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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the authors proposed continuous stable coloring csc as a new framework to unify the understanding of several existing unsupervised learning algorithms including word2vec bert and node2vec the ... | the paper proposes a new framework to express and analyze embedding methods based on the stable coloring problem reviewers highlighted as strengths that the paper provides an interesting perspective for understanding one of the central approaches in nlp graph learning and other fields and as such could inspire promisi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies the problem of certifying a policy learned via an offline rl algorithm is robust to poisoning attacks the authors propose two certification criteria perstate action stability and lower bo... | the authors develop a novel framework for certifying the robustness of rl agents against data poisoning attacks they obtain lower bounds on the cumulative reward for several benchmark tasks reviewers had concerns about certain organizational and technical aspects of the paper but these were addressed well in the discu... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the question of learning the koopman operator of a markov chain from samples is studied it is proposed to introduce an appropriate rkhs mathcalh and to restrict the domain of the operator t... | this paper provides a connection between the koopman operator theory and statistical learning theory enabling one to approximate the koopman operator from empirical data using the hilbertschmidt operator on a reproducing kernel hilbert space rkhs the expert reviewers agree that this paper contains substantial contribut... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work considers the effect of sparsification quantization and nonlinear transormations on the spectrum of a random matrix with respect to performance in downstream applications like clustering eigen dec... | the paper presents a nice analysis of the spectrum of a matrix that is obtained by applying nonlinear functions to a random matrix the paper is mostly wellwritten the result is novel and interesting and has clear implications for ml problems like spectral clustering so i would enthusiastically recommend the paper for ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents a new research topic interspecies face embedding which aims to extract common features from faces of several species including humans as a dense embedding the process enables the discover... | this paper uses knowledge distillation to transfer learn facial embeddings across humans and animals helps when sufficient data for learning embeddings from animal faces is not available an interesting application of standard concepts from domain adaptation knowledge distillation etc while preparing the final paper the... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents an interesting new graph neural network technique customized for the specific setting of signed graphs this is a paper i have reviewed before there has been an increasing interest in th... | the paper addresses an interesting problem of clusteringlink predictionrepresentation learning of signed graphs where edge weights are allowed to take either positive or negative values the paper proposed an end to end pipeline targeted at link sign prediction and the feature diffusion step the reviewers think the prop... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies the problem of answering firstorder questions more on the terminology later that correspond to a single fact in a knowledge graph kg and focuses on the crossdomain setting where no curate... | this paper studies the problem of simple question answering over new unseen domains during test time a domain adaption framework and a seq2seq question generation method have been proposed to tackle this problem and demonstrates significant improvements over the previous baselines all the reviewers agreed that this pa... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper proposes graphstructured reinforcement learning gsrl which consists of two key components 1 goal generation to choose what goals a goalconditioned agent should follow during an explorati... | this work presents an algorithm graphstructured reinforcement learning gsrl to address the problem of exploration in sparse reward settings the core elements of this work are 1 to build a statetransition graph from experienced trajectories in the replay buffer 2 learn an attention module that chooses a goal from a sub... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this work proposes the approach of integrating priors into a dnn in the form of linguistic submodels that capture characteristics of og the authors use the example of the pan12 dataset for sexual p... | most reviewers did not feel that this paper was ready for publication i thank the authors for answering all the concerns of the reviewers running new experiments and submitting a revised version however this was not not enough to alleviate the reviewers concerns notably relating to the handling of the ethical considera... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper does not really propose a new way of compressing the model weights but rather a way of applying existing weight compression techniques specifically the proposed solution is to repeatedly apply wei... | the authors propose a framework for compressing neural network models which involves applying a weight distortion function periodically as part of training the proposed approach is relatively simple to implement and is shown to work for weight pruning lowrank compression and quantization without sacrificing accuracy h... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper argues that adversarial robustness might be at odds with robustness with natural distribution shifts to that end the authors first illustrate this intuition on a synthetic setting consisting of a... | all reviewers recommend accepting the paper so i will follow their suggestion congratulations however i should add that i do not find the arguments in the paper fully convincing earlier work has shown that adversarially trained models behave like standard imagenet models ie models trained without a robustnessenhancin... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this article presents an interesting if heuristic approach to source separation nes buttressed by the use of glo masking for initialization with promising results on data generated from synthetic source mix... | this paper presents a novel technique for separating signals in a given mixture a common problem encountered in audio and vision tasks the algorithm assumes that training samples from only one of the sources and the mixture distributions are available which is a realistic assumption in a lot of cases it then iterativel... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper simulates simple rnns performing two classic decisionneuroscience experiments a free choice evidence accumulation task and a delayed decision evidence accumulation task the paper examines learnin... | in recent years artificially trained rnns have been used for studying systems and behavioral neuroscience in terms of their learned representations dynamics computation and the learning process itself this paper contributes to further identify learning principles that may be revealed by curricula the proposed approach ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies the problem of feature mapping for reproducing kernels the focus is when the data size is too large the svd for the kernel gram matrix would be prohibitively difficult this paper proposes... | this paper studies the problem of kernel similarity matching using hebbian neural networks specifically the authors propose to compute the approximate feature map for the kernel using the least square loss function legendre transformation and hebbian parameter update rules reviewers generally agree that the proposed m... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the authors propose a new model called chemcpa to study the perturbational effects of unseen drugs by incorporating knowledge about the drugs molecular structure they introduce new encoderde... | all four reviewers liked aspects of the paper with one still on the fence all reviewers appreciated the authors feedback to the their comments both in the discussion and the extensive updates of the paper accept is recommended |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes to evaluate some standard nas algorithms over various tasks ranging from image classification sattllite image time series analysis or ecg detecting hard diseases this paper proposes a... | this paper at first used the name nasbench360 for the benchmark which confused several reviewers who expected a tabular benchmark behind this name the authors renamed the benchmark which removed this issue emphasizing that the contribution does not lie in proposed a new tabular nas benchmark but a new performance evalu... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper is on an experience replay approach as applied to deep rl methods that uses a density ratio between onpolicy and offpolicy experiences as the prioritization weights the objective is to find appro... | this paper proposed a new experience replay approach applicable to deep rl methods two reviewers suggested acceptance and two did rejection the first negative reviewer r1 raised a concern on continuous vs discrete issue but ac thinks that the authors response is not fully convincing enough the second negative reviewer... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper proposes a technique for quantizing the weights and activations of a cnn the main contribution is in replacing the heuristic to find good quantization intervals of zhu et al 2016 with a d... | the submission proposes a hierarchical clustering approach nestedmeans clustering to determine good quantization intervals for nonuniform quantization an empirical validation shows improvement over a very closely related approach zhu et al 2016 there was an overall consensus that the literature review was insufficien... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a pooling method for cnns using a lifting scheme the proposed liftpool consists of liftdownpool and liftuppool the liftdownpool decomposes a feature map into four subbands lllhhlhh the l... | the paper presents a bidirectional pooling layer inspired by the classical lifting scheme from signal processing liftdownpool is able to preserve structure and details in different subbands whereas liftuppool is able to generate a refined up sampled feature map using the detail subbands this is very useful for image to... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents an approach to learn worstcase safe parameters for neurosymbolic programs programs with neural networks symbolic portions the key contribution is an algorithm to compute gradients for t... | the proposed method differentiable symbolic execution dse addresses the safety of learned navigation and control programs the approach samples code paths using a softened probabilistic version of symbolic execution constructing gradients of a safety loss along these paths and then backpropagating these gradients throu... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper provides an interesting way to add structure to marl problems that have delay in the communication of state information by explicitly building a predictive module for the future latent... | this paper proposes a technique of communicating predicted local states between agents in multiagent reinforcement learning to deal with the delay in communication while the paper addresses an important practical problem the reviewers have concerns about the insufficiency of novelty and experimental validation |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper considers a text style transfer task where no paired sentences are available for example we have positive clothing reviews and negative cell phone reviews the paper tries to generate negative clo... | this paper studies text style transfer which aims to edit a given sentence to possess a desired style value eg positive sentiment while keeping all other styles and content unchanged the paper specifically focuses on a challenging setting where besides the target style eg sentiment to transfer there exists confounding ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the authors collect and present a new ordinal classification dataset for benchmarking mammographic masking of cancer the dataset named csawm is collected from 10020 patients from sweden and is... | the authors introduce a dataset mammographic dataset for benchmarking models in the domain of breast cancer the reviewers noted the extensive scope of the dataset as well as its significance and there is a consensus on acceptance |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a way to induce lowrank representations in a deep neural network and study its effect on adversarial attacks quality the analyses are conducted on several types of problems first class... | dear authors the reviewers all appreciated the interest of studying properties of the latent representations rather than of the weights the impact of the rank on the robustness to adversarial attacks is also of interest there were however two main issues raised due to the lack of confidence of some reviewers i review... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents an adaptive kernel approach for learning causal effects from multiple sources random fourier features further extend the kernel to a federated setting strength this paper on federated c... | all reviewers found the problem setting which spans federated learning and causal estimation important and well motivated and felt the paper made a solid technical contribution in this space the reviewers raised questions about topics such as identifiability the nature of the privacy guarantees and some technical detai... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
update thanks for the response i agree with the other reviewers that the updates have improved the paper this paper presents a way of estimating the informativeness of a single training data point wrt a ne... | this paper proposes methods to estimate how informative a single training data is wrt the weights and output of the neural network all reviewers think this is an interesting problem and the proposed method is easy to implement on the other hand the reviewers also raise a few questions 1 there is a large body of work a... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper is addressing the problem of a specific multitask learning setup such that there are two tasks namely main task and auxiliary task auxiliary task is used for the sole purpose of helping the main o... | this paper tackles the problem of using auxiliary losses to help regularize and aid the learning of a goal task the approach proposes avoiding the learning of irrelevant or contradictory details from the auxiliary task at the expense of the goal tasks by observing cosine similarity between the auxiliary and main tasks ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
given several mutlilabel machine learning apis this paper study how to select those apis under a budget constrant while striving to improve the overall accuracy the author first formulate the budget api sel... | the authors study a practical problem of selectingcombining existing multilabel classification apis under a budget constraint for a specific problem instance on hand the task can be viewed as an online integer programming problem when given an accuracy estimator for the combination performance the authors relax the int... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper focuses on the online attack problem where two elements are emphasized that attackers must operate under partial knowledge of the target model and the decisions made by the attacker are irrevocab... | this paper opens the area of adversarialattack research on streaming data eg realworld settings such as selfdriving cars and robotic visual tasks for a robot for instance online adversaries can focus their attack on a small subset of the streamedonline data but still cause much damage to downstream models this work hig... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a method that learns disentangled skill representations and shows qualitative quantitative results on mujoco ant navigation 1 they first synthetically generate a trajectory dataset by th... | the authors present a method for learning disentangled skill representation that uses weak supervision the reviewers mentioned that the paper tackles an important problem delivers interesting and novel visualizations of the learned skills and positions the paper well in the context of related work the reviewers also po... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a near realworld offline rl benchmark named neorl the neorl dataset is collected on different realworld tasks with a more conservative strategy compared with the previous offline rl benc... | the paper introduces new datasets and benchmarks for offline settings in rl the papers contributions are notable for 1 using and highlighting the importance of learning from narrow data distributions 2 treating policy evaluation and validation as a key challenge rather than an afterthought and 3 providing extensive res... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper is trying to analyze whether unsupervised skill discovery is useful for more easily solving any possible downstream tasks in an mdp it does so by adapting the idea of the value function polytope ... | strong submission that analyses the unsupervised skill discovery setting from the perspective of information geometry which leads to some interesting conclusions in particular it is shown that this does not lead to skills that are optimal for all reward functions but does provide a good initialization for methods that ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
paper summary this paper proposes a method for measuring stereotypical associations about occupations that are associated with genders using the natural language inference task the method involves setting u... | this paper offers a new dataset and accompanying metric to measure the degree to which nli textual entailment systems are aware of genderoccupation associations pros the paper deals with an important issue in the context of a visible set of models and datasets cons the metric is designed to evaluate bias on models ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper postulates a scaling law for pretraining and transfer learning via finetuning they empirically postulate a law and also theoretically show that in a simpler setting with assumptions a similar law... | this paper discusses an empirical scaling law in terms of samples needed for pretraining for effective downstream transfer the reviewers liked the premise but had major concerns with the evaluation and some clarifications about empirical choices made the paper initially received reviews tending towards rejection the au... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work proposed three different calibration methods tempraturebased marginbased and anglebased temperature scaling to enlarge the margin between targeted logit and nontarget logits to improve transferabi... | in this paper the authors propose novel method to improve transferability of targeted adversarial attacks by enlarging the margin between targeted logit and nontarget logits experiments on imagenet with different methods demonstrated the effectiveness of the method however as is pointed out by the reviewers that there... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a number of principled algorithmic modifications to stateoftheart planning algorithms alphazero muzero for improving performance in settings with many actions and a relatively small compu... | the paper presents improvements to alphazero and muzero for settings where one is restricted in the number of rollouts the initial response from reviewers was generally favorable but the reviewers wanted more details and clarifications of multiple parts of the paper and further intuition about the gumbel distribution ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
while large pretrained nlp models have achieved great performance on a variety of downstream tasks the largest of these models still make errors this paper deals with the problem of enabling both developers... | the paper provides a method to edit trained models meaning fix mistakes in a local way so as to not ruin generalizability the techniques provided in the paper allow for an efficient way that makes this task possible for very large models there is an overall concensus that the problem of model editing in general is an i... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors make an extensive evaluation of most of the factors affecting the performance of the deep learning based segmentation it could be a reference for others when designing image processing experimen... | as pointed out by reviewers this paper addresses the need for automatic image analysis in an important area of medical research although the novelty of the paper is limited it contains extensive benchmarking experiments that could be a reference for others |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
learning interface conditions in domain decomposition solvers in this work the authors use machine learning tools to enhance the domain decomposition solvers it uses a graph convolutional network to learn ... | the paper proposes a scheme to learn preconditioners for domain decomposition solvers graph neural network is used to learn interface matrices and the training dataset consist of many unstructured grids for which optimal parameters are learning the loss function is adapted from daulbaev etand is based on the gelfand f... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors present some theoretical results on the loss surface of neural networks their main results are 1 they consider a 1 layer hidden neural network where the single nonlinearity is relu relulike he... | this is an interesting paper that develops new techniques for analyzing the loss surface of deep networks allowing the existence of spurious local minima to be established under fairly general conditions the reviewers responded with uniformly positive opinions |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
paper summary this paper proposes a method to adapt a pretrained model to a target domain without the need to access samples from the source domain on which the model was originally trained the idea is to... | the paper is proposing a test time adaptation method without modifying the training the proposed idea is simple and effective adapting the normalization layers using the entropy of the model predictions as a loss function the paper presents an extensive empirical study paper received unanimously accept scores it also h... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper improves the previous results on the intrinsic robustness ie an upper bound on the adversarial robustness over a set of classifiers based on concentration of data distribution by incorporating the... | the paper was praised for being clearly written wellmotivated and for addressing an important problem measuring intrinsic robustness it improves the previous results on intrinsic robustness based on concentration of data distribution by incorporating the constraint on the label uncertainty of the models this requires i... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors proposed an interesting method for parameterefficient transfer learning and multitask learning the authors show that in transfer learning finetuning the last layer plus bn layers significantly i... | reviewers largely agree that the proposed method for finetuning the deep neural networks is interesting and empirical results clearly show the benefits over finetuning only the last layer i recommend acceptance |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper is well written and has a clear structure the mathematical description is very clear the topic of robust affine registration to initialize nonlinear registration algorithms is important for medica... | this paper presents an interesting idea with the novelty of incorporating lstm into the iterative process of affine registration optimization several specific questions were raised by the reviewers especially related to the motivation of using a recurrent model and details on the method and experiments the authors rebu... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper tested a very simple idea when we do large batch training instead of sampling more training data for each minibatch we use data augmentation techniques to generate training data from a small mini... | the authors propose to use large batch training of neural networks where each batch contains multiple augmentations of each sample the experiments demonstrate that this leads to better performance compared to training with small batches however as noted by reviewers 2 and 3 the experiments do not convincingly show wher... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors tackle the problem of unsupervised domain adaptation uda where most stateoftheart methods aim to learn a joint embedding space for samples from the labeled source domain and unlabeled samples fr... | this is a borderline paper while reviewers believe the findings from this paper may be of potential interest they are fully convinced for instance if the authors want to claim the proposed mechanism is general for uda then they should demonstrate its effectiveness to other application domains such as the nlp domain whe... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a spanning tree based generative model stgg for molecular graphs stgg sequentially generate a molecules spanning tree and fill in the residual edges on the way the spanning tree construc... | this paper proposes a spanning treebased graph generation framework for molecular graph generation which is an interesting problem the treebased approach is efficient and relatively effective in molecular graph generation tasks and the empirical results are convincing there were some concerns during the initial reviews... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper shows that gradient descent with early stopping in the context of generalized linear models has an optimal sample and iteration complexity i am not an expert in the specific field of this paper s... | this work is concerned with an analysis of earlystopped gradient descent in a stochastic setting and shows improved complexity by relying on an assumption of a distributiondependent ball for the parameter the reviewers all think that this is an interesting submission that should be accepted and i agree with them |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper introduces a novel algorithm for decentralized optimization when nodes can only communicate a compressed signal with their neighbors unlike most decentralized methods with compression that are i... | the paper introduces lead a decentralized optimizer with communication compression that can achieve linear convergence rate in the strongly convex setting in terms of novelty the authors should still add a discussion of magnusson et al 2019 on maintaining linear convergence of distributed learning and optimization unde... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper introdcues nasbench360 which evaluates different architectures and nas methods on in total 10 different tasks this evaluation shows that different nas methods which perform very well on computer ... | nasbench360 enables the evaluation of nas methods across a diverse set of tasks and domains and the authors experiments demonstrate that nas methods are not generally robust across all domaintasks the authors also make a strong argument that a nas benchmark should be a combination of a search space and a search algor... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a method to train a deep network to perform dynamic data association and static online clustering the proposed architecture relies on a recurrent structure while also adding knowledge abo... | this paper was on the borderline while there was some support for the ideas presented concerns were raised about the experiments the exposition would also need to better demonstrate the significance of the contribution |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studied the problem of lipschitz bandit learning with batched feedback where the expected reward is lipschitz and the reward observations are communicated to the player in batches the authors int... | this is an interesting work that initiates the study of lipschitz bandits in the case of batched feedback that it is possible to obtain nearly optimal regret with such little adaptation only log log t batches as the authors do is an interesting result moreover the regret lower bound based on the number of batches shows... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summarycontributions the primary aim of this paper is to improve the sample efficiency of gail ho et al 2016 the claimed contributions can be summarized by consisting of 1 replacing trpo which was used in ... | the paper proposes a simple method for improving the sample efficiency of gail essentially a way of turning inverse reinforcement learning into classification as reviewers noted the method is based on a simple idea with potentially broad applicability concerns were raised about the multiple components of the system an... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors prove that a discrete approximation of a class of optimal control problems can be recasted as an rl mdp the authors prove that the original naf formulation of the qfunction cannot approximately ... | the paper concerns learned q functions in continuous action spaces wherein the actionvalue function is assumed to be quadratic in the action variable and thus can be maximized in closed form the paper identifies a class of optimal control problems for which the approximation is reasonable and produces a proof to this e... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper deals with the problem of maximum common subgraph mcs detection following a learningbased approach in particular it introduces glsearch a model that leverages representations learned by gnns in a ... | the paper present a new learningbased approach to solve the maximum common subgraph problem all the reviewers find the idea of using gcn and rl to guide the branch and bound interesting although even after reading the rebuttal there are some important concerns about the paper the main issue raised by many reviewers ar... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper applies the concept of distributional generalization dg to mitigate unwanted behavior at test time they consider two main applications a mitigating disparate impact of differential privacy and b ... | the consensus amongst the reviewers is that the connection between dp and dg and the resulting wysiwyg framework for providing generalization guarantees for suitably trained models is both of theoretical and as the paper demonstrates potentially practical interest the paper does have some downsides in particular that t... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
edit i changed my rating from 4 to 5 based on the author responses this paper proposed a gan that learns a disentangled factors of variations in unsupervised or weaklysupervised manner to this end the prop... | the paper received mixed reviews it proposes a variant of siamese network objective function which is interesting however its unclear if the performance of the unguided method is much better than other baselines eg infogan the guided version of the method seems to require much domainspecific knowledge and design of the... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
given that most popular vision datasets are easy for humans this paper proposes a method to collect ambiguous data by extracting images from videos using this method the authors collect a sizeable dataset a... | overview accept poster the reviews for ambiguous images with human judgments for robust visual event classification were originally somewhat mixed but converged to mostly positive reviews of the revised text clarifications many of the originally noted issues had more to do with the clarity of presentation than issues... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a method bayesdice to estimate posteriors over candidate policy values which can be used for downstream policy selection specifically the authors estimate the posteriors over the correct... | the review team appreciated the new bayesian perspective offered by the submission which lends itself well to selection and ranking though some of them were still not convinced by the motivation including in the private postrebuttal discussion r3 the reviewers also identified many points for improvement the paper was b... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes an empirical study of different mechanisms often set in place to prevent overfitting in deep rl it draws conclusions at what the challenges are and suggests future work directions this p... | this paper presents an empirical study of generalization in visual reinforcement learning this study is carried out in the domain of video games and it addresses the benefits of techniques such as regularization augmentation and training with auxiliary tasks the reviewers for this submission were positive about the goa... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper aims to shed the light on the work mechanisms of the learned optimizers the main contributions of this paper are the following ones 1 the authors found the connection of learned optimization pat... | a line of work since 2016 has investigated learning nnbased optimisers which produce optimisation updates by processing lossgradient info with neural networks this paper tries to understand the learned dynamics of these nnbased optimisers by linear approximation to the learned nonlinear dynamics visualisation of these ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper introduces a large annotated dataset for object concept learning the proposed dataset contains annotation at two levels of granularity category and instance level the dataset also provides causal... | this paper presents work on a dataset for object concept learning the main contributions include causal relations in the dataset and a method ocrn the initial reviews pointed to concerns over the nature of the causal relations the presentation of the paper and the ocrn method and its motivations use of the dooperato... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper introduces the metarewardnet mrn method for preferencedbased reinforcement learning pbrl mrn learns a reward from human preferences over trajectory pairs by combining a supervised preferencebased ... | the reviewers carefully analyzed this work and agreed that the topics investigated in this paper are important and relevant to the field overall the reviewers had a generally positive impression of this paper one reviewer argued that the paper introduces a novel technique for learning a reward function from human prefe... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper provides theoretical studies for why encoderdecoder can be seen as a generalization of rnns in timeinhomogenous sequence modeling the authors put an impressive amount of effort into mathematicall... | this paper presents a theoretical analysis of the approximation properties of linear recurrent encoderdecoder architectures obtaining universal approximation results and subsequently showing approximation rates of targets for rnn encoderdecoders it introduces a notion of temporal products which helps to characterize th... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the authors propose a way to improve the representation learned from contrastive learning when the downstream task is anomaly detectionout of distribution detection ad specifically an unsuperv... | the paper investigates how the geometrical compactness of indistribution examples affects ood detection performance and proposes architectural modifications to enable compact indistribution embeddings all the reviewers agreed that the paper has several interesting contributions i agree with the authors that simplicity ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies the connection between resnet and neural ode specifically 1 this paper investigates the approximation error between the hidden state trajectory of the resnet and the solution of the neura... | the paper provided an error bound for the approximation between the hidden trajectory of resnet and its neural ode the trajectory value of resnet is different for each layer which is more close to the practice authors find a case linear residual functions small initial loss where the error bound can converge to zero by... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a graph convolutional network s2gc the major difference between s2gc and previous graph convolutional networks is the proposed new graph convolution filter this paper also systematically... | the authors propose a simple spectral graph convolution s2gc variant of gcns using a modified markov diffusion kernel the approach proposed aims to tackle gcn performance degradation with increased depth oversmoothing by combining techniques from earlier works simple graph convolution and appnp this is complemented by ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors proposed a multimodal 3d human pose estimation dataset targeting rehabilitation exercises the collected the dataset using 20 subjects they combined mmwave rgbd and imus as sensing modalities whi... | this paper presents a dataset of synchronized radar intertial sensors and rgbd images of healthy young people conducting rehabilitation exercises the paper also demonstrates how this dataset can be used as a benchmark for human pose estimation and as a catalyst for multimodal learning reviewers appreciated these aspect... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper is wellwritten and easy to understand the exposition on dip is very clear and would be easy for a newcomer to the field to read and understand the idea behind this paper suggests an interesting ... | the paper has received three detailed reviews and enjoyed a lively discussion during reviewresponse the central criticism of all reviewers prior to revision was the simplicity of the data used to demonstrate the method as well as the limited choice of baselines after response especially due to the inclusion of an exper... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents neural deformation pyramid ndp a learningbased method for nonrigid point cloud registration given a source point cloud and a destination point cloud ndp learns a dense se3 warp field or ... | all reviewers agree this work is a creative approach to nonrigid registration which is particularly hard in the meshfree point cloud setting the discussion between the authors and reviewers was extremely productive and addressed most of the major concerns about this work in preparing the camera ready the authors are ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper wants to propose a simple method to deal with multitask style problems strengths 1 the method is straightforward extending the existing deep rl method via multiple value networks weaknesses 1 ... | in this paper the authors investigate a multitask rl actorcritic technique where a single actor is used while multiple critics are trained one per task where each task corresponds to a different reward function experiments on several environments demonstrate that this method works quite well in practice all reviewers ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the authors proposed point transformer v2 which is based on the previous stateoftheart point transformer compared to pt v1 pt v2 introduces several improvements including group vector attentio... | the paper focuses on modifying specific internal modules in the pointtransformer pipeline for added benefits it received four detailed reviews from expert reviewers the discussion period included healthy backandforth between the authors and the reviewers and many of their concerns were addressed and their questions ans... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a different look at why neural networks generalize despite optimizing to zero training error overparameterization etc the contribution is mostly experimental in the sense of computing v... | in an attempt to understand generalization this paper aims at understanding the dynamics of functions presented by the network for different images in the training set authors look at activation patterns whether a relu activation is on or off as a way of characterizing the active paths in the network and approximating ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the authors propose to equip transformer with stochastic experts ie a number of ffn layers in parallel to boost model capacity without increasing much computation moreover they propose a con... | in this paper the authors introduce a simple mixtureofexperts model by greatly simplifying the routing mechanism experts are randomly activated both at train and inference time a consistency loss function is added for training the proposed models enforcing all experts to make consistent predictions the proposed method ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies positional encoding pe for graph neural networks gnn a positional encoding can be seen as a computed feature for each node from characteristics of the graph a wellknown example of pe are ... | this work studies the question of increasing the expressive power of gnns by adding positional encodings while preserving equivariance and stability to graph perturbations reviewers were generally positive about this work highlighting its judicious problem setup identifying the right notion of stability and how it sho... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the manuscript is well written and very well presented the authors propose a new method and test it not only with insilico data but also with the experimental one and the results are clearly addressed they... | the authors propose a method to register a laser grid to a template grid map and analyze both classical approaches via ants and learningbased methods the task is interesting and somewhat more rarely tackled in itself in the field to my knowledge and the authors use synthetic data most reviewers had issues with the cla... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors consider online convex optimization over unbounded domains with potentially heavytailed subgradient estimates as feedback precisely they assume that the pthin12 moment of the subgradient is boun... | the paper makes an interesting contribution to the literature on online convex optimization with heavytailed stochastic gradient including infinite variance while two reviewers tcgd and wcjh were positive about the paper one reviewer wska had concerns about the motivation and the technical contributions commenting abou... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
considers an important problem and proposes an easy solution which shows some favorable results in experiments mainly well written and easy to follow the proposed method is novel to the best of my knowled... | meta review the paper proposes a simple but effective method for preventing a posterior collapse in vaes quality the work is technically sound the experiments are adequate and support the claim clarity it is a wellwritten paper originality the idea is not very new others have used mi to prevent posterior collapse... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper introduces a novel approach for prosody control in texttospeech models a sequence of prosody representations are introduced as latent variables in variational training different from prior work wh... | i am in agreement with the last 2 reviewers 1 there are many concerns about the technical correctness of the paper that can be improved 2 more thorough evaluations and experiments are needed im marking this as reject and i encourage the authors to address reviewer comments and resubmit |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
metalearning but additionally using side information to resolve contexts among a heterogeneous collection of tasks in order to induce better taskspecific representations the side information is captured thr... | this work presents a new metalearning algorithm to infer linear representation of task side information it introduces modelling improvement over existing conditional metalearning works with shared solution vectors conducts rigorous theoretical analysis and shows improvement performance with preliminary experiments its ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper introduces a new benchmark feta foundational models for expert task applications that targets the evaluation and improvements of foundational models on expert domain tasks common in realworld ap... | looking at the rebuttal the authors have addressed the main concerns of the reviewers overall work is novel and beanchmarks in experimental section add a lot of value |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper has well written each segment of this paper has been explained very well and references are organized very perfectly the author has used train validation and test which is a very good way to va... | the authors proposed an approach to assist the diagnosis of pulmonary oedema from xrays by training cnns to predict blood serum biomarkers instead of manually defined labels the authors target what appears to be an important clinical application the paper is clearly written even though not very innovative the method se... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper provides a datadriven approach to the selection of sampling points for compressive sensing this is not a new problem and has been studied for a while now there is a large literature on it for exam... | the reviewers all agree that the problems studied in this paper are interesting and the solutions provided are reasonable however qualitative and quantitative comparisons to state of the art methods are missing and the sensing model assumed by the paper needs to be more well motivated |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposed sapd algorithm for differentiable weaklyconvexstronglymerelyconcave wcsc wcmc minimax problems which is based on iteratively solving scsc subproblems while further assuming smoothness o... | the authors propose a new algorithm that attains the stateoftheart rates for an important nonconvex concave problem template which includes distributionally robust learning problems as a special case the main contribution of the work is the new proof technique that goes beyond 42 to obtain the new rates however the s... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper introduces the solution of an important task hierarchical concept learningor temporal abstractions from demonstration data specifically this paper considers 1 unsupervised setting 2 the hierarchy ... | although the paper studies a relevant and important topic which is about learning of hierarchy of concepts in an unsupervised manner the reviewers raised several critical concerns in particular although the hierarchical structure of concepts is the key idea in this paper the concept of hierarchy itself is not well expl... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposed a method to learn with pu data which quantifies the epistemic uncertainty of an ensemble of networks and selects which examples to pseudolabel based on their predictive uncertainty the a... | this paper proposes a new lossagnostic pu learning method based on uncertaintyaware pseudolabel selection i would like to thank the authors for their feedback to the initial reviews which clarified many uncertain issues and improved our understanding of the current paper nevertheless even if the pseudolabeling techniqu... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper introduces a new oneshot neural architecture search method that addresses the issue of scale variance in computer vision problems by allowing more flexibility in the multiscale aggregation and net... | this work focuses on neural architecture search nas for dense prediction the proposed method called scalenas considers a multistage crossscale search space and consists of two phases supernet training with grouped sampling and multiscale topology evolution results provided for semantic segmentation and human pose estim... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
update thank you for your response and clarifications i have left my score as is original review the paper presents an unsupervised method for inferring scene graphs from images building upon sceneat... | this submission generated significant discussion between the reviewers three of them ended up on the accept side but one remained firmly in the reject camp the main strength of the paper is that it tackles a very hard problem learning an unsupervised generative model and accompanying inference model of scene graph str... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work proposes selfensemble adversarial training seat which utilizes the states of history models during training to efficiently improve the adversarial robustness the reusing of historical states in th... | this paper proposes selfensemble adversarial training seat for yielding a robust classifier by averaging weights of history models the solution is different from an ensemble of predictions of different adversarially trained models the authors also provided theoretical and empirical evidence that the proposed selfensemb... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
below constitutes the official review for paper2605 summary of the paper this paper explores the problem of constructing invariant representations to certain new environments specifically they constrain t... | the paper introduces a new extrapolation problem for graph representation learning they refer to it as counterfactual modeling while the problem setup is intriguing and the work likely has merit two reviewers r2 and r4 found the writing highly problematic and we share their opinion even though some of the concerns ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
a novel method of learning intervention targets they give proof and perform experiments i am not sure intervention targets are an important problem to solve a little dry to read with pages of definition... | meta review this paper proposes a method to estimate the intervention targets using data from multiple regimes featuring soft interventions with unknown intervention targets assuming linear models with possibly latent variables and a way to infer the nonintervened parents or spouses of an intervened variable the method... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies using bonus for guiding exploration in reinforcement learning with large action spaces the paper focuses on rl algorithms using linucbstyle exploration bonuses linucb developed originally... | this paper tackles the problem of exploration in deep rl in settings with a large action space to this end the authors introduce an intrinsic reward inspired by the exploration bonus of linucb this novel exploration method called anticoncentrated confidence bounds acb provably approximates the elliptical exploration bo... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors argue that admmbased approach achieves higher accuracy than projected gradient descent however experimental evidence is lacking the authors should compare to a trivial variant of adam that a pro... | the paper proposes a progressive pruning technique that achieves high pruning ratio reviewers have a consensus on rejection reviewer 1 pointed out that the experimental results are weak reviewer 2 is also concerned about the proposed method and experiments reviewer 3 is is concerned that this paper is incremental work ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work investigates a classic unsupervised outlier detection problem in which we do not have any label information and need to learn a detection model from those unlabeled data to identify any inconsiste... | there is some positive consensus on this paper which improved somewhat after the very detailed rebuttal comments by the authors the use of limited amounts of ood data is interesting and novel there were some experimental design problems but these were welladdressed in rebuttal a reviewer points out that anomalyoutlier... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper curates existing synthetic datasets to compile a new dataset to benchmark video action recognition when using the resulting dataset for pretraining action recognition models it appears that synthe... | this paper had 5 reviews in response to the reviewers comments the authors performed additional experiments considering that the dataset consists of synthetic videos there are no concerns related to ethics privacy and copyright public documentation for benchmark reproducibility is available on github overall the author... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposed a new formulation of graph convolution that is based on graph wavelet transform the convolution network is expressed in eq4 with psis given by eq1 this new formulation is exciting in tha... | ar1 and ar3 have found this paper interesting in terms of replacing the spectral operations in gcn by wavelet operations however ar4 was more critical about the poor complexity of the proposed method compared to approximations in hammond et al ar4 was also right to find the proposed work similar to chebyshev approximat... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a twostage approach to automatically label ground surface segmentation roads pedestrian crossing obstacle in the first stage the paper leverages pedestrian and vehicle tracking as well a... | the paper proposes a method for annotating ground surface types such as sidewalks roads and street crossings using a both the egocentric view of the robot and the projections of other traffic participants to provide sparse semantic annotations with which a ground segmentation model can be trained the papers strengths... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors study risk aversion in a datadriven problem with contextual data using robust optimization they extend previous work that uses deep neural networks to build unconditional uncertainty sets they d... | the paper proposes a conditional robust optimization framework for solving contextual optimization problems in a riskaverse setting all three reviewers seem to agree on the usefulness and originality of the proposed approach as reviewer 8p9p finds the story to be complete the analysis to be comprehensive and the proble... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose a modification of the optioncritic algorithm for hierarchical reinforcement learning the proposed algorithm modifies how the termination conditions of the options are improved by experie... | the paper introduces a variant to the optioncritic framework that encourages options to display a certain level of diversity and this is induced by introducing a mutualinformation objective between the options and their transitions the authors conjecture that such criterion makes options more suitable for exploration ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper introduces an outofdistribution appendix to the wellknown tvlcdip benchmark along with results obtained with a number of stateoftheart models the authors prepared a very useful addendum to the r... | this paper focus on evaluating dataset bias outofdistribution particularly on document image classier all reviewers find the evaluation technically sound thorough and insightful all of them recommend acceptances the authors have carefully addressed all reviewers concerns therefore this paper is suitable for accept |
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