Negar Rostamzadeh

Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023

2022

Redefining Relationships in Music.

[BibT_eX]

[DOI]

CoRR, 2022

Sociotechnical Harms: Scoping a Taxonomy for Harm Reduction.

[BibT_eX]

[DOI]

CoRR, 2022

Inducing bias is simpler than you think.

[BibT_eX]

[DOI]

Stefano Sarao Mannelli

Federica Gerace

Lindiwe Brigitte Malobola

Luca Saglietti

CoRR, 2022

Looking at Creative ML Blindspots with a Sociological Lens.

[BibT_eX]

[DOI]

CoRR, 2022

se-Shweshwe Inspired Fashion Generation.

[BibT_eX]

[DOI]

Shakir Mohamed

CoRR, 2022

Healthsheet: Development of a Transparency Artifact for Health Datasets.

[BibT_eX]

[DOI]

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

Evaluation Gaps in Machine Learning Practice.

[BibT_eX]

[DOI]

Vinodkumar Prabhakaran

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

Disability prediction in multiple sclerosis using performance outcome measures and demographic data.

[BibT_eX]

[DOI]

Fletcher Lee Hartsell

Katherine A. Heller

Proceedings of the Conference on Health, Inference, and Learning, 2022

2021

Ethics and Creativity in Computer Vision.

[BibT_eX]

[DOI]

Emily Denton

Linda Petrini

CoRR, 2021

Thinking Beyond Distributions in Testing Machine Learned Models.

[BibT_eX]

[DOI]

Ben Hutchinson

Christina Greer

Vinodkumar Prabhakaran

CoRR, 2021

Artsheets for Art Datasets.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Deep Cox Mixtures for Survival Regression.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning for Healthcare Conference, 2021

2020

Post-Workshop Report on Science meets Engineering in Deep Learning, NeurIPS 2019, Vancouver.

[BibT_eX]

[DOI]

Stefano Sarao Mannelli

CoRR, 2020

A Few-Shot Sequential Approach for Object Counting.

[BibT_eX]

[DOI]

CoRR, 2020

Reinforced active learning for image segmentation.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

Proposal-Based Instance Segmentation With Point Supervision.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Image Processing, 2020

CLAREL: Classification via retrieval loss for zero-shot learning.

[BibT_eX]

[DOI]

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

2019

Fine-grained zero-shot recognition with metric rescaling.

[BibT_eX]

[DOI]

CoRR, 2019

Instance Segmentation with Point Supervision.

[BibT_eX]

[DOI]

CoRR, 2019

Reinforced Imitation in Heterogeneous Action Space.

[BibT_eX]

[DOI]

CoRR, 2019

Towards Standardization of Data Licenses: The Montreal Data License.

[BibT_eX]

[DOI]

CoRR, 2019

Adaptive Cross-Modal Few-shot Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Neural Multisensory Scene Inference.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Domain-Adaptive Single-View 3D Reconstruction.

[BibT_eX]

[DOI]

Pedro O. Pinheiro

Sungjin Ahn

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Adversarial Framing for Image and Video Classification.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Learning Single-View 3D Reconstruction with Adversarial Training.

[BibT_eX]

[DOI]

Pedro O. Pinheiro

Sungjin Ahn

CoRR, 2018

Fashion-Gen: The Generative Fashion Dataset and Challenge.

[BibT_eX]

[DOI]

CoRR, 2018

Uncertainty in Multitask Transfer Learning.

[BibT_eX]

[DOI]

CoRR, 2018

Hierarchical Adversarially Learned Inference.

[BibT_eX]

[DOI]

Mohamed Ishmael Belghazi

CoRR, 2018

Deep Complex Networks.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Learning Representations, 2018

Where Are the Blobs: Counting by Localization with Point Supervision.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

Video Scene Understanding: Semantic-based representation, Temporal Variation Modeling, Multi-Task Learning.

[BibT_eX]

[DOI]

PhD thesis, 2017

Deep Prior.

[BibT_eX]

[DOI]

CoRR, 2017

Deep Complex Networks.

[BibT_eX]

[DOI]

CoRR, 2017

2015

Cluster encoding for modelling temporal variation in video.

[BibT_eX]

[DOI]

Ionut Mironica

Mojtaba Khomami Abadi

Bogdan Ionescu

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

2014

A Multi-task Learning Framework for Time-continuous Emotion Estimation from Crowd Annotations.

[BibT_eX]

[DOI]

Mojtaba Khomami Abadi

Azad Abad

Ramanathan Subramanian

Elisa Ricci

Jagannadan Varadarajan

Proceedings of the 2014 International ACM Workshop on Crowdsourcing for Multimedia, 2014

Realtime Video Classification using Dense HOF/HOG.

[BibT_eX]

[DOI]

I. C. Duta

Proceedings of the International Conference on Multimedia Retrieval, 2014

It's all about habits: Exploiting multi-task clustering for activities of daily living analysis.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

2013

Time matters!: capturing variation in time in video using fisher kernels.

[BibT_eX]

[DOI]

Ionut Mironica

Bogdan Ionescu

Proceedings of the ACM Multimedia Conference, 2013

Daily Living Activities Recognition via Efficient High and Low Level Cues Combination and Fisher Kernel Representation.

[BibT_eX]

[DOI]

Gloria Zen

Ionut Mironica