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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper builds the connection between various steerable cnn structures based on group representation theory and filter transformations using the discrete rotation and reflection group as an example the p... | this paper introduces an approach based on filter transform for designing networks equivariant to different transformation groups especially the authors rely on the haramonic analysis view of steerable cnns given in weiler cesa 2019 to design an equivariant filter bank by computing simple transforms over base filters ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a conditional independence test in a linear gaussian setting but the variance of the error term may not be a constant but affected by a function of a subset of its parents or sampling in... | in real problems data often exhibit the heterogeneity property as a consequence conditional independence tests that rely on the data homoskedasticity assumption may perform suboptimally leading to inaccurate causal discovery results this paper adapts the partial correlation tests to account for heteroskedastic noise an... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper studies an interesting inversegraphics problem it proposed a novel method to learn 3d shape reconstruction using pretrained 2d image generative adversarial networks given an image conta... | the paper proposes to use pretrained 2d ie image gans as a mechanism for recovering 3d shape from a single 2d image the work demonstrates impressive results on not only human and cat faces but also cars and buildings the method is demonstrated with qualitative results and quantitative results on multiple datasets and t... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a neural network the outputs of which create a bayesian network of sigmoids this is for use in massively multilabel situations where the class outputs are connected to some ontology by u... | the paper proposes a nice approach to massively multilabel problems with rare labels which may only have a limited number of positive examples the approach uses bayes nets to exploit the relationships among the labels in the output layer of a neural nets the paper is clearly written and the approach seems promising how... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors combined existing ophthalmology datasets and introduced additional biomarkers labels the authors identified ml tasks that are relevant to patient care and benchmarked classification performance... | the reviewers struggled to find a consensus for this paper concerns about applicability of the dataset due to domain shift issues with the data collection size of the dataset and clarity of the paper were raised at the same time i believe that despite its size the value of longitudinal data for diagnostics is extremely... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a novel crosslingual multitasking framework based on a dualencoder model that can learn crosslingual sentence representations which are useful in monolingual tasks and crosslingual tasks... | pros a new framework for learning sentence representations solid experiments and analyses enzh xnli dataset was added addressing the comment that no distant languages were considered also ablation tests cons the considered components are not novel and their combination is straightforward the set of downstrea... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
an approach to pruning and growing probabilistic circuits is proposed which is empirically shown to be useful for achieving higher effective utilization of the weights of the circuit and thus better likelih... | the paper introduces sparsenessinducing techniques for probabilistic circuits pcs leading to novel structure learning approaches for pcs the reviewers were very positive about this paper found it wellwritten and to be improving stateoftheart the techniques are novel and shown to be effective on generative modeling task... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work considers twoteam zerosum games where two teams with opposite objectives are facing each other while the literature is quite extensive on learning in zerosum games very little is known for twoteam... | in this paper the authors study teamzero sum games where two teams are facing each other with opposite objective the main result is that the complexity of finding equilibrium is cls hence probably not polynomial this result is obtained via a reduction to some congestion games three reviewers gave a mild positive sco... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work addresses the largescale pretraining in the opendomain texttovideo generation the major challenge to this task is the lack of large textvideo paired datasets available and the weak relevance betwe... | the authors address an important problem of texttovideo generation in this work although there is a set of solid contributions that are specific to video generation authorreviewer discussion as well as the following reviewerarea chair discussion did not address all the concerns raised by the reviewers furthermore the l... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors present a system defuse which is geared towards identifying and correcting classifier performance when labels are assigned incorrectly there are three phases that are used to design defuse 1 ide... | the manuscript describes a method for identifying and correcting classifier performance when labels are assigned incorrectly the identification is based on clustering classification failure regions in a vae latent space and the correction phase is based on finetuning the classifier with additional synthetic samples fro... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors explore a brand new yet challenging setting that studies adversarial training at with complementary labels cl generally it is significant to involve cl in at since imperfect supervision can be c... | this paper focuses on a significant and challenging problem adversarial training at with complementary labels a naive combination of at with existing complementary learning techniques fails to achieve good performance the authors conduct both theoretical and empirical analyses of this phenomenon and identified two key... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
important interesting problem and innovative solution concept good theoretical and experimental justification some unclarity on technical and theoretical matters the submission studies the problem of d... | meta review thank you for your submission to uai and the authors response to reviewers concerns this paper demonstrates a causal bandit method for determining the best atomic intervention given knowledge of the causal graph governing a system the paper presents algorithms for simple regret minimization with confounde... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors present a goalconditioned rl method which performs relabelling given a set of demonstrations the main claim is that demonstrations will help guide exploration a lot more efficiently this method ... | this paper proposes a method to improve the sample efficiency of the her algorithm by sampling goals from a distribution that is learned from human demonstrations empirical results on a simulated robotic insertion task show that the proposed method enjoys a better sample efficiency compared to her the reviewers find t... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes sagemix a data augmentation technique for point clouds similar to the mixup family of data augmentations sagemix mixes two point clouds it tries to mix point clouds in a saliencyguided wa... | this paper studies the point cloud data mixup with the saliency guidance the proposed sagemix focus on the mixup over the local regions to preserve salient structures which are more informative for downstream tasks the whole paper is well organized with clear logic to follow the proposed method is simple but effective... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies the problem of sampling from nonsymmetrical determinantal point processes ndpps in particular this paper focuses on exact sampling for lowrank ndpps the main contributions of this paper ... | this is an exciting paper that provide the efficient algorithms for exact sampling from ndpps along with theoretical results that are very pertinent in and out themselves the ac agree with the reviewers that the authors satisfactorily addressed the concerns raised in the reviews and is convinced that the revised versio... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the submission introduces new pixel level and segment level semantic annotations on top of the existing epickitchens100 videos annotations include temporal actions over short and longer time spans eg flour ... | this paper introduces new annotations on top of the epickitchen 100 videos which contain pixellevel instance and semantic annotations on objects on top of the valuable instance mask annotations such as handobject interaction the annotation volume presented is significantly larger than prior works in multiple statistics... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
updated review summary this work proposes an approach for modelbased optimization based on learning a density function through an approximation of the normalized maximum likelihood nml this is done by ... | this work proposes a modelbased optimization using an approximated normalized maximum likelihood nml it is an interesting idea and has the advantage of scaling to large datasets the reviewers are generally positive and are satisfied with authors response |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes methods to construct 2hop spanners to approximate similarity graph in extremely large data the idea is to use hashing functions to reduce the neighborhood searching load i think the pa... | all reviews for this paper were positive albeit with a varying level of enthusiasm reviewers found the problem large scale similarity search to be important and the authors contribution to it faster search using 2hops search graph constructed via lsh significant there were some concerns about the baselines in experime... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper focuses on the problem of aggregating transcriptions of speech signals from crowdsourced workers in practice multiple workers are asked to transcribe the same speech sentence an aggregation algo... | this paper makes two contributions 1 collecting crowdsourced transcripts for existing speech data librispeech and synthesized speech data rusnews the novel aspect is that each audio is annotated by 7 different crowd workers providing the largest publicly available dataset for crowdsourced texts aggregation 99k annotat... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper considers the welldefined feature selection problem the authors pointed out that the redundancy issue of the weightbased feature selection methods to tackle this the authors explored the secondor... | this paper proposes a new two stage secondorder unsupervised feature selection method via knowledge contrastive distillation in the first stage a sparse attention matrix that represents second order statistics is learned in the second stage a relational graph based on the learned attention matrix is constructed to perf... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper concerns a learning framework to predict set by formulating it as a conditional density estimation problem the approach relies on deep energybased models and predicts multiple plausible sets using... | the paper proposes to predict sets using conditional density estimates the conditional densities of the reponse set given the observed features is modeled through an energy based function the energy function can be specified using tailored neural nets like deep sets and is trained trough approximate negative log likeli... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a way of exploring compressible nns across different architectures sparsity levels and quantization levels during training the proposed framework is called unified dnas for comppresssible... | in this paper the authors present a new way to obtain compressible neural networks to fit on resourceconstrained npubased hardware initial reviews were mixed but the authors successfully managed to respond to reviewers concerns during the rebuttal period several reviewers pointed out clarity issues but 1 some of these... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a method called harmonicgan for unpaired imagetoimage translation the key idea is to introduce a regularization term on the basis of cyclegan which encourages similar image patches to ac... | the proposed method introduces a method for unsupervised imagetoimage mapping using a new term into the objective function that enforces consistency in similarity between image patches across domains reviewers left constructive and detailed comments which the authors have made substantial efforts to address reviewers ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a new method named lart that assigns weights to adversarial examples during adversarial training for better robustness compared to the previous baseline work ie iart the proposed method ... | reviewers raised various concerns and authors sent in no rebuttal in view of the negative consensus this paper then made a clear rejection case |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper shows that randomly initialized rnns can display a type of chaos called liyorke chaos and the number of linear regions they have remains exponential with depth unlike in feedforward nets strength... | this submission is borderline reviewer extu praises its theoretical contribution and highly recommends acceptance reviewers niom and yhqb are more tepid but still support acceptance in light of the sound theoretical analysis reviewer j5sz acknowledges that the analysis is sound but believes the models to which it pe... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a representation learning technique for dataefficient rl that makes use of invarianceequivariance of the environment wrt both state and agent actions this work builds on two ideas mdp ho... | this paper proposes to learn a latent space representation such that some linear equivariance and symmetry constraints are respected in the latent space with the goal to improve sample efficiency one core idea is that the latent space is also the same as the space of linear transformation used in the constraints which ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes using metalearning and fast online adaptation of models to overcome the mismatch between simulation and the real world as well as unexpected changes and dynamics this paper proposes two m... | the authors consider the use of maml with model based rl and applied this to robotics tasks with very encouraging results there was definite interest in the paper but also some concerns over how the results were situated particularly with respect to the related research in the robotics community the authors are strongl... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work evfm aims to to improve predictions of nbody system dynamics by combining continuous lie symmetries with permutation symmetry the authors propose to do this by encoding so3 invariant representatio... | the paper proposes a symmetryinformed neural network for modelling manybody systems the network is empirically evaluated in the tasks of predicting newtonian trajectories and molecular conformations all four reviewers are critical of the paper and recommend rejection one weak three strong the reviews have flagged weak... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a gan variant called chaingan which expresses the generator as a base generator which maps the noise vector to a rough model sample followed by a sequence of editors which progressivel... | the paper presents a ganbased generative model where the generator consists of the base generator followed by several editors each trained separately with its own discriminator the reviewers found the idea interesting but the evaluation insufficient no rebuttal was provided |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a 3d molecular generative model desert for structurebased drug design in a zeroshot manner the method involves two stages first sketching the molecular shape in the protein pocket then g... | the paper makes a novel contribution to methods for generating novel molecules from scratch the core idea is to generate a shape that fits the molecular pocket without looking at the protein structure two out of three reviewers recommended acceptance reviewers emphasize that the method is innovative and interesting an... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this submission introduces a generalpurpose prior for option discovery from demonstrations minimum description length ie a compression objective the authors extend the vta model from kim et al 2019 to inclu... | this paper studies the problem of learning options in multitask reinforcement learning the authors note that previous works optimize an underspecified objective and they propose adding an extra term to the objective function that relates to the description lengths of skills the authors study their approach and show emp... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors shed light on linear gcns models and propose a new design which aim at generalizing gcns to continuous and and a linear propagation model inspired by newtons law it is based on the hypothe... | this paper has been evaluated by four reviewers who overall hesitated between borderline rejectaccept in general as rev 4 points out this paper appears to cope with overoscillation rather than oversmoothing aspect of gcn modeling something worth clarifying rev 3 also rightly points out that the connection between the h... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper frames active learning as an integer optimization problem that minimises the distance wasserstein distance between unlabelled pool of data this is done in a feature space in this case trained usin... | this is an interesting submission which was overall well received by the reviewers i would recommend the authors to discuss further the vast modern litterature on efficient computation of wasserstein distances and their minimization see eg peyr and cuturi 2019 and references therein |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents an impaintingbased method for anomaly localization on images in the training time a conditional ganbased generative modeling approach is adopted in the test time a mask matrix is adapti... | the initial reviews were a bit split r4 was slightly positive r3 was slightly negative and both r1 and r2 voted for rejection the main issue was lack of proper comparisons with the sota methods and missing references in the rebuttal the authors added additional experiments as requested but r1 and r2 were not convinced ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a model for unsupervised pretraining for the task of question generation the model first predicts the number of answer present in a given paragraph and then selects the topk answer spans... | all reviewers appreciate the good quality of this submission with a good idea and solid execution as said by r3 the paper is clearly written and the addition during the discussion have greatly improved it as acknowledged by all reviewers however a major weakness of the submission still needs to be addressed before a p... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the authors construct a spiking neural network that performs metropolishastings sampling of a target posterior distribution for eg estimating external features given noisy sensory input and e... | although some reviewers have reservations about strong modelling assumptions the main contribution of the paper is clearly presented and technically sound |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper has a short analysis on rounding schemes comparing nearestrounding to stochastic rounding for quantized training it also introduces luq a new quantized training scheme with a fp4 format for the gr... | this paper proposes a method for 4bit quantized training of nns forward and backward obtaining sota 4bit training quantization motivated by an analysis of rounding schemes an important aspect in quantized training the main concerns from the reviewers were that the approach was not practical both a general concern and o... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors present a method to improve the performance of graph embeddings by using psl to reason using ontology axioms to predict the types of entities the iterefin method is able to the predicted types a... | this paper proposes a novel method iterefinee for cleaning up noise in kgs this method combines the advantages of using ontological information and inferences rules and kg embeddings with iterative cotraining iterefinee improves the task of denoising kgs on multiple datasets while the importance of multiple iterations ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper provides an interesting way to combine regularized approximate minimal polynomial extrapolation and optimistic methods i like the idea and the experimental results look promising however i have s... | the reviewers expressed some interest in this paper but overall were lukewarm about its contributions r4 raises a fundamental issue with the presentation of the analysis see the dinfty assumption the ac thus goes for a revise and resubmit |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper finds an interesting problem with the residual networks ie the network loafing problem they find that the subnetworks will perform worse than those that are individually trained inspired by socia... | this paper proposes to study the loafing problem in deep resnets which suggests that the sub networks of a deep resnet perform significantly worse than the same architecture trained alone it proposes a simple technique which jointly trains the main network and the kl divergence the main networks output and that of a ra... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper introduces a methodology of graph learning for dynamic graphs where the dynamics are encoded in the representation to obtain improved results on graph classification tasks this framework includes... | the paper proposes a new method for representation learning of timevarying graphs which uses a streamingsnapshot model to describe graphs on different time scales and metalearning for adaption to unseen graphs reviewers highlighted as strengths that the paper proposes an interesting approach for modeling temporal dynam... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes to make any neural network equivariant by symmetrizing over a subset of the group rather than over whole group if the subset selection fx depending on input x is equivariant gfxfgx then t... | the submission proposes a method to make a preexisting model equivariant to desired symmetries frame averaging the strategy relies on a significant reduction of the number of symmetries to average over with respect to the reynolds operator and uniform subsampling the paper also demonstrates the usefulness of this metho... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
originalitynovelty the two key contributions are to the best of my knowledge novel in the context of lda and require nontrivial efforts to develop especially for the theoretical results significanceimpact... | meta review the authors consider learning a distributed multiclass sparse lda model particularly including a fraction of byzantine failures arbitrary behavior and providing robustness by performing medianbased aggregation the main contribution of the work is the theoretical analysis eg showing only a slight decrease i... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper uses experimental measurements and empirical curvefits of learning curves to study their interaction with training protocols such as transfer learning and data augmentation they define the learni... | this paper studies the relationship between test error as a function of training set size and various design choices of neural network training overall all of the reviewers are excited about the prospect of relating error curves to neural network design choices but different reviewers complain about the rigor of empiri... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies gederated generative adversarial networks federated gans in particular the authors propose a new method uagan which is claimed to be better than earlier approaches i have several conc... | the paper presents a provable correct framework namely universal aggregation for training gans in federated learning scenarios it aims to address an important problem the proposed solution is wellgrounded with theoretical analysis and promising empirical results the paper receives mixed ratings and therefore there we... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
1 this paper designs a randomized substitutionbased approach model to detect textual adversarial examples 2 a number of experiments have been performed to evaluate the proposed model 1 this paper is not ... | meta review for the most part reviewers felt the proposed method was proven to be effective and that the paper constitutes a useful contribution |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper surveys various adversarial defense methods on their performance when the perturbation distortion epsilon is increased the author argues that robustness for a specific epsilon may not be enough a... | the authors study robustness curves which are plots of the robust error versus the radius used in the corresponding lpball threat model pro i completely agree with the authors that the current evaluation purely based on evaluation for a single radius is insufficient and one should report the complete curve con the a... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the manuscript improves the equivalent graph neural network gnn to tackle the possible inefficiency when the model predicts the dynamics of a physical system when the system symmetry is partially broken by ... | overall this is an interesting paper it proposed a new formulation of the equivariant graph neural network subequivariant gnn reviewers agree that the proposed idea could be useful to the community albeit with perhaps small application scope so on the novelty side this paper is okay the biggest concern among the review... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies the problem of private data analysis in the adaptivestreaming setting more specifically the authors provide a matrix factorization based method in this setting and apply it to sgd the pro... | the paper applies the idea of matrix mechanism to the problem of dp learning which releases sequences of adaptively chosen gradients this can be viewed as a generalization and refinement of the dpftrl approach the approach is interesting and the empirical results are stronger than existing alternatives such as dpsgd an... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper considers the online facility location problem with predictions in this problem there is a sequence of points which arrive online and the algorithm must either open a facility to serve each poin... | this paper considers the recent line of work on algorithms with predictions they give new results on the online facility location problem overall the reviewers felt the topic was of interest to the community there were some concerns about the error metric used and the overall framework however the majority of reviewe... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in order to eliminate the need for large training sets one can consider a transition from 1 fullysupervised to 2 selfsupervised methods and then from 2 selfsupervised methods to 3 singleinstance reconstruct... | the paper considers the problem of accelerated magnetic resonance imaging where the goal is to reconstruct an image from undersampled measurements the paper proposes a zeroshot selfsupervised learning approach for accelerated deep learning based magnetic resonance imaging the approach partitions the measurements from a... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper focuses on the setting of federated learning where the two agents are attempting to perform kernel regression using different kernels and hence have different models their study yields an algorit... | this manuscript proposes and analyzes a distillation approach to address heterogeneity in distributed learning the main paper focuses on a relatively simple twoagent kernel regression setting and the insights developed are extended and partially analyzed for a multiagent setting there are four reviewers all of whom a... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposed a new multimodal signature and digit string msds dataset including two subsets msdschs chinese signatures and msdstds token digit strings which is the largest publicly available chinese ... | the paper gets divergent reviews initially the reviewers appeciate the largest publicly available scale of the dataset for handwriting verification novel data collection process extensive experimental validation on baselines and modality fusion and findings on the importance of token digit string the main concerns incl... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
unlike most of the continual learning approaches in the literature that perform supervised training at each learning stage the authors propose to perform unsupervised representation learning on the sequence... | exciting work at the intersection of continual learning and representation learning the reviewers have all commented that the proposed work addresses a number of issues related to catastrophic forgetting which is very encouraging the work also shows that the representation learning with the proposed method is more gene... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the proposed work looks at the task of automated selfsupervised learning ssl on graphs by using pseudohomophily as a surrogate objective combined with a search strategy for the proposed approach autossl ... | strengths strong empirical study across multiple datasets however the gains are not as impressive as for other pretraining domains such as text or images interesting formulation of pseudohomophily as an objective to optimize in the selfsupervision stage wellwritten paper weaknesses novelty may be limited by the fa... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose a graph autoencoder architecture using what they term as neighborhood wasserstein reconstruction nwr they show experimentally that this reconstruction loss improves the embedding perform... | the paper proposes a novel approach to graph representation learning in particular a graph autoencoder is proposed that aims to better capture the topological structure by utilising a neighbourhood reconstruction and a degree reconstruction objective an optimaltransport based objective is proposed for the neighbourhood... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper considers the problem of tracking a curve path for a vehicle model the authors apply the neural lyapunov function approach to a straight line tracking problem given the learned lyapunov function ... | the paper focuses on path following of a ground vehicle with the use of nnbased clf it presents appealing demonstrations in hardware however it lacks empirical comparisons to prior works the paper is generally wellwritten and technically clear but the theoretical novelty is limited as the approach relies on minor modif... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper considers the problem of maximizing a monotone submodular function under matroid constraints when the value queries have independent random noise drawn from generalized exponential tail distribut... | overall this paper studies an important problem and obtains strong results there were some concerns raised by one reviewer regarding the novelty of the techniques and the lack of discussion regarding the noise model please make sure to add the discussion about the noise model from the rebuttal in the camera ready versi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents the languagecomplete arc to study how human language can affect abstraction and reasoning capability it collects the natural program described by human annotators and applies program syn... | the paper presents the languagecomplete abstraction and reasoning corpus larc a collection of natural language descriptions by a group of human participants who instruct each other on how to solve tasks in the abstraction and reasoning corpus arc overall the reviewers found the larc benchmarks to be wellmotivated howe... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose an approach for stereo depth estimation that is robust to adversarial attacks due to its use of traditional image features instead of cnnbased features positive the results appear to be... | this paper addresses the problem of robustness in stereomatching it has been reviewed by several knowledgeable reviewers with extensive experience in stereomatching and learning for stereo the majority consensus from the reviews was that the paper will be of interest to the community and should be accepted this metarev... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper addresses the problem of speeding up adaptation training by introducing an adversarial training algorithm that is compatible with large batch training previously while being able to significantly... | this paper presents scala a method to improve the efficiency of finetuning of a pretrained language model using adversarial training experiments confirm that scala allows faster finetuning compared to standard approaches without reducing accuracy i think this is a nice approach that can have a lot of impact for those... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper provides two new generalization bounds for nonlinear metric learning with deep neural networks by extending results of bartlett et al 2017 to the metric learning setting the two bounds have been c... | the paper provides two new generalization bounds for nonlinear metric learning with deep neural networks by extending results of bartlett et al 2017 to the metric learning setting the main contribution of the paper is by extending the techniques of bartlett et al from a classification setting to the metric learning set... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper targets solving a challenging and interesting task in medical image analysis the method was tested on multiple datasets it shows a decent improvement over ae and vae methods with a big margin 1 ... | i share the positive views of the reviewers about this paper i was especially pleased to see the improvements made to the paper during the rebuttal phase such as the addition of the auc experiment |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a method to determine the number of clusters k to use with kmeans the method uses a of policy gradient inspired method without states to predict the number of clusters to use the idea of... | the reviewers were unanimous that this submission is not ready for publication at iclr concerns were raised about clarity of the exposition as well as lack of sufficient experiments comparing to related work |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents a new deep architecture for segmentation of time series ie to find the subsequences inside of a time series corresponding to different classes and to determine the bounds of those subsequ... | this paper deals with segmentation of time series the paper has received quite detailed reviews and the approach seems to have several interesting aspects interesting architecture choice stepwise classification approach ability of capturing long range dependencies however there is a consensus that the paper would defin... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper reviews common assumptions made by recent theoretical analysis of metalearning and applies them to metalearning methods as regularization results show that these regularization terms im... | this paper is a systematic study of how assumptions that are present recent theoretical metalearning bounds are satisfied in practical methods and whether promoting these assumptions by adding appropriate regularization terms can improve performance of existing methods the authors review common themes in theoretical fr... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a method to defend against model stealing attacks this method is based on the mean correlation among the selected samples it provides two ways to select samples 1 finding wrongly classif... | the reviewers agreed that the proposed method and validation overall are a good contribution we urge the authors to update their paper to reflect the discussed clarifications eg regarding the threat models in use |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper formulates a novel problem in openset domain adaptation and aims to classify the unknown classes in the target domain this is different from the traditional openset domain adaptation problem setti... | the paper addresses openset da where samples from novel classes in the target domain get clustered into new unlabeled classes a key novelty in the learning setup is that it is assumed that one has access to a knowledge graph over classes both source and target that kg is used for grouping target samples into novel c... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a method that accepts two partially overlapping images and a keypoint in one of them and detects the location of the keypoint in the other image regardless of whether it is visible occlud... | this paper receives positive reviews the authors provide additional results and justifications during the rebuttal phase all reviewers find this paper interesting and the contributions are sufficient for this conference the area chair agrees with the reviewers and recommends it be accepted for presentation |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors present a general framework for the analysis of fewshot hpo with a focus on the optimallty gap across varying warmstarting techniques in hpo the paper provides an interesting study of the optima... | the paper presents theoretical bounds on performance of transfer learning methods various methods recently proposed in the literature are analysed with a novel framework which will be helpful to improve foundational aspects of transfer learning hpo methods all reviewers acknowledged the novelty of the paper and potent... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
does the paper present substantively new ideas or explore an under explored or highly novel question somewhat the paper combines two popular existing approaches imitation learning model based control an... | reviewers are in a consensus and recommended to accept after engaging with the authors please take reviewers comments into consideration to improve your submission for the camera ready |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a postprocessing method to improve the gan results the postprocessing consists of a projected gradient descent step to update the generated image to fit its target class which works with... | the paper proposes to improve generated images via a postprocessing update procedure guided by gradients from a robust classifier after the author response and discussion all reviewers agree that the paper is below the acceptance threshold reviewer concerns include limited technical novelty and missing experimental c... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in summary this paper does the following the initial problem is to analyze the trajectory of sgd in training anns in the space of p of probability measures on y times y this problem is interesting but dif... | the paper proposes a quantity to monitor learning on an information plane which is related to the information curves considered in the bottleneck analysis but is more reliable and easier to compute the main concern with the paper is the lack of interpretation and elaboration of potential uses a concern is raised that... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper empirically studies various cnn robustifying mechanisms aiming to achieve rotational invariance the main finding is that such robustifying mechanisms may lead to lack of robustness against pixell... | positives the paper proposes an interesting idea to study the effect on vulnerability to adversarial attacks of training for invariance with respect to rotations experiments on mnist fashionmnist and cifar10 an interesting hypothesis partially borne out in experiments negatives no accept recommendation from any revi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
reproducibility summary present scope of reproducibility clearly stated code reused author repository communication with original authors yes hyperparameter search yes includes new hyperparameters not ... | the paper has very strong reviews i agree with the reviewers that the paper has an exceptional quality in reproduction of the original results and clarity in presentation i recommend for its acceptance |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes an rso random search optimization method for training deep neural networks this method is gradientfree and based on the markov chain monte carlo search in particular it adds a perturbatio... | the paper proposes a variant derivativefree optimization algorithm that belongs to the family of evolution strategies es and zeroorder optimization algorithms to train deep neural networks the proposed random search optimization rso perturbs the weights via additive gaussian noise and updates the weights only when the ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes an algorithm for multiagent learning by sharing gradient information but not data among agents this algorithm can achieve collaborative learning while keeping data privacy this paper als... | this paper proposes and analyzes a new approach gradient assisted learning to collaborative training when features are split across several organizations although the work has some limitations all reviewers agreed that the paper contains a strong sound contribution and should be accepted the revisions made during the p... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
scope problem setting the paper studies the problem of representation learning from multiview data from an identifiability perspective in particular the focus is on latent correlation maximisation approac... | all reviewers agreed that this is a strong paper that the methodological contributions are both relevant and significant and that the experimental validation is convincing i fully share this viewpoint |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
overview in this paper the authors proposed a new format of representation called scene programs to describe the visual scenes to extract the scene programs from scenes the authors exploited the offtheshel... | this paper presents a dataset and method for training a model to infer from a visual scene the program that would generatedescribe it in doing so it produces abstract disentangled representations of the scene which could be used by agents models and other ml methods to reason about the scene this is yet another paper ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a method to learn object representation and train the model in a selfsupervised manner with a contrastive loss ablation studies involving different kinds of attention maps and object los... | the reviewers agree the paper should be accepted at the workshop congratulations it would be great to include baselines as pointed out by reviewer vy15 if this is not feasible for this workshops cameraready version due to the time limitations we highly recommend including them in future iterations of this work |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the idea is that as one smoothens the decision boundary of a piecewise linear function f eg from relunet its saliency map g obtained by gfracdfdx gets closer g n2 to the normal of the closest boundary hype... | this paper makes the following contributions 1 it shows that one reason behind the attributions being more interpretable for adversarial robust models is that for these models the gradient with respect to the input is more closely aligned with the normal direction to a close decision boundary 2 using the previous fact... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper observes the onesided convergence phenomenon of gans training and proposes the onesided mvi condition suitable for this problem then the convergence analysis is provided for the proposed amsgradeg... | this paper studies the convergence of adamtype algorithms two variants of amsgrad in particular in minmax problems that satisfy a onesided minty variational inequality condition the reviewers identified several weaknesses in the paper and the authors did not provide a rebuttal to these concerns so there was consensus ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents heterogeneous graph transformer hgt a new architecture that combines useful properties of gnns and transformers to design hgt for combinatorial reasoning problems particularly boolean sa... | this paper presents a new graph neural network gnn architecture with attention and with applications to boolean satisfiability the reviewers expressed concerns over various aspects of the paper such as a need for better ablations and an analysis of the difficulty level of the sat problems used in evaluation no rebutt... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper provides an optimal transport ot based algorithm for improving existing summary networks for learning from setstructured data the proposed approach views each set as a distribution over a set of g... | the proposed method for set representation learning with an application to mete learning is wellmotivated and reasonable reviewers original concerns about novelty and technical presentation have been well explained and addressed in the revision if some theoretical analysis can be provided regarding the proposed method ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper tackles the inverse problem of seismic deblending by using the well known plugandplay pnp framework together with a recently proposed selfsupervised denoiser which is adapted to follow the noise ... | the paper studies a seismic deblending problem this is a problem in reflection seismology in which multiple excitations are applied simultaneously and then an underdetermined inverse problem is solved to recover the underlying composition of the earth existing approaches to this problem are mostly based on regularizati... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a clustering algorithm by learning from the weighted similarity of each data partition more precisely the authors propose an unsupervised framework which aims to minimize an objective of... | the authors provide a framework for unsupervised clarification based on minimizing a betweencluster discriminative similarity it is more flexible than existing methods whose kernel similarity implicitly assumes uniform weights and the authors connect to ideas such as maxmargin and weighted kernel approaches this yields... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies iterative magnitude pruning imp which is used to find a sparse subnetwork that can train to achieve the accuracy dense networks can achieve the authors found that empirically training on... | this paper presents comprehensive experiments studying the role of data in finding lottery tickets in the early stage of training all reviewers liked the paper and agreed that the paper has novel and insightful results worth sharing with the community |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper describes a starganbased approach to generating synthetic images of various defects based on the underlying training data the proposed method considers two different types of domains eg the foreg... | the paper proposes a gan based method for synthesizing various types of defects as foreground on different product images background the method builds upon starganv2 and adds the cyclecontent consistency loss and classification loss between foreground and background while the paper considers an important problemapplica... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
1 the authors considered uniform upper bound of the stochastic gradients gi the authors may argue that the classical theoretical analysis of sgd assumes that the stochastic gradients are uniformly bounded b... | the reviewers have a strong consensus towards rejection here and i agree with this consensus although i think some of the reviewers concerns are misplaced for example the paper does not appear to use a magnitude upper bound that would be vacuous together with a strong convexity assumption although variance bounds str... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a monitor that observes the input and output of a machine learning model and checks if they satisfy requirements two scenarios are investigated first when the monitor is only present at ... | all reviewers liked the presented approach of using a concurrent verifier in both the learning and inference phase in the pac setting the approach also presents theoretical proofs for bounds when using such a verifier the reviews also provide many details for improving the presentation for both improving the correctnes... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work studied a variancebased regularization method based on weighting correction for domain generalization it also theoretically analyzed the potential benefits of the proposed method over erm and the ... | this paper has been widely discussed between reviewers and authors unfortunately even after the reviewers updated their scores the paper was still judged to be below the acceptance threshold i encourage the authors in taking into account the reviewers comments while preparing the next iteration of their work |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
pros targets an important problem adversarial attacks semantically constrained as opposed to being constrained by an artificial norm ball extensive results with a wide variety of models datasets and more... | the paper received two borderline accept recommendations and one accept recommendation from three reviewers with low confidence and a reject recommendation from an expert reviewer although all reviewers found that the paper addresses an important and challenging problem of semantically constraining adversarial attack... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors investigate the value of fully connected layers at the end of convolutional neural networks in the small data regime they demonstrate that the addition of these layers significantly improves mod... | the paper shows that using final fullyconnected layers helps the generalization of convolutional neural networks in lowdata regimes the addition of these layers significantly improves model quality resulting in a network with the same number of parameters and better generalization performance initially reviewers had m... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work proposes a new approach based on projective clustering for compressing the embedding layers of dnns for natural language modeling tasks the authors show that the tradeoff between compression and m... | the paper proposes to use projective clustering to compress the embedding layers of dnn this is a novel interesting idea which can impact the area of knowledge distillation there were some concerns about the empirical study which was addressed to some extent by the authors during the rebuttal |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper modifies the original attention block in rest paper by 1 rewind convin based multihead attention in rest to original multihead attention form no conv in in vit 2 add upsampling operation to the do... | this paper introduced an improvement over rest by addressing the issues introduced by downsampling operations in msa all reviewers have recognized the contribution of this paper and the impressive performance achieved by the proposed algorithm in the rebuttal the authors have wellfixed reviewers major concerns and new... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes an approach to handling the challenge of applying rl via supervision methods to stochastic environments the method is empirically demonstrated to outperform two recent baselines across t... | the authors explore a fundamental limitation of decision transformers and related rl via supervised learning approaches when applied to stochastic environments they propose a new and simple approach that clusters experiences to disentangle action quality from environment stochasticity their esper approach achieves larg... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
i am sorry but i am super confused with this paper there is no clarity and about half of the sentences are written with broken english the model as far as i can understand from the partial explanations an... | the paper proposes an interesting neural architecture for traffic flow forecasting which is tested on a number of datasets unfortunately the lack of clarity as well as precision in writing appears to be a big issue for this paper which prevents it from being accepted for publication in its current form however the re... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper discusses a method for generating long videos in which new content is introduced as the camera moves forwards training on such videos especially in high resolution is prohibitively expensive one o... | all four reviewers enjoyed this paper and were particularly impressed by the videos provided in the supplementary material the results are very impressive indeed the reviewers also agreed that using a multi stage approach was interesting and effective the two new datasets were deemed useful to the generation community ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes using featurelevel adversarial perturbation to explore interpretable adversarial attacks the proposed method can generate targeted universal disguised physically realizable and blackbox a... | this paper proposed the use of generative models to create feature level adversarial perturbations the resulting attack images have unusual transferability properties the reviewers agree that the threat model is interesting and the clarity and thoroughness of the paper is above the bar |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents a novel way of performing fewshot kb completion without having to rely on metatrain datasets constructed in an adhoc fashion specifically they propose learning a hypothesis proposal modu... | this paper studies fewshot knowledge graph completion problem it proposes learning a hypothesis proposal module that given different support evidence graphs finds a common hypothesis that is supported by the evidence the authors present 2 approaches for the hypothesis proposal and evidence proposal modules an optimizat... |
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