Jesse Berent

According to our database, Jesse Berent authored at least 27 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Representing Online Handwriting for Recognition in Large Vision-Language Models.

Anastasiia Fadeeva, Philippe Schlattner, Andrii Maksai, Mark Collier, Efi Kokiopoulou, Jesse Berent, Claudiu Musat

CoRR, 2024

InkSight: Offline-to-Online Handwriting Conversion by Learning to Read and Write.

Blagoj Mitrevski, Arina Rak, Julian Schnitzler, Chengkun Li, Andrii Maksai, Jesse Berent, Claudiu Musat

CoRR, 2024

2023

Learning to Overcome Noise in Weak Caption Supervision for Object Detection.

Mesut Erhan Unal, Keren Ye, Mingda Zhang, Christopher Thomas, Adriana Kovashka, Wei Li, Danfeng Qin, Jesse Berent

IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

Three Towers: Flexible Contrastive Learning with Pretrained Image Models.

Jannik Kossen, Mark Collier, Basil Mustafa, Xiao Wang, Xiaohua Zhai, Lucas Beyer, Andreas Steiner, Jesse Berent, Rodolphe Jenatton, Effrosyni Kokiopoulou

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

When does Privileged information Explain Away Label Noise?

Guillermo Ortiz-Jiménez, Mark Collier, Anant Nawalgaria, Alexander Nicholas D'Amour, Jesse Berent, Rodolphe Jenatton, Efi Kokiopoulou

Proceedings of the International Conference on Machine Learning, 2023

Massively Scaling Heteroscedastic Classifiers.

Mark Collier, Rodolphe Jenatton, Basil Mustafa, Neil Houlsby, Jesse Berent, Effrosyni Kokiopoulou

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Deep Classifiers with Label Noise Modeling and Distance Awareness.

Vincent Fortuin, Mark Collier, Florian Wenzel, James Urquhart Allingham, Jeremiah Zhe Liu, Dustin Tran, Balaji Lakshminarayanan, Jesse Berent, Rodolphe Jenatton, Effrosyni Kokiopoulou

Trans. Mach. Learn. Res., 2022

Inkorrect: Online Handwriting Spelling Correction.

Andrii Maksai, Henry A. Rowley, Jesse Berent, Claudiu Musat

CoRR, 2022

Transfer and Marginalize: Explaining Away Label Noise with Privileged Information.

Mark Collier, Rodolphe Jenatton, Effrosyni Kokiopoulou, Jesse Berent

Proceedings of the International Conference on Machine Learning, 2022

2021

Correlated Input-Dependent Label Noise in Large-Scale Image Classification.

Mark Collier, Basil Mustafa, Efi Kokiopoulou, Rodolphe Jenatton, Jesse Berent

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

2020

Routing Networks with Co-training for Continual Learning.

Mark Collier, Efi Kokiopoulou, Andrea Gesmundo, Jesse Berent

CoRR, 2020

Analysis of Softmax Approximation for Deep Classifiers under Input-Dependent Label Noise.

Mark Collier, Basil Mustafa, Efi Kokiopoulou, Jesse Berent

CoRR, 2020

Task-Aware Performance Prediction for Efficient Architecture Search.

Efi Kokiopoulou, Anja Hauth, Luciano Sbaiz, Andrea Gesmundo, Gábor Bartók, Jesse Berent

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

2019

Ranking architectures using meta-learning.

Alina Dubatovka, Efi Kokiopoulou, Luciano Sbaiz, Andrea Gesmundo, Gábor Bartók, Jesse Berent

CoRR, 2019

Gumbel-Matrix Routing for Flexible Multi-task Learning.

Krzysztof Maziarz, Efi Kokiopoulou, Andrea Gesmundo, Luciano Sbaiz, Gábor Bartók, Jesse Berent

CoRR, 2019

Fast Task-Aware Architecture Inference.

Efi Kokiopoulou, Anja Hauth, Luciano Sbaiz, Andrea Gesmundo, Gábor Bartók, Jesse Berent

CoRR, 2019

Cap2Det: Learning to Amplify Weak Caption Supervision for Object Detection.

Keren Ye, Mingda Zhang, Adriana Kovashka, Wei Li, Danfeng Qin, Jesse Berent

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

2018

Learning to discover and localize visual objects with open vocabulary.

Keren Ye, Mingda Zhang, Wei Li, Danfeng Qin, Adriana Kovashka, Jesse Berent

CoRR, 2018

2017

WebVision Challenge: Visual Learning and Understanding With Web Data.

Wen Li, Limin Wang, Wei Li, Eirikur Agustsson, Jesse Berent, Abhinav Gupta, Rahul Sukthankar, Luc Van Gool

CoRR, 2017

2012

Layer-based sparse representation of multiview images.

Andriy Gelman, Jesse Berent, Pier Luigi Dragotti

EURASIP J. Adv. Signal Process., 2012

2010

Sampling piecewise sinusoidal signals with finite rate of innovation methods.

Jesse Berent, Pier Luigi Dragotti, Thierry Blu

IEEE Trans. Signal Process., 2010

2009

Adaptive layer extraction for image based rendering.

Jesse Berent, Pier Luigi Dragotti, Mike Brookes

Proceedings of the 2009 IEEE International Workshop on Multimedia Signal Processing, 2009

2007

Plenoptic Manifolds.

Jesse Berent, Pier Luigi Dragotti

IEEE Signal Process. Mag., 2007

Unsupervised Extraction of Coherent Regions for Image Based Rendering.

Jesse Berent, Pier Luigi Dragotti

Proceedings of the British Machine Vision Conference 2007, 2007

2006

Segmentation of Epipolar-Plane Image Volumes with Occlusion and Disocclusion Competition.

Jesse Berent, Pier Luigi Dragotti

Proceedings of the IEEE 8th Workshop on Multimedia Signal Processing, 2006

Perfect Reconstruction Schemes for Sampling Piecewise Sinusoidal Signals.

Jesse Berent, Pier Luigi Dragotti

Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

2004

Extended Depth-of-Focus for Multi-Channel Microscopy Images: A Complex Wavelet Approach.

Brigitte Forster, Dimitri Van De Ville, Jesse Berent, Daniel Sage, Michael Unser

Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004