Sejun Park*, Jaeho Lee*, Sangwoo Mo, Jinwoo Shin

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network magnitude-based pruning

Chen Gao, Yunpeng Chen, Si Liu and

Zhenxiong Tan, Shuicheng Yan

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adversarialnas, nas, gans, automl, image generation, generative model, high efficiency, neural architecture search, generative adversarial networks

Seth Gilbert, Gopal Pandurangan, Peter Robinson, Amitabh Trehan

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randomized algorithm, peer-to-peer network, self-repairing network, distributed protocol, expander

Solal Pirelli, George Candea

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Zhixiong Niu, Hong Xu, Peng Cheng and

Qiang Su, Yongqiang Xiong, Tao Wang, Dongsu Han, Keith Winstein

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Junjie He, Bohua Chen, Yinzhang Ding, Dongxiao Li

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Kwot Sin Lee, Ngoc-Trung Tran, Ngai-Man Cheung

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Wentao Cui, Yuhong Guo

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Algorithms, Multitask, Transfer, and Meta Learning

Jiayun Wang, Yubei Chen, Rudrasis Chakraborty, Stella X. Yu

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orthogonal convolution, orthogonality, regularization, filter redundancy, robustness, classification, retrieval, semi-supervised, gans, inpainting

Minki Cho, Sung-Hwan Lee, Chung-Kil Hur, Ori Lahav

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Relaxed Memory Concurrency, Operational Semantics, Compiler Optimizations, Data Race Freedom

Abdulazaz Albalawi, J. J. Garcia-Luna-Aceves

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Transport protocols, TCP, ICN, NDN, DNS

Jinyu Gu, Xinyue Wu, Wentai Li and

Nian Liu, Zeyu Mi, Yubin Xia, Haibo Chen

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Yu Zhang, Zhenghua Li, Min Zhang

Keywords Abstract Paper

Neural Parsing, deep era, context representation, direct operation

Michal Friedman, Erez Petrank, Pedro Ramalhete

Keywords Abstract Paper

Non-volatile memory, lock-free, concurrent data structures

Qun Huang, Haifeng Sun, Patrick P. C. Lee and

Wei Bai, Feng Zhu, Yungang Bao

Keywords Abstract Paper

Distributed systems, Network measurement

Myoungsoo Jung

Keywords Abstract Paper

Ilan Price, Jared Tanner

Keywords Abstract Paper

Deep Learning

Adrian Bulat, Brais Martinez, Georgios Tzimiropoulos

Keywords Abstract Paper

Alvin Wan, Xiaoliang Dai, Peizhao Zhang and

Zijian He, Yuandong Tian, Saining Xie, Bichen Wu, Matthew Yu, Tao Xu, Kan Chen, Peter Vajda, Joseph E. Gonzalez

Keywords Abstract Paper

nas, dnas, fbnet, state-of-the-art, imagenet, mobilenetv3, efficientnet, classification, neural architecture search, differentiable neural architecture search

Sheng Liu, Xiao Li, Yuexiang Zhai and

Chong You, Zhihui Zhu, Carlos Fernandez-Granda, Qing Qu

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deep learning, machine learning, robustness, generative model

Shunshi Zhang, Bradly C. Stadie

Keywords Abstract Paper

Pruning, RNNs, Sparsity

Korawat Tanwisuth, Xinjie Fan, Huangjie Zheng and

Shujian Zhang, Hao Zhang, Bo Chen, Mingyuan Zhou

Keywords Abstract Paper

deep learning, vision, domain adaptation, privacy

Xinrui Jiang, Nannan Wang, Jingwei Xin and

Keyu Li, Xi Yang, Xinbo Gao

Keywords Abstract Paper

Michal Friedman, Naama Ben-David, Yuanhao Wei and

Guy E. Blelloch, Erez Petrank

Keywords Abstract Paper

Non-blocking, Lock-free, Concurrent Data Structures, Non-volatile Memory

Ouassim Karrakchou, Nancy Samaan, Ahmed Karmouch

Keywords Abstract Paper

Architecture, SDN, P4, NDN

Zicheng Chi, Xin Liu, Wei Wang and

Yao Yao, Ting Zhu

Keywords Abstract Paper

LTE, Backscatter, Internet of things

Marcos K. Aguilera, Naama Ben-David, Rachid Guerraoui and

Virendra J. Marathe, Athanasios Xygkis, Igor Zablotchi

Keywords Abstract Paper

Jeff Pool, Chong Yu

Keywords Abstract Paper

optimization

Aurobindo Munagala, Ameya Prabhu, Anoop Namboodiri

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quantization, binary networks, binarization, pruning, compression, inference

Gyumin Shim, Jinsun Park, In So Kweon

Keywords Abstract Paper

reference-based super-resolution, self-similarity super-resolution, deformable convolution, non-local block, single-image super-resolution, perceptual-oriented super-resolution

Chen Zhu, Renkun Ni, Zheng Xu and

Kezhi Kong, W. Ronny Huang, Tom Goldstein

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deep learning, transformers, vision

Tao Lin, Sebastian U. Stich, Luis Barba and

Daniil Dmitriev, Martin Jaggi

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network pruning, dynamic reparameterization, model compression

Sifis Lagouvardos, Neville Grech, Ilias Tsatiris, Yannis Smaragdakis

Keywords Abstract Paper

ethereum, static analysis, EVM

Marton Havasi, Rodolphe Jenatton, Stanislav Fort and

Jeremiah Zhe Liu, Jasper Snoek, Balaji Lakshminarayanan, Andrew Dai, Dustin Tran

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robustness, Efficient ensembles

Dipan Pal, Akshay Chawla, Marios Savvides

Keywords Abstract Paper

random connections, invariant features, permanent random connectomes, prcns, nptns, learning invariances, bio-inspired networks

Robin Ru, Clare Lyle, Lisa Schut and

Miroslav Fil, Mark van der Wilk, Yarin Gal

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deep learning

Chuan Jiang, Sanjay Rao, Mohit Tawarmalani

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network optimization, network resilience

Markus Legner, Tobias Klenze, Marc Wyss and

Christoph Sprenger, Adrian Perrig

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Ke Zhong, Zhihao Jiang, Ke Ma, Sebastian Angel

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Jianze Liang, Chengqi Zhao, Mingxuan Wang and

Xipeng Qiu, Lei Li

Keywords Abstract Paper