Michael Maire

papers

559

total citations

papers (14)

Deciphering ‘What’ and ‘Where’ Visual Pathways from Spectral Clustering of Layer-Distributed Neural Representations

CVPR 2024arXiv

citations

Accelerated Training via Incrementally Growing Neural Networks using Variance Transfer and Learning Rate Adaptation

NEURIPS 2023arXiv

citations

Hierarchical Implicit Neural Emulators

NEURIPS 2025arXiv

citations

PROGRESSOR: A Perceptually Guided Reward Estimator with Self-Supervised Online Refinement

ICCV 2025arXiv

citations

Nested Diffusion Models Using Hierarchical Latent Priors

CVPR 2025arXiv

citations

Not All Bits have Equal Value: Heterogeneous Precisions via Trainable Noise

NEURIPS 2022

citations

Online Meta-Learning via Learning with Layer-Distributed Memory

NEURIPS 2021

citations

Michael Maire

papers (14)

Multimodal Contrastive Training for Visual Representation Learning

Winning the Lottery with Continuous Sparsification

Self-Supervised Visual Representation Learning from Hierarchical Grouping

Pixel Consensus Voting for Panoptic Segmentation

Information-Theoretic Segmentation by Inpainting Error Maximization

Domain-Independent Dominance of Adaptive Methods

HyperFields: Towards Zero-Shot Generation of NeRFs from Text

Deciphering ‘What’ and ‘Where’ Visual Pathways from Spectral Clustering of Layer-Distributed Neural Representations

Accelerated Training via Incrementally Growing Neural Networks using Variance Transfer and Learning Rate Adaptation

Hierarchical Implicit Neural Emulators

PROGRESSOR: A Perceptually Guided Reward Estimator with Self-Supervised Online Refinement

Nested Diffusion Models Using Hierarchical Latent Priors

Not All Bits have Equal Value: Heterogeneous Precisions via Trainable Noise

Online Meta-Learning via Learning with Layer-Distributed Memory

papers (14)

Multimodal Contrastive Training for Visual Representation Learning

Winning the Lottery with Continuous Sparsification

Self-Supervised Visual Representation Learning from Hierarchical Grouping

Pixel Consensus Voting for Panoptic Segmentation

Information-Theoretic Segmentation by Inpainting Error Maximization

Domain-Independent Dominance of Adaptive Methods

HyperFields: Towards Zero-Shot Generation of NeRFs from Text

Deciphering ‘What’ and ‘Where’ Visual Pathways from Spectral Clustering of Layer-Distributed Neural Representations

Accelerated Training via Incrementally Growing Neural Networks using Variance Transfer and Learning Rate Adaptation

Hierarchical Implicit Neural Emulators

PROGRESSOR: A Perceptually Guided Reward Estimator with Self-Supervised Online Refinement

Nested Diffusion Models Using Hierarchical Latent Priors

Not All Bits have Equal Value: Heterogeneous Precisions via Trainable Noise

Online Meta-Learning via Learning with Layer-Distributed Memory