ACSci/paper_meta · Datasets at Hugging Face

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ayBKRjGDEI	Differentially Private Hierarchical Clustering with Provable Approximation Guarantees	data/openreview_paper/ICML_2023_oral/ayBKRjGDEI//paper.pdf	61	27	[ { "authors": [ "Shiva Prasad Kasiviswanathan", "Kobbi Nissim", "Sofya Raskhodnikova", "Adam Smith" ], "doi": "10.1007/978-3-642-36594-2_26", "ref_id": "b37", "title": "Analyzing Graphs with Node Differential Privacy", "year": "2013" }, { "authors": [ "An...	[ { "authors": [ "A Agarwal", "S Khanna", "H Li", "P Patil" ], "doi": "", "ref_id": "b0", "title": "Sublinear algorithms for hierarchical clustering", "year": "2022" }, { "authors": [ "R Arora", "J Upadhyay" ], "doi": "", "ref_id": "b1", ...	[ "fa2f0f3760db598f", "a17c645d3ff160b9", "04741b0414ee99dc", "3307bce4c069789b", "2dc7f23bbb9c5f1c", "2810c40af3bbd53b", "5d65b45a5a400ebc", "dc12e618800d2c1c", "e08071ba035b67f8", "0418bc13b9b99902", "9009fdb89166ac06", "d480d1699a13a0ba", "0657f4769776989d", "8ca672d841e344b7", "4c18a1e...	[ "9009fdb89166ac06", "0657f4769776989d", "4bbf5ac7b1ea59cb", "8215de6d2fe2b4dd", "1b4395952f8afebb", "c12d783b24cff61d", "0129d9dbb15a08fb", "e08071ba035b67f8", "5d65b45a5a400ebc", "245032ecd61be161", "ee6702d920cf7d7f", "ccefd7f65017e499", "0418bc13b9b99902", "5f749504babb9be5", "a14efa6...
nS2x7LOKZk	Are labels informative in semi-supervised learning? Estimating and leveraging the missing-data mechanism.	data/openreview_paper/ICML_2023_oral/nS2x7LOKZk//paper.pdf	44	0	[]	[ { "authors": [ "D Ahfock", "G J Mclachlan" ], "doi": "", "ref_id": "b0", "title": "On missing label patterns in semi-supervised learning", "year": "2019" }, { "authors": [ "S Armato", "G Mclennan", "M Mcnitt-Gray", "C Meyer", "A Reeves", ...	[]	[ "d77d907412430276", "b36a42c1196bc1df", "95f4c334a583c90f", "d9cc705ab09783e4", "41d73f294532c611", "30c10ebd10dba633", "86dd1c289fd7d656", "1cb4a92437f5ebba", "15b0fc76be07ddf7", "eff4cf692532c430", "f056ca161136cee3", "039875c530ff3106", "cecf7080edd0362e", "d6acacd6286bbf9a", "92b23dc...
Ovu1horBiZ	Reinforcement Learning from Passive Data via Latent Intentions	data/openreview_paper/ICML_2023_oral/Ovu1horBiZ//paper.pdf	38	19	[ { "authors": [ "B Baker", "I Akkaya", "P Zhokhov", "J Huizinga", "J Tang", "A Ecoffet", "B Houghton", "R Sampedro", "J Clune" ], "doi": "", "ref_id": "b1", "title": "Video pretraining (vpt): Learning to act by watching unlabeled online videos...	[ { "authors": [ "R Agarwal", "D Schuurmans", "M Norouzi" ], "doi": "", "ref_id": "b0", "title": "An optimistic perspective on offline reinforcement learning", "year": "2020" }, { "authors": [ "B Baker", "I Akkaya", "P Zhokhov", "J Huizinga", ...	[ "c7b9b84d363b94d0", "fe6b5113364e16e4", "a614ea64acbaed6b", "3f60fc051117fd13", "4af664e88032de1f", "6e03d13761ce8245", "3cdf97f816ef62eb", "2586fba4858ef4bd", "0b2c7e890fb504c7", "af42b80e668921f1", "977e310fb9c6a187", "7c1c7942c7633715", "299110a60037b28a", "e3cdcb73f542bf72", "4c07dde...	[ "e6bc04e2b9f585eb", "c7b9b84d363b94d0", "4c07dde14727b246", "1779c10d7c0791b6", "a614ea64acbaed6b", "4af664e88032de1f", "7ce06ef07fae1dba", "af42b80e668921f1", "bb5271f9bbc0f3c6", "ba54f89e2f6a7573", "00ed24be71a08dca", "61291a410e445705", "da7645d7893d4e2e", "e4ecda062a6f7fea", "977e310...
jwy77xkyPt	Information-Theoretic State Space Model for Multi-View Reinforcement Learning	data/openreview_paper/ICML_2023_oral/jwy77xkyPt//paper.pdf	54	23	[ { "authors": [ "R Jangir", "N Hansen", "S Ghosal", "M Jain", "X Wang" ], "doi": "", "ref_id": "b19", "title": "Look closer: Bridging egocentric and third-person views with transformers for robotic manipulation", "year": "2022" }, { "authors": [ "H ...	[ { "authors": [ "L N Alegre", "Sumo-Rl" ], "doi": "", "ref_id": "b0", "title": "", "year": "2019" }, { "authors": [ "N Barhate" ], "doi": "", "ref_id": "b1", "title": "Minimal pytorch implementation of proximal policy optimization", "year": "2021"...	[ "8fff3905fe466601", "c6f8d617c54d9f5c", "2da7ea3943dfa7e0", "4254a56c70c407bf", "cb391135924aea4a", "3877f56420c0da0e", "3594142f5c0a6833", "55a2b47b216e7ebd", "0f16825e4c6f9ca0", "0fceb21a4c06f2be", "749b9701720b857a", "096f85e900249d10", "de344f36fde78e71", "f6557c75fa31a474", "836674a...	[ "d91fcfbe809e0c84", "55a2b47b216e7ebd", "67d1539ac135d7be", "bf7fd420fa3d0400", "f6557c75fa31a474", "eeb8725a8b07d0c6", "7177da699e515d8c", "0f16825e4c6f9ca0", "3594142f5c0a6833", "de344f36fde78e71", "f243be7cafb1138b", "e436392273aa8135", "b0a73948120acbf8", "fd0b5633f25b60dd", "dcf2220...
CXkJh2ITml	Bayes-optimal Learning of Deep Random Networks of Extensive-width	data/openreview_paper/ICML_2023_oral/CXkJh2ITml//paper.pdf	65	33	[ { "authors": [ "J Hron", "Y Bahri", "R Novak", "J Pennington", "J N Sohl-Dickstein" ], "doi": "", "ref_id": "b27", "title": "Exact posterior distributions of wide bayesian neural networks", "year": "2020" }, { "authors": [ "M Advani", "S Gang...	[ { "authors": [ "M Advani", "S Ganguli" ], "doi": "", "ref_id": "b0", "title": "Statistical mechanics of optimal convex inference in high dimensions", "year": "2016" }, { "authors": [ "S Ariosto", "R Pacelli", "M Pastore", "F Ginelli", "M Gher...	[ "cf7d586ae469dd00", "0e158c91b804a04d", "c367c363fca7bd49", "82fffb9b5cde4dd5", "72783db1e14e50ca", "92bd5ef627702ef0", "c75cac3874187b31", "f0a48c568a56cbfb", "190637669357c42c", "82d7fb29f66f4df6", "1baf5faf0f0dfd35", "7fc7b79353c8544f", "bd6787d9469a816e", "7a23e990c9d6b439", "a30b277...	[ "0e158c91b804a04d", "7b4be9698e06a486", "864214022edca181", "523dc860997891e5", "82d7fb29f66f4df6", "190637669357c42c", "7fc7b79353c8544f", "3e69ef05e26e4b5f", "559fc479d169c59b", "bd6787d9469a816e", "61eafc038777da91", "3772de01c471a48a", "2e3e7e8dbd6f9617", "4c6be1beedb04ef2", "82fffb9...
O1j4uFuSVW	Adapting to game trees in zero-sum imperfect information games	data/openreview_paper/ICML_2023_oral/O1j4uFuSVW//paper.pdf	57	27	[ { "authors": [ "O Tammelin" ], "doi": "10.1063/pt.5.028530", "ref_id": "b45", "title": "Preprint repository arXiv achieves milestone million uploads", "year": "2014" }, { "authors": [ "J V Romanovsky" ], "doi": "10.1016/0011-7471(63)90317-6", "ref_id": "b39", ...	[ { "authors": [ "J D Abernethy", "C Lee", "A Tewari" ], "doi": "", "ref_id": "b0", "title": "Fighting bandits with a new kind of smoothness", "year": "2015" }, { "authors": [ "Peter Auer", "Nicolò Cesa-Bianchi", "Yoav Freund", "Robert E Schapi...	[ "3f6b3f7918784a71", "6c4ec217d0c82261", "c1f2146d9bdce91f", "e6c6b596167894a8", "6c73389a940b86f6", "f8d72c6f22df3935", "d07819811d5300f4", "da26e152d890308b", "d1d89e952b603930", "09d333e5fab31827", "e553b2fb7a69f60c", "d98e633a99e7567b", "87c17ae81b89012c", "deaa60a5ad88dac4", "7a954d7...	[ "d0e853a6356d966f", "09d333e5fab31827", "8b16434af0b6d1e0", "c27b3e365f55765e", "d1d89e952b603930", "cd466969b0ed06cb", "6a993483e870bca5", "7fae944fbd688e65", "deaa60a5ad88dac4", "2789278b5dc911da", "8f2a4eeaa6ef3afb", "c27b3e365f55765e", "da26e152d890308b", "e6c6b596167894a8", "9558443...
qlAtMW9jIh	Uncertain Evidence in Probabilistic Models and Stochastic Simulators	data/openreview_paper/ICML_2023_oral/qlAtMW9jIh//paper.pdf	44	15	[ { "authors": [ "J M Hammersley", "D C Handscomb" ], "doi": "10.1007/978-94-009-5819-7", "ref_id": "b14", "title": "Monte Carlo Methods", "year": "1964" }, { "authors": [ "Nicholas Metropolis", "Arianna W Rosenbluth", "Marshall N Rosenbluth", "Augus...	[ { "authors": [ "A G Baydin", "T A Le", "Pyprob" ], "doi": "", "ref_id": "b0", "title": "", "year": "2018" }, { "authors": [ "Atilim Güneş Baydin", "Lei Shao", "Wahid Bhimji", "Lukas Heinrich", "Lawrence Meadows", "Jialin Liu", ...	[ "e02ed37c0129f86d", "bb72e922c3874682", "a25bb13e7c0d8fbc", "b3679f83ac940086", "cf4e58b44120081c", "d8d2450d41e67a79", "39c1b4a8ef659edd", "39ea1fab345a98b5", "3ec15f0ca0113c19", "b745656784f4daca", "f11d9ef1a9ab164c", "cfaa01ca126f62f2", "05c6ade311ddf6f5", "d71a3fd7e7b1ad50", "c85312c...	[ "b4456ce6b99cecfe", "c52cebb90e95c77d", "7e13ecdaf7b05cda", "ae9982e772d53566", "810f2ca1fa5f7d85", "fa0d5c0037526464", "39ea1fab345a98b5", "bd4a7365db59e154", "18e8a7cba515330c", "3ec15f0ca0113c19", "39c1b4a8ef659edd", "2fdabc1743456e0b", "e59cd271c195cffe", "4227842e782ae43d", "e02ed37...
XAK3238obr	How Bad is Top-$K$ Recommendation under Competing Content Creators?	data/openreview_paper/ICML_2023_oral/XAK3238obr//paper.pdf	41	16	[ { "authors": [ "O Ben-Porat", "M Tennenholtz" ], "doi": "", "ref_id": "b5", "title": "A game-theoretic approach to recommendation systems with strategic content providers", "year": "2018" }, { "authors": [ "H Hotelling" ], "doi": "", "ref_id": "b16", ...	[ { "authors": [ "Peter Auer", "Nicolò Cesa-Bianchi", "Yoav Freund", "Robert E Schapire" ], "doi": "10.1137/s0097539701398375", "ref_id": "b0", "title": "The Nonstochastic Multiarmed Bandit Problem", "year": "2002" }, { "authors": [ "M Balog", "N Tri...	[ "6a22a3fb165fca93", "4c64de279f325127", "2e716ab3a8d7da09", "4431a2475550864d", "00bffdfb79709b4c", "2a5b31ecb23c4fd6", "e642cc1db745efde", "e47bad6b5fd0d5f9", "75630e6760fb8161", "c89fb1f481330f4c", "1413246247962b62", "bc4300482288273e", "f225bfff569580ab", "bacc64d2dcaee9fa", "95016d7...	[ "bdc6896a51803109", "90ecfcdcc280de79", "2a5b31ecb23c4fd6", "1413246247962b62", "d8c205b097dad989", "6a22a3fb165fca93", "00bffdfb79709b4c", "e642cc1db745efde", "66594edd1f1f6204", "e47bad6b5fd0d5f9", "95016d7006d07d74", "5533a592605fcf56", "b5902fb599653d58", "f8c83ade0cc5dbf3", "0373aac...
6rlGbYv4bT	Weighted Flow Diffusion for Local Graph Clustering with Node Attributes: an Algorithm and Statistical Guarantees	data/openreview_paper/ICML_2023_oral/6rlGbYv4bT//paper.pdf	32	0	[]	[ { "authors": [ "Emmanuel Abbe", "Jianqing Fan", "Kaizheng Wang" ], "doi": "10.1214/22-aos2196", "ref_id": "b0", "title": "An ℓp theory of PCA and spectral clustering", "year": "2022" }, { "authors": [ "Z Allen-Zhu", "L Silvio", "S M Vahab" ], ...	[]	[ "5b198d02e38f0f5d", "30833bbb9c36fa56", "eeb270af265c4676", "7d8b0211aee660e5", "b839f535e517fbc1", "87aaef71c0dcef00", "e1fae0f74ea3f192", "39cc58e479d922bc", "0d9fa409bd9261ef", "5ce67d3233196ace", "d996bd4bff42dc92", "281038f7734e9c54", "b9476ea2bc765c74", "b34815cdf3397edd", "35e5120...
DH11pt7S2t	Facial Expression Recognition with Adaptive Frame Rate based on Multiple Testing Correction	data/openreview_paper/ICML_2023_oral/DH11pt7S2t//paper.pdf	51	0	[]	[ { "authors": [ "N S Belova", "A V Savchenko" ], "doi": "", "ref_id": "b0", "title": "Statistical testing of segment homogeneity in classification of piecewise-regular objects", "year": "2015" }, { "authors": [ "Y Benjamini", "Y Hochberg" ], "doi": "", ...	[]	[ "f2907e2529494030", "8eb6c5da03f1cca9", "e0f095dcfc4256ef", "f426041f3a3a3b03", "a99e9cbc2f6b0c89", "c853657d862576b1", "695a9c9d98310c17", "59224b79bc0cea0d", "ddd750fc732203de", "a22bd8913aba417a", "00de840419364031", "6309baa59e2ab0b5", "46b493c90dca6684", "03a34f875e755776", "062f344...
Lhyy8H75KA	Scaling Vision Transformers to 22 Billion Parameters	data/openreview_paper/ICML_2023_oral/Lhyy8H75KA//paper.pdf	123	0	[]	[ { "authors": [ "Samira Abnar", "Willem Zuidema" ], "doi": "10.18653/v1/2020.acl-main.385", "ref_id": "b0", "title": "Quantifying Attention Flow in Transformers", "year": "2020" }, { "authors": [ "S Abnar", "M Dehghani", "B Neyshabur", "H Sedghi" ...	[]	[ "1fa041a12ad52a74", "7377ba10903cdcd3", "7e63d79190b6b37b", "7d291c7124de8053", "a2e8778005b06418", "3cd59af8a76471c0", "4622086a4ae816d4", "2d2e4c86b60a6d69", "43490d6251009fc3", "8fd909b167d50654", "e8c8290c83e9c957", "93ba50b1acee2748", "2986fa811b91d3c6", "3a3c326fefa5cf15", "9b99e48...
cjWHQpEqaZ	Robustly Learning a Single Neuron via Sharpness	data/openreview_paper/ICML_2023_oral/cjWHQpEqaZ//paper.pdf	14	0	[]	[ { "authors": [ "P Auer", "M Herbster", "M K Warmuth" ], "doi": "10.7551/mitpress/1120.003.0002", "ref_id": "b0", "title": "NIPS Committees", "year": "1995" }, { "authors": [ "P Awasthi", "A Tang", "A Vijayaraghavan" ], "doi": "", "ref_i...	[]	[ "a30842c14b91a707", "24b9be279f629761", "5078e5f0ab1c9c90", "b97a06db93f168bf", "311c5ce3c72c8bdc", "8c7b157080617602", "728956b8f0817f60", "acc2a340ccac4069", "aad2f109827330b1", "a9687647df94c0d3", "a758d04b4b524714", "719a2eb9421d30e5", "582797a8399d1780", "b1374bc2fa704b30" ]
y6gg68aGiq	Tighter Information-Theoretic Generalization Bounds from Supersamples	data/openreview_paper/ICML_2023_oral/y6gg68aGiq//paper.pdf	57	1	[ { "authors": [ "T M Cover", "J A Thomas" ], "doi": "10.1002/9780470048146.scard", "ref_id": "b5", "title": "Wiley Series in Telecommunications and Signal Processing", "year": "2006" } ]	[ { "authors": [ "A Asadi", "E Abbe", "S Verdú" ], "doi": "", "ref_id": "b0", "title": "Chaining mutual information and tightening generalization bounds", "year": "2018" }, { "authors": [ "P L Bartlett", "S Mendelson" ], "doi": "", "ref_id": "b...	[ "6124cec145709029" ]	[ "639ad34b7a2e2fb1", "ab00837062707a69", "8212ce60777d4153", "496c21d8614e7242", "34cd72d6c8c58ab1", "6124cec145709029", "58152847cbff932c", "7c3cb27d0975ea4f", "c724872f81ca6d4c", "1f995ce76d51666e", "dc2e94e81a9286fb", "8b6b3020f83fa0d7", "a1a522458136e513", "410abd68440f1549", "5a1dc2a...
wLAMOoL0KD	Rockmate: an Efficient, Fast, Automatic and Generic Tool for Re-materialization in PyTorch	data/openreview_paper/ICML_2023_oral/wLAMOoL0KD//paper.pdf	22	16	[ { "authors": [ "Minsoo Rhu", "Natalia Gimelshein", "Jason Clemons", "Arslan Zulfiqar", "Stephen W Keckler" ], "doi": "10.1109/micro.2016.7783721", "ref_id": "b20", "title": "vDNN: Virtualized deep neural networks for scalable, memory-efficient neural network design"...	[ { "authors": [ "Sanjith Athlur", "Nitika Saran", "Muthian Sivathanu", "Ramachandran Ramjee", "Nipun Kwatra" ], "doi": "10.1145/3492321.3519584", "ref_id": "b0", "title": "Varuna", "year": "2022" }, { "authors": [ "O Beaumont", "L Eyraud-Duboi...	[ "5df67bbbe3903e48", "7311cd489fc2e7b1", "ac8f15e0157fa521", "708adf3eb66e4064", "a1fc3aa6d853ea2e", "7960370b0a6920cc", "2fd9d1d07b8aaa5e", "92ed90c52c5e1380", "9f6d20e9ab5ecba8", "96c5cec3949de62b", "dc96fcc999152b3f", "cff6be8771d0dc3a", "b330e66ce62e15dd", "e1973afebfc423b3", "7cc4370...	[ "96c5cec3949de62b", "a0feeb6dd6d6b8c3", "c61032fb8dc5b975", "c78a0392ee43e743", "34350457288df264", "6d8e7db3aa5b301e", "d3730a1df4eab6ac", "476342b3add89ac9", "9f6d20e9ab5ecba8", "708adf3eb66e4064", "92ed90c52c5e1380", "dc96fcc999152b3f", "ac8f15e0157fa521", "b330e66ce62e15dd", "7311cd4...

ayBKRjGDEI

Differentially Private Hierarchical Clustering with Provable Approximation Guarantees

data/openreview_paper/ICML_2023_oral/ayBKRjGDEI//paper.pdf

61

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[ { "authors": [ "Shiva Prasad Kasiviswanathan", "Kobbi Nissim", "Sofya Raskhodnikova", "Adam Smith" ], "doi": "10.1007/978-3-642-36594-2_26", "ref_id": "b37", "title": "Analyzing Graphs with Node Differential Privacy", "year": "2013" }, { "authors": [ "An...

[ { "authors": [ "A Agarwal", "S Khanna", "H Li", "P Patil" ], "doi": "", "ref_id": "b0", "title": "Sublinear algorithms for hierarchical clustering", "year": "2022" }, { "authors": [ "R Arora", "J Upadhyay" ], "doi": "", "ref_id": "b1", ...

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nS2x7LOKZk

Are labels informative in semi-supervised learning? Estimating and leveraging the missing-data mechanism.

data/openreview_paper/ICML_2023_oral/nS2x7LOKZk//paper.pdf

44

0

[]

[ { "authors": [ "D Ahfock", "G J Mclachlan" ], "doi": "", "ref_id": "b0", "title": "On missing label patterns in semi-supervised learning", "year": "2019" }, { "authors": [ "S Armato", "G Mclennan", "M Mcnitt-Gray", "C Meyer", "A Reeves", ...

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Ovu1horBiZ

Reinforcement Learning from Passive Data via Latent Intentions

data/openreview_paper/ICML_2023_oral/Ovu1horBiZ//paper.pdf

38

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[ { "authors": [ "R Agarwal", "D Schuurmans", "M Norouzi" ], "doi": "", "ref_id": "b0", "title": "An optimistic perspective on offline reinforcement learning", "year": "2020" }, { "authors": [ "B Baker", "I Akkaya", "P Zhokhov", "J Huizinga", ...

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Information-Theoretic State Space Model for Multi-View Reinforcement Learning

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Bayes-optimal Learning of Deep Random Networks of Extensive-width

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Adapting to game trees in zero-sum imperfect information games

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Uncertain Evidence in Probabilistic Models and Stochastic Simulators

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How Bad is Top-$K$ Recommendation under Competing Content Creators?

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Weighted Flow Diffusion for Local Graph Clustering with Node Attributes: an Algorithm and Statistical Guarantees

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Facial Expression Recognition with Adaptive Frame Rate based on Multiple Testing Correction

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Scaling Vision Transformers to 22 Billion Parameters

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Robustly Learning a Single Neuron via Sharpness

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Tighter Information-Theoretic Generalization Bounds from Supersamples

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Rockmate: an Efficient, Fast, Automatic and Generic Tool for Re-materialization in PyTorch

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