Datasets:

launch
/

ampere

doc_id stringlengths 9 9	text sequence	labels sequence
BkCxP2Fez	[ "The paper presents a Depthwise Separable Graph Convolution network that aims at generalizing Depthwise convolutions, that exhibit a nice performance in image related tasks, to the graph domain. ", "In particular it targets Graph Convolutional Networks.", "In the abstract the authors mention that the Depthwise ...	[ "fact", "fact", "fact", "evaluation", "fact", "fact", "evaluation", "evaluation", "fact", "request", "evaluation", "evaluation", "fact", "fact", "fact", "fact", "fact", "fact", "evaluation", "fact", "request", "request", "evaluation", "request", "fact", "evaluation"...
HyxmggJbM	[ "This paper proposes a new way of sampling data for updates in deep-Q networks. ", "The basic principle is to update Q values starting from the end of the episode in order to facility quick propagation of rewards back along the episode.", "The paper is interesting, ", "but it lacks the proper comparisons to p...	[ "fact", "fact", "evaluation", "evaluation", "fact", "fact", "fact", "request", "evaluation", "evaluation", "evaluation", "evaluation", "evaluation", "request", "fact", "fact" ]
H1WORsdlG	[ "This paper addresses the important problem of understanding mathematically how GANs work. ", "The approach taken here is to look at GAN through the lense of the scattering transform.", "Unfortunately the manuscrit submitted is very poorly written.", "Introduction and flow of thoughts is really hard to follow...	[ "fact", "fact", "evaluation", "evaluation", "evaluation", "evaluation", "request", "request", "request" ]
H1JzYwcxM	[ "=== SUMMARY === The paper considers a combination of Reinforcement Learning (RL) and Imitation Learning (IL), in the infinite horizon discounted MDP setting.", "The IL part is in the form of an oracle that returns a value function V^e, which is an approximation of the optimal value function. ", "The paper defi...	[ "fact", "fact", "fact", "fact", "fact", "fact", "fact", "fact", "fact", "fact", "fact", "fact", "fact", "evaluation", "evaluation", "fact", "fact", "fact", "evaluation", "reference", "fact", "fact", "fact", "fact", "fact", "fact", "fact", "evaluation", "fact",...
BktJHw_lM	[ "The paper discusses a setting in which an existing dataset/trained model is augmented/refined by adding additional datapoints.", "Issues of how to price the new data are discussed in a high level, abstract way, and arguments against retrieving the new data for free or encrypting it are presented.", "Overall, t...	[ "fact", "fact", "evaluation", "fact", "fact", "evaluation", "fact", "fact", "evaluation", "evaluation", "fact", "evaluation", "fact", "evaluation", "fact", "fact", "evaluation", "fact", "fact", "fact", "evaluation", "request", "fact", "fact", "evaluation", "fact", ...
BkEYMCPlG	[ "The authors present RDA, the Recurrent Discounted Attention unit, that improves upon RWA, the earlier introduced Recurrent Weighted Average unit, by adding a discount factor. ", "While the RWA was an interesting idea with bad results (far worse than the standard GRU or LSTM with standard attention except for han...	[ "fact", "evaluation", "evaluation", "evaluation", "evaluation", "fact", "evaluation", "evaluation", "fact", "fact", "evaluation", "fact", "fact", "request" ]
rkZAtAaxM	[ "This manuscript is fairly well-written, ", "and discusses how the batch normalization step helps to stabilize the scale of the gradients. ", "Intriguingly, the analysis suggests that using a shallower but wider resnet should provide competitive performance, which is supported by empirical evidence. ", "Thi...	[ "evaluation", "fact", "fact", "evaluation", "evaluation", "fact", "request", "fact", "evaluation", "evaluation", "request", "fact", "fact", "evaluation", "evaluation", "evaluation", "request" ]
BknXbsdxG	[ "In this paper, an number of very strong (even extraordinary) claims are made:", "* The abstract promises \"a framework to understand the unprecedented performance and robustness of deep neural networks using field theory.\"", "* Page 8 states that this is \"This is a first attempt to describe a neural network ...	[ "evaluation", "fact", "quote", "fact", "quote", "fact", "evaluation", "evaluation", "fact", "fact", "evaluation", "non-arg", "evaluation", "evaluation", "evaluation", "evaluation", "evaluation", "evaluation", "non-arg", "evaluation", "non-arg", "evaluation", "evaluation",...
SksrEW9eG	[ "Summary:The paper proposes a new dialog model combining both retrieval-based and generation-based modules. ", "Answers are produced in three phases: a retrieval-based model extracts candidate answers; a generator model, conditioned on retrieved answers, produces an additional candidate; a reranker outputs the be...	[ "fact", "fact", "evaluation", "fact", "fact", "evaluation", "evaluation", "reference", "fact", "fact", "fact", "fact", "evaluation", "evaluation", "fact", "fact", "evaluation", "evaluation", "fact", "request", "evaluation", "request", "request", "fact", "fact", "fac...
BytyNwclz	[ "This paper presents an analysis of the communication systems that arose when neural network based agents played simple referential games. ", "The set up is that a speaker and a listener engage in a game where both can see a set of possible referents (either represented symbolically in terms of features, or repre...	[ "fact", "fact", "evaluation", "fact", "evaluation", "fact", "fact", "fact", "fact", "evaluation", "evaluation", "evaluation", "evaluation", "fact", "evaluation", "request", "reference", "request", "request", "request", "evaluation", "evaluation", "evaluation", "evaluati...
Hyl2iJgGG	[ "This paper examines the very popular and useful ADAM optimization algorithm, and locates a mistake in its proof of convergence (for convex problems).", "Not only that, the authors also show a specific toy convex problem on which ADAM fails to converge.", "Once the problem was identified to be the decrease in v...	[ "fact", "fact", "fact", "fact", "evaluation", "evaluation", "fact", "evaluation", "fact", "evaluation", "evaluation", "request", "evaluation", "evaluation", "fact", "evaluation", "request", "fact", "fact", "fact", "evaluation", "request", "evaluation", "request", "fac...
rynqOnBez	[ "My problem with this paper that all the theoretical contributions / the new approach refer to 2 arXiv papers, ", "what's then left is an application of that approach to learning form imperfect demonstrations.", "Quality ====== The approach seems sound ", "but the paper does not provide many details on the un...	[ "evaluation", "fact", "evaluation", "evaluation", "evaluation", "fact", "evaluation", "request", "evaluation", "evaluation", "evaluation", "evaluation", "evaluation", "evaluation", "evaluation", "evaluation" ]
BkE3cW5gG	[ "Summary: This paper presents a thorough examination of the effects of pruning on model performance. ", "Importantly, they compare the performance of \"large-sparse\" models (large models that underwent pruning in order to reduce memory footprint of model) and \"small-dense\" models, showing that \"large-sparse\...	[ "fact", "fact", "fact", "fact", "evaluation", "fact", "evaluation", "evaluation", "evaluation", "request", "evaluation", "evaluation", "evaluation", "evaluation", "request", "request", "evaluation", "evaluation", "evaluation", "evaluation", "evaluation", "evaluation", "ev...
HypMNiy-G	[ "Training GAN in a hierarchical optimization schedule shows promising performance recently (e.g. Zhao et al., 2016). ", "However, these works utilize the prior knowledge of the data (e.g. image) ", "and it's hard to generalize it to other data types (e.g. text). ", "The paper aims to learn these hierarchies d...	[ "evaluation", "fact", "evaluation", "fact", "evaluation", "evaluation", "evaluation", "evaluation", "non-arg", "request", "request", "fact", "evaluation", "evaluation", "non-arg", "non-arg", "evaluation", "evaluation", "evaluation", "request", "evaluation", "evaluation", ...
BkQD60b-f	[ "The paper proposes the use of a GAN to learn the distribution of image classes from an existing classifier, ", "that is a nice and straightforward idea. ", "From the point of view of forensic analysis of a classifier, it supposes a more principled strategy than a brute force attack based on the classification ...	[ "fact", "evaluation", "fact", "evaluation", "evaluation", "evaluation", "evaluation", "evaluation", "evaluation", "fact", "evaluation", "request", "request", "request", "evaluation", "request", "request", "evaluation", "evaluation" ]
rJ74wm5xM	[ "The paper describes a neural network-based approach to active localization based upon RGB images. ", "The framework employs Bayesian filtering to maintain an estimate of the agent's pose using a convolutional network model for the measurement (perception) function. ", "A convolutional network models the policy...	[ "fact", "fact", "fact", "fact", "fact", "fact", "fact", "fact", "evaluation", "evaluation", "request", "evaluation", "fact", "fact", "evaluation", "fact", "fact", "fact", "fact", "evaluation", "evaluation", "fact", "evaluation", "evaluation", "request", "evaluation"...
S1EAO5qxM	[ "In the centre loss, the centre is learned. ", "Now it's calculated as the average of the last layer's features", "To enable training with SGD, the authors calculate the centre within a mini batch" ]	[ "fact", "fact", "fact" ]
SkDHZUXlG	[ "The authors train an RNN to perform deduced reckoning (ded reckoning) for spatial navigation, ", "and then study the responses of the model neurons in the RNN. ", "They find many properties reminiscent of neurons in the mammalian entorhinal cortex (EC): grid cells, border cells, etc. ", "When regularization ...	[ "fact", "fact", "fact", "fact", "evaluation", "evaluation", "non-arg", "non-arg", "evaluation", "request", "fact", "evaluation", "fact", "evaluation", "evaluation", "evaluation", "request", "reference", "non-arg", "evaluation", "request", "non-arg", "evaluation", "non-a...
BynVEQJGM	[ "This paper considers the problem of autonomous lane changing for self-driving cars in multi-lane multi-agent slot car setting. ", "The authors propose a new learning strategy called Q-masking which couples well a defined low level controller with a high level tactical decision making policy.", "The authors rig...	[ "fact", "fact", "evaluation", "evaluation", "fact", "request", "evaluation", "evaluation", "evaluation", "evaluation", "quote", "evaluation", "fact", "evaluation", "fact", "evaluation", "fact", "fact", "fact", "fact", "evaluation", "fact", "fact", "fact", "evaluation"...
HJSdXVqxG	[ "This paper creates a layered representation in order to better learn segmentation from unlabeled images. ", "It is well motivated, ", "as Fig. 1 clearly shows the idea that if the segmentation was removed properly, the result would still be a natural image. ", "However, the method itself as described in the ...	[ "fact", "evaluation", "fact", "evaluation", "evaluation", "fact", "fact", "fact", "fact", "fact", "fact", "fact", "fact", "fact", "fact", "fact", "evaluation", "fact", "fact", "evaluation", "evaluation", "evaluation", "evaluation" ]
B1oFM1FeG	[ "This paper presents, and analyzes, a method for learning word relationships based on co-occurrence. ", "In the method, relationships between pairs of words (A, B) are represented by the terms that tend to occur around co-mentions of A and B in text. ", "The paper shows the start of some interesting ideas, ",...	[ "fact", "fact", "evaluation", "request", "evaluation", "evaluation", "fact", "request", "evaluation", "request", "evaluation", "evaluation", "evaluation", "fact", "evaluation", "request", "fact", "fact", "fact", "request", "request", "evaluation", "request", "fact", "...
r1IWuK2lf	[ "The paper presents a method for navigating in an unknown and partially observed environment is presented.", "The proposed approach splits planning into two levels: 1) local planning based on the observed space and 2) a global planner which receives the local plan, observation features, and access to an addressab...	[ "fact", "fact", "fact", "evaluation", "evaluation", "fact", "fact", "fact", "fact", "request", "fact", "fact", "fact", "fact", "evaluation", "fact", "request", "request", "evaluation", "fact", "request", "request", "request" ]
BkTXGMKlf	[ "This paper proposes a family of first-order stochastic optimization schemes", "based on (1) normalizing (batches of) stochastic gradient descents and (2) choosing from a step size updating scheme. ", "The authors argue that iterative first-order optimization algorithms can be interpreted as a choice of an upd...	[ "fact", "fact", "fact", "fact", "evaluation", "evaluation", "evaluation", "fact", "evaluation", "evaluation", "evaluation", "fact", "fact", "fact", "request", "evaluation", "fact", "request", "fact", "evaluation", "quote", "fact", "evaluation", "quote", "non-arg", "...
Bk6nbuf-M	[ "The authors use deep learning to learn a surrogate model for the motion vector in the advection-diffusion equation that they use to forecast sea surface temperature.", "In particular, they use a CNN encoder-decoder to learn a motion field, and a warping function from the last component to provide forecasting.", ...	[ "fact", "fact", "evaluation", "request", "evaluation", "evaluation", "fact", "fact", "evaluation", "fact", "reference", "request", "fact", "fact", "request", "request", "evaluation", "request", "non-arg" ]
H1g6bb9gG	[ "The approach solves an important problem ", "as getting labelled data is hard. ", "The focus is on the key aspect, which is generalisation across heteregeneous data. ", "The novel idea is the dataset embedding ", "so that their RL policy can be trained to work across diverse datasets.", "Pros: 1. The app...	[ "evaluation", "evaluation", "fact", "evaluation", "fact", "evaluation", "evaluation", "evaluation", "evaluation", "evaluation", "request", "fact", "evaluation", "evaluation", "request", "evaluation", "evaluation", "evaluation", "evaluation", "evaluation", "request" ]
rJMoToYlz	[ "The authors present a derivation of previous work of [1].", "In particular they propose the method of using the error signal of a dynamics model as curiosity for exploration, such as [1], but without any additionaly auxiliary methods.", "This the author call Curiosity by Bootstrapping Feature (CBF).\\n", "\\...	[ "fact", "fact", "fact", "fact", "evaluation", "evaluation", "fact", "fact", "request", "evaluation", "request", "evaluation", "reference" ]
BJ9DfkxWM	[ "The paper is clear and well written.", "It is an incremental modification of prior work (ResNeXt) that performs better on several experiments selected by the author; ", "comparisons are only included relative to ResNeXt.", "This paper is not about gating (c.f., gates in LSTMs, mixture of experts, etc) but ra...	[ "evaluation", "evaluation", "fact", "fact", "fact", "fact", "fact", "fact", "request", "evaluation", "request", "request", "reference" ]
BJiW7IkZM	[ "In this work, the objective is to analyze the robustness of a neural network to any sort of attack.", "This is measured by naturally linking the robustness of the network to the local Lipschitz properties of the network function. ", "This approach is quite standard in learning theory, ", "I am not aware of h...	[ "fact", "fact", "evaluation", "evaluation", "fact", "evaluation" ]
Hy7Gjh9eM	[ "The authors proposed to supplement adversarial training with an additional regularization that forces the embeddings of clean and adversarial inputs to be similar.", "The authors demonstrate on MNIST and CIFAR that the added regularization leads to more robustness to various kinds of attacks.", "The authors fu...	[ "fact", "fact", "fact", "evaluation", "evaluation", "evaluation", "fact", "request", "fact", "evaluation", "non-arg", "evaluation", "evaluation", "evaluation", "fact", "request" ]
ryjxrEwlM	[ "The authors propose a mechanism for learning task-specific region embeddings for use in text classification. ", "Specifically, this comprises a standard word embedding an accompanying local context embedding. ", "The key idea here is the introduction of a (h x c x v) tensor K, where h is the embedding dim (sam...	[ "fact", "fact", "fact", "fact", "evaluation", "fact", "fact", "evaluation", "fact", "evaluation", "evaluation", "fact", "evaluation", "fact", "evaluation", "evaluation", "fact", "request", "fact", "fact", "fact", "fact", "evaluation", "fact", "reference", "evaluatio...
H1Mbr8b4f	[ "General comment ============== Low-rank decomposing convolutional filters has been used to speedup convolutional networks at the cost of a drop in prediction performance.", "The authors a) extended existing decomposition techniques by an iterative method for decomposition and fine-tuning convolutional filter we...	[ "fact", "fact", "fact", "fact", "evaluation", "evaluation", "fact", "request", "fact", "request", "evaluation", "request", "request", "request", "request", "request", "request", "evaluation", "non-arg", "non-arg", "request", "request", "evaluation", "quote", "request"...
Hyx7bEPez	[ "In this paper, the authors studied the problem of semi-supervised few-shot classification, by extending the prototypical networks into the setting of semi-supervised learning with examples from distractor classes. ", "The studied problem is interesting, ", "and the paper is well-written. ", "Extensive exper...	[ "fact", "evaluation", "evaluation", "evaluation", "evaluation", "evaluation", "fact", "evaluation" ]
Byw1O6Fgz	[ "The paper is interesting, ", "but needs more work, ", "and should provide clear and fair comparisons. ", "Per se, the model is incrementally new, ", "but it is not clear what the strengths are, ", "and the presentations needs to be done more carefully.", "In detail: - please fix several typos throughou...	[ "evaluation", "request", "request", "evaluation", "evaluation", "request", "request", "request", "evaluation", "fact", "fact", "fact", "fact", "request", "request", "fact", "fact", "evaluation", "evaluation", "request", "non-arg", "fact", "fact", "fact", "fact", "fa...
HJ_m58weG	[ "This paper proposes to use neural network and gradient descent to automatically design for engineering tasks.", "It uses two networks, parameterization network and prediction network to model the mapping from design parameters to fitness.", "It uses back propagation (gradient descent) to improve the design.", ...	[ "fact", "fact", "fact", "fact", "evaluation", "request", "fact", "evaluation", "request", "request", "request", "evaluation", "fact", "evaluation", "quote", "evaluation", "evaluation", "quote", "evaluation", "fact", "evaluation", "evaluation", "evaluation", "fact", "f...
SkOj779lM	[ "This paper proposes the concept of optimal representation space and suggests that a model should be evaluated in its optimal representation space to get good performance.", "It could be a good idea if this paper could suggest some ways to find the optimal representation space in general, instead of just showing ...	[ "fact", "request", "evaluation", "fact", "fact", "fact", "fact", "evaluation", "fact", "evaluation", "fact", "evaluation", "quote" ]
rkCp66Tef	[ "The paper proposes a deep learning framework called DeePa that supports multiple dimensions of parallelism in computation to accelerate training of convolutional neural networks.", "Whereas the majority of work on parallel or distributed deep learning partitions training over bootstrap samples of training data (...	[ "fact", "fact", "fact", "fact", "fact", "fact", "evaluation", "evaluation", "request", "evaluation", "request" ]
Bk_UdcKxf	[ "Summary The paper proposes to use hyper-networks [Ha et al. 2016] for the tuning of hyper-parameters, along the lines of [Brock et al. 2017]. ", "The core idea is to have a side neural network sufficiently expressive to learn the (large-scale, matrix-valued) mapping from a given configuration of hyper-paramete...	[ "fact", "fact", "fact", "fact", "fact", "evaluation", "evaluation", "evaluation", "fact", "evaluation", "evaluation", "evaluation", "quote", "evaluation", "fact", "request", "quote", "evaluation", "evaluation", "request", "evaluation", "evaluation", "fact", "fact", "e...
r1cczyqef	[ "The authors propose a new network architecture for RL that contains some relevant inductive biases about planning.", "This fits into the recent line of work on implicit planning where forms of models are learned to be useful for a prediction/planning task.", "The proposed architecture performs something analog...	[ "fact", "evaluation", "evaluation", "fact", "fact", "evaluation", "evaluation", "evaluation", "evaluation", "fact", "evaluation", "evaluation", "fact", "request", "request", "evaluation", "request", "evaluation", "evaluation", "request", "request", "evaluation" ]
B1_TQ-clG	[ "This paper studies learning to play two-player general-sum games with state (Markov games).", "The idea is to learn to cooperate (think prisoner's dilemma) but in more complex domains.", "Generally, in repeated prisoner's dilemma, one can punish one's opponent for noncooperation.", "In this paper, they desig...	[ "fact", "fact", "fact", "fact", "evaluation", "evaluation", "evaluation", "fact", "evaluation", "evaluation", "fact", "fact", "evaluation", "evaluation", "evaluation", "evaluation", "fact", "request", "non-arg", "fact", "reference", "quote", "quote", "quote", "quote",...
BJBWMqqlf	[ "This paper proposes a new theoretically-motivated method for combining reinforcement learning and imitation learning for acquiring policies that are as good as or superior to the expert. ", "The method assumes access to an expert value function (which could be trained using expert roll-outs) and uses the value f...	[ "fact", "fact", "evaluation", "fact", "evaluation", "evaluation", "evaluation", "evaluation", "request", "evaluation", "fact", "request", "evaluation", "evaluation", "request", "fact", "fact", "request", "fact", "fact", "non-arg", "reference", "fact" ]
B1A7YkceM	[ "The authors propose a procedure to generate an ensemble of sparse structured models. ", "To do this, the authors propose to (1) sample models using SG-MCMC with group sparse prior, (2) prune hidden units with small weights, (3) and retrain weights by optimizing each pruned model. ", "The ensemble is applied to...	[ "fact", "fact", "fact", "evaluation", "evaluation", "evaluation", "evaluation", "fact", "evaluation", "evaluation", "evaluation", "request", "request", "reference" ]
B1P-gBclf	[ "The quality of the paper is good, and clarity is mostly good. ", "The proposed metric is interesting, ", "but it is hard to judge the significance without more thorough experiments demonstrating that it works in practice.", "Pros:- clear definitions of terms", " - overall outline of paper is good", " - n...	[ "evaluation", "evaluation", "evaluation", "evaluation", "evaluation", "evaluation", "evaluation", "request", "evaluation", "evaluation", "evaluation", "request", "evaluation", "non-arg", "evaluation", "fact", "request", "request", "non-arg", "evaluation", "evaluation", "req...
rkCi3T3lG	[ "Summary: The paper proposes a new dataset for reading comprehension, called DuoRC. ", "The questions and answers in the DuoRC dataset are created from different versions of a movie plot narrating the same underlying story. ", "The DuoRC dataset offers the following challenges compared to the existing reading c...	[ "fact", "fact", "fact", "fact", "fact", "fact", "fact", "fact", "fact", "fact", "fact", "fact", "fact", "evaluation", "evaluation", "evaluation", "evaluation", "request", "fact", "fact", "request", "evaluation", "evaluation", "fact", "fact", "non-arg", "fact", "...
S1GVQk5gG	[ "This paper is about rethinking how to use encoder-decoder architectures for representation learning when the training objective contains a similarity between the decoder output and the encoding of something else.", "For example, for the skip-thought RNN encoder-decoder that encodes a sentence and decodes neighbo...	[ "fact", "fact", "fact", "fact", "fact", "fact", "fact", "fact", "fact", "fact", "evaluation", "evaluation", "evaluation", "fact", "evaluation", "evaluation", "evaluation", "fact", "fact", "fact", "fact", "non-arg", "request", "evaluation", "evaluation", "request", ...
BJggQbceG	[ "Summary: This paper proposes an adversarial learning framework for machine comprehension task. ", "Specifically, authors consider a reader network which learns to answer the question by reading the passage and a narrator network which learns to obfuscate the passage so that the reader can fail in its task. ", ...	[ "fact", "fact", "fact", "fact", "fact", "evaluation", "fact", "evaluation", "request", "request", "evaluation", "fact", "request", "fact", "fact", "request", "request", "evaluation", "request", "evaluation", "request", "fact", "request", "request", "request", "reque...
HJv0cb5xG	[ "This work addresses an important and outstanding problem: accurate long-term forecasting using deep recurrent networks.", "The technical approach seems well motivated, plausible, and potentially a good contribution,", "but the experimental work has numerous weaknesses which limit the significance of the work i...	[ "fact", "evaluation", "evaluation", "fact", "request", "evaluation", "evaluation", "fact", "fact", "evaluation", "request", "fact", "evaluation", "fact", "evaluation", "evaluation", "evaluation", "evaluation", "request" ]
HkZ8Gb9eG	[ "This paper is well constructed and written.", "It consists of a number of broad ideas regarding density estimation using transformations of autoregressive networks.", "Specifically, the authors examine models involving linear maps from past states (LAM) and recurrence relationships (RAM).", "The critical ins...	[ "evaluation", "fact", "fact", "fact", "fact", "fact", "fact", "fact", "fact", "evaluation", "evaluation" ]
SyZQxkmxG	[ "CONTRIBUTION The main contribution of the paper is not clearly stated. ", "To the reviewer, It seems “life-long learning” is the same as “online learning”. ", "However, the whole paper does not define what “life-long learning” is.", "The limited budget scheme is well established in the literature. ", "1....	[ "evaluation", "evaluation", "fact", "fact", "reference", "reference", "evaluation", "evaluation", "evaluation", "evaluation", "fact", "fact", "evaluation", "fact", "fact", "evaluation", "evaluation", "request", "request", "request", "evaluation", "evaluation", "fact", "...
Hy4_ANE-f	[ "This paper studies new off-policy policy optimization algorithm using relative entropy objective and use EM algorithm to solve it. ", "The general idea is not new, aka, formulating the MDP problem as a probabilistic inference problem. ", "There are some technical questions: 1. For parametric EM case, there is ...	[ "fact", "fact", "fact", "fact", "evaluation", "fact", "fact", "fact", "request", "fact", "evaluation", "request", "request", "fact", "evaluation", "fact", "evaluation", "evaluation", "evaluation" ]
HyjN-YPlz	[ "The manuscript proposes two objective functions based on the manifold assumption as defense mechanisms against adversarial examples. ", "The two objective functions are based on assigning low confidence values to points that are near or off the underlying (learned) data manifold while assigning high confidence v...	[ "fact", "fact", "fact", "fact", "evaluation", "evaluation", "evaluation", "request" ]
SJ2P_-YgG	[ "The main idea of this paper is to replace the feedforward summation", "y = f(W*x + b) where x,y,b are vectors, W is a matrix by an integral \\y = f(\\int W \\x + \\b) where \\x,\\y,\\b are functions, and W is a kernel. ", "A deep neural network with this integral feedforward is called a deep function machine. ...	[ "evaluation", "fact", "fact", "fact", "evaluation", "fact", "fact", "fact", "evaluation", "fact", "evaluation", "request", "evaluation", "evaluation" ]
rJ6Z7prxf	[ "This paper introdues NoisyNets, that are neural networks whose parameters are perturbed by a parametric noise function, and they apply them to 3 state-of-the-art deep reinforcement learning algorithms: DQN, Dueling networks and A3C.", "They obtain a substantial performance improvement over the baseline algorithm...	[ "fact", "evaluation", "evaluation", "evaluation", "evaluation", "evaluation", "non-arg", "evaluation", "request", "fact", "fact", "quote", "fact", "fact", "request", "quote", "fact", "fact", "fact", "request", "fact", "evaluation", "evaluation", "request", "request", ...
Bkp-xJ5xf	[ "This paper presents a so-called cross-view training for semi-supervised deep models.", "Experiments were conducted on various data sets", "and experimental results were reported.", "Pros:* Studying semi-supervised learning techniques for deep models is of practical significance.", "Cons:* The novelty of th...	[ "fact", "fact", "fact", "evaluation", "evaluation", "fact", "fact", "evaluation", "fact", "evaluation", "evaluation", "evaluation", "fact", "evaluation", "evaluation", "fact", "evaluation" ]
H1q18tjxM	[ "This paper presents a nearest-neighbor based continuous control policy.", "Two algorithms are presented: NN-1 runs open-loop trajectories from the beginning state,", "and NN-2 runs a state-condition policy that retrieves nearest state-action tuples for each state.", "The overall algorithm is very simple to i...	[ "fact", "fact", "fact", "evaluation", "evaluation", "evaluation", "fact", "non-arg", "reference", "evaluation", "evaluation", "request", "evaluation", "request" ]
BkYwge9ef	[ "There could be an interesting idea here, ", "but the limitations and applicability of the proposed approach are not clear yet. ", "More analysis should be done to clarify its potential. ", "Besides, the paper seriously needs to be reworked. ", "The text in general, but also the notation, should be improved...	[ "evaluation", "evaluation", "request", "request", "request", "request", "request", "fact", "fact", "fact", "fact", "fact", "non-arg", "evaluation", "request", "request", "fact", "evaluation", "non-arg", "non-arg", "evaluation", "evaluation", "request", "request", "req...
HJfRKPFeM	[ "SUMMARY. The paper presents an extension of word2vec for structured features.", "The authors introduced a new compatibility function between features and, as in the skipgram approach, they propose a variation of negative sampling to deal with structured features.", "The learned representation of features is te...	[ "fact", "fact", "fact", "evaluation", "evaluation", "evaluation", "request", "evaluation", "request", "quote", "request", "evaluation", "fact", "request", "request", "request", "request", "request", "request", "evaluation", "fact", "evaluation", "evaluation", "request" ...
HJzYCPDlf	[ "Twin Networks: Using the Future as a Regularizer", " PAPER SUMMARY The authors propose to regularize RNN for sequence prediction by forcing states of the main forward RNN to match the state of a secondary backward RNN.", "Both RNNs are trained jointly and only the forward model is used at test time.", "...	[ "non-arg", "fact", "fact", "fact", "evaluation", "evaluation", "fact", "evaluation", "evaluation", "request", "fact", "reference", "request", "request", "evaluation", "fact", "request", "request", "request", "request", "request", "evaluation", "request", "request", "r...
ry9RWezWM	[ "The authors purpose a method for creating mini batches for a student network by using a second learned representation space to dynamically selecting examples by their 'easiness and true diverseness'. ", "The framework is detailed ", "and results on MNIST, cifar10 and fashion-MNIST are presented. ", "The wor...	[ "fact", "evaluation", "fact", "evaluation", "fact", "fact", "evaluation", "fact", "fact", "evaluation", "evaluation" ]
HyvZDmueM	[ "This paper proposed a new optimization framework for semi-supervised learning based on derived inversion scheme for deep neural networks. ", "The numerical experiments show a significant improvement in accuracy of the approach." ]	[ "fact", "evaluation" ]
ByvABDcxz	[ "The authors present an algorithm for training ensembles of policy networks that regularly mixes different policies in the ensemble together by distilling a mixture of two policies into a single policy network, adding it to the ensemble and selecting the strongest networks to remain (under certain definitions of a ...	[ "fact", "fact", "request", "evaluation", "evaluation", "evaluation", "evaluation", "fact", "evaluation", "fact", "fact" ]
BkSq8vBxG	[ "The authors report a number of experiments using off-the-shelf sentence embedding methods for performing extractive summarisation, using a number of simple methods for choosing the extracted sentences. ", "Unfortunately the contribution is too minor, and the work too incremental, to be worthy of a place at a top...	[ "fact", "evaluation", "evaluation", "evaluation", "evaluation", "evaluation", "evaluation", "fact", "evaluation", "evaluation", "fact", "evaluation" ]
HkN9lyRxG	[ "This paper proposes to bring together multiple inductive biases that hope to correct for inconsistencies in sequence decoding. ", "Building on previous works that utilize modified objectives to generate sequences, this work proposes to optimize for the parameters of a pre-defined combination of various sub-objec...	[ "fact", "fact", "evaluation", "fact", "evaluation", "request", "request", "request" ]
Sye2eNDxM	[ "This paper aims to learn hierarchical policies by using a recursive policy structure regulated by a stochastic temporal grammar.", "The experiments show that the method is better than a flat policy for learning a simple set of block-related skills in minecraft (find, get, put, stack) ", "and generalizes better...	[ "fact", "fact", "fact", "evaluation", "fact", "evaluation", "non-arg", "evaluation", "evaluation", "fact", "fact", "evaluation", "evaluation", "request", "fact", "evaluation", "request", "evaluation", "request", "request", "fact", "fact", "request", "evaluation", "fac...
rk-GXLRgz	[ "This paper suggests a simple yet effective approach for learning with weak supervision. ", "This learning scenario involves two datasets, one with clean data (i.e., labeled by the true function) and one with noisy data, collected using a weak source of supervision. ", "The suggested approach assumes a teacher...	[ "evaluation", "fact", "fact", "fact", "fact", "fact", "evaluation", "evaluation", "fact", "request", "request", "request", "request", "request", "fact", "request", "request", "request" ]
Sy4HaTtlz	[ "Quality: The work focuses on a novel problem of generating text sample using GAN and a novel in-filling mechanism of words. ", "Using GAN to generate samples in adversarial setup in texts has been limited due to the mode collapse and training instability issues. ", "As a remedy to these problems an in-filling-...	[ "fact", "fact", "fact", "evaluation", "evaluation", "request", "evaluation", "fact", "request", "evaluation", "evaluation", "evaluation", "fact", "evaluation", "evaluation", "evaluation", "request", "fact", "request" ]
H1_YBgxZz	[ "This paper presents a method for clustering based on latent representations learned from the classification of transformed data after pseudo-labellisation corresponding to applied transformation.", "Pipeline: -Data are augmented with domain-specific transformations.", "For instance, in the case of MNIST, rotat...	[ "fact", "fact", "fact", "fact", "fact", "fact", "fact", "fact", "evaluation", "evaluation", "evaluation", "evaluation", "fact", "request", "evaluation", "fact", "evaluation" ]
ByR8Gr5gf	[ "The paper proposed a copula-based modification to an existing deep variational information bottleneck model, such that the marginals of the variables of interest (x, y) are decoupled from the DVIB latent variable model, allowing the latent space to be more compact when compared to the non-modified version. ", "T...	[ "fact", "fact", "non-arg", "evaluation", "evaluation", "request", "evaluation", "evaluation", "evaluation", "non-arg", "non-arg", "fact", "evaluation", "evaluation" ]
BkC-HgcxG	[ "In this paper, the authors present an analysis of SGD within an SDE framework. ", "The ideas and the presented results are interesting and are clearly of interest to the deep learning community. ", "The paper is well-written overall.", "However, the paper has important problems. ", "1) The analysis is wide...	[ "fact", "evaluation", "evaluation", "evaluation", "evaluation", "evaluation", "evaluation", "fact", "fact", "fact", "fact", "fact", "evaluation", "evaluation", "evaluation", "fact", "fact", "evaluation", "evaluation", "fact", "evaluation", "fact", "evaluation", "fact", ...

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Dataset Card for AMPERE

Dataset Description

This dataset is released together with our NAACL 2019 Paper "Argument Mining for Understanding Peer Reviews". If you find our work useful, please cite:

@inproceedings{hua-etal-2019-argument,
    title = "Argument Mining for Understanding Peer Reviews",
    author = "Hua, Xinyu  and
      Nikolov, Mitko  and
      Badugu, Nikhil  and
      Wang, Lu",
    booktitle = "Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)",
    month = jun,
    year = "2019",
    address = "Minneapolis, Minnesota",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/N19-1219",
    doi = "10.18653/v1/N19-1219",
    pages = "2131--2137",
}

This dataset includes 400 scientific peer reviews collected from ICLR 2018 hosted at the Openreview platform. Each review is segmented into multiple propositions. We include the original untokenized text for each proposition. Each proposition is labeled as one of the following types:

evaluation: a proposition that is not objectively verifiable and does not require any action to be performed, such as qualitative judgement and interpretation of the paper, e.g. "The paper shows nice results on a number of small tasks."
request: a proposition that is not objectively verifiable and suggests a course of action to be taken, such as recommendation and suggestion for new experiments, e.g. "I would really like to see how the method performs without this hack."
fact: a proposition that is verifiable with objective evidence, such as mathematical conclusion and common knowledge of the field, e.g. "This work proposes a dynamic weight update scheme."
quote: a quote from the paper or another source, e.g. "The author wrote 'where r is lower bound of feature norm'."
reference: a proposition that refers to an objective evidence, such as URL link and citation, e.g. "see MuseGAN (Dong et al), MidiNet (Yang et al), etc."
non-arg: a non-argumentative discourse unit that does not contribute to the overall agenda of the review, such as greetings, metadata, and clarification questions, e.g. "Aha, now I understand."

Dataset Structure

The dataset is partitioned into train/val/test sets. Each set is uploaded as a jsonl format. Each line contains the following elements:

doc_id (str): a unique id for review document
text (list[str]): a list of segmented propositions
labels (list[str]): a list of labels corresponding to the propositions

An example looks as follows.

{
    "doc_id": "H1WORsdlG",
    "text": [
      "This paper addresses the important problem of understanding mathematically how GANs work.",
      "The approach taken here is to look at GAN through the lense of the scattering transform.",
      "Unfortunately the manuscrit submitted is very poorly written.",
      "Introduction and flow of thoughts is really hard to follow.",
      "In method sections, the text jumps from one concept to the next without proper definitions.",
      "Sorry I stopped reading on page 3.",
      "I suggest to rewrite this work before sending it to review.",
      "Among many things: - For citations use citep and not citet to have () at the right places.",
      "- Why does it seems -> Why does it seem etc.",
    ],
    "labels": [
      'fact',
      'fact',
      'evaluation',
      'evaluation',
      'evaluation',
      'evaluation',
      'request',
      'request',
      'request',
    ]
}

Dataset Creation

For human annotators, they will be asked to first read the above definitions and controversial cases carefully. The dataset to be annotated consists of 400 reviews partitioned in 20 batches. Each annotator will follow the following steps for annotation:

Step 1: Open a review file with a text editor. The unannotated review file contains only one line, please separate it into multiple lines with each line corresponding to one single proposition. Repeat the above actions on all 400 reviews.
Step 2: Based on the segmented units, label the type for each proposition. Start labeling at the end of each file with the marker "## Labels:". Indicate the line number of the proposition first, then annotate the type, e.g. "1. evaluation" for the first proposition. Repeat the above actions on all 400 reviews.

A third annotator then resolves the disagreements between the two annotators on both segmentation and proposition type.

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Size of downloaded dataset files:

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Size of the auto-converted Parquet files:

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Number of rows:

400