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2003.08237
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Fixing the train-test resolution discrepancy: FixEfficientNet
18 March 2020
Hugo Touvron
Andrea Vedaldi
Matthijs Douze
Edouard Grave
AAML
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Papers citing
"Fixing the train-test resolution discrepancy: FixEfficientNet"
50 / 52 papers shown
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12 Dec 2022
Accelerating Self-Supervised Learning via Efficient Training Strategies
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Timothy M. Hospedales
Hakan Bilen
SSL
208
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11 Dec 2022
Capturing the Flow of Art History
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07 Dec 2022
DeiT III: Revenge of the ViT
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Hugo Touvron
Matthieu Cord
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428
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14 Apr 2022
Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision
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Quentin Duval
Isaac Seessel
Mathilde Caron
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Levent Sagun
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482
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16 Feb 2022
Towards an Analytical Definition of Sufficient Data
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T. Kalganova
262
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07 Feb 2022
Recognition-Aware Learned Image Compression
Computational Imaging (CI), 2022
Maxime Kawawa-Beaudan
Ryan Roggenkemper
A. Zakhor
285
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01 Feb 2022
Enhanced Performance of Pre-Trained Networks by Matched Augmentation Distributions
IEEE International Joint Conference on Neural Network (IJCNN), 2022
T. Ahmad
Mohsen Jafarzadeh
A. Dhamija
Ryan Rabinowitz
Steve Cruz
Chunchun Li
Terrance E. Boult
201
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19 Jan 2022
Learnable Adaptive Cosine Estimator (LACE) for Image Classification
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2021
Joshua Peeples
Connor H. McCurley
Sarah Walker
Dylan Stewart
Alina Zare
326
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11 Oct 2021
Compute and Energy Consumption Trends in Deep Learning Inference
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Fernando Martínez-Plumed
José Hernández-Orallo
215
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12 Sep 2021
Revealing the Distributional Vulnerability of Discriminators by Implicit Generators
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LongBing Cao
Kun-Yu Lin
534
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23 Aug 2021
Explaining Bayesian Neural Networks
Kirill Bykov
Marina M.-C. Höhne
Adelaida Creosteanu
Klaus-Robert Muller
Frederick Klauschen
Shinichi Nakajima
Matthias Kirchler
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466
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23 Aug 2021
Backward-Compatible Prediction Updates: A Probabilistic Approach
Frederik Trauble
Julius von Kügelgen
Matthäus Kleindessner
Francesco Locatello
Bernhard Schölkopf
Peter V. Gehler
346
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02 Jul 2021
Deep Ensembling with No Overhead for either Training or Testing: The All-Round Blessings of Dynamic Sparsity
International Conference on Learning Representations (ICLR), 2021
Shiwei Liu
Tianlong Chen
Zahra Atashgahi
Xiaohan Chen
Ghada Sokar
Elena Mocanu
Mykola Pechenizkiy
Zinan Lin
Decebal Constantin Mocanu
OOD
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28 Jun 2021
Sparse Training via Boosting Pruning Plasticity with Neuroregeneration
Neural Information Processing Systems (NeurIPS), 2021
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Tianlong Chen
Xiaohan Chen
Zahra Atashgahi
Lu Yin
Huanyu Kou
Li Shen
Mykola Pechenizkiy
Zinan Lin
Decebal Constantin Mocanu
415
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19 Jun 2021
XCiT: Cross-Covariance Image Transformers
Neural Information Processing Systems (NeurIPS), 2021
Alaaeldin El-Nouby
Hugo Touvron
Mathilde Caron
Piotr Bojanowski
Matthijs Douze
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Ivan Laptev
Natalia Neverova
Gabriel Synnaeve
Jakob Verbeek
Edouard Grave
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17 Jun 2021
Making EfficientNet More Efficient: Exploring Batch-Independent Normalization, Group Convolutions and Reduced Resolution Training
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Tackling the Background Bias in Sparse Object Detection via Cropped Windows
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275
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Content-Augmented Feature Pyramid Network with Light Linear Spatial Transformers for Object Detection
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Yongxiang Gu
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Lu Li
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283
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20 May 2021
Stealthy Backdoors as Compression Artifacts
IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2021
Yulong Tian
Fnu Suya
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David Evans
292
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30 Apr 2021
ORBIT: A Real-World Few-Shot Dataset for Teachable Object Recognition
IEEE International Conference on Computer Vision (ICCV), 2021
Daniela Massiceti
L. Zintgraf
J. Bronskill
Lida Theodorou
Matthew Tobias Harris
Edward Cutrell
C. Morrison
Katja Hofmann
Simone Stumpf
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08 Apr 2021
EfficientNetV2: Smaller Models and Faster Training
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Going deeper with Image Transformers
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Matthieu Cord
Alexandre Sablayrolles
Gabriel Synnaeve
Edouard Grave
ViT
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1,257
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31 Mar 2021
Pixel-wise Anomaly Detection in Complex Driving Scenes
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Giancarlo Di Biase
Hermann Blum
Roland Siegwart
Cesar Cadena
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09 Mar 2021
Pufferfish: Communication-efficient Models At No Extra Cost
Conference on Machine Learning and Systems (MLSys), 2021
Hongyi Wang
Saurabh Agarwal
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183
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05 Mar 2021
Multi-modal anticipation of stochastic trajectories in a dynamic environment with Conditional Variational Autoencoders
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166
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Self-supervised Pretraining of Visual Features in the Wild
Priya Goyal
Mathilde Caron
Benjamin Lefaudeux
Min Xu
Pengchao Wang
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Vitaliy Liptchinsky
Ishan Misra
Armand Joulin
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369
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02 Mar 2021
Exploiting latent representation of sparse semantic layers for improved short-term motion prediction with Capsule Networks
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Albert Dulian
J. Murray
3DPC
305
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02 Mar 2021
Momentum Residual Neural Networks
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Michael E. Sander
Pierre Ablin
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15 Feb 2021
Estimating Galactic Distances From Images Using Self-supervised Representation Learning
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Z. Lukić
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SSL
111
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12 Jan 2021
Training data-efficient image transformers & distillation through attention
International Conference on Machine Learning (ICML), 2020
Hugo Touvron
Matthieu Cord
Matthijs Douze
Francisco Massa
Alexandre Sablayrolles
Edouard Grave
ViT
776
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Rethinking FUN: Frequency-Domain Utilization Networks
Kfir Goldberg
Stav Shapiro
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S. Avidan
215
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Grafit: Learning fine-grained image representations with coarse labels
IEEE International Conference on Computer Vision (ICCV), 2020
Hugo Touvron
Alexandre Sablayrolles
Matthijs Douze
Matthieu Cord
Edouard Grave
SSL
202
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Data Augmentation via Structured Adversarial Perturbations
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H. Mobahi
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203
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An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
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Estimating the Brittleness of AI: Safety Integrity Levels and the Need for Testing Out-Of-Distribution Performance
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Object Detection-Based Variable Quantization Processing
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Short-term Traffic Prediction with Deep Neural Networks: A Survey
IEEE Access (IEEE Access), 2020
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Moonjung Eo
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Yoonjin Yoon
Wonjong Rhee
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State-of-the-art Techniques in Deep Edge Intelligence
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358
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On Robustness and Transferability of Convolutional Neural Networks
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D. Moldovan
Sylvain Gelly
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S. M. Jalali
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D. Srinivasan
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Raja Giryes
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237
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Ravi Krishna
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CNN Acceleration by Low-rank Approximation with Quantized Factors
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Anh-Huy Phan
MQ
132
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ResKD: Residual-Guided Knowledge Distillation
Xuewei Li
Songyuan Li
Bourahla Omar
Leilei Gan
Xi Li
473
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08 Jun 2020
Meta Pseudo Labels
Computer Vision and Pattern Recognition (CVPR), 2020
Hieu H. Pham
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Qizhe Xie
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