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Since 2008, after the proposal of a Bitcoin electronic cash system, Bitcoin has fundamentally changed the economic system over the last decade.
A mathematical theory of communication
Claude E Shannon · 1948
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The talking stone
Isaac Asimov · 1955
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Terminator
James Cameron · 1984
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The space complexity of approximating the frequency moments
Noga Alon, Yossi Matias, and Mario Szegedy · 1996
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The matrix
Lana Wachowski and Lilly Wachowski · 1999
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A.i. artificial intelligence
Steven Spielberg · 2001
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Finding frequent items in data streams
Moses Charikar, Kevin Chen, and Martin Farach-Colton · 2002
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The american sign language lexicon video dataset
Vassilis Athitsos, Carol Neidle, Stan Sclaroff, Joan Nash, Alexandra Stefan, Quan Yuan, and Ashwin Thangali · 2008
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A unified architecture for natural language processing: Deep neural networks with multitask learning
Ronan Collobert and Jason Weston · 2008
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Iron man
Jon Favreau · 2008
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Bitcoin: A peer-to-peer electronic cash system
Satoshi Nakamoto · 2008
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Neural network based language models for highly inflective languages
Tomas Mikolov, Jiri Kopecky, Lukas Burget, Ondrej Glembek, et al · 2009
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Large scale distributed deep networks
Jeffrey Dean, Greg Corrado, Rajat Monga, Kai Chen, Matthieu Devin, Mark Mao, Marc’aurelio Ranzato, Andrew Senior, Paul Tucker, Ke Yang, et al · 2012
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The avengers
Joss Whedon · 2012
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Low-rank approximation and regression in input sparsity time
Kenneth L Clarkson and David P Woodruff · 2013
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Faster ridge regression via the subsampled randomized hadamard transform
Yichao Lu, Paramveer Dhillon, Dean P Foster, and Lyle Ungar · 2013
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Osnap: Faster numerical linear algebra algorithms via sparser subspace embeddings
Jelani Nelson and Huy L Nguyên · 2013
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Deanonymisation of clients in bitcoin p2p network
Alex Biryukov, Dmitry Khovratovich, and Ivan Pustogarov · 2014
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Optimal cur matrix decompositions
Christos Boutsidis and David P Woodruff · 2014
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The bitcoin p2p network
Joan Antoni Donet Donet, Cristina Pérez-Sola, and Jordi Herrera-Joancomarti · 2014
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Ex machina
Alex Garland · 2014
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On the privacy provisions of bloom filters in lightweight bitcoin clients
Arthur Gervais, Srdjan Capkun, Ghassan O Karame, and Damian Gruber · 2014
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Game-theoretic analysis of ddos attacks against bitcoin mining pools
Benjamin Johnson, Aron Laszka, Jens Grossklags, Marie Vasek, and Tyler Moore · 2014
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Coinshuffle: Practical decentralized coin mixing for bitcoin
Tim Ruffing, Pedro Moreno-Sanchez, and Aniket Kate · 2014
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Zerocash: Decentralized anonymous payments from bitcoin
Eli Ben Sasson, Alessandro Chiesa, Christina Garman, Matthew Green, Ian Miers, Eran Tromer, and Madars Virza · 2014
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Increasing anonymity in bitcoin
Amitabh Saxena, Janardan Misra, and Aritra Dhar · 2014
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Sok: Research perspectives and challenges for bitcoin and cryptocurrencies
Joseph Bonneau, Andrew Miller, Jeremy Clark, Arvind Narayanan, Joshua A Kroll, and Edward W Felten · 2015
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Federated optimization: Distributed optimization beyond the datacenter
Jakub Konečnỳ, Brendan McMahan, and Daniel Ramage · 2015
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Bitcoin mining pools: A cooperative game theoretic analysis
Yoad Lewenberg, Yoram Bachrach, Yonatan Sompolinsky, Aviv Zohar, and Jeffrey S Rosenschein · 2015
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Discovering bitcoin’s public topology and influential nodes
Andrew Miller, James Litton, Andrew Pachulski, Neal Gupta, Dave Levin, Neil Spring, Bobby Bhattacharjee, et al · 2015
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Privacy-preserving deep learning
Reza Shokri and Vitaly Shmatikov · 2015
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On the security and performance of proof of work blockchains
Arthur Gervais, Ghassan O Karame, Karl Wüst, Vasileios Glykantzis, Hubert Ritzdorf, and Srdjan Capkun · 2016
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Table filling multi-task recurrent neural network for joint entity and relation extraction
Pankaj Gupta, Hinrich Schütze, and Bernt Andrassy · 2016
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Enhancing bitcoin security and performance with strong consistency via collective signing
Eleftherios Kokoris Kogias, Philipp Jovanovic, Nicolas Gailly, Ismail Khoffi, Linus Gasser, and Bryan Ford · 2016
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Blockchain mining games
Aggelos Kiayias, Elias Koutsoupias, Maria Kyropoulou, and Yiannis Tselekounis · 2016
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Federated optimization: Distributed machine learning for on-device intelligence
Jakub Konečnỳ, H Brendan McMahan, Daniel Ramage, and Peter Richtárik · 2016
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Federated learning: Strategies for improving communication efficiency
Jakub Konečnỳ, H Brendan McMahan, Felix X Yu, Peter Richtárik, Ananda Theertha Suresh, and Dave Bacon · 2016
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Recurrent neural network for text classification with multi-task learning
Pengfei Liu, Xipeng Qiu, and Xuanjing Huang · 2016
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Cross-stitch networks for multi-task learning
Ishan Misra, Abhinav Shrivastava, Abhinav Gupta, and Martial Hebert · 2016
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Timing analysis for inferring the topology of the bitcoin peer-to-peer network
Till Neudecker, Philipp Andelfinger, and Hannes Hartenstein · 2016
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Unsupervised commonsense knowledge enrichment for domain-specific sentiment analysis
Nir Ofek, Soujanya Poria, Lior Rokach, Erik Cambria, Amir Hussain, and Asaf Shabtai · 2016
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Weighted low rank approximations with provable guarantees
Ilya Razenshteyn, Zhao Song, and David P Woodruff · 2016
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Approximation algorithms for ℓ 0 \ell_{0} -low rank approximation
Karl Bringmann, Pavel Kolev, and David Woodruff · 2017
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Algorithms for ℓ p \ell_{p} low-rank approximation
Flavio Chierichetti, Sreenivas Gollapudi, Ravi Kumar, Silvio Lattanzi, Rina Panigrahy, and David P Woodruff · 2017
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Differentially private federated learning: A client level perspective
Robin C Geyer, Tassilo Klein, and Moin Nabi · 2017
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Learning multiple tasks with multilinear relationship networks
Mingsheng Long, Zhangjie Cao, Jianmin Wang, and Philip S Yu · 2017
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Incentivizing blockchain forks via whale transactions
Kevin Liao and Jonathan Katz · 2017
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Fully-adaptive feature sharing in multi-task networks with applications in person attribute classification
Yongxi Lu, Abhishek Kumar, Shuangfei Zhai, Yu Cheng, Tara Javidi, and Rogerio Feris · 2017
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Communication-efficient learning of deep networks from decentralized data
Brendan McMahan, Eider Moore, Daniel Ramage, Seth Hampson, and Blaise Aguera y Arcas · 2017
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Optimal selfish mining strategies in bitcoin
Ayelet Sapirshtein, Yonatan Sompolinsky, and Aviv Zohar · 2017
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Low rank approximation with entrywise l1-norm error
Zhao Song, David P Woodruff, and Peilin Zhong · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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Enter the hydra: Towards principled bug bounties and { \{ Exploit-Resistant } \} smart contracts
Lorenz Breidenbach, Phil Daian, Florian Tramèr, and Ari Juels · 2018
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2018
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Sketching for kronecker product regression and p-splines
Huaian Diao, Zhao Song, Wen Sun, and David Woodruff · 2018
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Dandelion++ lightweight cryptocurrency networking with formal anonymity guarantees
Giulia Fanti, Shaileshh Bojja Venkatakrishnan, Surya Bakshi, Bradley Denby, Shruti Bhargava, Andrew Miller, and Pramod Viswanath · 2018
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Distributed learning of deep neural network over multiple agents
Otkrist Gupta and Ramesh Raskar · 2018
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Annotation artifacts in natural language inference data
Suchin Gururangan, Swabha Swayamdipta, Omer Levy, Roy Schwartz, Samuel R Bowman, and Noah A Smith · 2018
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Improving language understanding with unsupervised learning
Alec Radford, Karthik Narasimhan, Tim Salimans, and Ilya Sutskever · 2018
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Split learning for health: Distributed deep learning without sharing raw patient data
Praneeth Vepakomma, Otkrist Gupta, Tristan Swedish, and Ramesh Raskar · 2018
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Federated learning with non-iid data
Yue Zhao, Meng Li, Liangzhen Lai, Naveen Suda, Damon Civin, and Vikas Chandra · 2018
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Towards federated learning at scale: System design
Keith Bonawitz, Hubert Eichner, Wolfgang Grieskamp, Dzmitry Huba, Alex Ingerman, Vladimir Ivanov, Chloe Kiddon, Jakub Konečnỳ, Stefano Mazzocchi, Brendan McMahan, et al · 2019
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A near-optimal algorithm for approximating the john ellipsoid
Michael B Cohen, Ben Cousins, Yin Tat Lee, and Xin Yang · 2019
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The shutdown problem: how does a blockchain system end?
Mark Stuart Day · 2019
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Optimal sketching for kronecker product regression and low rank approximation
Huaian Diao, Rajesh Jayaram, Zhao Song, Wen Sun, and David Woodruff · 2019
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A structural probe for finding syntax in word representations
John Hewitt and Christopher D Manning · 2019
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Breaking the linear iteration cost barrier for some well-known conditional gradient methods using maxip data-structures
Zhaozhuo Xu, Zhao Song, and Anshumali Shrivastava · 2021
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Josh Alman, Jiehao Liang, Zhao Song, Ruizhe Zhang, and Danyang Zhuo · 2022
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Discovering latent knowledge in language models without supervision
Collin Burns, Haotian Ye, Dan Klein, and Jacob Steinhardt · 2022
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Palm: Scaling language modeling with pathways
Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, Maarten Bosma, Gaurav Mishra, Adam Roberts, Paul Barham, Hyung Won Chung, Charles Sutton, Sebastian Gehrmann, et al · 2022
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Nikita Ivkin, Daniel Rothchild, Enayat Ullah, Ion Stoica, Raman Arora, et al · 2019
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Multi-task deep neural networks for natural language understanding
Xiaodong Liu, Pengcheng He, Weizhu Chen, and Jianfeng Gao · 2019
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On the convergence of fedavg on non-iid data
Xiang Li, Kaixuan Huang, Wenhao Yang, Shusen Wang, and Zhihua Zhang · 2019
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Privacy-preserving federated brain tumour segmentation
Wenqi Li, Fausto Milletari, Daguang Xu, Nicola Rieke, Jonny Hancox, Wentao Zhu, Maximilian Baust, Yan Cheng, Sébastien Ourselin, M Jorge Cardoso, et al · 2019
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Solving empirical risk minimization in the current matrix multiplication time
Yin Tat Lee, Zhao Song, and Qiuyi Zhang · 2019
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Right for the wrong reasons: Diagnosing syntactic heuristics in natural language inference
R Thomas McCoy, Ellie Pavlick, and Tal Linzen · 2019
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Probing neural network comprehension of natural language arguments
Timothy Niven and Hung-Yu Kao · 2019
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Yichuan Deng, Zhao Song, and Omri Weinstein · 2022
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A sublinear adversarial training algorithm
Yeqi Gao, Lianke Qin, Zhao Song, and Yitan Wang · 2022
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A faster small treewidth sdp solver
Yuzhou Gu and Zhao Song · 2022
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Training overparametrized neural networks in sublinear time
Hang Hu, Zhao Song, Omri Weinstein, and Danyang Zhuo · 2022
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Blocks and chains: introduction to bitcoin, cryptocurrencies, and their consensus mechanisms
Aljosha Judmayer, Nicholas Stifter, Katharina Krombholz, and Edgar Weippl · 2022
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Federated transfer reinforcement learning for autonomous driving
Xinle Liang, Yang Liu, Tianjian Chen, Ming Liu, and Qiang Yang · 2022
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Large models are parsimonious learners: Activation sparsity in trained transformers
Zonglin Li, Chong You, Srinadh Bhojanapalli, Daliang Li, Ankit Singh Rawat, Sashank J Reddi, Ke Ye, Felix Chern, Felix Yu, Ruiqi Guo, et al · 2022
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Locating and editing factual associations in gpt
Kevin Meng, David Bau, Alex Andonian, and Yonatan Belinkov · 2022
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Training language models to follow instructions with human feedback
Long Ouyang, Jeffrey Wu, Xu Jiang, Diogo Almeida, Carroll Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, et al · 2022
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Dynamic tensor product regression
Aravind Reddy, Zhao Song, and Lichen Zhang · 2022
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Shaden Smith, Mostofa Patwary, Brandon Norick, Patrick LeGresley, Samyam Rajbhandari, Jared Casper, Zhun Liu, Shrimai Prabhumoye, George Zerveas, Vijay Korthikanti, et al · 2022
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Accelerating frank-wolfe algorithm using low-dimensional and adaptive data structures
Zhao Song, Zhaozhuo Xu, Yuanyuan Yang, and Lichen Zhang · 2022
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Speeding up sparsification using inner product search data structures
Zhao Song, Zhaozhuo Xu, and Lichen Zhang · 2022
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Faster algorithm for structured john ellipsoid computation
Zhao Song, Xin Yang, Yuanyuan Yang, and Tianyi Zhou · 2022
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Lamda: Language models for dialog applications
Romal Thoppilan, Daniel De Freitas, Jamie Hall, Noam Shazeer, Apoorv Kulshreshtha, Heng-Tze Cheng, Alicia Jin, Taylor Bos, Leslie Baker, Yu Du, et al · 2022
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Finding skill neurons in pre-trained transformer-based language models
Xiaozhi Wang, Kaiyue Wen, Zhengyan Zhang, Lei Hou, Zhiyuan Liu, and Juanzi Li · 2022
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Shuo Xie, Jiahao Qiu, Ankita Pasad, Li Du, Qing Qu, and Hongyuan Mei · 2022
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Geomlama: Geo-diverse commonsense probing on multilingual pre-trained language models
Da Yin, Hritik Bansal, Masoud Monajatipoor, Liunian Harold Li, and Kai-Wei Chang · 2022
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Speeding up optimizations via data structures: Faster search, sample and maintenance
Lichen Zhang · 2022
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Opt: Open pre-trained transformer language models
Susan Zhang, Stephen Roller, Naman Goyal, Mikel Artetxe, Moya Chen, Shuohui Chen, Christopher Dewan, Mona Diab, Xian Li, Xi Victoria Lin, et al · 2022
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Fast attention requires bounded entries
Josh Alman and Zhao Song · 2023
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Sparks of artificial general intelligence: Early experiments with gpt-4
Sébastien Bubeck, Varun Chandrasekaran, Ronen Eldan, Johannes Gehrke, Eric Horvitz, Ece Kamar, Peter Lee, Yin Tat Lee, Yuanzhi Li, Scott Lundberg, et al · 2023
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Pause giant ai experiments: An open letter, 2023
Yoshua Bengio · 2023
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A n \sqrt{n} passes streaming algorithm for solving bipartite matching exactly
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Algorithm and hardness for dynamic attention maintenance in large language models
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Optimal algorithms for linear algebra in the current matrix multiplication time
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Differentially private attention computation
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An iterative algorithm for rescaled hyperbolic functions regression
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Fast quantum algorithm for attention computation
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