Jesse Berent

According to our database1, Jesse Berent authored at least 27 papers between 2004 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
InkSight: Offline-to-Online Handwriting Conversion by Learning to Read and Write.
CoRR, 2024

2023
Learning to Overcome Noise in Weak Caption Supervision for Object Detection.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

Three Towers: Flexible Contrastive Learning with Pretrained Image Models.
CoRR, 2023

Three Towers: Flexible Contrastive Learning with Pretrained Image Models.
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?
Proceedings of the International Conference on Machine Learning, 2023

Massively Scaling Heteroscedastic Classifiers.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Deep Classifiers with Label Noise Modeling and Distance Awareness.
Trans. Mach. Learn. Res., 2022

Inkorrect: Online Handwriting Spelling Correction.
CoRR, 2022

Transfer and Marginalize: Explaining Away Label Noise with Privileged Information.
Proceedings of the International Conference on Machine Learning, 2022

2021
Correlated Input-Dependent Label Noise in Large-Scale Image Classification.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Routing Networks with Co-training for Continual Learning.
CoRR, 2020

Analysis of Softmax Approximation for Deep Classifiers under Input-Dependent Label Noise.
CoRR, 2020

Task-Aware Performance Prediction for Efficient Architecture Search.
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.
CoRR, 2019

Gumbel-Matrix Routing for Flexible Multi-task Learning.
CoRR, 2019

Fast Task-Aware Architecture Inference.
CoRR, 2019

Cap2Det: Learning to Amplify Weak Caption Supervision for Object Detection.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
Learning to discover and localize visual objects with open vocabulary.
CoRR, 2018

2017
WebVision Challenge: Visual Learning and Understanding With Web Data.
CoRR, 2017

2012
Layer-based sparse representation of multiview images.
EURASIP J. Adv. Signal Process., 2012

2010
Sampling piecewise sinusoidal signals with finite rate of innovation methods.
IEEE Trans. Signal Process., 2010

2009
Adaptive layer extraction for image based rendering.
Proceedings of the 2009 IEEE International Workshop on Multimedia Signal Processing, 2009

2007
Plenoptic Manifolds.
IEEE Signal Process. Mag., 2007

Unsupervised Extraction of Coherent Regions for Image Based Rendering.
Proceedings of the British Machine Vision Conference 2007, 2007

2006
Segmentation of Epipolar-Plane Image Volumes with Occlusion and Disocclusion Competition.
Proceedings of the IEEE 8th Workshop on Multimedia Signal Processing, 2006

Perfect Reconstruction Schemes for Sampling Piecewise Sinusoidal Signals.
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.
Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004


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