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"Contrast normalization yielded the best results for detecting meniscus tears, and layer normalization for detecting the remaining pathologies.The algorithm was explained very well" "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'arg', 'ar... |
"From the guidelines outlined in section 9, it is hard to pinpoint new learning that the paper provides to the visualisation of subsequent design practices apart from restating well-known design insights" "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', '... |
"Authors could comment on how their model could be incorporated into (e.g. deep) segmentation approaches, because I do not see an immediate way to do that without requiring the (precise) image-based localization of mandible landmarks in a test volume." "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'n... |
"Despite the fact that this set has been the standard for evaluating blood vessel segmentation algorithms since 2004, the resolution of the images is extremelly different from the current ones" "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non'... |
"The heavy lifting is seemingly done by well known architectures: default RNN & a feed-forward NN." "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non']" "paper quality" |
"This intriguing study proposes to modify the classical Q-learning paradigm by splitting the reward into two streams with different parameters, one for positive rewards and one for negative rewards." "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non',... |
"Assessing in-focus will even get rid of blurred frames and frames as discussed in the Appendix." "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non']" "paper quality" |
"I am quite confused about what exactly the author are claiming is the core contribution of their work" "['arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg']" "paper quality" |
"Is there a reason for not using it?" "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non']" "paper quality" |
"Supporting arguments The approach seems sound and conceptually related to a multi-agent generalization of STRAW pseudo-url, where a planner predicts / commits to an action-plan for a single agent" "['non', 'non', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', '... |
"Using ensembles of Q-function can naturally reduce the variance of decisions, so it can speed up the training procedure for certain tasks." "['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', 'n... |
"The work would benefit from more detailed discussion of the training algorithm that provides some indication that the results aren't unduly sensitive to these details" "['arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'a... |
"Despite these weaknesses with regards to the study reporting and discussion, the paper is interesting and showcases good and novel work and I think the GI community would benefit from its presentation (albeit with some changes as suggested above)." "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non'... |
"It is particularly important to evaluate technology with target stakeholders" "['arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg']" "paper quality" |
"The results are also very nice" "['arg', 'arg', 'arg', 'arg', 'arg', 'arg']" "paper quality" |
"The paper proposes a modular approach to the problem of mapping instructions to robot actions." "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non']" "paper quality" |
"The paper provides a broadly useful synthesis of key differences between ANN and SNN approaches" "['arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg']" "paper quality" |
"Does this mean previous methods learned the same transformation for all features." "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non']" "paper quality" |
"The results are demonstrated on several example datasets and contrasted against visualizations using traditional PCP and scatterplots." "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non']" "paper quality" |
"I also have a number of concerns that I would like to see addressed in a revision" "['arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg']" "paper quality" |
"Experiments show that the proposed method outperforms the model trained on the context-agnostic setting and acquires similar results to models trained by context-specific settings.1)." "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non',... |
"Also, how many times could participants practice" "['non', 'non', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg']" "paper quality" |
"The authors mention that Feudal approaches ""employ different rewards for different levels of the hierarchy rather than optimizing a single objective for the entire model as we do.""" "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', ... |
"ABSTRACT Abstract provides information that is ideally expected : one sentence of context, summary of contribution, explanation of system and methodology." "['non', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', ... |
"Our challenge is to understand how this occurs." "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non']" "paper quality" |
"Section 2: In description of n-Path-CNN3D, extent should be extend Section 2 , Dataset: For data generation, we consider various smooth curved trajectories with different motion magnitudes this is a bit vague , can you provide more information?" "['non', 'non', 'non', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', '... |
"But this looks wrong since it should include the distribution of all instances of 3D-BPP." "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non']" "paper quality" |
"The work would have benefited from a discussion of the implications of longer intrinsic timescale neurons retaining task-relevant information for longer -- in particular, this finding feels a bit ""trivial"" without the case being made for why this should push understanding in the field" "['arg', 'arg', 'arg', 'arg', ... |
"CLARITY Removing tap points that are further than a fixed distance away from the target center will likely affect W levels differently." "['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" |
"Tables and figures are inconveniently far from where they are referenced in the text" "['arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg']" "paper quality" |
"The authors should have identified a task where networks trained on MNIST perform poorly, and then propose a different strategy or architecture" "['arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg']" "paper qua... |
"Typo line 24 Moreover, we show that as (we) train the model Typo line 87 Second, the model does not rely on labeled data and learn(s)" "['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', ... |
"Can we prove that at least visually" "['arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg']" "paper quality" |
"The paper is easy to read, and seems technically sound" "['arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg']" "paper quality" |
"As the authors state themselves p. 9, ""A common way to check external validity is to apply obtained parameters to data from different participants.""" "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non... |
"Moreover, instead of showing the consistent benefits of large batch, the authors tune the batchsize as a hyperparameter for different experiments" "['non', 'non', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg']" "paper q... |
"The writing is clear and the paper is easy to read" "['arg', 'arg', 'arg', 'arg', 'non', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg']" "paper quality" |
"The best combination (both labels + CRF) are close or on par with full supervision." "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non']" "paper quality" |
"The main place to improve is to have some quantitative analysis of the quality of their model perhaps MSE of image reconstruction." "['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" |
"The authors then suggest some design guidelines at the end for developing usable patient data visualizations." "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non']" "paper quality" |
"Looking into the nuances of the explored phenomena may provide new information for the field." "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non']" "paper quality" |
"It further establishes the sample complexity to determine optimal actions." "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non']" "paper quality" |
"However, I am aware of at least one work where such concepts have been proposed and explored already" "['non', 'non', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg']" "paper quality" |
"The authors consider using 3 different objective functions: L1, the original cross entropy loss; L2, capturing the shared features in positive and hard-negative examples as regularizer of L1 by introducing a new label z; L3, a three-class classification objective using softmax." "['non', 'non', 'non', 'non', 'non', 'n... |
"It's shown that such self-expressiveness constraint can help to preserve subtle structures during image translation, which is critical for medical tasks, such as plaque detection." "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'no... |
"e.g. what was the nonlinearity used in the model CNN" "['non', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg']" "paper quality" |
"The paper is not well organized" "['arg', 'arg', 'arg', 'arg', 'arg', 'arg']" "paper quality" |
"One of their stated novel contribution was that their filters were convolutional but they do not discuss the potential connection convolutional filters have to transformation of features which seemed like a gap" "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'arg', 'arg', ... |
"Whereas, if internal matrices have a number of dimensions lower than the rank of the original matrix, these matrices act as filters on features or feature combination." "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', '... |
"This paper proposes studying adversarial examples from the perspective of Bayes-optimal classifiers." "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non']" "paper quality" |
"Its well known that 'chronic conditions might take a different form and thus interpreted within a particular context; this makes the contribution of the paper marginal, as one would expect a clear articulation of how the method is chosen to fit into the context of the wider literature on similar issues and ultimately ... |
"The paper also definitively proves that there are realistic datasets where the Bayes-optimal classifier is non-robust, which goes against quite a bit of conventional wisdom in the field and opens up many new paths for research" "['arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg'... |
"This is briefly addressed in the limitations , but I would have found some discussion of this aspect very helpful, especially earlier when introducing the research motivation" "['non', 'non', 'arg', 'arg', 'arg', 'arg', 'arg', 'non', 'non', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', '... |
"The authors also compare the annotation time between points, bounding boxes and full supervision, which really highlight the impact of their method (x10 speedup)" "['arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', ... |
"For instance, Figure 9 needs to use the same images presented in Figure 8 to provide enough support for the need of despeckling network" "['non', 'non', 'non', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg']" "pap... |
"The novelty of the proposed framework is to take the label structure into account and to learn label dependencies, based on the idea of conditional learning in (Chen et al., 2019) and the lung disease hierarchy of the CheXpert dataset (Irvin and al., 2019)." "['arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'a... |
"This paper presents an emprical study of how a properly tuned implementation of a model-free RL method can achieve data-efficiency similar to a state-of-the-art model-based method for the Atari domain." "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'n... |
"I am somewhat alarmed at the use of 100 updates of the joint model q(v,h) (K1 = 100) for every update of the other parameters" "['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', 'arg', '... |
"Several experiments are proposed and results are presented." "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non']" "paper quality" |
"The authors state directionality is a critical advantage of their brushing technique, but never actually stipulate how direction is specified in the original share definition" "['arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', '... |
"Here again, MNIST would be a useful dataset" "['non', 'non', 'non', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg']" "paper quality" |
"A more complete evaluation with different surgical scenarios would be needed to demonstrate this feature." "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non']" "paper quality" |
"The latter assessed usability (SUS) and workload (NASA TLX) and custom miscellaneous items." "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non']" "paper quality" |
"Perhaps I misunderstood something." "['non', 'non', 'non', 'non', 'non']" "paper quality" |
"Overall a clearly written paper, with nice visual results" "['non', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg']" "paper quality" |
"Another concern I have is about the disparity between the emphasis on how each patients medical history (and in turn, visualization) is unique, and then the proposal of general design guidelines for creating patient visualizations" "['arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', '... |
"Fig. 12 should also show the actual success rates measured in these studies." "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non']" "paper quality" |
"In figure 1 (b), the results of M=4,8,16,32 are very similar, and it looks unstable" "['arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg']" "paper quality" |
"BTW, in the Section 4.3, what does [-1, 1]^2 mean" "['arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg']" "paper quality" |
"I would like to see this curve extended until we start to see signs of overfitting" "['arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg']" "paper quality" |
"A final addition that would have made this work more compelling would have been to more thoroughly explore e-prop for computations that unfold on timescales beyond those built-in to the neurons (e.g. membrane or adaptation timescales) and which instead rely on reverberating network activity" "['arg', 'arg', 'arg', 'ar... |
"In particular, it learns the embedding of paired nodes simultaneously for multiple times, and use the mean values as the final representation." "['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'... |
"One needs to go see Appendix C to understand what the model used (SQL) consists in" "['arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg']" "paper quality" |
"3) more details about the convGRU may be useful, for example its architecture." "['non', 'non', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg']" "paper quality" |
"Details of training should be more clearly written" "['arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg']" "paper quality" |
"But the individual statements are sometimes seductive" "['non', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg']" "paper quality" |
"It seems the robot arm task is very similar to the navigation task, due to robot arm's end effector being position controlled directly" "['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']" "pape... |
"I assuming - as one would consider the obvious choice - that directionality is taken from the direction of the sketched brush at the time the user draws it." "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non'... |
"There are certain original aspects in this work (latent en-/decoding, inception-based decoder network, latent space interpolation, generalization to previously unseen shapes etc.), but the work may not be as original as authors suggest, since they may not be aware of a very similar work (see Cons), where some of the d... |
"Motivation is based on anonymisation and data cleansing." "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non']" "paper quality" |
"In the exploitation step, architectures are generated by a Bayesian Network." "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non']" "paper quality" |
"There are some questions in the experiment section that have not been addressed very well" "['arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg']" "paper quality" |
"The largest batch considered is 64*32, which is relatively small" "['arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg']" "paper quality" |
"Plenty of works combine autoencoders with LSTMs" "['arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg']" "paper quality" |
"So, if you generically apply Option-Critic, it would in fact be possible to disentangle the inductive bias of hierarchy from the inductive bias of temporal abstraction by using options that always terminate." "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'no... |
"For CNNs, however, it is unclear if the Bayes-optimal classifier lies in the hypothesis class (there are ""universal approximation"" arguments but these usually require arbitrarily wide networks and are non-constructive)couldn't it be that the CNNs used here is in the same boat as the Linear SVM (i.e. the Bayes-optima... |
"This is also the case for Theorems 2-4." "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non']" "paper quality" |
"However, I noted that there are several typos throughout the text , and I recommend a thorough editing pass for the camera ready" "['non', 'non', 'non', 'non', 'non', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'non', 'non', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg']" "paper quality" |
"Those maps are used for training with a partial cross-entropy." "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non']" "paper quality" |
"Experiments are convincing" "['arg', 'arg', 'arg']" "paper quality" |
"Is there some reference for multiplicative residual connections" "['arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg']" "paper quality" |
"Criterion 2 (b) is not clear" "['arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg']" "paper quality" |
"There are a few comments I have about the paper that I describe below." "['arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'non', 'non', 'non', 'non', 'non']" "paper quality" |
"The paper is well written and organized, with minor details to address in this matter (see CONS)." "['arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'non', 'non', 'non', 'non', 'non']" "paper quality" |
"Additionally, it is very much not clear why someone, for example, would select the approach of this paper in comparison to popular paradigms like Option-Critic and Feudal Networks" "['non', 'non', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'ar... |
"Did you train on some other dataset and test on skin lesion dataset" "['arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg']" "paper quality" |
"The main contribution is it provides a way to reduce the number of interactions with the environment." "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non']" "paper quality" |
"The paper is written very well , the implementation details are provided to help reproducing the results" "['arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'non', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg']" "paper quality" |
"The description of each patient drags on a little long , and much of it does not become useful after in the later sections , since particular medical history is not referenced in later sections." "['arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'non', 'non', 'arg', 'arg', 'arg', 'arg', 'arg', 'a... |
"The choice de-speckle network architecture is somewhat not sound, with the multiplicative residual connection near the outputs of the network and the median filtering operation" "['arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg',... |
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