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Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a new method on training energybased models with maximum likelihood instead of using mcmc approaches to sample from the ebm authors follow previous work on training neural generators for...
the authors proposed to train an energy based model with a hierachical variational approximations the entropy can be tricky in hierarchical variational approximations the authors suggest using the auxillary samples to guide an importance samples to compute the gradient of the entropy they evaluate their approach on a ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary the authors identify a synergy between the rate distortion rd and reinforcement learning rl literature rd work shows how to optimise resources when capacity is limited and the authors transfer thi...
the paper studies rl from a ratedistortion rd theory perspective a new actorcritic algorithm is developed and evaluated on a series of 2d grid worlds the paper has some novel idea and the connection of rl to rd is quite new this seems like an interesting direction that is worth further investigation on the other ha...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: paper proposes chisquare test in the federated setting where data sharing is not possible paper proposes fedchi squarea secure chisquare test in the federated setting the proposed method is practical in th...
this work proposes a federated version of the classical chi2 correlation test the key new step is the use of stable projection to reduce computational overheads associated with the use of secure multiparty protocols overall while the contribution is of interest the novelty is rather limited i also consider the work to ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the work proposes a method to guarantee fair prediction intervals in regression tasks it takes the approach of quantile regressions to obtain the prediction intervals and uses a previous result on the form ...
this work extends the grouplevel fairness definitions that were primarily established for supervised learning tasks to the problem of conformalized quantile regression a conceptual contribution is to redefine the grouplevel fairness using the average prediction to quantiles based on this adaptation the authors further ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents some experiments using random projections instead of embeddings from a 1ofv encoding experiments on the penn treebank benchmark data set show that in a feedforward language modeling arc...
there is a clear reviewer consensus to reject this paper so i am also recommending rejecting it the paper is about an interesting and underused technique however ultimately the issue here is that the paper does not do a good enough job of explaining the contribution i hope the reviews have given the authors some ideas ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: i have read the authors response and i would like to stick to my rating from the authors response on the convergence issue the result from 1 does not directly apply since the activation function that the au...
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 analyses the consistencybased ssl methods in settings where data lie a manifold of much lower dimension than the input space and obtains tractable results the paper relates the analysis with ma...
this paper provides some theoretical perspective on the use of data augmentation in consistency regularizationbased semisupervised learning the framework used in the paper argues that highquality data augmentation should move along the data manifold this generic view allows the papers ideas to be applied across dataset...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the reviewed paper is concerned with a fundamental challenge of modelbased reinforcement learning namely that the objective used to train the dynamics model may not align with the final objective of return ...
the paper addresses an important problem in modelbased rl the objective mismatch problem in which the objective being optimized is different from the actual objective needed the paper proposes a lower bound function on the expected return the training resembles a gan approach the paper also presents numerical study to ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary this paper proposes an interpretable rl agent architecture that uses attention masks to produce visual explanations of the action selected by the policy and output of the value function ...
the paper proposes a method to generate attention masks to interpret the performance of rl agents results are presented on a few atari games reviewers unanimously vote for rejecting the papers r1 r3 give a score of 5 whereas r4 r5 give a score of 4 their concerns are best explained in their own words r1 says the use ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper analyzes asynchronous sgd also known as delayed sgd where stochastic gradients are computed over m machines and sent to a central server and the server updates its iterates every time it receives...
the paper makes a significant contribution towards the  analysis of asynchronous sgd which hinges on a new delayadaptive step sizes and a new virtual iteratebased analysis the authors also cover a rather wide range of assumptions including lipschitz convex thm 1 smooth lipschitz nonconvex thm 2 smooth convex thm 31 smo...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: overall authors extend clevr dataset so as to consider multiple viewpoints and evaluate current neural network models in that setting they also update a standard approach to introduce camera viewpoint in...
this paper was reviewed by 4 experts in the field the reviewers raised their concerns on lack of novelty unconvincing experiment and the presentation of this paper while the paper clearly has merit the decision is not to recommend acceptance the authors are encouraged to consider the reviewers comments when revising th...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes an interesting and potentially quite impactful and valuable idea which i believe is novel the idea is instead of specifying invariances by hand in the architecture of a network we can in...
pros all reviewers agreed that the idea was particularly interestingnovel i personally appreciated the perspective of unlearning invariances that prove inconsistent with the training data rather than learning invariances that are demonstrated by the training data the authors significantly improved clarity during the ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper studies the credit assignment problem in multiagent domain soccer playing as a concrete application the paper itself is wellwritten i hope that the author could use a better methodology to make th...
the reviewers raised a number of major concerns including the incremental novelty of the proposed if any a poor readability of the presented materials and most importantly insufficient and unconvincing experimental evaluation presented the authors did not provide any rebuttal hence i cannot suggest this paper for prese...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper introduces deepinteraction a new approach to fuse rgb and depth input to do 3d object detection prior works only add rgb features to the lidar point cloud while deepinteraction treat them equally ...
this work was overall positively technically evaluated with some concerns mainly related to limited experimental validation the need to some additional justifications and explanation and the missing computational cost analysis the provided rebuttal responded sufficiently well to these concerns and the overall evaluatio...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary the paper proposes a method for the sequential metalearning problem the author meta learn not only model parameters but also learning rate vectors for parameter blocks to this end the metalearn mode...
the paper proposes a sequential metalearning method over fewshot sequential domains which meta learns both model parameters and learning rate vectors to capture taskgeneral representations reviewers raised many insightful and constructive comments the main themes are as follows the problem setting needs further motiv...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper presents how to embed a random graph using gnn and shows how to use this to solve nphard scheduling problems for multiple robots each state of a multirobot reward collection problem is represente...
this work develops an approach to embed random graphs some even with dependent edges hence going beyond classical models such as erdosrenyi gnp using gnns and uses these to develop approximation algorithms for solving nphard scheduling problems which typically involve some notion of minimizing weighted completion time ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary   ok but not good enough the authors present hashrouted convolutional neural networks hrns intended to enable learning of stable representations for continual learning ie representations that chan...
reviewers raised several concerns about the paper guided by unfounded heuristics as well as the artificiality of the tasks involved rebuttal only answered a few of them and did not convince the reviewers which has been clearly stated in the response we hope that the authors will improve the paper for future submission...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: error feedback ef is a technique for ensuring convergence of biased contractive compressor however it achieves suboptimal convergence rate when full gradient is used recently ef21 was introduced to mitigate...
this paper presents several variants and extensions including stochastic and proximal of the errorfeedback method ef21 and provides convergence rates for each of them and shows that they improve upon previous state of the arts despite the much broadened application scenarios and sota in convergence ratescomplexity the...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: objective of the work the paper uses the chaotic theory to study the dynamics of sgd it provides algorithm to compute the most positive and the most negative eigenvalues of hessian based on analyzing the ly...
the authors study the learning dynamics of deep neural networks through the lenses of chaos theory the key weakness of the paper boils down to a lack of clarity and precision chaos theory seems to be mostly used to computing eigenvalues but is not used to derive meaningful insights about the learning dynamics r2 note...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: paper is very similar especially all maths to paper from same 1st author in brudfors2019 but clear novelty claimed to now use the mrfnn model with a unet instead of a probabilistic segmentation model som...
this paper proposes a mrfunet product to improve the generalization to unseen data the reviewers pointed out the high similarity and overlap with ipmi brudfors2019 moreover they questioned the results which are lower than current stateoftheart consequently the practical use of this method seems quite limited however ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper aims at finding a way to measure the quality of the representations learned in selfsupervised learning ssl without having to evaluate them on downstream tasks based on recent experiments concernin...
decision accept this paper proposes a task agnostic method to evaluate the representation quality of neural network by looking at the eigenspectrum decay power factor for the feature covariance theoretical results and empirical results show the method can be used as a cheap alternative for understanding neural network...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this work proposed two variational embedding methods for knowledge graph inference tasks the experiments show slight improvements compared to other variational embedding methods eg kg2e transg and slight i...
the paper proposes a novel variational inference framework for knowledge graphs which is evaluated on link prediction benchmark sets and is competitive to previous generative approaches while the idea is interstnig and technically correct the originality of the contribution is limited and the paper would be clearly imp...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors come up with a surprisingly elegant algorithm minimal random coding which encodes samples from a posterior distribution only using a number of bits that approximates the kl divergence between po...
this paper proposes a novel coding scheme for compressing neural network weights using shannonstyle coding and a variational distribution over weights this approach is shown to improve over existing schemes for lenet5 on mnist and vgg16 on cifar10 strictly dominating them in terms of compressionerror rate tradeoffs co...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: in this paper the authors proposed the duality gap as the criterion for evaluating the training of gan to justify the proposed criterion the authors designed empirical experiments on both synthetic and real...
all reviewers still argue for rejection for the submitted paper the ac thinks that this paper should be published at some point but for now it is a revise and resubmit
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper tackles the problem of generalizing to outofdistribution human behavior when using sim2real methods to develop assistive robotics capabilities to that end the authors formulate what they call the...
this paper considers the task of training policies for humanrobot collaborative tasks and observes the need for out of distribution generalisation for human policies as a prerequisite for training the authors present an approach for learning a latent representation for human policies that may be adapted online review...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a method for learning functions that take small point clouds as input such that they are both permutation and rotation equivariant to aggregate information from a tuple of points in a rot...
this work studies the problem of building powerful representations of lowdimensional point clouds with permutation and rotational equivariance with the motivation to tackle applications in the physical sciences their main technical contribution is the use of the socalled geometric algebra a series of operations between...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper explores how the performance of bert and drqa changes as a result of being applied to different text snippets the paper compares retrieved snippets generated snippets nlg adversarial snippets answ...
this paper studies how factual predictions of a masked language model mlm are influenced by appending additional context via various context construction methods the work presents a set of interesting probes for the analysis with good justification on the probe design the paper is well written clear and provides good i...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studies adversarial attacks to deep neural network to achieve good attack performance this paper proposes the attack to the integrated gradients and the method taig is shown to be highly transfer...
this paper proposes integrating three existing approaches to give a simple algorithm called taig for generating transferable adversarial examples under blackbox attacks in the original reviews some strengths and weaknesses of the papers were highlighted although some of them have not reached general agreement after th...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studies the problem of crossdomain fewshot learning in images and focuses on pretraining and finetuning schemes through empirical study the paper shows the findings about the effectiveness of sup...
authors present a comprehensive assessment of learning strategies for cdfsl including supervised learning selfsupervised learning 4 variants thereof semisupervised learning referred to as mixed supervised singlestage and dualstage training and data augmentation strategies patterns are found among all these approaches ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary this paper proposes an approach to program synthesis that aims to incorporate information from different modalities focusing on combining inputoutput examples with natural language specifications t...
the paper proposes a new multimodal neurosymbolic technique for synthesizing programs the specification is given in natural language soft constraints and inputoutput examples hard constraints the multimodal program synthesis is formulated as a constrained maximization problem where the goal is to find a program maximiz...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposed a set of methods for posttraining quantization of dnns the methods include adaquant which jointly optimizes quantization steps for weight and activation per output activation of each la...
this paper received mixed reviews 3 positives 7 6 6 and 2 negatives 4 4 due to the divergence of the reviews i carefully read the paper and made my best efforts to understand the paper and the review comments this paper proposes to learn a quantization network using a small calibration set given a network trained with ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper applies gans for unsupervised audio generation particularly dcganlike models are applied for generating audio this application is interesting but the algorithmic contribution is limited qualita...
this paper proposes a gan model to synthesize rawwaveform audio by adapting the popular dcgan architecture to handle audio signals experimental results are reported on several datasets including speech and instruments unfortunately this paper received two lowquality reviews with little signal the only substantial rev...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper studies the classification group robustness of largescale imagetext pretrained models the authors identified that under the promptbased zeroshot classification protocol the worsegroup classificati...
this paper received unanimous recommendations of acceptance from the reviewer the authors did a good job addressing concerns from the reviewers especially with the additional ablation studies to decouple the gains from other techniques such as supcon the ac agrees with the reviewers regarding the contribution of this p...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper integrates a neural encoding of firstorder logic with deep learning architectures supplementing training data with declarative knowledge the approach is experimentally evaluated on mnist and visua...
the reviewers and ac appreciate the improvements made to the paper and thank the authors for engaging with the reviewer questions there are now quite a few neurosymbolic approaches and they are all rather similar this places a larger burden on the authors to have a thorough and systematic experimental comparison and re...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper studies generalization and optimization of kernelbased and onehidden layer neural network models the convergence guarantee is shown for a uniformlgi loss function in theorem 1 then in theorem 2 th...
the paper presents several interesting generalization results for uniformlgi loss functions a generalization of pl functions some of these bounds seem useful but the overall connection with the optimization length remains unclear this concern and other points of criticism remain present after the rebuttal phase other m...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this work proposes to optimize pu classifiers and conditional generative models jointly a cnicgan framework is proposed in which the generated examples and pseudo labels are applied to pu classifications an...
the paper studies the problem of leveraging positiveunlabeledpu classification and conditional generation with extra unlabeled data simultaneously in one learning framework some major review concerns on the weaknesses include limited novel technical contributions poor presentation and weak experimental results eg exper...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary the paper studies how neural networks extrapolate the authors theoretically examine twolayer relu mlps with mean squared loss in the ntk regime and building on these results gnns they find that th...
this paper studies how two layer neural nets extrapolates the paper is beautifully written and the authors very successfully answered all the questions they managed to update the paper clarify the assumptions and add additional experiments
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: overall the paper was well written and easy to follow the background section and related work also also decent the paper also attemps to solve an important problem of detecting ood using generative models...
meta review the paper considers the use of bayesian neural networks for outofdistribution detection in the context of vaes the goal is to compare the different samplingapproximation techniques of the weight posterior and their impact on ood detection quality it also provides a good comparison of different approaches to...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary for the finetuning of pretrained language models the authors proposed a supervised learning method that combines crossentropy loss and contrastive loss experimental results show that the proposed m...
this paper introduces supervised contrastive learning loss on top of typical crossentropy loss for finetuning language model for downstream tasks while the idea is simple and has been used in vision literature as pointed out by r1 r4 its application lm is first introduced in this paper the experimental gain is small i...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this work introduces a new problem setting reward free deployment efficiency focusing on two incentives 1 task agnostic exploration facilitates generalization 2 exploration policies that can collect large q...
this paper proposes a method to learn world models without rewards using a collection of agents that explore an environment the key idea is to maximize diversity between the trajectories collected by the agents to obtain a good world model with an emphasis on being as efficient as possible the authors present some theo...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper presents an empirical evaluation of a number of recent models for unsupervised objectbased video modelling five different models are evaluated on three partially novel benchmarks providing a unify...
this paper received 4 reviews with mixed initial ratings 7 5 4 5 the main concerns of r1 r2 and r4 who gave unfavorable scores included lack of methodological novelty analysisonly paper absence of experiments on real data 3 syntheticonly benchmarks missing baselines and an overall inconclusive discussion at the same ti...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposed an extension of the r2rmlf mapping language to specify the datatype and language tags this proposed extension is necessary and useful however the manuscript did not describe the contribut...
the four reviewers agreed that the work presented is interesting and relevant for the workshop however there is a clear consense that is not ready for its publication we would encourage the authors to join us in the w3c cg httpswwww3orgcommunitykgconstruct and help us in the definition of the next generation of mapping...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary this paper studied two continuous time methods called rescaledgradient flow and the signed gradient flow and proposed three efficient discretization namely the forwardeuler rungekutta and nester...
the paper proposes three discretization schemes for two firstorder optimization flows and proves the convergence to the minimizers of the problem that the optimization flows approach the methods are tested on the dnn training problem and show comparable performance pros 1 the problem being studied the discretization o...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a new type of continuous depth neural network architecture named invariant imbedding networks inimnets inimnets can imbed a given bf x input to different time steps time positions and ef...
the authors presents an alternative view of neural odes offering a novel understanding of depth in neural networks the reviewers were overall impressed by the novelty and potential for insights this work brings there was some disappointment that the empirical results were not stronger both in terms of pure performance ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposed an automated goal generation method curriculum selfplay cusp which aims to generate goals of diversity and of increasing difficulty in sample efficient way as well as to prevent catastro...
while one reviewer remained concerned about the possibility of convergence to bad equilibria and felt that the proposed method appears to be four minor changes from prior work paired the authors demonstrate empirically that the proposed changes make a significant difference in their evaluation other reviewers were posi...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper applies lexicase selection towards training deep neural networks using a hybrid evolutionarygradient descent optimization method the mutation operator is replaced by subgradient descent on bagged ...
the authors propose bringing lexicase selection from evolutionary computation and applying it to the optimisation of gradient descent this is done by training a set of p networks and using their performance to select this set of p networks as training progresses on random subsets of the training data the reviewers felt...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: 1 the paper is clearly written and well organized 2 the proposed 25d3d methods and the additional operations augmentation focal loss and geometric prior are easy to use 3 the experimental results shows the ...
the reviewers point out the limited methodological contribution and suboptimal connection to the video setting at the same time they applaud the presentation and general usefulness of the approach given that the paper could provide valuable insights for other practitioners with similarly challenging data and strict req...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents a new multimodal benchmark for language conditioned rl settings where an agent must complete tasks specified by text instructions in the atari frostbite environment their benchmark provi...
the arguments the paper makes require a stronger foundation and justification the reviewers and ac didnt find the author response sufficient for example in response to zbhj the authors argue that their benchmark doesnt use automatically generated trajectories and therefore the language is not synthetic in some sense it...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper demonstrates both theoretically and empirically that powerlaw scaling of the error with dataset size can be improved to exponential scaling using highquality data pruning metrics first significan...
the paper provides theory and experiments that power law scaling of error with respect to dataset size can be improved to exponential scaling by highquality intelligent data pruning the paper first provides a theoretical model to study the effect of pruning and show that it matches well in experiments beyond this the p...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper presents a novel neural architecture for the imputation task in the context of multivariate spatio temporal series for instances in sensor networks the core idea is derived from the constatation t...
the paper tackles the important problem of spatiotemporal data imputation via a novel gnn architecture and corresponding spatiotemporal attention mechanism that are both cogent and intuitive the author feedback satisfactorily addresses key concerns in particular the ablation study is a great plus and the virtual sens...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: minor multiply typos and grammatical errors esp section 51 onwards for example see here with the construction of dynamic hypergraph we assign the nodes featuress with the hidden embedding of price and volum...
the paper builds upon hypergraph convolutional networks hcn extending them to timevarying hypergraphs in dynamical settings however as some of the reviewers pointed out it would be useful to explore other system variations to better justify the choices in this particular approach perhaps an evaluation on a wider set o...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studied the problem of dnn training and generalization in vanilla architecture without bn and skip connections in resnets it follows ntk theory and the approach of applying certain transformation...
this paper seeks to find an answer to some quite interesting research question can deep vanilla networks without skip connections or normalization layers be trained as fast and accurately as resnets in this regard the authors extend deep kernel shaping and show that a vanilla network with leaky relufamily activations c...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes some modifications to byol bootstrap your own latents in an attempt to address adversarial robustness in lowlabel high data regimes the paper is well written and very easy to follow ove...
the paper considers the use of adversarial selfsupervised learning to render robust data representations for various tasks in particular to integrate the bootstrap your own robust latents byol with adversarial training where a small amount of labeled data is available together with a sizable unlabeled dataset especial...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary the paper studies the empirical properties of the kronecker factorization based approximation to the hessian of the loss the paper makes the following two empirical observations 1 top eigenspace o...
this paper studies different properties of the top eigenspace of the hessian of a deep neural network and their overlap it raised quite a lot of discussion which finally went in not very constructive way the reviewers generally agree that the paper has potential but the actual contribution is limited pros the idea t...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: in the paper a probabilistic method is proposed for bayesian optimization transfer learning or metalearning a latent representation is modeled separately for each task the surrogate used in bo will be appro...
this paper propose an approach to probabilistic metalearning for bayesian optimization the goal is to accelerate bayesian optimization under the assumption that multiple related tasks require optimization in terms of strengths the paper addresses an important problem as it has applications to efficiently optimizing hyp...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a graph learning approach for solving the multirobot task allocation mrta problem it frames the problem as a markov decision process mdp and trains a policy with a graph neural network ar...
the paper considers the problem of solving timeconstrained multirobot task allocation mrta problems formulating the problem as a markov decision process mdp the paper proposes covariant attentionbased mechanism cam a graph neural networkbased policy that can be trained to solve mrta problems via standard rl methods the...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper aimed to dig more information into the raw rnaseq data in a referencefree fashion which would not be captured and analyzed in usual rnaseq pipelines the method was to compute continuous embedding...
this paper proposes to learn continuous of kmer embeddings for rnaseq analysis major concerns of the paper include 1 novelty seems limited 2 questions about the scalability of the approach 3 evaluation experiments were not suitable for supporting the aim overall this paper cannot be accepted yet
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper provides theoretical analysis of the sample complexity and the loss landscape of attention mechanism under several assumptions the paper claims that attention models have lower sample complexity ...
the three reviewers seem to reach a consensus that the assumptions made in the paper are too strong and hard to interpret in particular r1r2 made the comments that the generative model for the data by itself uses attention which seems to be make the comparison unfair the authors seem to argue that the attention model i...
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 cooptimize the software and hardware for dnn executions to maximize the energydelay product there are three main contributions 1 propose a formal representation of softw...
this paper considers the problem of hardware and software codesign for neural accelerators specifically it looks at hardware and the software compiler that maps dnn to hardware it employs bayesian optimization bo to perform joint search over hardware and software design parameters in an alternating manner to handle bla...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this work addresses finegrained entity typing by leveraging semantic relations of the mention with other words in the same sentence specifically the authors showed how to use hypernym relations and verbargu...
the paper make use of semantic relations hypernym and verbargument to obtain the state of the art performance in entity typing especially compared to strong baselines such as bert the paper presents an interesting message that linguistic features could be still important among the age of endtoend methods it is also cle...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper investigates the extent to which pretrained transformer models successfully capture linguistic structure the approach taken is to present the model with carefully constructed pairs of linguistic p...
the paper presents a significant body of seemingly solid work but its contribution nevertheless feels limited it evaluates a single mlm on a single dataset and results are largely unsurprising note the authors added experiments on other lms in the rebuttal the idea of using perturbations is related in spirit to many in...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: language models lms have difficulty selecting the correct premise for a proof when the library of available premises is large the authors use a data preprocessing step to train an lm to use an automatic the...
the paper presents a method to integrate language models and hammers automated theorem provers for interactive theorem proving the authors train the language model to recognize an opportunity to invoke a hammer by transforming the training data they check whether the hammer can be applied at each proof state the appr...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: na na na na na na docsepthe paper provides a empirical analysis of the efficacy of several hardware predictors and their downstream impact on the end to end nas algorithm performance on the hwnasbench and t...
the authors conduct a comparison of several hardware predictors inspired by the work of white et al 2021 all reviewers consider this study useful but also identified some areas that require deeper investigation it remains unclear whether the results transfer to different search spaces or nas algorithms that differentia...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: based on the observation that clean and backdoor training samples have different feature statistics the paper proposes to detect and remove the neurons that are mostly affected by backdoor training samples ...
the authors propose a hypothesis that backdoor neurons in an infected neural network have a mixture of two distributions with significantly different moments formed by benign samples and poisoned samples respectively they then propose two mathematically informed and intuitive ways to defend against the attack the metho...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the manuscript proposes a method for molecular graph representation learning by combing graph topological structure with 3d geometric information for molecular structure it is natural and necessary to cons...
this paper studies the problem of how to use 3d molecular geometry information during training to improve performance during prediction time when 3d information is not available this is a highly interesting problem as obtaining 3d molecular geometry information requires expensive calculations and such information is us...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors proposed a method to train an ensemble of sparse dnns by means of dst such as rigl which within the same training flop budget is reported to generalize better than the enclosing dense net or oth...
summary the goal of this work is to reduce the costs of inference in ensembled models by ensembling sparse models the paper also aims to reduce the costs of training these ensembles as well the proposed techniques dst and edst each these goals respectively discussion as noted by the reviewers the paper is interes...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary the paper presents a framework to reduce internal redundancy in the video recognition model to do so given the input frames the framework predicts two scaling factors to conduct temporal and channel...
this paper presents work on efficient video analysis the reviewers appreciated the clear formulation and effective methodology concerns were raised over empirical validation the authors responses added additional material that assisted in clarifying these points after the discussion the reviewers converged on a una...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper describes a retrievalbased model which uses querytoquery similarity for the wikisql semantic parsing task the method especially does well when labeled data is scarce the approach is simple yet e...
this paper proposed a simple and effective retrievalbased approach for texttosql semantic parsing for the datascarce setting the approach has been evaluated on the wikisql dataset and demonstrates gains over the previous best model sqlova when a small number of training examples were used it also demonstrates a zerosho...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper describes metamethod and metrics for solving iterated batch reinforcement learning problems the paper concludes with experiments on an acrobot simulation strengths 1 the iterated batch rl motivat...
the paper studies dynastyle mbrl in a resourcelimited setting it is evaluated on an acrobat task where it shows very promising results the reviewers appreciated the extensive replies but they did not fundamentally change their opinion in particular lack of formal problem statement and definitions the experiment on a...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this work is about layerwise training of networks by way of optimizing the ib cost function which basically measures the compression of the inputs under the constraint that some degree of information with ...
this paper does two things first it proposes an approach to estimating the mutual information between the input x or target label y and an internal representation in a deep neural network l using mine for iyl or a variation on mine for ixl and noise regularization estimating ixl where is isotropic gaussian white noise...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors derive two algorithms based on instrumental variable regression and game theoretic approach for imitation learning strengths the authors have adapted the instrumental variable regression of ang...
this paper studies imitation learning from a causal inference perspective the authors propose a method to remove the effects of confounders on expert action a using instrumental variable regression which presumably leads to better estimation of pas and hence better imitation the reviews were negative overall at the st...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary this paper introduces a new fairness notion that takes an exponential form of renyi mutual information the strongness of the notion is claimed via the proof theorems 123 that the notion is an uppe...
the paper proposed a new inprocessing approach to train fair predictors under several notions of statistical fairness tho this end the author rely on the exponential renyi mutual information ermi between sensitive attributes and the target variable as notion f fairness and show that it is a strong notion of fairness ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary adaspeech is a paper on practical tts custom voice adaptation with the aim of reducing the amount of adapted parameters per voice to allow cloud serving of a large number of custom voices while ma...
the paper is about adapting a voice generation model to new speakers with minimal amount of training data the key insight in this paper is that the voice can be adapted using a small set of variables the bias and the variance associated with the layer that normalizes the melspectrogram associated with the decoder addi...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary after discussion period after corresponding to the authors and reading other reviews my assessment hasnt changed much which is that the paper is a good line of research but still needs improvement ...
this paper analyzes a version of optimistic value iteration with generalized linear function approximation under an optimistic closure assumption the algorithm is shown to enjoy sublinear regret the paper also studies error propagation through backups that do not require closedform characterization of dynamics and r...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this work deals with the problem of congestion control in tcp communications specifically the work studies policies for tcp senders which govern the rate at which each sender sends packets this problem is...
i thank the authors for their submission and active participation in the discussions the paper presents an rl method for tcp congestion control while this application paper is borderline all reviewers unanimously agree that this papers strengths outweigh its weaknesses in particular reviewers remarked that the method i...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper presents a simple method for constructing decision rules for classification problems through linear programming in fact the method rather uses rules generated by the standard decisiontree algorith...
the reviewers are rather critical about the paper and the authors did not take a part in the discussion phase let me also add that the paper ignores a vast number of papers dealing with a similar problem the column generation algorithm is a core of lpbooting also used for rule learning rule learning with monotonicity c...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors cast the saliency problem as finding an optimal ablation path between two images 1 according to the formulation of the saliency problem proposed in this study the authors try to connect previous...
while the reviewers in general liked the ideas proposed in the paper the experimental evaluation has several issues that need fixing before it can be accepted
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors prove an upper bound on the estimation error that depends on pairwise distances between hidden unit values per layer the bound itself is quite likely very loose in standard deep learning setting...
this work proposes an approach to encourage withinlayer diversity in neuron activations and derive a generalization bound meant to motivate their approach none of the reviewers support the acceptance of this work despite the authors detailed rebuttals with the majority of reviewers confirming their preference for reje...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: pros figure 4 a is informative which clearly illustrates the invertible learning process the authors display the failure cases in fig 4 b which is helpful for other researchers working on this filed howev...
while reviewers find the ideas in the paper interesting they also raise several major concerns in particular r1 and r4 find the claims of invertible and lossless to be potentially misleading the bijective property is achieve on the first stage l1 layers due to a sequence of onetoone mappings as is done in previous wor...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary this work demonstrates that although the boltzmann softmax operator is not a nonexpansion a proposed dynamic boltzmann operator dbs can be used in conjunction with value iteration and qlearning to a...
pros a method that obtains convergence results using a using timedependent not fixed or statedependent softmax temperature cons theoretical contribution is not very novel some theoretical results are dubious mismatch of boltzmann updates and epsilongreedy exploration the authors seem to have intended to upload a ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a pipeline to generate 3d garments from 2d patterns this approach is primarily automatic requiring minor manual interventions it is defined naturally similarly to the way realworld patte...
the paper provides a 3d garment generator that can be very useful for the clothing fashion and 3d human analysis community this looks to have a unique value compared to the very few existing alternatives overall reviewer opinions are toward acceptance of the paper
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a cnn approach for head and neck cancer outcome prediction a better motivation of the method is needed and clear statements of what is shown in the experiments more detailed comments are...
the paper evaluates the performance of a model based on a unet preprocessor followed by a resnext classifier for survival prediction in head and neck cancer patients using ct and petct images the paper is wellpresented on the whole the ideas are uptodate and clearly described and the ablation study is interesting ho...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper provides a new method for selfsupervised learning ssl called directcopy based on a previous work directpred an important contribution of this work is theoretical analyses on directsetalpha a theor...
this paper furthers recent work by tian et al 2021 to explain how representation learning with noncontrastive selfsupervision works the paper accomplishes this by analyzing a family of algorithms in which directpred from tian et al 2021 is a special case their theoretical analysis is performed with linear networks over...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper introduces a new method for studying the value of hedging on uncertain variables in decisionmaking problems this is done by augmenting the reward with the value of the hedge that way gainslosses ...
this paper proposes a decisiontheoretic view of hedging within the framework of probabilistic graphical models augmented with a reward after reading each others reviews and the authors feedback the reviewers have solved most of their concerns and agree that the paper deserves publication however the authors need to ser...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary this paper proposes the learning to exploit l2e framework that can quickly adapt to diverse opponents unknown strategies the main contributions of l2e include 1 learning of the base model based on ...
well this paper has achieved something remarkable in this review process the initial scores came in at fairly low scores 4 5 3 6 however as the discussions rebuttals went back and forth the reviewers were able understand and see the merits of the proposed methodology namely the setting of l2e learning to exploit wh...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a new deterministic policy gradient method tdpo the main idea and its derivations are based on the use of a deterministic vine devine gradient estimator and the wasserstein metric the pa...
this paper proposes a deterministic policy gradient method that does not require to inject noise in the action selection although the reviewers acknowledge that this paper has merits novel and interesting idea well written technically sound they have some doubts about the motivations for the proposed approach and about...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents a new approach to learning disentangled representations of sequential data the model favae is based on the information bottleneck framework alemi et al 2016 achille et al 2016 and extend...
this paper introduces an autoencoder architecture that can handle sequences of data and attempts to automatically disentangle multiple static and dynamic factors quality the main idea is relatively wellmotivated however the motivation for the particular technical choices made seems a little lacking and the complexit...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors propose a specialization framework to create optimized transformer models for a given downstream task the framework systematically uses accuracydriven pruning the authors proposed two ways to re...
the authors propose a simple and effective technique for taskspecific pruning of transformer models that identifies which model components to prune by minimizing validation loss weaknesses of the paper include 1 related work reads more like a list and doesnt compare and contrast the proposed approach with related work ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: general the paper proposes a new hierarchical architecture for vaes the main idea is to use invertible components that could be shared by the encoder and the decoder however the paper is very confusing in m...
the paper proposes a variant of the hierarchical vae architectures all reviewers felt that the papers clarity was lacking while the authors made very significant improvements during the feedback phase which were recognized by reviewers the paper could use a revision that takes clarity into account from the ground up i ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes two new algorithms named samplethenoptimize batch neural thompson sampling stobnts and stobntslinear by combining the thompson sampling strategy and the neural network nn surrogate model ...
the authors introduced two asymptotically noregret neural thompson sampling algorithms they derived regret upper bounds and showed that they are asymptotically noregret under certain conditions they verified their empirical effectiveness with automl and reinforcement learning experiments all reviewers liked this paper ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper aims at deriving new bounds for langevin algorithms in some specific cases showing that the bound of convergence it attains is better than previously obtained in the literature it focuses on obtai...
after going through all the reviews rebuttals and discussions in detail i am recommending a borderline acceptance for the paper more precisely the technical contribution of the paper is significant even though there have been some concerns raised regarding the motivationapplicability of the setup however i do believe t...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a novel disentanglement metric unibound to construct the metric the method uses partial information decomposition which decomposes the the mutual information between the latent variables ...
the topic of the paper is the use of partial information decomposition pid for the analysis of interactions in latent representations all reviewers ended up appreciating the paper after a good extensive discussion with the authors the numerical investigation is somewhat on the short side one reviewer asks for more abl...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper improves upon enas and darts by taking a differentiable approach to nas and optimizing the objective across the distribution of child graphs this technique allows for endtoend architecture search...
this paper provides an alternative way to enable differentiable optimization to the neural architecture search problem different from darts snas reformulates the problem and employs gumbel random variables to directly optimize the nas objective in addition the resourceconstrained regularization is interesting the majo...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper investigate sampling problems in hep simulations and neural importance sampling nis based methods in addition an nis algorithm developed based on the znis a pytorch library is introduced the perfo...
the paper considers neural importance sampling that is importance sampling with a trained flow proposal and its application to highenergy physics the two contributions of the paper are a a methodological improvement in the training of the proposal b a description of a software library that implements the framework all...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper considers the problem of privately estimating the covariance matrix that corresponds to a dataset two algorithms are given with each of them attaining better performance depending on the regime th...
the reviewers all concurred that the main result of this paper is quite interesting it privately estimates the covariance better than established methods in particular parameter regimes given the clear accept sentiments towards this paper there was little additional discussion
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: update after author discussion my original review mentioned an apparent similarity to videoflow and a weak experimental setup as the main reasons for my score through discussions with the authors i am now ...
this paper proposes an approach to probabilistic time series forecasting based on combining autoregressive deep learning models with normalizing flows in terms of strengths time series forecasting is a fundamental problem the proposed approach is a reasonable combination of existing model components that provides a fle...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes an algorithm to approximately sample from a logconcave distribution over a convex continuous body in applications like bayesian statistics sampling exactly from a distribution often turn...
sampling from logconcave distributions is a well studied problem and there are many existing algorithms that can sample from a distribution close to the true distribution up to a small total variation distance the paper gives a new reduction that can use these algorithms as a subroutine to get samples from a distributi...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes an uncertainty density ratio of sourcetarget prediction to adapt for the target domain the methods also validated in the robust semisupervised tasks the paper proposes an uncertainty de...
this paper investigates the problem of uncertainty calibration under distribution shift based on a distributionally robust learning drl framework the paper estimates the density ratio between the source and target domains to achieve wellcalibrated predictions under domain shift as a plugin module the proposed method b...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: before i begin i have to note that im not very familiar with the concepts in algebraic topology required to fully understand this paper so i find it unfortunate that this paper ended up in my batch i have p...
three reviewers gave quite positive ratings and comments on the paper one another reviewer gave lower ratings the ac thinks the reviewer with a low rating raised quite reasonable questions but found overall the pros outweigh the cons which seems to mostly stem from the unclarity in writing the ac would recommend accept...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary this paper proposes the use of gans as a realistic benchmark for continual learning and shows how continual learning techniques applied to the discriminator can alleviate mode collapse existing cont...
this paper studies training of the generative adversarial networks gans specifically the discriminator as a continual learning problem where the discriminator does not forget previously generated samples this model can be potentially used for improving gans training and for generating synthetic datasets for evaluating ...