Jesse Berent

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All published works
Action Title Year Authors
+ PDF Chat Representing Online Handwriting for Recognition in Large Vision-Language Models 2024 Anastasiia I. Fadeeva
Philippe Schlattner
Andrii Maksai
Mark Collier
Efi Kokiopoulou
Jesse Berent
Claudiu Musat
+ PDF Chat InkSight: Offline-to-Online Handwriting Conversion by Learning to Read and Write 2024 Blagoj Mitrevski
Arina Rak
J. Schnitzler
Chengkun Li
Andrii Maksai
Jesse Berent
Claudiu Musat
+ Massively Scaling Heteroscedastic Classifiers 2023 Mark Collier
Rodolphe Jenatton
Basil Mustafa
Neil Houlsby
Jesse Berent
Effrosyni Kokiopoulou
+ When does Privileged Information Explain Away Label Noise? 2023 Guillermo Ortiz-Jiménez
Mark Collier
Anant Nawalgaria
Alexander D’Amour
Jesse Berent
Rodolphe Jenatton
Effrosyni Kokiopoulou
+ Three Towers: Flexible Contrastive Learning with Pretrained Image Models 2023 Jannik Kossen
Mark Collier
Basil Mustafa
Xiao Wang
Xiaohua Zhai
Lucas Beyer
Andreas Steiner
Jesse Berent
Rodolphe Jenatton
Efi Kokiopoulou
+ Transfer and Marginalize: Explaining Away Label Noise with Privileged Information 2022 Mark Collier
Rodolphe Jenatton
Efi Kokiopoulou
Jesse Berent
+ Inkorrect: Online Handwriting Spelling Correction 2022 Andrii Maksai
Henry A. Rowley
Jesse Berent
Claudiu Musat
+ PDF Chat Correlated Input-Dependent Label Noise in Large-Scale Image Classification 2021 Mark Collier
Basil Mustafa
Efi Kokiopoulou
Rodolphe Jenatton
Jesse Berent
+ Correlated Input-Dependent Label Noise in Large-Scale Image Classification 2021 Mark Collier
Basil Mustafa
Efi Kokiopoulou
Rodolphe Jenatton
Jesse Berent
+ Deep Classifiers with Label Noise Modeling and Distance Awareness 2021 Vincent Fortuin
Mark Collier
Florian Wenzel
James Urquhart Allingham
Jeremiah Zhe Liu
Dustin Tran
Balaji Lakshminarayanan
Jesse Berent
Rodolphe Jenatton
Effrosyni Kokiopoulou
+ Correlated Input-Dependent Label Noise in Large-Scale Image Classification 2021 Mark Collier
Basil Mustafa
Efi Kokiopoulou
Rodolphe Jenatton
Jesse Berent
+ Routing Networks with Co-training for Continual Learning 2020 Mark Collier
Efi Kokiopoulou
Andréa Gesmundo
Jesse Berent
+ A Simple Probabilistic Method for Deep Classification under Input-Dependent Label Noise 2020 Mark Collier
Basil Mustafa
Efi Kokiopoulou
Rodolphe Jenatton
Jesse Berent
+ Flexible Multi-task Networks by Learning Parameter Allocation 2019 Krzysztof Maziarz
Efi Kokiopoulou
Andréa Gesmundo
Luciano Sbaiz
Gábor Bartók
Jesse Berent
+ PDF Chat Cap2Det: Learning to Amplify Weak Caption Supervision for Object Detection 2019 Keren Ye
Mingda Zhang
Adriana Kovashka
Wei Li
Danfeng Qin
Jesse Berent
+ Gumbel-Matrix Routing for Flexible Multi-task Learning 2019 Krzysztof Maziarz
Efi Kokiopoulou
Andréa Gesmundo
Luciano Sbaiz
Gábor Bartók
Jesse Berent
+ Fast Task-Aware Architecture Inference 2019 Efi Kokiopoulou
Anja Hauth
Luciano Sbaiz
Andréa Gesmundo
Gábor Bartók
Jesse Berent
+ Cap2Det: Learning to Amplify Weak Caption Supervision for Object Detection 2019 Keren Ye
Mingda Zhang
Adriana Kovashka
Wei Li
Danfeng Qin
Jesse Berent
+ Ranking architectures using meta-learning 2019 Alina Dubatovka
Effrosyni Kokiopoulou
Luciano Sbaiz
Andréa Gesmundo
Gábor Bartók
Jesse Berent
+ Fast Task-Aware Architecture Inference 2019 Efi Kokiopoulou
Anja Hauth
Luciano Sbaiz
Andréa Gesmundo
Gábor Bartók
Jesse Berent
+ Flexible Multi-task Networks by Learning Parameter Allocation 2019 Krzysztof Maziarz
Efi Kokiopoulou
Andréa Gesmundo
Luciano Sbaiz
Gábor Bartók
Jesse Berent
+ Learning to discover and localize visual objects with open vocabulary 2018 Keren Ye
Mingda Zhang
Wei Li
Danfeng Qin
Adriana Kovashka
Jesse Berent
+ WebVision Challenge: Visual Learning and Understanding With Web Data 2017 Wen Li
Limin Wang
Wei Li
Eirikur Agustsson
Jesse Berent
Abhinav Gupta
Rahul Sukthankar
Luc Van Gool
+ PDF Chat Sampling Piecewise Sinusoidal Signals With Finite Rate of Innovation Methods 2009 Jesse Berent
Pier Luigi Dragotti
Thierry Blu
+ Plenoptic Manifolds 2007 Jesse Berent
Pier Luigi Dragotti
+ PDF Chat Perfect Reconstruction Schemes for Sampling Piecewise Sinusoidal Signals 2006 Jesse Berent
Pier Luigi Dragotti
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ WebVision Database: Visual Learning and Understanding from Web Data 2017 Wen Li
Limin Wang
Li Wei
Eirikur Agustsson
Luc Van Gool
5
+ PDF Chat Deep Residual Learning for Image Recognition 2016 Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
4
+ Microsoft COCO Captions: Data Collection and Evaluation Server 2015 Xinlei Chen
Hao Fang
Tsung-Yi Lin
Ramakrishna Vedantam
Saurabh Gupta
Piotr Dollár
C. Lawrence Zitnick
3
+ Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks 2015 Shaoqing Ren
Kaiming He
Ross Girshick
Jian Sun
3
+ Regression with Input-Dependent Noise: A Bayesian Treatment 1996 Chris Bishop
Cazhaow S. Quazaz
3
+ Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles 2016 Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
3
+ The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables 2016 Chris J. Maddison
Andriy Mnih
Yee Whye Teh
3
+ Mind the Nuisance: Gaussian Process Classification using Privileged Noise 2014 Daniel Hernández-Lobato
Viktoriia Sharmanska
Kristian Kersting
Christoph H. Lampert
Novi Quadrianto
3
+ PDF Chat Xception: Deep Learning with Depthwise Separable Convolutions 2017 François Chollet
3
+ PDF Chat TS$$^{2}$$C: Tight Box Mining with Surrounding Segmentation Context for Weakly Supervised Object Detection 2018 Yunchao Wei
Zhiqiang Shen
Bowen Cheng
Humphrey Shi
Jinjun Xiong
Jiashi Feng
Thomas Huang
3
+ Neural Architecture Search with Reinforcement Learning 2016 Barret Zoph
Quoc V. Le
3
+ Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning 2015 Yarin Gal
Zoubin Ghahramani
3
+ PDF Chat Grounding of Textual Phrases in Images by Reconstruction 2016 Anna Rohrbach
Marcus Rohrbach
Ronghang Hu
Trevor Darrell
Bernt Schiele
3
+ PDF Chat ADVISE: Symbolism and External Knowledge for Decoding Advertisements 2018 Keren Ye
Adriana Kovashka
3
+ Categorical Reparameterization with Gumbel-Softmax 2016 Eric Jang
Shixiang Gu
Ben Poole
3
+ Are we done with ImageNet 2020 Lucas Beyer
Olivier J. Hénaff
Alexander Kolesnikov
Xiaohua Zhai
Aäron van den Oord
3
+ PDF Chat Weakly Supervised Cascaded Convolutional Networks 2017 Ali Diba
Vivek Sharma
Ali Mohammad Pazandeh
Hamed Pirsiavash
Luc Van Gool
3
+ Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer 2017 Noam Shazeer
Azalia Mirhoseini
Krzysztof Maziarz
Andy Davis
Quoc V. Le
Geoffrey E. Hinton
Jeff Dean
3
+ Bayesian Deep Learning and a Probabilistic Perspective of Generalization 2020 Andrew Gordon Wilson
Pavel Izmailov
3
+ Training Deep Neural Networks on Noisy Labels with Bootstrapping 2014 Scott Reed
Honglak Lee
Dragomir Anguelov
Christian Szegedy
Dumitru Erhan
Andrew Rabinovich
3
+ Weight Uncertainty in Neural Networks 2015 Charles Blundell
Julien Cornebise
Koray Kavukcuoglu
Daan Wierstra
3
+ PDF Chat Cross-Stitch Networks for Multi-task Learning 2016 Ishan Misra
Abhinav Shrivastava
Abhinav Gupta
Martial Hebert
2
+ Distilling the Knowledge in a Neural Network 2015 Geoffrey E. Hinton
Oriol Vinyals
Jay B. Dean
2
+ PDF Chat Weakly Supervised Deep Detection Networks 2016 Hakan Bilen
Andrea Vedaldi
2
+ PDF Chat Evolutionary architecture search for deep multitask networks 2018 Jason Liang
Elliot Meyerson
Risto Miikkulainen
2
+ PDF Chat You Only Look Once: Unified, Real-Time Object Detection 2016 Joseph Redmon
Santosh Divvala
Ross Girshick
Ali Farhadi
2
+ PDF Chat CleanNet: Transfer Learning for Scalable Image Classifier Training with Label Noise 2018 Kuang-Huei Lee
Xiaodong He
Lei Zhang
Linjun Yang
2
+ PDF Chat SpotTune: Transfer Learning Through Adaptive Fine-Tuning 2019 Yunhui Guo
Humphrey Shi
Abhishek Kumar
Kristen Grauman
Tajana Rosing
Rogério Feris
2
+ PDF Chat Sampling signals with finite rate of innovation 2002 Martin Vetterli
Pina Marziliano
Thierry Blu
2
+ Beyond Shared Hierarchies: Deep Multitask Learning through Soft Layer Ordering 2017 Elliot Meyerson
Risto Miikkulainen
2
+ PDF Chat Speed/Accuracy Trade-Offs for Modern Convolutional Object Detectors 2017 Jonathan Huang
Vivek Rathod
Chen Sun
Menglong Zhu
Anoop Korattikara
Alireza Fathi
Ian Fischer
Zbigniew Wojna
Yang Song
Sergio Guadarrama
2
+ PDF Chat Revisiting Unreasonable Effectiveness of Data in Deep Learning Era 2017 Chen Sun
Abhinav Shrivastava
Saurabh Singh
Abhinav Gupta
2
+ PDF Chat Domain Adaptive Faster R-CNN for Object Detection in the Wild 2018 Yuhua Chen
Li Wen
Christos Sakaridis
Dengxin Dai
Luc Van Gool
2
+ PDF Chat Exact Sampling Results for Signals with Finite Rate of Innovation using Strang-Fix Conditions and Local Kernels 2006 Pier Luigi Dragotti
Martin Vetterli
T. Blu
2
+ PDF Chat A Hierarchical Approach for Generating Descriptive Image Paragraphs 2017 Jonathan Krause
Justin Johnson
Ranjay Krishna
Li Fei-Fei
2
+ Deep Learning for Generic Object Detection: A Survey 2018 Li Liu
Wanli Ouyang
Xiaogang Wang
Paul Fieguth
Jie Chen
Xinwang Liu
Matti Pietikäinen
2
+ <i>Ask the GRU</i> 2016 Trapit Bansal
David Belanger
Andrew McCallum
2
+ PDF Chat CurriculumNet: Weakly Supervised Learning from Large-Scale Web Images 2018 Sheng Guo
Weilin Huang
Haozhi Zhang
Chenfan Zhuang
Dengke Dong
Matthew R. Scott
Ding-Long Huang
2
+ PDF Chat Artistic Object Recognition by Unsupervised Style Adaptation 2019 Christopher Thomas
Adriana Kovashka
2
+ TensorFlow: A system for large-scale machine learning 2016 Martı́n Abadi
Paul Barham
Jianmin Chen
Zhifeng Chen
Andy Davis
Jay B. Dean
Matthieu Devin
Sanjay Ghemawat
Geoffrey Irving
Michael Isard
2
+ PDF Chat ContextLocNet: Context-Aware Deep Network Models for Weakly Supervised Localization 2016 Vadim Kantorov
Maxime Oquab
Minsu Cho
Ivan Laptev
2
+ PDF Chat Min-Entropy Latent Model for Weakly Supervised Object Detection 2018 Fang Wan
Pengxu Wei
Jianbin Jiao
Zhenjun Han
Qixiang Ye
2
+ Group Normalization 2018 Yuxin Wu
Kaiming He
2
+ PDF Chat PCL: Proposal Cluster Learning for Weakly Supervised Object Detection 2018 Peng Tang
Xinggang Wang
Song Bai
Wei Shen
Xiang Bai
Wenyu Liu
Alan Yuille
2
+ PDF Chat Learning Deep Features for Discriminative Localization 2016 Bolei Zhou
Aditya Khosla
Àgata Lapedriza
Aude Oliva
Antonio Torralba
2
+ PDF Chat Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering 2018 Peter Anderson
Xiaodong He
Chris Buehler
Damien Teney
Mark Johnson
Stephen Jay Gould
Lei Zhang
2
+ PDF Chat Rethinking the Inception Architecture for Computer Vision 2016 Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jon Shlens
Zbigniew Wojna
2
+ What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? 2017 Alex Kendall
Yarin Gal
2
+ PDF Chat Seeing through the Human Reporting Bias: Visual Classifiers from Noisy Human-Centric Labels 2016 Ishan Misra
C. Lawrence Zitnick
Margaret Mitchell
Ross Girshick
2
+ PDF Chat Multiple Instance Detection Network with Online Instance Classifier Refinement 2017 Peng Tang
Xinggang Wang
Xiang Bai
Wenyu Liu
2