Maire, Michael

43 publications

NeurIPS 2025 Hierarchical Implicit Neural Emulators Ruoxi Jiang, Xiao Zhang, Karan Jakhar, Peter Y. Lu, Pedram Hassanzadeh, Michael Maire, Rebecca Willett

CVPR 2025 Nested Diffusion Models Using Hierarchical Latent Priors Xiao Zhang, Ruoxi Jiang, Rebecca Willett, Michael Maire

ICCV 2025 PROGRESSOR: A Perceptually Guided Reward Estimator with Self-Supervised Online Refinement Tewodros W. Ayalew, Xiao Zhang, Kevin Yuanbo Wu, Tianchong Jiang, Michael Maire, Matthew R. Walter

CVPR 2024 Deciphering 'What' and 'Where' Visual Pathways from Spectral Clustering of Layer-Distributed Neural Representations Xiao Zhang, David Yunis, Michael Maire

NeurIPSW 2024 Evaluating Machine Learning Models with NERO: Non-Equivariance Revealed on Orbits Zhuokai Zhao, Takumi Matsuzawa, William Irvine, Michael Maire, Gordon Kindlmann

NeurIPS 2024 Factorized Diffusion Architectures for Unsupervised Image Generation and Segmentation Xin Yuan, Michael Maire

ICMLW 2024 Grokking, Rank Minimization and Generalization in Deep Learning David Yunis, Kumar Kshitij Patel, Samuel Wheeler, Pedro Henrique Pamplona Savarese, Gal Vardi, Karen Livescu, Michael Maire, Matthew Walter

ICML 2024 HyperFields: Towards Zero-Shot Generation of NeRFs from Text Sudarshan Babu, Richard Liu, Avery Zhou, Michael Maire, Greg Shakhnarovich, Rana Hanocka

NeurIPS 2024 Latent Intrinsics Emerge from Training to Relight Xiao Zhang, William Gao, Seemandhar Jain, Michael Maire, D.A. Forsyth, Anand Bhattad

ICMLW 2024 Rank Minimization, Alignment and Weight Decay in Neural Networks David Yunis, Kumar Kshitij Patel, Samuel Wheeler, Pedro Henrique Pamplona Savarese, Gal Vardi, Karen Livescu, Michael Maire, Matthew Walter

NeurIPS 2023 Accelerated Training via Incrementally Growing Neural Networks Using Variance Transfer and Learning Rate Adaptation Xin Yuan, Pedro Savarese, Michael Maire

WACV 2022 Boosting Contrastive Self-Supervised Learning with False Negative Cancellation Tri Huynh, Simon Kornblith, Matthew R. Walter, Michael Maire, Maryam Khademi

NeurIPS 2022 Not All Bits Have Equal Value: Heterogeneous Precisions via Trainable Noise Pedro Savarese, Xin Yuan, Yanjing Li, Michael Maire

NeurIPSW 2022 On Convexity and Linear Mode Connectivity in Neural Networks David Yunis, Kumar Kshitij Patel, Pedro Henrique Pamplona Savarese, Gal Vardi, Jonathan Frankle, Matthew Walter, Karen Livescu, Michael Maire

CVPR 2021 Domain-Independent Dominance of Adaptive Methods Pedro Savarese, David McAllester, Sudarshan Babu, Michael Maire

ICLR 2021 Growing Efficient Deep Networks by Structured Continuous Sparsification Xin Yuan, Pedro Henrique Pamplona Savarese, Michael Maire

CVPR 2021 Information-Theoretic Segmentation by Inpainting Error Maximization Pedro Savarese, Sunnie S. Y. Kim, Michael Maire, Greg Shakhnarovich, David McAllester

CVPR 2021 Multimodal Contrastive Training for Visual Representation Learning Xin Yuan, Zhe Lin, Jason Kuen, Jianming Zhang, Yilin Wang, Michael Maire, Ajinkya Kale, Baldo Faieta

NeurIPS 2021 Online Meta-Learning via Learning with Layer-Distributed Memory Sudarshan Babu, Pedro Savarese, Michael Maire

ICML 2020 Multigrid Neural Memory Tri Huynh, Michael Maire, Matthew Walter

ICML 2020 Orthogonalized SGD and Nested Architectures for Anytime Neural Networks Chengcheng Wan, Henry Hoffmann, Shan Lu, Michael Maire

NeurIPS 2020 Self-Supervised Visual Representation Learning from Hierarchical Grouping Xiao Zhang, Michael Maire

NeurIPS 2020 Winning the Lottery with Continuous Sparsification Pedro Savarese, Hugo Silva, Michael Maire

ICLR 2019 Learning Implicitly Recurrent CNNs Through Parameter Sharing Pedro Savarese, Michael Maire

ECCV 2018 Sparsely Aggregated Convolutional Networks Ligeng Zhu, Ruizhi Deng, Michael Maire, Zhiwei Deng, Greg Mori, Ping Tan

CVPR 2017 Colorization as a Proxy Task for Visual Understanding Gustav Larsson, Michael Maire, Gregory Shakhnarovich

ICLR 2017 FractalNet: Ultra-Deep Neural Networks Without Residuals Gustav Larsson, Michael Maire, Gregory Shakhnarovich

CVPR 2017 Multigrid Neural Architectures Tsung-Wei Ke, Michael Maire, Stella X. Yu

CVPR 2016 Affinity CNN: Learning Pixel-Centric Pairwise Relations for Figure/Ground Embedding Michael Maire, Takuya Narihira, Stella X. Yu

ECCV 2016 Learning Representations for Automatic Colorization Gustav Larsson, Michael Maire, Gregory Shakhnarovich

ICCV 2015 Direct Intrinsics: Learning Albedo-Shading Decomposition by Convolutional Regression Takuya Narihira, Michael Maire, Stella X. Yu

CVPR 2015 Learning Lightness from Human Judgement on Relative Reflectance Takuya Narihira, Michael Maire, Stella X. Yu

ECCV 2014 Microsoft COCO: Common Objects in Context Tsung-Yi Lin, Michael Maire, Serge J. Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, C. Lawrence Zitnick

ICCV 2013 Progressive Multigrid Eigensolvers for Multiscale Spectral Segmentation Michael Maire, Stella X. Yu

ICCV 2011 Object Detection and Segmentation from Joint Embedding of Parts and Pixels Michael Maire, Stella X. Yu, Pietro Perona

CVPR 2011 Occlusion Boundary Detection and Figure/ground Assignment from Optical Flow Patrik Sundberg, Thomas Brox, Michael Maire, Pablo Arbeláez, Jitendra Malik

ECCV 2010 Simultaneous Segmentation and Figure/Ground Organization Using Angular Embedding Michael Maire

CVPR 2009 From Contours to Regions: An Empirical Evaluation Pablo Arbeláez, Michael Maire, Charless C. Fowlkes, Jitendra Malik

CVPR 2008 Using Contours to Detect and Localize Junctions in Natural Images Michael Maire, Pablo Arbeláez, Charless C. Fowlkes, Jitendra Malik

CVPR 2006 SVM-KNN: Discriminative Nearest Neighbor Classification for Visual Category Recognition Hao Zhang, Alexander C. Berg, Michael Maire, Jitendra Malik

NeurIPS 2004 Making Latin Manuscripts Searchable Using gHMM's Jaety Edwards, Yee W. Teh, Roger Bock, Michael Maire, Grace Vesom, David A. Forsyth

CVPR 2004 Names and Faces in the News Tamara L. Berg, Alexander C. Berg, Jaety Edwards, Michael Maire, Ryan White, Yee Whye Teh, Erik G. Learned-Miller, David A. Forsyth

ECCV 2004 Recognition by Probabilistic Hypothesis Construction Pierre Moreels, Michael Maire, Pietro Perona