Neurips reviews 2020 reddit Summary and Contributions: This paper is about using a unified language model to build task-oriented dialog systems. It also relies on uncompensated contributors to Business, Economics, and Finance. Summary and Contributions: This paper discusses the problem of backdoor attacks (i. Their second attempt was to create a journal, TMLR, with fast review cycles. There is so much We are delighted to announce that the winner of the NeurIPS 2020 test of time award is HOGWILD!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent Motion is Blurring the Vision of Your Deep Neural Networks. Engaging Reviewers during rebuttal period of NeurIPS [R] I have a paper (theoretical work) at NeurIPS under review right now. - The authors use the same transformer base architecture as There is so much noise in the reviews every year. By default, paper at a workshop do not count as a "publication at a scientific venue". Our results demonstrate significant improvements over standard and clustering-based baselines 20M subscribers in the Futurology community. Review 3. Or check it out in the app stores Ban reviewers who write low quality reviews from submitting to NeurIPS? 2020. SDF-SRN: Learning Signed Distance 3D Object Reconstruction from Static Images by CMU This subreddit is temporarily closed in protest of Reddit killing third party apps, see /r/ModCoord and /r/Save3rdPartyApps for more information. From 2022 on, the Datasets and For the latest registration-related information please refer to NeurIPS 2020 website. Since the conference is held in Montréal this year, that means NeurIPS will be hosted for three years straight in the same country. Properly using myriads of unlabeled data to aid supervised learning has been in the radar of many machine learning researchers. OR authors cannot make an arxiv submission anonymous once it is Posted by u/andrew_ng_2020 - 6 votes and 4 comments Dear RL enthusiasts, recently, I came across the paper NeurIPS 2020 paper Learning to Utilize Shaping Rewards: A New Approach of Reward Shaping. Please make your review as detailed and informative as View community ranking In the Top 1% of largest communities on Reddit [R] [NeurIPS 2020] Fast Transformers with Clustered Attention. We plan to submit to NeurIPS '24; should we cave in and try submitting at ICLR instead (September deadline)? Is it worth going all-in on these next few weeks? 33M subscribers in the worldnews community. ** *"Reddit relies on volunteer moderators to keep the platform welcoming and free of objectionable material. The paper highlights the fact that most popular GNN architectures naturally have I love how they took more than 12,000 papers, 22 reviewers, only flagged four for ethics, and think that's a success It's relatively easy to trawl through their list with obvious topics and find problems Review 2. The proposed method is an interesting way to identify exemplars of word senses in different contexts by employing the Review 2. Post any questions you have, there are lots of redditors with admissions knowledge waiting to help. - The authors use the same transformer base architecture as View community ranking In the Top 1% of largest communities on Reddit [R] [NeurIPS 2020] Fast Transformers with Clustered Attention. In particular, this framework can be used to train neural networks in a greedy layer-by-layer manner. [D] When exactly is the NeurIPS rebuttal deadline? Last Friday, NeurIPS 2020 partnered with Climate Change AI (CCAI) — an organization of researchers, engineers, entrepreneurs, investors I completely agree. I actually published a paper at neurips 2020. In fact, from our ablation studies of the aggregation function (see Appendix B. Without desk-rejection we will essentially overload reviewers and the risk of having low-quality reviews is very high. Strengths: The main idea of this paper is that the authors formulated pruning as an empirical risk minimization (ERM) 2. We should keep in mind that the work is still valuable no matter what the final result is. Accepted Papers for the NeurIPS 2020 are now on the conference Welcome to the Second Age. NeurIPS, ICML, ICLR) do not allow non-anonymous arxiv submissions. In essence the “reviewer The reviews were also pretty long and asked a lot of questions (often different aspects), which made our responses pretty long but 3/4 reviewers acknowledged that their concerns were Last Friday, NeurIPS 2020 partnered with Climate Change AI (CCAI) — an organization of researchers, engineers, entrepreneurs, investors The NeurIPS 2020 paper reviews were sent out last Friday, starting the author response phase. We present high quality image synthesis results using diffusion probabilistic models, a class of latent variable models inspired by considerations from NeurIPS 2020 Denoising Diffusion Probabilistic Models. Four knowledgeable reviewers recommend accept, on the basis that this paper provides a universal approach to hard shape-constrained supervised learning that is applicable to a wide range of problems of interest to the NeurIPS community. This subreddit is temporarily closed in protest of Reddit killing third party apps, see /r/ModCoord and /r/Save3rdPartyApps for more information. reReddit: Top posts of 2020     TOPICS. In short, given an implicit function on some continuous domain (e. This year, NeurIPS is hosting two workshops dedicated to self-supervised learning: “ Self-Supervised Learning for Speech and Audio Processing ” from Business, Economics, and Finance. This is novel and reviewer agrees that the paper has a good contribution. We would like to invite authors to publish and present their work at our Neural Information Processing Systems (NeurIPS) 2020 Workshop. In many non-CS departments, these conferences are still relatively unknown, and so being able to report these numbers internally would be very helpful [R] NeurIPS 2020 | Teaching Transformers New Tricks Transformers are a class of attention-based neural architectures that have enabled advanced pretrained language models such as Google’s BERT and OpenAI’s GPT series and produced numerous breakthroughs in speech recognition and other natural language processing (NLP) tasks since their debut The rise of machine learning (ML) has made centralized decision-making more efficient than ever — while also raising some difficult but important Hi there,We are trialing a new publication and peer review model, based on pre-registering experiments. NeurIPS 2020 final paper reviews should be released soon, after the reviewers update their scores. Additional comment actions. This year we are offering new challenges and opportunities providing participants with an unprecedented amount of traffic data for at least 10 entire cities through the course of a full year. Posted by u/Yuqing7 - 3 votes and 1 comment I assumed to submit to NeurIPS you would first need to withdraw from ICML. This year, NeurIPS is hosting two workshops dedicated to self-supervised learning: “ Self-Supervised Learning for Speech and Audio Processing ” from Review 3. The reviews for NeurIPS 2022 accepted papers & rejected papers that opted in are now public! Here is the link to the OpenReview page. Best Paper Awards. Strengths: The paper has compared with many recent dialog work. As a result, if I had a super-duper-hyper-cool result and there wasn't any chance of being scooped, I'd still submit it to NeurIPS, maybe to ICML, but probably not ICLR. Since then, almost everyday I come across long Twitter threads from ML researchers that publicly advertise their work (obviously NeurIPS submissions, Review 2. . That being said, journal papers include far more work than conference papers and usually include important information which suggests the limitations of a method and are intended to reach a broader audience. This year NeuRIPS has over 10000 submissions (double the size of ICML 2020), so even after desk-rejection phase, which assuming 85% of this amount will receive full reviewing process, we still have 8500 submissions left. A place for major news from around the world, excluding US-internal news. It's impossible to get reviews from "peers". reReddit NeurIPS 2020 Hard Shape-Constrained Kernel Machines. (Politecnico di Milano). Enjoy, and please let me NeurIPS also has a history of innovation in peer review. 8) it seems that concatenation is the most effective. , cases where node labels tend to differ between connected nodes). No-Regret Learning Dynamics for Extensive-Form Correlated Equilibrium by Andrea Celli et al. Experimental Setup - The experimental setup is elaborate and convincing. Weaknesses: Mostly is the innovation is not that huge. (Presentation Review 4. Oct 5, 2020 Cake day. You will get a lot more from NeurIPS if you engage. Refer to the official blog post for further details. The Reddit Law School Admissions Forum. Summary and Contributions: The paper develops a model-based approach to train decision trees of limited depth. The acceptance rate was 25% for duplicated papers—a bit higher than the overall 2014 acceptance rate. Summary and Contributions: This paper proposed a new pruning technique called HYDRA, that is able to compress networks with robustness preservation in the same time. However, I came across this statement on the ICML page (): “(a) We will allow dual-submissions to other venues whose full paper submission deadline falls after 9 May 2020 (the original notification date). Publishing only journal papers keeps only your advisor's interests in mind. The official Python community for Reddit! Stay up to date with the latest news, packages, and meta information relating to the Python programming language. In our case this is not an issue (we just have two elements in the set) and concatenation can also be used (similalry to RelationNet in few-shot learning). , ImageNet), on a large-scale (thousands of clients) and with a simulated non-IID distribution (sometimes also realistic like in the case of Reddit). The full paper is due soon. ”—So after rereading this my understanding is that authors craft the View community ranking In the Top 1% of largest communities on Reddit [D] List of the NeurIPS 2020 Accepted Papers . Submit to TPAMI, IJCV, JMLR, JAIR, Nat Comm. Summary and Contributions: This paper works on a very interesting an important regime of machine learning and specifically computer vision. Proposals deadline: October 7th 2020 Experiments deadline: April 2021 Review 1. All reviews were very insightful, raised valid questions and discussed critical parts of the paper in a very sophisticated way. Discussing adjacent conferences like ICML and NeurIPS 2022 paper reviews are supposed to be released in a few hours. GameStop Moderna Pfizer Johnson & Johnson AstraZeneca Walgreens Best Buy Novavax SpaceX Tesla. Pragmatic authors have found that the best way to publish groundbreaking papers is to bypass the double-blindness. I was wondering if attending Neurips would be a good stepping stone to see what the research world is like? NeurIPS 2020 Rethinking Pre-training and Self-training. The resulting algorithm class mimics iterative linear solvers (like P-CG and Lanczos), but also provides certain However, at least in my head, NeurIPS is still the better, more prestigious conference (as is ICML). , adversarial model updating to ensure poor/alternative performance on a specific subset of the data space) in federated learning. It only requires local geometry and thus can be generalized to arbitrary manifolds. Summary and Contributions: The paper proposes a new framework for boosting models in the representation space, i. The official Python community for Reddit! Stay up to date with the latest news, packages, and meta information relating to the Python programming Hello Planning to submit a paper to NeurIPS 2020. Summary and Contributions: Given a symmetric positive definite linear system A x_* = b, the paper lays out a framework for inference about x_* and H = A^(-1), given that linear measurements Y = A S are done, where the s_j are sequentially chosen. They also use that dataset to fine-tune pre-trained summarization models with reinforcement learning. NeurIPS 2023 Paper Reviews. That's why I created this sarcastic post, but it seems most people don't get it Top posts of May 2020. Authors. And vast amount of experiments are conducted to evaluate their approach. They were also pretty sane (in my experience, conf reviewers sometimes recommend to reject after finding very minor shortcomings, leading to high variance in the acceptance decisions). Each presentation is between 1-3 min with links to the paper (and codes). They experiment on the Reddit TL;DR dataset and significantly outperform both human references and all the baselines. Do I need to include the section "Broader Impact" in the fulll paper At NeurIPS last year all submitting authors had to register to review. Summary and Contributions: This empirical work proposes a semi-supervised framework that consists of three steps: self-supervised pretraining, fine-tuning, and distillation. Hi there,We are trialing a new publication and peer review model, based on pre-registering experiments. , PNAS, NMI etc. View community ranking In the Top 1% of largest communities on Reddit [D] Charles Isbell keynote at NeurIPS 2020 featuring Michael Littman and others on algorithmic bias . Reddit . The first of these is novelty -- always a tricky subject -- where some reviewers noted Review 1. However, computing the attention matrix, which is their key component, has quadratic complexity with respect Review 2. The Transformers paper was super well-known before getting accepted in NeurIPS. Summary and Contributions: Systematic evaluation of attribution methods for graph neural networks, incl. Which is more suitable and more easier to get accepted? Share Sort by: Best. Posted by u/Yuqing7 - 1 vote and no comments The awards have been announced. Top posts of April 29, 2020. The proposed method is an interesting way to identify exemplars of word senses in different contexts by employing the View community ranking In the Top 1% of largest communities on Reddit [R] Who’s ahead in AI research at NeurIPS 2020? Hey Folks, NeurIPS 2020 is coming up soon, so I figured I'd share my analysis of the top 100 organizations using a metric called the Publication Index (similar to how Nature ranks contributors). Top posts of 2020 I know most of the SPCs in my particular niche and they review for all or most of these as well. NeurIPS 2020 RetroXpert: Decompose Retrosynthesis Prediction Like A Chemist. The Neural Information Processing Systems Foundation Board has decided to hold NeurIPS 2020 as a purely virtual meeting. reReddit: Top posts of April 2020. Abstract. I also recommend accept. Fans of fantasy, science fiction, horror, alt history, and more can all find a home with us. The random baseline for this acceptance rate is 37. We are trying to keep the good reviews there and bring up reviewer 4's score. Summary and Contributions: The authors propose the Neural Manifold Ordinary Differential Equations to construct the manifold continuous normalizing flows. The main The bottom 50% of submissions are clear rejects. If a paper passes the review bar (even as a borderline paper) that still means something. A full agenda can be found by visiting the NeurIPS conference schedule page. Hi, in RelationNets the commutative operator is used to reduce the cardinality of the input set. A place where all fantasy managers can talk about all things related to fantasy hockey! Join other team managers and league commissioners to talk about league settings, give and receive This subreddit is temporarily closed in protest of Reddit killing third party apps, see /r/ModCoord and /r/Save3rdPartyApps for more information. We responded to all Tutorials will cover current lines of inquiry while general sessions will include talks, posters, and demonstrations. The first year of that track, 2021, has its own proceedings, accessible by the link below. NeurIPS, ICML, CVPR, SIGGRAPH Facebook WA: CVPR, ECCV/ICCV, SIGGRAPH, NeurIPS Top posts of April 26, 2020. There was some disagreement among the reviewers on a few areas. After months marred by controversies over poorly-explained desk-rejects and other problematic aspects of its review process , the 34th Conference on Review 2. Enjoy, and please let me Review 2. Here is a quick read: Open AI’s GPT-3 Paper Shares NeurIPS 2020 Best Paper Awards With Politecnico di Milano, CMU and UC After months marred by controversies over poorly-explained desk-rejects and other problematic aspects of its review process , the 34th Conference on Review 3. In the best case, it is Publication of submissions: After decisions have been made, reviews, meta-reviews, and author responses for accepted submissions will be made public (but reviewer, area chair, and senior Get the Reddit app Scan this QR code to download the app now. This number is sup guys, I have began a series of blog posts on how to write a neurips paper, to quote from the blog: The paper in question is Program Synthesis with Pragmatic Communication published at Neurips 2020. A published paper is the tip of the iceberg: When you see a published work, it is always the case that a team of people have labored behind the scenes, building up a critical By the NeurIPS 2023 Ethics Review Co-Chairs. After taking a few closer looks, a colleague found that their PPO in Figure 1 doesn't really solve discrete CartPole ("In the discrete-action cartpole task, PPO only converges to 170, but with the shaping methods it almost Does anyone know how to download the Neurips slides and videos? If anyone has already done that or knows a drive, please do let me know. Meta Review. Here is a quick read: NeurIPS 2020 | Probabilistic Approaches for Algorithmic Recourse With Limited Causal Knowledge. (UC Berkeley). Posted by u/Yuqing7 - 1 vote and no comments Check out also our Traffic4cast 2020 NeurIPS competition and join us to disrupt urban mobility!. The paper Algorithmic Recourse Under Imperfect Causal Knowledge: A Probabilistic Approach is on arXiv. The reviewers point out that the clear presentation and impressive empirical results. Valheim; Get the Reddit app Scan this QR code to download the app now Note that this is not a top 25 of neurips 22 but should be accurate upto top 15 or so as it is unlikely some org will be top 15 this year without being top 25 or better last year. A published paper is the tip of the iceberg: When you see a published work, it is always the case that a team of people have labored behind the scenes, building up a critical Your chances as a student researcher to produce something that will pass reviews at CVPR is also very small. NeurIPS 2020 Program 392K subscribers in the learnmachinelearning community. A paper dealing with an important, topical application. Summary and Contributions: This paper discusses robustness to input manipulations in neural nets from a causal point of view. NeurIPS 2021 workflow was very similar to its previous years: double blind, closed reviewing, with area chairs and senior area chairs, and meta-reviews, with the addition in 2021 of rolling reviewer discussion with authors (rather than a single author response). Novel approach and strong empirical results. NeurIPS 2020 paper reviews are supposed to be released in a few hours. Summary and Contributions: The paper proposes a three-step approach to using VAEs in decision making that entails model selection using SOTA learning objectives for VAEs, fitting posteriors given the best-trained model, and the use of mixtures to combine approximate posteriors for multiple importance sampling. Get the Reddit app Scan this QR code to download the app now. Or check it out in the app stores   Over 11. Review content is the primary means by which ACs, SACs, and program chairs make decisions about submissions. Summary and Contributions: The paper introduces a novel dataset (Hates Memes Challenge) with 10k annotated image+text memes. Abstract: Transformers have been proven a successful model for a variety of tasks in sequence modeling. Specifically, the approach proposes a novel MIP formulation with a l-1 norm minimization criteria that reveals exploitable structure, in that (a) the logical OR constraints deciding tree node branching decisions can be formulated using tighter big-M Get the Reddit app Scan this QR code to download the app now. Trophy Case Three-Year Club. The work has been theoretically motivated by NeurIPS 2020 BRP-NAS: Prediction-based NAS using GCNs. This report provides a summary of the This year, the PCs asked the ACs to secure 4 reviews (3 high confidence reviews). This gave a precise (but not covering all institutions) of the top ones only. NeurIPS Help/FAQ Contact NeurIPS Code of Ethics Code of Conduct Create Profile 2020 2019 2018 2017 2016 2015 2014 2013 2012 2011 2010 2009 2008 2007 2006 Does anyone know how the rebuttal phase works in NeurIPS this year? I added an 'official comment' to each review addressing the concerns, then added one ' official comment' to be paper giving a summary. The main 2020 2019 2018 2017 2016 2015 2014 Mitigating Manipulation in Peer Review via Randomized Reviewer Assignments; JAX MD: A Framework for Differentiable Physics NeurIPS uses cookies for essential functions only. The proposal is simple and has two components: a Review 4. This step formally codified a foundation for ethics within the conference framework. The authors first establish a connection between adversarial examples and backdoor attacks, essentially implying that (under suitable assumptions), 252 votes, 34 comments. Second Top 30%; Conferences (e. 9%). Review 1. This experiment was independently In 2021 the organizers of NeurIPS (one of the flagship conferences in machine learning) decided to move from CMT to OpenReview. sup guys, I have began a series of blog posts on how to write a neurips paper, to quote from the blog: The paper in question is Program Synthesis with Pragmatic Communication published at Neurips 2020. ml. I responded immediately with: "Honest mistake, first-time NeurIPS submitters! Please give us a chance. Or check it out in the app stores   Oh wow your NeurIPS reviews are as borderline as they can be. e. In the paper, authors detail the procedures of the data collection and annotation. Thoughts: New York Intense is a beautiful, masterfully crafted, kaleidoscopic fragrance. Check out the sidebar for intro guides. ML News | Call for papers, Postdoc/PhD/Research Intern vacancies, workshops etc. Crypto Posted by u/Yuqing7 - 1 vote and no comments 2020 2019 2018 2017 2016 2015 2014 2013 2012 2011 2010 2009 2008 2007 2006 Dates Submit Call for Papers NeurIPS Foundation Conference (Virtual) Site 2020 Reviewers After months marred by controversies over poorly-explained desk-rejects and other problematic aspects of its review process , the 34th Conference on The NeurIPS 2021 Review Experiment (Yannic Kilcher) Discussion Yannic Kilcher's thoughts on the 2021 NeurIPS reviewer experiment: https **A community dedicated to discussing alien life. Crypto Journal papers are the currency by which academics are measured. A subreddit dedicated to learning machine learning Contact NeurIPS Code of Ethics Code of Conduct 2020 2019 2018 2017 2016 evaluation of our private and non-private algorithms under varying levels of statistical and size heterogeneity on the Reddit, StackOverflow, and Amazon Reviews datasets. Committee members also read the corresponding paper reviews and rebuttal. View community ranking In the Top 1% of largest communities on Reddit. " I am contemplating asking the board whether tomorrow they could stand with the A while back I submitted a paper to NeurIPS. I haven’t received an invitation to review for any other papers and can’t tell if my paper has been assigned reviewers. Strengths: The work pushes current SOTA on ImageNet benchmark for semi-supervised learning. Proposals deadline: October 7th 2020 Experiments deadline: April 2021 One reviewer just updated yesterday (Sunday 22/08) their review and score in response to our rebuttal. Or check it out in the app stores   Does anyone have experience about how important the NeuRIPS reviews are? Reply reply Top 1% Rank by size . - The authors use the same transformer base architecture as Part of Advances in Neural Information Processing Systems 33 (NeurIPS 2020) AuthorFeedback Bibtex MetaReview Paper Review Supplemental. We were initially expecting to wait until the end of summer to decide if a hybrid physical and virtual meeting would be possible. The reviewers found that this paper provides excellent results for image segmentation, building off of previous work. Review 2. OR authors cannot make an arxiv submission anonymous once it is Business, Economics, and Finance. Summary and Contributions: The authors collect a large, high-quality dataset of human summary evaluations. Internet Culture (Viral) Amazing; Animals & Pets NeurIPS 2020 Spotlight, AdaBelief optimizer, trains fast as Adam, generalize well as SGD, stable to train GAN. Some good work that the authors are proud of might get rejected because of the noisy system, given that NeurIPS is growing so large these years. Summary and Contributions: Authors propose a method for learning implicit representations using neural networks with sinusoidal activation functions. This is a NeurIPS 2020 spotlight paper, scheduled for a ten-minute presentation on Wednesday, December 9, at 8:20am PST. All four viewers provide favorable or very favorable reviews. Or check it out in the app stores   or NeurIPS. • Soft version: The arxiv submission need only be anonymized during the review process. Reddit's home for Artificial Intelligence (AI) Sharing a collection of computer vision paper talks pre-recorded for NeurIPS 2020. Now to be fair, if someone sits down and just cranks out 50 mediocre papers, there's a good chance that a nontrivial amount will make it through neurips reviews. The experiments show that using RAD can improve the data efficiency and final performance on both pixel-based environments in Deepmind control suite and state-Applying I’m an ML software engineer and my work doesn’t involve a lot of research or publishing papers but I do have an interest in doing some research on my own and focusing some time on exploring new approaches, especially in the NLP space. Creating a discussion thread for this year's reviews. 770 subscribers in the ml_news community. A subreddit dedicated to learning machine learning This subreddit is dedicated to all subunits of the K-pop boy group NCT (엔시티 | Neo Culture Technology) under SM Entertainment. A lot of this comes down to "don't be shy". I'm mad at the methods: not only the AC didn't read the rebuttal and the initial If you see someone alone, approach them. A subreddit devoted to the field of Future(s) Studies and evidence-based speculation about the Does anyone know how the rebuttal phase works in NeurIPS this year? I added an 'official comment' to each review addressing the concerns, then added one ' official comment' to be paper giving a summary. The NeurIPS 2023 Ethic Review process began with the publication of the Code of Ethics. Your cautious AC in this case has assigned 6 reviewers to your paper, and got lucky that all of them r/NeurIPS: Subreddit for discussing the Conference on Neural Information Processing Systems (NeurIPS). It is hard to see how much improvement this is compared to Sololist and ARDM. I'm struggling to understand certain parts of the 2013 NeurIPS paper "Online Learning of Nonparametric Mixture Models via Sequential Variational In the NeurIPS 2018 handout, there is a photo that mentioned the conference will be held in Vancouver for both 2019 and 2020. It will be overwhelming. true. Do I need to include the section "Broader Impact" in the fulll paper Business, Economics, and Finance. While many researchers are pondering how to draft their I completely agree. Its contribution is three-folded: 1) It introduces a latency prediction model and shows that its weights can be used for an accuracy predictor which Review 2. 139 votes, 18 comments. code/data for a benchmarking suite. Summary and Contributions: This paper presents Reinforcement learning with Augmented Data (RAD), a plug-and-play module in reinforcement learning to naturally apply data augmentation. Or check it out in the app stores I wanted to get a quick overview of top NeurIPS 2021 papers, so I created an arxiv-sanity-like view of all the 2334 papers, and ordered them by rating. The Ethics Guidelines for Reviewers were also updated to reflect incorporation of the Code of Ethics. The memes in the dataset contain the associated text in text form as well as the proper licence to be used. - The authors use the same transformer base architecture as The bottom 50% of submissions are clear rejects. ? upvotes · comments Received this email for NIPS 2020 rejection and the reason for rejection is - 1. How hard is to distinguish graphs with graph neural networks? What Did You Think Would Happen? Explaining Agent Behaviour We are delighted to announce that the winner of the NeurIPS 2020 test of time award is HOGWILD!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent The NeurIPS 2020 paper reviews were sent out last Friday, starting the author response phase. Crypto Review 4. Reasons of desk rejection. This work means the world to my team. No responses from the other reviewers yet. Acknowledge the concerns of the lower " Today, NeurIPS stands with its Black community to affirm that, today and every day, Black lives matter. github. View community ranking In the Top 1% of largest communities on Reddit [R] Who’s ahead in AI research at NeurIPS 2020? Hey Folks, NeurIPS 2020 is coming up soon, so I figured I'd share my analysis of the top 100 organizations using a metric called the Publication Index (similar to how Nature ranks contributors). Or check it out in the app stores   What we learned from NeurIPS 2020 reviewing process Discussion Rejecting Reddit iOS Reddit Android Reddit Premium About Reddit Advertise Blog Careers Press. Premium Explore Gaming View community ranking In the Top 1% of largest communities on Reddit [D] NeurIPS 2022 public reviews. Strengths: + Attribution for GNNs is still under studied and the combination of performance comparison for several GNN attribution methods with an accompanying open-source benchmarking suite for GNN attribution methods Review 2. Or check it out in the app stores     TOPICS. To check whether decision consistency has changed as the conference has grown, we ran a variant of this experiment again in 2021. All we ask for is a chance at reviews. This submission is summarily rejected because: - The paper is not formatted This is probably true, but I'd also say that it is a good exercise to defend your work in any case and think seriously about criticism. Posted by u/Yuqing7 - No votes and no comments OP's post is saying that within NeurIPS this year (a very popular machine learning conference), there was a high rate (65%) of paper submissions that did not bother to post a rebuttal to reviewer's comments, or entirely withdrew from the process after getting unfavourable reviews. Case in point the first winner of the datasets and benchmarks, which mostly seems a relatively subjective and almost sociological survey, Reduced, Reused and Recycled, doesn't seem that high quality of a paper with a strange choice of using beta regression for time series data, but authors are in the almost incestuous field of 'data ethics' and all from For those of us who publish both in ML conferences and in traditional academic journals, it would be incredibly useful to know the impact factor of NeurIPS and other top ML conferences. NeurIPS 2020 results thread . 8M subscribers in the MachineLearning community. Correctness: The method looks correct Get the Reddit app Scan this QR code to download the app now. Here is a quick read: Open AI’s GPT-3 Paper Shares NeurIPS 2020 Best Paper Awards With Politecnico di Milano, CMU and UC Conferences (e. From this perspective, the authors motivate the design of a conditional latent variable model, whose latent space is explicitly decomposed into two Many researchers awaiting a decision on whether their papers would make it to this year’s NeurIPS conference received word this week — but the NeurIPS 2020 SOLOv2: Dynamic and Fast Instance Segmentation. r/Fantasy is the internet's largest discussion forum for the greater Speculative Fiction genre. Very good people/groups still regularly get rejected from there. Attention complexity is Hello Planning to submit a paper to NeurIPS 2020. _This community will not grant access requests during the protest. That seems long, but the reviews were of very high quality, and clearly came from the experts in the sub-area of the paper. The trusted source for news, discussions, and theories relating to Prime Video's The Lord of the Rings: The Rings of Power. Simply cut out the Conclusion. You can view Charles Isbell's NeurIPS keynote without registering for the conference here: https Review 3. View community ranking In the Top 1% of largest communities on Reddit [D] NeurIPS submission - When to start writing the paper? Most papers I get to review for NeurIPS/ICML are usually written in less than 2 weeks. Weaknesses: === Major Concerns === 1. By using the local charts, the manifold ODE can NeurIPS 2020 NVAE: A Deep Hierarchical Variational Autoencoder. Gaming. Tutorials will cover current lines of inquiry while general sessions will include talks, posters, and demonstrations. Here are some interesting ones: Swapping Autoencoder for Deep Image Manipulation by UC Berkeley & Adobe Research . But that might as well be a personal choice and completely be in my head. In the first stage of the process, the 30 NeurIPS submissions with the highest review scores were read by two committee members. According to the website, they should be released at 9am PDT on July 26th. We do not sell your personal information. Writing a rebuttal is a good way to practice this, even if it is Posted by u/evanthebouncy - 6 votes and 6 comments Because it is a better conference than NeurIPS/ICML Less hyped than NeurIPS (NeurIPS has twice as many submissions as ICML despite similar impact factors) OpenReview-> Less Because it is a better conference than NeurIPS/ICML Less hyped than NeurIPS (NeurIPS has twice as many submissions as ICML despite similar impact factors) OpenReview-> Less bullshit submission and reviews because everything is public archived Supplementary materials are at the end of the paper instead of a separate file Yesterday we received a desk rejection notice from NeurIPS because our paper is several lines over the 8-page limit. 5K abstract submissions to NeurIPS 2020! News Based on the submission Not sure about ICLR and ICML but for NeurIPS this year, I think you just needed to volunteer and follow the subsequent instructions. Summary and Contributions: This work investigates the use of graph neural networks (GNNs) for semi-supervised node classification datasets in the context of heterophilic (as opposed to homophilous) graph data (i. I haven’t looked if it is the same this year but I assume so. Now to be fair, if someone sits down and just cranks out 50 mediocre papers, there's a good Thank you for agreeing to serve for NeurIPS 2020! NeurIPS is time consuming, but the community needs outstanding people like yourself to uphold the scientific quality of NeurIPS. Discussion after rebuttal even turned out some other interesting 17 votes, 76 comments. After taking a few closer looks, a colleague found that their PPO in Figure 1 doesn't really solve discrete CartPole ("In the discrete-action cartpole task, PPO only converges to 170, but with the shaping methods it almost Posted by u/[Deleted Account] - No votes and no comments But ICLR quickly become similar to ICML and NeurIPS. This paper also shows the advantage of adaptive group lasso over naive group lasso by showing the adaptive group lasso is able to give selection consistency with less regularity condition on the inputs. Summary and Contributions: In this paper, the authors empirically demonstrate that increasing the model size -- in term of depth and width, and thus number of parameters -- of language models (LM) result in a better task-agnostic learner, which can zero/one/few-shots multiple well-know NLP tasks. The paper gives insights on DSM (Denoising Score Matching ) and MCMC method and links it to Probabilistic Diffusion models. The final version should clarify some technicall details and refer more broadly to the recent relevant . I thought to create a discussion thread for us to discuss any issue/complain/celebration or anything else. 9M subscribers in the MachineLearning community. It includes links to code, tldr section, and other meta-data available in OpenReview The NeurIPS 2020 paper reviews were sent out last Friday, starting the author response phase. While many researchers are pondering how to draft their rebuttals, others are decrying what In 2021, NeurIPS introduced a new track, Datasets and Benchmarks. D_edge - I have Don't waste your time resubmitting to trashy conferences like ICLR, NeurIPS, ICML. g. -known algorithms. [NeurIPS 2020] SMYRF: Efficient Attention using Asymmetric Clustering Research Abstract: We propose a novel type of balanced clustering algorithm to approximate attention. In a paper submitted to the NeurIPS 2020 Machine Learning for Creativity and Design workshop , Pinkney and Adler present their research, which Posted by u/Yuqing7 - 1 vote and 1 comment This subreddit is dedicated to all subunits of the K-pop boy group NCT (엔시티 | Neo Culture Technology) under SM Entertainment. They also use that dataset to fine-tune pre-trained summarization To be clear, I'm not mad for the decision; tomorrow there will be another deadline and life continues. NeurIPS is a huge conference Get the Reddit app Scan this QR code to download the app now. Crypto While we've written most of the code, we have some parts left and have not started running any experiments (though we know the steps forward and have a relatively organized research plan). Workshops are usually meant to discuss and get feedback on ideas "while you're working on them", and the works submitted there are often considered works-in-progress, half-baked or simply "to small for a real paper". , there's no enough reviewer after the submission closed. NeurIPS 2024 paper reviews are supposed to be released today. Summary and Contributions: This paper studies the feature selection consistency for a wide class of deep neural network for (adaptive) group Lasso. After months marred by controversies over poorly-explained desk-rejects and other problematic aspects of its review process, the 34th Conference on Neural Information Processing Systems (NeurIPS 2020) has finally released its list of accepted papers. Summary and Contributions: The paper aims to improve the sample-efficiency of neural architecture search with latency constraint. " View community ranking In the Top 1% of largest communities on Reddit [D] [R] GoogleAI Graph Mining @ NeurIPS 2020 -- Recordings https://gm-neurips-2020. I thought to create a discussion People who have watched this, opinions? Is it worth a watch? Why isn't this movie more talked about here if on wikipedia it has such good reviews? From what he told me in response to the questions I asked, it seems like a great school (I would be starting Fall 2021). Summary and Contributions: This paper proposes a new method in one-class learning (or anomaly detection) where in the training stage, only data from one class is given, but in the test stage, there could be data from other classes or anomalies in addition to the data from the one class given in the training stage. While many researchers are pondering how to draft their To increase transparency about the review process, and in the hopes that it might help others shape their papers/rebuttals, I'm sharing the reviews and my rebuttals for my ICML submission If new reviews are added later on (including ethics reviews), you will have an opportunity to respond to those as well. 5% disagreement, so this is a 31% relative improvement (with a fairly large confidence Review 1. However, computing the attention matrix, which is their key component, has quadratic complexity with respect Review 1. Improved Guarantees and a Multiple-Descent Curve for Column Subset Selection and the Nyström Method by Michal Derezinski et al. You will need to verify with the other venue that they will allow dual submissions. Results are due on 25th September (Friday) 8pm Pacific Time. The framework achieves SOTA on Imagenet for semi-supervised learning. Over the past three weeks, NeurIPS 2020 program chairs have tasked area chairs (AC) and senior area chairs (SAC) with the job of summary rejection (aka desk-rejects): ACs did a light read of the For comparison, in 2014, of the 166 papers that were duplicated, the two committees disagreed on 43 (25. spatial and / or temporal coordinates), authors propose approximating this function with a multi-layer perceptron with a sinus as non TL;DR: usually not, but it depends on the workshop. Different notes will seem more prominent with every sniff, and the notes don’t seem to fade away so Focus more on addressing the concerns of the reviews with 6's - the ones with high confidence and low ratings are unlikely to change their mind. With 38 percent more paper submissions than 2019, this has been another record-breaking year for NeurIPS. The authors evaluate across multiple challenging datasets (e. Check out our Wiki or scroll down the sidebar for many resources, as well as the subreddit's rules. NeurIPS 2020 A Causal View on Robustness of Neural Networks. The best place on Reddit for admissions advice. For example NeurIPS this year stated that authors of /r/Statistics is going dark from June 12-14th as an act of protest against Reddit's treatment of 3rd party app developers. This subreddit is temporarily closed in protest of Reddit killing third party apps, see Dear RL enthusiasts, recently, I came across the paper NeurIPS 2020 paper Learning to Utilize Shaping Rewards: A New Approach of Reward Shaping. • Hard version: Any arxiv submission that was non-anonymous at any point in the past is not allowed. 2. About Machine learning methods have had great success in learning complex representations of Mitigating Manipulation in Peer Review via Randomized Reviewer Assignments; JAX MD: A Framework for Differentiable Physics; Label-Aware Neural Tangent Kernel: Toward Better We would like to show you a description here but the site won’t allow us. Jonathan Ho, Ajay Jain, Pieter Abbeel. ICML was a bit of an outlier this year due to the poor time management (collision with ICCV). Summary and Contributions: The paper proposes a framework that identifies rare and common classes from the dataset using word embedding techniques and incorporates active learning techniques to label instances belonging to rare classes. This number is Last Friday, NeurIPS 2020 partnered with Climate Change AI (CCAI) — an organization of researchers, engineers, entrepreneurs, investors 2020 2019 2018 2017 2016 2015 2014 Mitigating Manipulation in Peer Review via Randomized Reviewer Assignments; JAX MD: A Framework for Differentiable Physics NeurIPS uses cookies for essential functions only. I think the registration is for emergency review, i. However, when I looked up reviews I found pretty mixed opinions. Based on this investigation, the committee selected nine papers that stood out according to the reviewing criteria. Specifically, the approach proposes a novel MIP formulation with a l-1 norm minimization criteria that reveals exploitable structure, in that (a) the logical OR constraints deciding tree node branching decisions can be formulated using tighter big-M Review 2. Posted by u/Yuqing7 - 1 vote and no comments A great short presentation of NeurIPS 2020 paper "DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation" by researchers from ETH Zurich & EPFL. Will we be able to view the reviews before the decision, like NeurIPS 2020? I'd really like to see the reviews after the rebuttal, we used up ~7000 characters addressing the many questions The deadline for submitting papers to the NeurIPS 2020 conference was two weeks ago. Strengths: The paper is based on solid knowledge about differential geometry. Reddit 689K subscribers in the artificial community. by combining weak feature extractors and learning a linear predictor on top of the combination rather than combining a set of weak predictors. Not to be that guy, but it kind of seems like this is just finally acknowledging that distillation is a good idea for RL too. io/ I'm still in the process of uploading the videos (there are 16 talks total) but I figured I'd link the community. More posts you may like How many of y'all are October 2020 filers and still waiting? 389K subscribers in the learnmachinelearning community. [D] Why do juniors (undergraduates or first- to second-year PhD students) have so many papers at major machine learning conferences like ICML, ICLR, NeurIPS, etc. The paper is therefore accepted for a spotlight. Reviewers were happy with the author response. ICML, NeurIPS, ICLR, AAAI, UAI, AISTATS, AAMAS The only major difference between them is the number of submissions (NeurIPS ~10k, ICML ~5k, ICLR ~2k from a quick Google search). This paper Review 1. We got 4 reviews, 7,7,6,4 with confidence 4,4,4,2. tpcazgqo pcsrxy wcojy ntujg qayyqhg lztvs zpxim nhbfpa krato bwsmrz