Michael Maire - RankMe

94 papers A* 32A 2Misc 1Journal 44Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Keeper: Automated Testing and Fixing of Machine Learning Software - RCR Report. ACM Trans. Softw. Eng. Methodol. Chengcheng Wan, Shicheng Liu, Sophie Xie, Yuhan Liu, Michael Maire, Henry Hoffmann, Shan Lu
2025	J	`jnl`	Hierarchical Implicit Neural Emulators. CoRR Ruoxi Jiang, Xiao Zhang, Karan Jakhar, Peter Y. Lu, Pedram Hassanzadeh, Michael Maire, Rebecca Willett
2025	J	`jnl`	HyperDiffusionFields (HyDiF): Diffusion-Guided Hypernetworks for Learning Implicit Molecular Neural Fields. CoRR Sudarshan Babu, Phillip Lo, Xiao Zhang, Aadi Srivastava, Ali Davariashtiyani, Jason Perera, Michael Maire, Aly A. Khan
2025	A*	`conf`	Nested Diffusion Models Using Hierarchical Latent Priors. CVPR Xiao Zhang, Ruoxi Jiang, Rebecca Willett, Michael Maire
2024	J	`jnl`	Approaching Deep Learning through the Spectral Dynamics of Weights. CoRR David Yunis, Kumar Kshitij Patel, Samuel Wheeler, Pedro Savarese, Gal Vardi, Karen Livescu, Michael Maire, Matthew R. Walter
2024	A*	`conf`	CacheGen: KV Cache Compression and Streaming for Fast Large Language Model Serving. SIGCOMM Yuhan Liu, Hanchen Li, Yihua Cheng, Siddhant Ray, Yuyang Huang, Qizheng Zhang, Kuntai Du, Jiayi Yao, Shan Lu, Ganesh Ananthanarayanan, Michael Maire, Henry Hoffmann, Ari Holtzman, Junchen Jiang
2024	A*	`conf`	ChameleonAPI: Automatic and Efficient Customization of Neural Networks for ML Applications. OSDI Yuhan Liu, Chengcheng Wan, Kuntai Du, Henry Hoffmann, Junchen Jiang, Shan Lu, Michael Maire
2024	A*	`conf`	Deciphering 'What' and 'Where' Visual Pathways from Spectral Clustering of Layer-Distributed Neural Representations. CVPR Xiao Zhang, David Yunis, Michael Maire
2024	Misc	`conf`	Drop-Connect as a Fault-Tolerance Approach for RRAM-based Deep Neural Network Accelerators. VTS Mingyuan Xiang, Xuhan Xie, Pedro Savarese, Xin Yuan, Michael Maire, Yanjing Li
2024	J	`jnl`	Drop-Connect as a Fault-Tolerance Approach for RRAM-based Deep Neural Network Accelerators. CoRR Mingyuan Xiang, Xuhan Xie, Pedro Savarese, Xin Yuan, Michael Maire, Yanjing Li
2024	A*	`conf`	Factorized Diffusion Architectures for Unsupervised Image Generation and Segmentation. NeurIPS Xin Yuan, Michael Maire
2024	J	`jnl`	Generative Lifting of Multiview to 3D from Unknown Pose: Wrapping NeRF inside Diffusion. CoRR Xin Yuan, Rana Hanocka, Michael Maire
2024	A*	`conf`	HyperFields: Towards Zero-Shot Generation of NeRFs from Text. ICML Sudarshan Babu, Richard Liu, Avery Zhou, Michael Maire, Greg Shakhnarovich, Rana Hanocka
2024	J	`jnl`	Keeper: Automated Testing and Fixing of Machine Learning Software. ACM Trans. Softw. Eng. Methodol. Chengcheng Wan, Shicheng Liu, Sophie Xie, Yuhan Liu, Henry Hoffmann, Michael Maire, Shan Lu
2024	A*	`conf`	Latent Intrinsics Emerge from Training to Relight. NeurIPS Xiao Zhang, William Gao, Seemandhar Jain, Michael Maire, David A. Forsyth, Anand Bhattad
2024	J	`jnl`	Latent Intrinsics Emerge from Training to Relight. CoRR Xiao Zhang, William Gao, Seemandhar Jain, Michael Maire, David A. Forsyth, Anand Bhattad
2024	J	`jnl`	Nested Diffusion Models Using Hierarchical Latent Priors. CoRR Xiao Zhang, Ruoxi Jiang, Rebecca Willett, Michael Maire
2024	J	`jnl`	PROGRESSOR: A Perceptually Guided Reward Estimator with Self-Supervised Online Refinement. CoRR Tewodros Ayalew, Xiao Zhang, Kevin Yuanbo Wu, Tianchong Jiang, Michael Maire, Matthew R. Walter
2024	J	`jnl`	Residual Connections Harm Self-Supervised Abstract Feature Learning. CoRR Xiao Zhang, Ruoxi Jiang, William Gao, Rebecca Willett, Michael Maire
2023	A*	`conf`	Accelerated Training via Incrementally Growing Neural Networks using Variance Transfer and Learning Rate Adaptation. NeurIPS Xin Yuan, Pedro Savarese, Michael Maire
2023	J	`jnl`	Accelerated Training via Incrementally Growing Neural Networks using Variance Transfer and Learning Rate Adaptation. CoRR Xin Yuan, Pedro Savarese, Michael Maire
2023	J	`jnl`	Automatic and Efficient Customization of Neural Networks for ML Applications. CoRR Yuhan Liu, Chengcheng Wan, Kuntai Du, Henry Hoffmann, Junchen Jiang, Shan Lu, Michael Maire
2023	J	`jnl`	CacheGen: Fast Context Loading for Language Model Applications. CoRR Yuhan Liu, Hanchen Li, Kuntai Du, Jiayi Yao, Yihua Cheng, Yuyang Huang, Shan Lu, Michael Maire, Henry Hoffmann, Ari Holtzman, Ganesh Ananthanarayanan, Junchen Jiang
2023	J	`jnl`	Deciphering 'What' and 'Where' Visual Pathways from Spectral Clustering of Layer-Distributed Neural Representations. CoRR Xiao Zhang, David Yunis, Michael Maire
2023	J	`jnl`	Evaluating Machine Learning Models with NERO: Non-Equivariance Revealed on Orbits. CoRR Zhuokai Zhao, Takumi Matsuzawa, William Irvine, Michael Maire, Gordon L. Kindlmann
2023	J	`jnl`	Factorized Diffusion Architectures for Unsupervised Image Generation and Segmentation. CoRR Xin Yuan, Michael Maire
2023	J	`jnl`	HyperFields: Towards Zero-Shot Generation of NeRFs from Text. CoRR Sudarshan Babu, Richard Liu, Avery Zhou, Michael Maire, Greg Shakhnarovich, Rana Hanocka
2023	J	`jnl`	Run-Time Prevention of Software Integration Failures of Machine Learning APIs. Proc. ACM Program. Lang. Chengcheng Wan, Yuhan Liu, Kuntai Du, Henry Hoffmann, Junchen Jiang, Michael Maire, Shan Lu
2023	J	`jnl`	Structural Adversarial Objectives for Self-Supervised Representation Learning. CoRR Xiao Zhang, Michael Maire
2023	J	`jnl`	SySMOL: A Hardware-software Co-design Framework for Ultra-Low and Fine-Grained Mixed-Precision Neural Networks. CoRR Cyrus Zhou, Vaughn Richard, Pedro Savarese, Zachary Hassman, Michael Maire, Michael DiBrino, Yanjing Li
2022	A*	`conf`	Automated Testing of Software that Uses Machine Learning APIs. ICSE Chengcheng Wan, Shicheng Liu, Sophie Xie, Yifan Liu, Henry Hoffmann, Michael Maire, Shan Lu
2022	A	`conf`	Boosting Contrastive Self-Supervised Learning with False Negative Cancellation. WACV Tri Huynh, Simon Kornblith, Matthew R. Walter, Michael Maire, Maryam Khademi
2022	A*	`conf`	Not All Bits have Equal Value: Heterogeneous Precisions via Trainable Noise. NeurIPS Pedro Savarese, Xin Yuan, Yanjing Li, Michael Maire
2021	—	`conf`	A Replication of Are Machine Learning Cloud APIs Used Correctly. ICSE (Companion Volume) Chengcheng Wan, Shicheng Liu, Henry Hoffmann, Michael Maire, Shan Lu
2021	A*	`conf`	Are Machine Learning Cloud APIs Used Correctly? ICSE Chengcheng Wan, Shicheng Liu, Henry Hoffmann, Michael Maire, Shan Lu
2021	A*	`conf`	Domain-Independent Dominance of Adaptive Methods. CVPR Pedro Savarese, David McAllester, Sudarshan Babu, Michael Maire
2021	A*	`conf`	Growing Efficient Deep Networks by Structured Continuous Sparsification. ICLR Xin Yuan, Pedro Henrique Pamplona Savarese, Michael Maire
2021	A*	`conf`	Information-Theoretic Segmentation by Inpainting Error Maximization. CVPR Pedro Savarese, Sunnie S. Y. Kim, Michael Maire, Greg Shakhnarovich, David McAllester
2021	A*	`conf`	Meta-Learning via Learning with Distributed Memory. NeurIPS Sudarshan Babu, Pedro Savarese, Michael Maire
2021	A*	`conf`	Multimodal Contrastive Training for Visual Representation Learning. CVPR Xin Yuan, Zhe Lin, Jason Kuen, Jianming Zhang, Yilin Wang, Michael Maire, Ajinkya Kale, Baldo Faieta
2021	J	`jnl`	Multimodal Contrastive Training for Visual Representation Learning. CoRR Xin Yuan, Zhe Lin, Jason Kuen, Jianming Zhang, Yilin Wang, Michael Maire, Ajinkya Kale, Baldo Faieta
2020	—	`conf`	ALERT: Accurate Learning for Energy and Timeliness. USENIX ATC Chengcheng Wan, Muhammad Husni Santriaji, Eri Rogers, Henry Hoffmann, Michael Maire, Shan Lu
2020	J	`jnl`	Boosting Contrastive Self-Supervised Learning with False Negative Cancellation. CoRR Tri Huynh, Simon Kornblith, Matthew R. Walter, Michael Maire, Maryam Khademi
2020	J	`jnl`	Growing Efficient Deep Networks by Structured Continuous Sparsification. CoRR Xin Yuan, Pedro Savarese, Michael Maire
2020	J	`jnl`	Information-Theoretic Segmentation by Inpainting Error Maximization. CoRR Pedro Savarese, Sunnie S. Y. Kim, Michael Maire, Greg Shakhnarovich, David McAllester
2020	A*	`conf`	Multigrid Neural Memory. ICML Tri Huynh, Michael Maire, Matthew R. Walter
2020	A*	`conf`	Orthogonalized SGD and Nested Architectures for Anytime Neural Networks. ICML Chengcheng Wan, Henry Hoffmann, Shan Lu, Michael Maire
2020	J	`jnl`	Orthogonalized SGD and Nested Architectures for Anytime Neural Networks. CoRR Chengcheng Wan, Henry Hoffmann, Shan Lu, Michael Maire
2020	A*	`conf`	Pixel Consensus Voting for Panoptic Segmentation. CVPR Haochen Wang, Ruotian Luo, Michael Maire, Greg Shakhnarovich
2020	J	`jnl`	Pixel Consensus Voting for Panoptic Segmentation. CoRR Haochen Wang, Ruotian Luo, Michael Maire, Greg Shakhnarovich
2020	A*	`conf`	Self-Supervised Visual Representation Learning from Hierarchical Grouping. NeurIPS Xiao Zhang, Michael Maire
2020	J	`jnl`	Self-Supervised Visual Representation Learning from Hierarchical Grouping. CoRR Xiao Zhang, Michael Maire
2020	A*	`conf`	Winning the Lottery with Continuous Sparsification. NeurIPS Pedro Savarese, Hugo Silva, Michael Maire
2019	J	`jnl`	ALERT: Accurate Anytime Learning for Energy and Timeliness. CoRR Chengcheng Wan, Muhammad Husni Santriaji, Eri Rogers, Henry Hoffmann, Michael Maire, Shan Lu
2019	J	`jnl`	Domain-independent Dominance of Adaptive Methods. CoRR Pedro Savarese, David McAllester, Sudarshan Babu, Michael Maire
2019	—	`conf`	Learning Implicitly Recurrent CNNs Through Parameter Sharing. ICLR (Poster) Pedro Savarese, Michael Maire
2019	J	`jnl`	Learning Implicitly Recurrent CNNs Through Parameter Sharing. CoRR Pedro Savarese, Michael Maire
2019	J	`jnl`	Multigrid Neural Memory. CoRR Tri Huynh, Michael Maire, Matthew R. Walter
2019	J	`jnl`	Winning the Lottery with Continuous Sparsification. CoRR Pedro Savarese, Hugo Silva, Michael Maire
2018	A*	`conf`	Regularizing Deep Networks by Modeling and Predicting Label Structure. CVPR Mohammadreza Mostajabi, Michael Maire, Gregory Shakhnarovich
2018	J	`jnl`	Regularizing Deep Networks by Modeling and Predicting Label Structure. CoRR Mohammadreza Mostajabi, Michael Maire, Gregory Shakhnarovich
2018	—	`conf`	Self-Supervised Relative Depth Learning for Urban Scene Understanding. ECCV (11) Huaizu Jiang, Gustav Larsson, Michael Maire, Greg Shakhnarovich, Erik G. Learned-Miller
2018	—	`conf`	Sparsely Aggregated Convolutional Networks. ECCV (12) Ligeng Zhu, Ruizhi Deng, Michael Maire, Zhiwei Deng, Greg Mori, Ping Tan
2017	A*	`conf`	Colorization as a Proxy Task for Visual Understanding. CVPR Gustav Larsson, Michael Maire, Gregory Shakhnarovich
2017	J	`jnl`	Colorization as a Proxy Task for Visual Understanding. CoRR Gustav Larsson, Michael Maire, Gregory Shakhnarovich
2017	—	`conf`	FractalNet: Ultra-Deep Neural Networks without Residuals. ICLR (Poster) Gustav Larsson, Michael Maire, Gregory Shakhnarovich
2017	A*	`conf`	Multigrid Neural Architectures. CVPR Tsung-Wei Ke, Michael Maire, Stella X. Yu
2017	J	`jnl`	Self-Supervised Depth Learning for Urban Scene Understanding. CoRR Huaizu Jiang, Erik G. Learned-Miller, Gustav Larsson, Michael Maire, Greg Shakhnarovich
2016	A*	`conf`	Affinity CNN: Learning Pixel-Centric Pairwise Relations for Figure/Ground Embedding. CVPR Michael Maire, Takuya Narihira, Stella X. Yu
2016	J	`jnl`	FractalNet: Ultra-Deep Neural Networks without Residuals. CoRR Gustav Larsson, Michael Maire, Gregory Shakhnarovich
2016	—	`conf`	Learning Representations for Automatic Colorization. ECCV (4) Gustav Larsson, Michael Maire, Gregory Shakhnarovich
2016	J	`jnl`	Learning Representations for Automatic Colorization. CoRR Gustav Larsson, Michael Maire, Gregory Shakhnarovich
2016	J	`jnl`	Neural Multigrid. CoRR Tsung-Wei Ke, Michael Maire, Stella X. Yu
2015	J	`jnl`	Affinity CNN: Learning Pixel-Centric Pairwise Relations for Figure/Ground Embedding. CoRR Michael Maire, Takuya Narihira, Stella X. Yu
2015	A*	`conf`	Direct Intrinsics: Learning Albedo-Shading Decomposition by Convolutional Regression. ICCV Takuya Narihira, Michael Maire, Stella X. Yu
2015	J	`jnl`	Direct Intrinsics: Learning Albedo-Shading Decomposition by Convolutional Regression. CoRR Takuya Narihira, Michael Maire, Stella X. Yu
2015	A*	`conf`	Learning lightness from human judgement on relative reflectance. CVPR Takuya Narihira, Michael Maire, Stella X. Yu
2014	—	`ch.`	Corner Detection. Computer Vision, A Reference Guide Michael Maire
2014	—	`conf`	Microsoft COCO: Common Objects in Context. ECCV (5) Tsung-Yi Lin, Michael Maire, Serge J. Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, C. Lawrence Zitnick
2014	J	`jnl`	Microsoft COCO: Common Objects in Context. CoRR 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
2014	—	`conf`	Reconstructive Sparse Code Transfer for Contour Detection and Semantic Labeling. ACCV (4) Michael Maire, Stella X. Yu, Pietro Perona
2014	J	`jnl`	Reconstructive Sparse Code Transfer for Contour Detection and Semantic Labeling. CoRR Michael Maire, Stella X. Yu, Pietro Perona
2013	A	`conf`	Hierarchical Scene Annotation. BMVC Michael Maire, Stella X. Yu, Pietro Perona
2013	A*	`conf`	Progressive Multigrid Eigensolvers for Multiscale Spectral Segmentation. ICCV Michael Maire, Stella X. Yu
2011	J	`jnl`	Contour Detection and Hierarchical Image Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. Pablo Arbeláez, Michael Maire, Charless C. Fowlkes, Jitendra Malik
2011	A*	`conf`	Object detection and segmentation from joint embedding of parts and pixels. ICCV Michael Maire, Stella X. Yu, Pietro Perona
2011	A*	`conf`	Occlusion boundary detection and figure/ground assignment from optical flow. CVPR Patrik Sundberg, Thomas Brox, Michael Maire, Pablo Arbeláez, Jitendra Malik
2010	—	`conf`	Simultaneous Segmentation and Figure/Ground Organization Using Angular Embedding. ECCV (2) Michael Maire
2009	A*	`conf`	From contours to regions: An empirical evaluation. CVPR Pablo Arbeláez, Michael Maire, Charless C. Fowlkes, Jitendra Malik
2008	A*	`conf`	Using contours to detect and localize junctions in natural images. CVPR Michael Maire, Pablo Arbeláez, Charless C. Fowlkes, Jitendra Malik
2006	—	`conf`	SVM-KNN: Discriminative Nearest Neighbor Classification for Visual Category Recognition. CVPR (2) Hao Zhang, Alexander C. Berg, Michael Maire, Jitendra Malik
2004	—	`conf`	Making Latin Manuscripts Searchable using gHMMs. NIPS Jaety Edwards, Yee Whye Teh, David A. Forsyth, Roger Bock, Michael Maire, Grace Vesom
2004	—	`conf`	Names and Faces in the News. CVPR (2) Tamara L. Berg, Alexander C. Berg, Jaety Edwards, Michael Maire, Ryan White, Yee Whye Teh, Erik G. Learned-Miller, David A. Forsyth
2004	—	`conf`	Recognition by Probabilistic Hypothesis Construction. ECCV (1) Pierre Moreels, Michael Maire, Pietro Perona