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"Unified pragmatic models for generating and following instructions." "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non']" "paper quality" |
"In the current version, you seem to define overfitting on-the-fly while defining your criteria." "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non']" "paper quality" |
"I actually dont understand the purpose of this paragraph" "['arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg']" "paper quality" |
"Instead, you present vague of sharp drops and two modes but do not present rigorous definitions" "['non', 'non', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg']" "paper quality" |
"Does that mean that you assume that whenever the training accuracy drops lower than that of the model without regularization, it starts to underfit?" "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non',... |
"I have seen {-1, 1}^2, but not [-1, 1]^2)." "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non']" "paper quality" |
"The paper is fairly well written and structured, and it seems technically sound" "['arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg']" "paper quality" |
"The goal search process relies on a number of user-defined parameters - The nature of the instructions used for experimental evaluations is unclear" "['arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'non', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', ... |
"Authors do not visualize the attention (as is common in previous work involving attention in e.g., NLP)" "['arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg']" "paper quality" |
"Cons - The contribution of the proposed method is not clear to me" "['non', 'non', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg']" "paper quality" |
"2) Theoretical inconsistencies Although the system might work overall, two things seem to be technically incorrect : - The decoder and classifier are expected to approximate the distribution of training data according to the authors (for valid generative replay)." "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'no... |
"This is not a sound mechanism to achieve an as-faithful-as-possible (limited by the expressiveness of the encoder-decoder architectures) approximation to the training data" "['arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg... |
"In general this list is not comprehensive either: there are many relevant connections to the robustness-accuracy tradeoff (pseudo-url, pseudo-url), and other works." "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non... |
"First, if my understanding of the paper is correct, the experiments show that (a) the Bayes-optimal classifier can be non-robust in real-world settings, and (b) even when the Bayes-optimal classifier is robust, NNs can learn a non-robust decision boundary." "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'no... |
"In particular, (b) indicates that it may be *necessary* to design regularization methods that steer NNs towards the correct decision boundaryit says nothing about whether these regularization methods will be *sufficient* , which the paper seems to suggest, e.g. in the abstract ""our results suggest that adversarial vu... |
"The construction of the dataset focuses on demonstrating that compositional action classification and long-term temporal reasoning for action understanding and localization in videos are largely unsolved problems, and that frame aggregation-based methods on real video data in prior work datasets, have found relative s... |
"Pros: This paper presents the first study of tree search for optimal actions in the presence of pretrained value and policy networks" "['non', 'non', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg']" "paper quality" |
"For example, what kind of additional benefit will it bring when integrating the priority queue into the MCTS algorithms" "['non', 'non', 'non', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg']" "paper quality" |
"In fact, the proof of the theorems could be moved to appendices." "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non']" "paper quality" |
"There are various classes of BPPs, and it would be relevant to briefly present them." "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non']" "paper quality" |
"e) The Actor-Critic framework, coupled with a conditional query learning algorithm, is unfortunately unintelligible due to the fact that many notations are left unspecified" "['non', 'non', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'ar... |
"In Eq (2) what is d_i" "['non', 'non', 'non', 'non', 'non', 'arg', 'arg', 'arg']" "paper quality" |
"It is not clear which model is used in Figure 2" "['arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg']" "paper quality" |
"Summary The authors apply MARL to principal-agent / mechanism design problems where selfish agents need to be incentivized to coordinate towards a leader's (collective) goal." "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', '... |
"What is unique about the MRF formalism that -- for practical applications -- could not be effectively captured in a directed graphical model" "['arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg']" "paper qualit... |
"I would also like to see a comparison to CD-k, which often outperforms PCD-k" "['arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg']" "paper quality" |
"Is that the case?" "['non', 'non', 'non', 'non', 'non']" "paper quality" |
"This paper is aimed at tackling a general issue in NLP: Hard-negative training data (negative but very similar to positive) can easily confuse standard NLP model." "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non',... |
"Strenghts: + the paper proposes a reasonable way to try to improve accuracy by identifying hard-negative examples + the paper is well written , but it would benefit from another round of proofreading for grammar and clarity Weaknesses: - performance of the proposed method highly depends on labels of hard-negative exam... |
"While this paper has some interesting experiments" "['non', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg']" "paper quality" |
"While the experiments show the value of hierarchy , they do not show the value of this particular method of creating hierarchy" "['arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'non', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg']" "paper quality" |
"If this is the case, I feel like the empirical results are not novel enough to create value for the community and too tied to a particular approach to hierarchy which does not align with much of the past work on HRL" "['non', 'non', 'non', 'non', 'non', 'non', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'a... |
"In this scheme, a Teacher generates data according to a Gaussian random field, and a Student learns them via kernel regression." "['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" |
"The paper defines r as ratio of network updates to environment interactions to describe model-free and model-based methods, and hypothesizes that model-based methods are more data-efficient because of a higher ratio r. To test this hypothesis, the authors take Rainbow DQN (model-free) and modify it to increase its rat... |
"Using the modified verison of Rainbow (OTRainbow), the authors replicate an experimental comparison with SiMPLe (Kaiser et al, 2019), showing that Rainbow DQN can be a harder baseline to beat than previously reported (Figure 1)." "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'no... |
"A way to improve the paper would be to make it clear from the beginning that these results are about Dyna-style algorithms in the Atari domain ." "['arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'ar... |
"Equation (1) and (2) are extremely clear" "['arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg']" "paper quality" |
"How the proposed method can have better results." "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non']" "paper quality" |
"3) the small improvement of the expanded network can be given by the different initialization." "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non']" "paper quality" |
"This paper proposed a dual graph representation method to learn the representation of nodes in a graph." "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non']" "paper quality" |
"The experimental result demonstrates some improvement over existing methods." "['non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non', 'non']" "paper quality" |
"Thus, the novelty is incremental" "['non', 'non', 'arg', 'arg', 'arg', 'arg']" "paper quality" |
"Quantitative assessment is fairly limited, and yielding underwhelming results compared to individual networks (ex. CycleGAN)." "['arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'non', 'non', 'non', 'non', 'non', 'non']" "paper quality" |
"The contribution is original in the sense that complementing data sets is a really challenging task, difficult to address with current available solutions" "['arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', ... |
"I would suggest to include the F1-score and the area under the Precision/Recall curve, instead , which have been used already in other studies (see [1] and [2], for example, or Orlando et al. 2017 in the submitted draft)." "['arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'ar... |
"The results for vessel segmentation in IDRID images do not look as accurate as those in the DRIVE data set" "['arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg']" "paper quality" |
"The abstract should be improved" "['arg', 'arg', 'arg', 'arg', 'arg']" "paper quality" |
"The authors could spend a little more effort on explaining the intuition behind conditional versus unconditional labels and the advantages of each" "['arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg']" "paper quality... |
"Only a single (large) dataset is used, while there are many publicly available datasets that could be included for additional 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']" "paper qu... |
"Could it be extended to work with only a fraction of the nuclei annotated ?" "['arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'arg', 'non']" "paper quality" |
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