Michael Maire

Rana Hanocka

CoRR, 2024

Latent Intrinsics Emerge from Training to Relight.

[BibT_eX]

[DOI]

CoRR, 2024

Residual Connections Harm Self-Supervised Abstract Feature Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Drop-Connect as a Fault-Tolerance Approach for RRAM-based Deep Neural Network Accelerators.

[BibT_eX]

[DOI]

Proceedings of the 42nd IEEE VLSI Test Symposium, 2024

CacheGen: KV Cache Compression and Streaming for Fast Large Language Model Serving.

[BibT_eX]

[DOI]

Ganesh Ananthanarayanan

Proceedings of the ACM SIGCOMM 2024 Conference, 2024

ChameleonAPI: Automatic and Efficient Customization of Neural Networks for ML Applications.

[BibT_eX]

[DOI]

Proceedings of the 18th USENIX Symposium on Operating Systems Design and Implementation, 2024

HyperFields: Towards Zero-Shot Generation of NeRFs from Text.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Deciphering 'What' and 'Where' Visual Pathways from Spectral Clustering of Layer-Distributed Neural Representations.

[BibT_eX]

[DOI]

Xiao Zhang

David Yunis

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Run-Time Prevention of Software Integration Failures of Machine Learning APIs.

[BibT_eX]

[DOI]

Proc. ACM Program. Lang., October, 2023

SySMOL: A Hardware-software Co-design Framework for Ultra-Low and Fine-Grained Mixed-Precision Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2023

CacheGen: Fast Context Loading for Language Model Applications.

[BibT_eX]

[DOI]

Ganesh Ananthanarayanan

Junchen Jiang

CoRR, 2023

Automatic and Efficient Customization of Neural Networks for ML Applications.

[BibT_eX]

[DOI]

CoRR, 2023

Structural Adversarial Objectives for Self-Supervised Representation Learning.

[BibT_eX]

[DOI]

Xiao Zhang

CoRR, 2023

Factorized Diffusion Architectures for Unsupervised Image Generation and Segmentation.

[BibT_eX]

[DOI]

CoRR, 2023

Evaluating Machine Learning Models with NERO: Non-Equivariance Revealed on Orbits.

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Boosting Contrastive Self-Supervised Learning with False Negative Cancellation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

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

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Automated Testing of Software that Uses Machine Learning APIs.

[BibT_eX]

[DOI]

Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

2021

Meta-Learning via Learning with Distributed Memory.

[BibT_eX]

[DOI]

Sudarshan Babu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

A Replication of Are Machine Learning Cloud APIs Used Correctly.

[BibT_eX]

[DOI]

Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering: Companion Proceedings, 2021

Are Machine Learning Cloud APIs Used Correctly?

[BibT_eX]

[DOI]

Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering, 2021

Growing Efficient Deep Networks by Structured Continuous Sparsification.

[BibT_eX]

[DOI]

Pedro Henrique Pamplona Savarese

Proceedings of the 9th International Conference on Learning Representations, 2021

Multimodal Contrastive Training for Visual Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Domain-Independent Dominance of Adaptive Methods.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Information-Theoretic Segmentation by Inpainting Error Maximization.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

ALERT: Accurate Learning for Energy and Timeliness.

[BibT_eX]

[DOI]

Chengcheng Wan

Muhammad Husni Santriaji

Proceedings of the 2020 USENIX Annual Technical Conference, 2020

Self-Supervised Visual Representation Learning from Hierarchical Grouping.

[BibT_eX]

[DOI]

Xiao Zhang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Winning the Lottery with Continuous Sparsification.

[BibT_eX]

[DOI]

Hugo Silva

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Orthogonalized SGD and Nested Architectures for Anytime Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Multigrid Neural Memory.

[BibT_eX]

[DOI]

Tri Huynh

Matthew R. Walter

Proceedings of the 37th International Conference on Machine Learning, 2020

Pixel Consensus Voting for Panoptic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

ALERT: Accurate Anytime Learning for Energy and Timeliness.

[BibT_eX]

[DOI]

Chengcheng Wan

Muhammad Husni Santriaji

CoRR, 2019

Learning Implicitly Recurrent CNNs Through Parameter Sharing.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Sparsely Aggregated Convolutional Networks.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

Self-Supervised Relative Depth Learning for Urban Scene Understanding.

[BibT_eX]

[DOI]

Erik G. Learned-Miller

Proceedings of the Computer Vision - ECCV 2018, 2018

Regularizing Deep Networks by Modeling and Predicting Label Structure.

[BibT_eX]

[DOI]

Mohammadreza Mostajabi

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Self-Supervised Depth Learning for Urban Scene Understanding.

[BibT_eX]

[DOI]

Huaizu Jiang

Erik G. Learned-Miller

Greg Shakhnarovich

CoRR, 2017

FractalNet: Ultra-Deep Neural Networks without Residuals.

[BibT_eX]

[DOI]

Proceedings of the 5th International Conference on Learning Representations, 2017

Colorization as a Proxy Task for Visual Understanding.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Multigrid Neural Architectures.

[BibT_eX]

[DOI]

Tsung-Wei Ke

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Neural Multigrid.

[BibT_eX]

[DOI]

Tsung-Wei Ke

CoRR, 2016

Learning Representations for Automatic Colorization.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2016, 2016

Affinity CNN: Learning Pixel-Centric Pairwise Relations for Figure/Ground Embedding.

[BibT_eX]

[DOI]

Takuya Narihira

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Direct Intrinsics: Learning Albedo-Shading Decomposition by Convolutional Regression.

[BibT_eX]

[DOI]

Takuya Narihira

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Learning lightness from human judgement on relative reflectance.

[BibT_eX]

[DOI]

Takuya Narihira

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Corner Detection.

[BibT_eX]

[DOI]

Computer Vision, A Reference Guide, 2014

Microsoft COCO: Common Objects in Context.

[BibT_eX]

[DOI]

CoRR, 2014

Microsoft COCO: Common Objects in Context.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2014, 2014

Reconstructive Sparse Code Transfer for Contour Detection and Semantic Labeling.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ACCV 2014, 2014

2013

Progressive Multigrid Eigensolvers for Multiscale Spectral Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2013

Hierarchical Scene Annotation.

[BibT_eX]

[DOI]

Proceedings of the British Machine Vision Conference, 2013

2011

Contour Detection and Hierarchical Image Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2011

Object detection and segmentation from joint embedding of parts and pixels.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2011

Occlusion boundary detection and figure/ground assignment from optical flow.

[BibT_eX]

[DOI]

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010

Simultaneous Segmentation and Figure/Ground Organization Using Angular Embedding.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision, 2010

2009

From contours to regions: An empirical evaluation.

[BibT_eX]

[DOI]

Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008

Using contours to detect and localize junctions in natural images.

[BibT_eX]

[DOI]

Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2006

SVM-KNN: Discriminative Nearest Neighbor Classification for Visual Category Recognition.

[BibT_eX]

[DOI]

Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

2004

Making Latin Manuscripts Searchable using gHMMs.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Recognition by Probabilistic Hypothesis Construction.

[BibT_eX]

[DOI]

Pierre Moreels