presents a clustering method using deep autoencoder for aortic value shape clustering." "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non']" "paper quality" |
"Further, there is always the chance that authors are not aware of every piece of related literature (in all of computer graphics), as it might be the case here." "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'non', 'non', 'non', 'non', '... |
"The improvement on test errors does not look significant" "['arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg']" "paper quality" |
"The authors of [2] provided a website with all the results on the DRIVE database (pseudo-url), so their segmentations could be taken from there." "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'no... |
"Though this is not the issue to be considered in this work." "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non']" "paper quality" |
"Figure 4: I would suggest to split the figure into 2 rows (3.5 and 3.6) and annotate columns in black font over white paper background, instead of white font over blue application background : with a low zoom level on my PDF reader, I had first confused these annotations with potential widgets in the application" "['n... |
"The proposed localisation map is actually the result of distance transform, and has been initially used in : ""Counting in The Wild"", C. Arteta, V. Lempitsky, A. Zisserman, In ECCV 2016." "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'n... |
"The first of two modules is responsible for learning a goal embedding of a given instruction using a learned distance function." "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non']" "paper quality" |
"after setting up the expectation that the marks will not be modelled initially, up till footnote 2 on page 7" "['arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg']" "paper quality" |
"I have several issues with this work" "['arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg']" "paper quality" |
"b- Please explain (a.u.)" "['non', 'non', 'non', 'non', 'non', 'non', 'non']" "paper quality" |
"4- How does the specifics of the network architecture influence the performance" "['non', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg']" "paper quality" |
"In fact, this reads as if the feedback from the experts was so bad that they did not want to describe it." "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non']" "paper quality" |
"Authors propose a decoder arquitecture model named Subscale Pixel Network." "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non']" "paper quality" |
"Please elaborate on the procedure and settings of the Bayesian network used in this paper" "['arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg']" "paper quality" |
"Experiments have shown that the convergence speed and results are improved, but not significant" "['arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg']" "paper quality" |
"Instead of learning the conditional intensity for the point process, as is usually the case, the authors instead propose an elegant method based on Normalizing Flows to directly learn the probability distribution of the next time step" "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non... |
"Also, using the VAE for a predictive task is a little unusual" "['non', 'non', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg']" "paper quality" |
"and Hausdorff distance to measure the recon accuracy between original image and reconstructed image." "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non']" "paper quality" |
"REFERENCES Sauvik Das, Gierad Laput, Chris Harrison, and Jason I. Hong." "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non']" "paper quality" |
"While there are advantages to training the modules separately , there is a risk that they are reasoning over different portions of the goal space" "['non', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'non', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'a... |
"Table 3 (text classification result) does not list baselines" "['arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg']" "paper quality" |
"The key idea in the paper is to use functional prior that is completely uncertain about prediction of any class." "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non']" "paper quality" |
"This will potentially bring us closer to rapid evaluation of lesions during surgical operation using fast CM" "['arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg']" "paper quality" |
"Specify that it is on the validation set if so, and clarify these points: number of epochs was set to 150, early stopping to 10 epochs Why is this clipping used?" "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', ... |
"There may be much interest in how we learn from so few samples in certain settings, but we also learn some relationships/tasks in a classical associationist manner which is well modeled by 'slow' gradient-descent like learning (e.g. Rescorla Wagner)." "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'n... |
"While for criterion 1 you define overfitting as 'above the diagonal line and underfitting as below the line, which is at least measurable depending on sample density of the randomization, such criteria are missing for C2 and C3" "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non... |
"It would be helpful to put the results in context with all other methods such as automatic and semi-automatic methods" "['arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg']" "paper quality" |
"In the methods section you describe training an autoencoder on unlabeled data, then training an LSTM using autoencoder embeding and embryologist grades." "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'n... |
"One example, in the last paragraph before EXPERIMENTS (p. 4), a point is made that goes like this: - a lack of effect might be due to A values that are too close to each other, - even if A should in fact have an effect according to some model (Eq." "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non'... |
"It is unclear to me what is the benefit of the proposed method" "['arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg']" "paper quality" |
"These are notoriously difficult to select directly due to issues of occlusion and the ""hairball"" effect when there are many trajectories intertwines, as is the case with eye tracking, network, or flight trails data." "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', ... |
"Obtained results are supported with clear metrics" "['arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg']" "paper quality" |
"Opposite to the Method part, it's hard to read the abstract and introduction" "['non', 'non', 'non', 'non', 'non', 'non', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg']" "paper quality" |
"The area under the ROC curve is not a proper metric for evaluating a vessel segmentation algorithm due to the class imbalance between the TP and TN classes (vessels vs. background ratio is around 12% in fundus pictures)" "['arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg'... |
"This particular recipe might be reasonable , but the semi-formal flavour is distracting" "['arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'non', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg']" "paper quality" |
"If the authors can reject (1), (2) and (3), they should find a plausible explaination why performance improves in their experiments" "['arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'a... |
"How does this relate to their synaptic time constants" "['arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg']" "paper quality" |
"However, it does not clearly explain the key insights of why it could perform better" "['non', 'non', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg']" "paper quality" |
"Either way this is important work, with many interesting future directions" "['non', 'non', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg']" "paper quality" |
"I am satisfied with the changes in the modified manuscript , and changing am my recommendation to accept." "['arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non']" "paper quality" |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.