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Michael Maire
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2020 – today
- 2024
- [c46]Xiao Zhang, David Yunis, Michael Maire:
Deciphering 'What' and 'Where' Visual Pathways from Spectral Clustering of Layer-Distributed Neural Representations. CVPR 2024: 4165-4175 - [c45]Sudarshan Babu, Richard Liu, Avery Zhou, Michael Maire, Greg Shakhnarovich, Rana Hanocka:
HyperFields: Towards Zero-Shot Generation of NeRFs from Text. ICML 2024 - [c44]Yuhan Liu, Chengcheng Wan, Kuntai Du, Henry Hoffmann, Junchen Jiang, Shan Lu, Michael Maire:
ChameleonAPI: Automatic and Efficient Customization of Neural Networks for ML Applications. OSDI 2024: 365-386 - [c43]Yuhan Liu
, Hanchen Li
CacheGen: KV Cache Compression and Streaming for Fast Large Language Model Serving. SIGCOMM 2024: 38-56 - [c42]Mingyuan Xiang, Xuhan Xie, Pedro Savarese, Xin Yuan, Michael Maire, Yanjing Li:
Drop-Connect as a Fault-Tolerance Approach for RRAM-based Deep Neural Network Accelerators. VTS 2024: 1-7 - [i36]Xiao Zhang, Ruoxi Jiang, William Gao, Rebecca Willett, Michael Maire:
Residual Connections Harm Self-Supervised Abstract Feature Learning. CoRR abs/2404.10947 (2024) - [i35]Mingyuan Xiang, Xuhan Xie, Pedro Savarese, Xin Yuan, Michael Maire, Yanjing Li:
Drop-Connect as a Fault-Tolerance Approach for RRAM-based Deep Neural Network Accelerators. CoRR abs/2404.15498 (2024) - [i34]Xiao Zhang, William Gao, Seemandhar Jain, Michael Maire, David A. Forsyth, Anand Bhattad:
Latent Intrinsics Emerge from Training to Relight. CoRR abs/2405.21074 (2024) - [i33]Xin Yuan, Rana Hanocka, Michael Maire:
Generative Lifting of Multiview to 3D from Unknown Pose: Wrapping NeRF inside Diffusion. CoRR abs/2406.06972 (2024) - [i32]David Yunis, Kumar Kshitij Patel, Samuel Wheeler, Pedro Savarese, Gal Vardi, Karen Livescu, Michael Maire, Matthew R. Walter:
Approaching Deep Learning through the Spectral Dynamics of Weights. CoRR abs/2408.11804 (2024) - 2023
- [j2]Chengcheng Wan
Run-Time Prevention of Software Integration Failures of Machine Learning APIs. Proc. ACM Program. Lang. 7(OOPSLA2): 264-291 (2023) - [c41]Xin Yuan, Pedro Savarese, Michael Maire:
Accelerated Training via Incrementally Growing Neural Networks using Variance Transfer and Learning Rate Adaptation. NeurIPS 2023 - [i31]Zhuokai Zhao, Takumi Matsuzawa, William Irvine, Michael Maire, Gordon L. Kindlmann:
Evaluating Machine Learning Models with NERO: Non-Equivariance Revealed on Orbits. CoRR abs/2305.19889 (2023) - [i30]Xin Yuan, Pedro Savarese, Michael Maire:
Accelerated Training via Incrementally Growing Neural Networks using Variance Transfer and Learning Rate Adaptation. CoRR abs/2306.12700 (2023) - [i29]Xin Yuan, Michael Maire:
Factorized Diffusion Architectures for Unsupervised Image Generation and Segmentation. CoRR abs/2309.15726 (2023) - [i28]Xiao Zhang, Michael Maire:
Structural Adversarial Objectives for Self-Supervised Representation Learning. CoRR abs/2310.00357 (2023) - [i27]Yuhan Liu, Chengcheng Wan, Kuntai Du, Henry Hoffmann, Junchen Jiang, Shan Lu, Michael Maire:
Automatic and Efficient Customization of Neural Networks for ML Applications. CoRR abs/2310.04685 (2023) - [i26]Yuhan Liu, Hanchen Li, Kuntai Du, Jiayi Yao, Yihua Cheng, Yuyang Huang, Shan Lu, Michael Maire, Henry Hoffmann, Ari Holtzman, Ganesh Ananthanarayanan, Junchen Jiang:
CacheGen: Fast Context Loading for Language Model Applications. CoRR abs/2310.07240 (2023) - [i25]Sudarshan Babu, Richard Liu, Avery Zhou, Michael Maire, Greg Shakhnarovich, Rana Hanocka:
HyperFields: Towards Zero-Shot Generation of NeRFs from Text. CoRR abs/2310.17075 (2023) - [i24]Cyrus Zhou, Vaughn Richard, Pedro Savarese, Zachary Hassman, Michael Maire, Michael DiBrino, Yanjing Li:
SySMOL: A Hardware-software Co-design Framework for Ultra-Low and Fine-Grained Mixed-Precision Neural Networks. CoRR abs/2311.14114 (2023) - [i23]Xiao Zhang, David Yunis, Michael Maire:
Deciphering 'What' and 'Where' Visual Pathways from Spectral Clustering of Layer-Distributed Neural Representations. CoRR abs/2312.06716 (2023) - 2022
- [c40]Chengcheng Wan
Automated Testing of Software that Uses Machine Learning APIs. ICSE 2022: 212-224 - [c39]Pedro Savarese, Xin Yuan, Yanjing Li, Michael Maire:
Not All Bits have Equal Value: Heterogeneous Precisions via Trainable Noise. NeurIPS 2022 - [c38]Tri Huynh, Simon Kornblith, Matthew R. Walter
Boosting Contrastive Self-Supervised Learning with False Negative Cancellation. WACV 2022: 986-996 - 2021
- [c37]Pedro Savarese, Sunnie S. Y. Kim, Michael Maire, Greg Shakhnarovich, David McAllester:
Information-Theoretic Segmentation by Inpainting Error Maximization. CVPR 2021: 4029-4039 - [c36]Xin Yuan, Zhe Lin, Jason Kuen, Jianming Zhang, Yilin Wang, Michael Maire, Ajinkya Kale, Baldo Faieta:
Multimodal Contrastive Training for Visual Representation Learning. CVPR 2021: 6995-7004 - [c35]Pedro Savarese, David McAllester, Sudarshan Babu, Michael Maire:
Domain-Independent Dominance of Adaptive Methods. CVPR 2021: 16286-16295 - [c34]Xin Yuan, Pedro Henrique Pamplona Savarese, Michael Maire:
Growing Efficient Deep Networks by Structured Continuous Sparsification. ICLR 2021 - [c33]Chengcheng Wan
Are Machine Learning Cloud APIs Used Correctly? ICSE 2021: 125-137 - [c32]Chengcheng Wan, Shicheng Liu, Henry Hoffmann, Michael Maire, Shan Lu:
A Replication of Are Machine Learning Cloud APIs Used Correctly. ICSE (Companion Volume) 2021: 158-159 - [c31]Sudarshan Babu, Pedro Savarese, Michael Maire:
Meta-Learning via Learning with Distributed Memory. NeurIPS 2021: 14795-14808 - [i22]Xin Yuan, Zhe Lin, Jason Kuen, Jianming Zhang, Yilin Wang, Michael Maire, Ajinkya Kale, Baldo Faieta:
Multimodal Contrastive Training for Visual Representation Learning. CoRR abs/2104.12836 (2021) - 2020
- [c30]Haochen Wang, Ruotian Luo, Michael Maire, Greg Shakhnarovich:
Pixel Consensus Voting for Panoptic Segmentation. CVPR 2020: 9461-9470 - [c29]Tri Huynh, Michael Maire, Matthew R. Walter:
Multigrid Neural Memory. ICML 2020: 4561-4571 - [c28]Chengcheng Wan, Henry Hoffmann, Shan Lu, Michael Maire:
Orthogonalized SGD and Nested Architectures for Anytime Neural Networks. ICML 2020: 9807-9817 - [c27]Pedro Savarese, Hugo Silva, Michael Maire:
Winning the Lottery with Continuous Sparsification. NeurIPS 2020 - [c26]Xiao Zhang, Michael Maire:
Self-Supervised Visual Representation Learning from Hierarchical Grouping. NeurIPS 2020 - [c25]Chengcheng Wan, Muhammad Husni Santriaji, Eri Rogers, Henry Hoffmann, Michael Maire, Shan Lu:
ALERT: Accurate Learning for Energy and Timeliness. USENIX ATC 2020: 353-369 - [i21]Haochen Wang, Ruotian Luo, Michael Maire, Greg Shakhnarovich:
Pixel Consensus Voting for Panoptic Segmentation. CoRR abs/2004.01849 (2020) - [i20]Xin Yuan, Pedro Savarese, Michael Maire:
Growing Efficient Deep Networks by Structured Continuous Sparsification. CoRR abs/2007.15353 (2020) - [i19]Chengcheng Wan, Henry Hoffmann, Shan Lu, Michael Maire:
Orthogonalized SGD and Nested Architectures for Anytime Neural Networks. CoRR abs/2008.06635 (2020) - [i18]Tri Huynh, Simon Kornblith, Matthew R. Walter, Michael Maire, Maryam Khademi:
Boosting Contrastive Self-Supervised Learning with False Negative Cancellation. CoRR abs/2011.11765 (2020) - [i17]Xiao Zhang, Michael Maire:
Self-Supervised Visual Representation Learning from Hierarchical Grouping. CoRR abs/2012.03044 (2020) - [i16]Pedro Savarese, Sunnie S. Y. Kim, Michael Maire, Greg Shakhnarovich, David McAllester:
Information-Theoretic Segmentation by Inpainting Error Maximization. CoRR abs/2012.07287 (2020)
2010 – 2019
- 2019
- [c24]Pedro Savarese, Michael Maire:
Learning Implicitly Recurrent CNNs Through Parameter Sharing. ICLR (Poster) 2019 - [i15]Pedro Savarese, Michael Maire:
Learning Implicitly Recurrent CNNs Through Parameter Sharing. CoRR abs/1902.09701 (2019) - [i14]Tri Huynh, Michael Maire, Matthew R. Walter:
Multigrid Neural Memory. CoRR abs/1906.05948 (2019) - [i13]Chengcheng Wan, Muhammad Husni Santriaji, Eri Rogers, Henry Hoffmann, Michael Maire, Shan Lu:
ALERT: Accurate Anytime Learning for Energy and Timeliness. CoRR abs/1911.00119 (2019) - [i12]Pedro Savarese, David McAllester, Sudarshan Babu, Michael Maire:
Domain-independent Dominance of Adaptive Methods. CoRR abs/1912.01823 (2019) - [i11]Pedro Savarese, Hugo Silva, Michael Maire:
Winning the Lottery with Continuous Sparsification. CoRR abs/1912.04427 (2019) - 2018
- [c23]Mohammadreza Mostajabi, Michael Maire, Gregory Shakhnarovich:
Regularizing Deep Networks by Modeling and Predicting Label Structure. CVPR 2018: 5629-5638 - [c22]Huaizu Jiang, Gustav Larsson, Michael Maire, Greg Shakhnarovich, Erik G. Learned-Miller:
Self-Supervised Relative Depth Learning for Urban Scene Understanding. ECCV (11) 2018: 20-37 - [c21]Ligeng Zhu, Ruizhi Deng, Michael Maire, Zhiwei Deng, Greg Mori, Ping Tan:
Sparsely Aggregated Convolutional Networks. ECCV (12) 2018: 192-208 - [i10]Mohammadreza Mostajabi, Michael Maire, Gregory Shakhnarovich:
Regularizing Deep Networks by Modeling and Predicting Label Structure. CoRR abs/1804.02009 (2018) - 2017
- [c20]Gustav Larsson, Michael Maire, Gregory Shakhnarovich:
Colorization as a Proxy Task for Visual Understanding. CVPR 2017: 840-849 - [c19]Tsung-Wei Ke, Michael Maire, Stella X. Yu:
Multigrid Neural Architectures. CVPR 2017: 4067-4075 - [c18]Gustav Larsson, Michael Maire, Gregory Shakhnarovich:
FractalNet: Ultra-Deep Neural Networks without Residuals. ICLR (Poster) 2017 - [i9]Gustav Larsson, Michael Maire, Gregory Shakhnarovich:
Colorization as a Proxy Task for Visual Understanding. CoRR abs/1703.04044 (2017) - [i8]Huaizu Jiang, Erik G. Learned-Miller, Gustav Larsson, Michael Maire, Greg Shakhnarovich:
Self-Supervised Depth Learning for Urban Scene Understanding. CoRR abs/1712.04850 (2017) - 2016
- [c17]Michael Maire, Takuya Narihira, Stella X. Yu:
Affinity CNN: Learning Pixel-Centric Pairwise Relations for Figure/Ground Embedding. CVPR 2016: 174-182 - [c16]Gustav Larsson, Michael Maire, Gregory Shakhnarovich:
Learning Representations for Automatic Colorization. ECCV (4) 2016: 577-593 - [i7]Gustav Larsson, Michael Maire, Gregory Shakhnarovich:
Learning Representations for Automatic Colorization. CoRR abs/1603.06668 (2016) - [i6]Gustav Larsson, Michael Maire, Gregory Shakhnarovich:
FractalNet: Ultra-Deep Neural Networks without Residuals. CoRR abs/1605.07648 (2016) - [i5]Tsung-Wei Ke, Michael Maire, Stella X. Yu:
Neural Multigrid. CoRR abs/1611.07661 (2016) - 2015
- [c15]Takuya Narihira, Michael Maire, Stella X. Yu:
Learning lightness from human judgement on relative reflectance. CVPR 2015: 2965-2973 - [c14]Takuya Narihira, Michael Maire, Stella X. Yu:
Direct Intrinsics: Learning Albedo-Shading Decomposition by Convolutional Regression. ICCV 2015: 2992 - [i4]Takuya Narihira, Michael Maire, Stella X. Yu:
Direct Intrinsics: Learning Albedo-Shading Decomposition by Convolutional Regression. CoRR abs/1512.02311 (2015) - [i3]Michael Maire, Takuya Narihira, Stella X. Yu:
Affinity CNN: Learning Pixel-Centric Pairwise Relations for Figure/Ground Embedding. CoRR abs/1512.02767 (2015) - 2014
- [c13]Michael Maire, Stella X. Yu, Pietro Perona:
Reconstructive Sparse Code Transfer for Contour Detection and Semantic Labeling. ACCV (4) 2014: 273-287 - [c12]Tsung-Yi Lin, Michael Maire, Serge J. Belongie
Microsoft COCO: Common Objects in Context. ECCV (5) 2014: 740-755 - [r1]Michael Maire:
Corner Detection. Computer Vision, A Reference Guide 2014: 152-154 - [i2]Tsung-Yi Lin, Michael Maire, Serge J. Belongie, Lubomir D. Bourdev, Ross B. Girshick, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, C. Lawrence Zitnick:
Microsoft COCO: Common Objects in Context. CoRR abs/1405.0312 (2014) - [i1]Michael Maire, Stella X. Yu, Pietro Perona:
Reconstructive Sparse Code Transfer for Contour Detection and Semantic Labeling. CoRR abs/1410.4521 (2014) - 2013
- [c11]Michael Maire, Stella X. Yu, Pietro Perona:
Hierarchical Scene Annotation. BMVC 2013 - [c10]Michael Maire, Stella X. Yu:
Progressive Multigrid Eigensolvers for Multiscale Spectral Segmentation. ICCV 2013: 2184-2191 - 2011
- [j1]Pablo Arbeláez
Contour Detection and Hierarchical Image Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 33(5): 898-916 (2011) - [c9]Patrik Sundberg, Thomas Brox, Michael Maire, Pablo Arbeláez
Occlusion boundary detection and figure/ground assignment from optical flow. CVPR 2011: 2233-2240 - [c8]Michael Maire, Stella X. Yu, Pietro Perona:
Object detection and segmentation from joint embedding of parts and pixels. ICCV 2011: 2142-2149 - 2010
- [c7]Michael Maire:
Simultaneous Segmentation and Figure/Ground Organization Using Angular Embedding. ECCV (2) 2010: 450-464
2000 – 2009
- 2009
- [c6]Pablo Arbeláez
From contours to regions: An empirical evaluation. CVPR 2009: 2294-2301 - 2008
- [c5]Michael Maire, Pablo Arbeláez
Using contours to detect and localize junctions in natural images. CVPR 2008 - 2006
- [c4]Hao Zhang, Alexander C. Berg, Michael Maire, Jitendra Malik:
SVM-KNN: Discriminative Nearest Neighbor Classification for Visual Category Recognition. CVPR (2) 2006: 2126-2136 - 2004
- [c3]Tamara L. Berg, Alexander C. Berg, Jaety Edwards, Michael Maire, Ryan White, Yee Whye Teh, Erik G. Learned-Miller, David A. Forsyth:
Names and Faces in the News. CVPR (2) 2004: 848-854 - [c2]Pierre Moreels, Michael Maire, Pietro Perona:
Recognition by Probabilistic Hypothesis Construction. ECCV (1) 2004: 55-68 - [c1]Jaety Edwards, Yee Whye Teh, David A. Forsyth, Roger Bock, Michael Maire, Grace Vesom:
Making Latin Manuscripts Searchable using gHMMs. NIPS 2004: 385-392
Coauthor Index
Pedro Savarese
aka: Pedro Henrique Pamplona Savarese
aka: Pedro Henrique Pamplona Savarese
Gregory Shakhnarovich
aka: Greg Shakhnarovich
aka: Greg Shakhnarovich
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last updated on 2024-10-04 20:04 CEST by the dblp team
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