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conference on neural information processing systems wikipedia jump to content main menu main menu move to sidebar hide navigation main page contents current events random article about wikipedia contact us contribute help learn to edit community portal recent changes upload file special pages search search appearance donate create account log in personal tools donate create account log in contents move to sidebar hide top 1 history 2 topics toggle topics subsection 2 1 named lectures 3 neurips consistency experiment 4 locations 5 see also 6 references 7 external links toggle the table of contents conference on neural information processing systems 11 languages العربية català deutsch español فارسی français 한국어 português ไทย tiếng việt 中文 edit links article talk english read edit view history tools tools move to sidebar hide actions read edit view history general what links here related changes upload file permanent link page information cite this page get shortened url switch to legacy parser print export download as pdf printable version in other projects abstract wikipedia wikidata item appearance move to sidebar hide from wikipedia the free encyclopedia machine learning and computational neuroscience conference conference on neural information processing systems abbreviation neurips formerly nips discipline machine learning statistics artificial intelligence computational neuroscience publication details history 1987 present frequency annual website neurips cc the conference on neural information processing systems abbreviated as neurips and formerly nips is a machine learning and computational neuroscience conference held annually in december along with iclr and icml it is one of the three primary conferences of high impact in machine learning and artificial intelligence research 1 the conference includes three days of invited talks along with oral and poster presentations of refereed papers followed by two days of workshops and competitions history edit part of a series on machine learning and data mining paradigms supervised learning unsupervised learning semi supervised learning self supervised learning reinforcement learning transfer learning meta learning few shot learning zero shot learning online learning batch learning curriculum learning rule based learning neuro symbolic ai neuromorphic engineering quantum machine learning problems classification generative modeling regression clustering dimensionality reduction density estimation anomaly detection data cleaning automl association rules semantic analysis structured prediction feature engineering feature learning learning to rank grammar induction ontology learning multimodal learning supervised learning classification regression apprenticeship learning decision trees ensembles bagging boosting random forest k nn linear regression naive bayes artificial neural networks logistic regression perceptron relevance vector machine rvm support vector machine svm clustering birch cure hierarchical k means fuzzy expectation maximization em dbscan optics mean shift dimensionality reduction factor analysis exploratory cca ica lda nmf pca pgd t sne sdl structured prediction graphical models bayes net conditional random field hidden markov anomaly detection ransac k nn local outlier factor isolation forest neural networks autoencoder deep learning feedforward neural network recurrent neural network lstm gru esn reservoir computing boltzmann machine restricted gan diffusion model som convolutional neural network u net lenet alexnet deepdream neural field neural radiance field physics informed neural networks transformer vision mamba spiking neural network memtransistor electrochemical ram ecram reinforcement learning q learning policy gradient sarsa temporal difference td multi agent self play learning with humans active learning crowdsourcing human in the loop mechanistic interpretability rlhf model diagnostics coefficient of determination confusion matrix learning curve roc curve mathematical foundations kernel machines bias variance tradeoff computational learning theory empirical risk minimization occam learning pac learning statistical learning vc theory topological deep learning journals and conferences aaai cvpr eccv ecml pkdd emnlp iccv neurips icml iclr ijcai ml jmlr related articles glossary of artificial intelligence list of datasets for machine learning research list of datasets in computer vision and image processing outline of machine learning v t e the neurips meeting was first proposed in 1986 at the annual invitation only snowbird meeting on neural networks for computing organized by the california institute of technology and bell laboratories neurips was designed as a complementary open interdisciplinary meeting for researchers exploring biological and artificial neural networks reflecting this multidisciplinary approach neurips began in 1987 with information theorist ed posner as the conference president and learning theorist yaser abu mostafa as program chairman 2 research presented in the early neurips meetings included a wide range of topics from efforts to solve purely engineering problems to the use of computer models as a tool for understanding biological nervous systems since then the biological and artificial systems research streams have diverged and recent neurips proceedings have been dominated by papers on machine learning artificial intelligence and statistics from 1987 until 2000 neurips was held in denver united states since then the conference was held in vancouver canada 2001 2010 granada spain 2011 and lake tahoe united states 2012 2013 in 2014 and 2015 the conference was held in montreal canada in barcelona spain in 2016 in long beach united states in 2017 in montreal canada in 2018 and vancouver canada in 2019 reflecting its origins at snowbird utah the meeting was accompanied by workshops organized at a nearby ski resort up until 2013 when it outgrew ski resorts the first neurips conference was sponsored by the ieee 3 the following neurips conferences have been organized by the neurips foundation established by ed posner terrence sejnowski has been the president of the neurips foundation since posner s death in 1993 the board of trustees consists of previous general chairs of the neurips conference 4 the first proceedings was published in book form by the american institute of physics in 1987 and was entitled neural information processing systems 5 then the proceedings from the following conferences have been published by morgan kaufmann 1988 1993 mit press 1994 2004 and curran associates 2005 present under the name advances in neural information processing systems the conference was originally abbreviated as nips by 2018 a few commentators were criticizing the abbreviation as encouraging sexism clarification needed due to its association with the word nipples and as being a slur against japanese the board changed the abbreviation to neurips in november 2018 6 topics edit judea pearl at his poster at the 2013 conference on neural information processing systems along with machine learning and neuroscience other fields represented at neurips include cognitive science psychology computer vision statistical linguistics and information theory over the years neurips became a premier conference on machine learning and although the neural in the neurips acronym had become something of a historical relic the resurgence of deep learning 7 in neural networks since 2012 fueled by faster computers and big data has led to achievements in speech recognition object recognition in images image captioning language translation and world championship performance in the game of go based on neural architectures inspired by the hierarchy of areas in the visual cortex convnet and reinforcement learning inspired by the basal ganglia temporal difference learning notable affinity groups have emerged from the neurips conference and displayed diversity including black in ai in 2017 queer in ai in 2016 and others 8 9 named lectures edit in addition to invited talks and symposia neurips also organizes two named lectureships to recognize distinguished researchers the neurips board introduced the posner lectureship in honor of neurips founder ed posner two posner lectures were given each year up to 2015 10 past lecturers have included 2010 josh tenenbaum and michael i jordan 2011 rich sutton and bernhard schölkopf 2012 thomas dietterich and terry sejnowski 2013 daphne koller and peter dayan 2014 michael kearns and john hopfield 2015 zoubin ghahramani and vladimir vapnik 2016 yann lecun 2017 john platt 2018 joëlle pineau 2019 yoshua bengio 2020 christopher bishop 2021 peter bartlett in 2015 the neurips board introduced the breiman lectureship to highlight work in statistics relevant to conference topics the lectureship was named for statistician leo breiman who served on the neurips board from 1994 to 2005 11 past lecturers have included 2015 robert tibshirani 2016 susan holmes 2017 yee whye teh 2018 david spiegelhalter 2019 bin yu 2020 marloes maathuis 2021 gabor lugosi 2022 emmanuel candes 2023 susan murphy 2024 arnaud doucet neurips consistency experiment edit in nips 2014 the program chairs duplicated 10 of all submissions and sent them through separate reviewers to evaluate randomness in the reviewing process 12 several researchers interpreted the result 13 14 regarding whether the decision in nips is completely random or not john langford writes clearly not a purely random decision would have arbitrariness of 78 it is however quite notable that 60 is much closer to 78 than 0 he concludes that the result of the reviewing process is mostly arbitrary 15 in neurips 2021 the program chairs repeated the 2014 experiment and found similar levels of review inconsistency 23 of duplicated submissions received different accept reject decisions and 50 6 of accepted papers would have been rejected under re review 16 17 locations edit 1987 2000 denver colorado united states 2001 2010 vancouver british columbia canada 2011 granada spain 2012 2013 stateline nevada united states 2014 2015 montréal quebec canada 2016 barcelona spain 18 2017 long beach california united states 19 2018 montréal quebec canada 20 2019 vancouver british columbia canada 21 2020 vancouver british columbia canada 21 virtual conference 2021 virtual conference 2022 2023 new orleans louisiana united states 22 23 2024 vancouver british columbia canada 2025 san diego california united states and mexico city mexico 2026 sydney new south wales australia with satellite events in atlanta and paris see also edit aaai conference on artificial intelligence aaai computational and systems neuroscience cosyne international conference on computational intelligence methods for bioinformatics and biostatistics cibb international conference on learning representations iclr international conference on machine learning icml references edit artificial intelligence google scholar metrics scholar google es retrieved 2024 07 10 the first neurips sponsors of the first neurips 2024 board the first neurips proceedings else holly 19 november 2018 ai conference widely known as nips changes its controversial acronym nature news doi 10 1038 d41586 018 07476 w retrieved 17 february 2021 the deep learning revolution mit press october 2018 isbn 9780262038034 retrieved 30 april 2020 how one conference embraced diversity nature 564 7735 161 162 2018 12 12 doi 10 1038 d41586 018 07718 x pmid 31123357 s2cid 54481549 why you can t just take pictures at the queer in ai workshop at neurips venturebeat 2019 12 10 retrieved 2021 12 22 24th annual conference on neural information processing systems nips vancouver 2010 videolectures videolectures net videolectures net retrieved 17 july 2017 nips 2015 conference pdf neural information processing systems foundation 7 december 2015 p 10 retrieved 17 july 2017 lawrence neil 2014 12 16 the nips experiment inverse probability archived from the original on 2015 04 03 retrieved 2015 03 31 fortnow lance 2014 12 18 the nips experiment computational complexity retrieved 2015 03 31 hardt moritz 2014 12 15 the nips experiment moody rd retrieved 2015 03 31 langford john 2015 03 09 the nips experiment communications of the acm retrieved 2015 03 31 the neurips 2021 consistency experiment neurips blog 2021 12 08 retrieved 2026 05 19 cortes corinna lawrence neil d 2021 09 20 inconsistency in conference peer review revisiting the 2014 neurips experiment arxiv 2109 09774 cs dl nips cc 2016 conference nips cc 2017 conference nips cc 2018 conference 1 2 vancouver named neurips 2019 2020 host as visa issues continue to plague the ai conference 5 december 2018 nips cc 2022 conference neurips 2023 external links edit 2019 conference neurips proceedings nips 2011 video lectures nips 2012 video lectures video journal of machine learning abstracts volume 3 v t e differentiable computing general differentiable programming information geometry statistical manifold automatic differentiation neuromorphic computing pattern recognition ricci calculus computational learning theory inductive bias hardware ipu tpu vpu memristor spinnaker software libraries tensorflow pytorch keras scikit learn theano jax flux jl mindspore portals computer programming technology authority control databases international viaf gnd national united states retrieved from https en wikipedia org w index php title conference_on_neural_information_processing_systems oldid 1364897693 categories recurring events established in 1987 1987 establishments in colorado artificial intelligence conferences neuroscience conferences computational neuroscience signal processing conferences international conferences in canada hidden categories articles with short description short description is different from wikidata wikipedia articles needing clarification from august 2025 this page was last edited on 19 july 2026 at 03 54 utc page was rendered with parsoid text is 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