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References from Selecting and Distilling Cross-Label Models. Local targets link to admitted publications; unresolved targets remain external evidence.
10.1007/s11263-021-01453-z
10.1007/s11263-021-01453-z · External reference
Distilling the knowledge in a neural network
2015 · External reference
10.1007/978-3-031-19809-0_29
10.1007/978-3-031-19809-0_29 · External reference
Model compression via distillation and quantization
2018 · External reference
10.1109/cvpr.2017.754
10.1109/cvpr.2017.754 · External reference
10.5555/3524938.3525087
10.5555/3524938.3525087 · External reference
10.1109/cvpr42600.2020.00975
10.1109/cvpr42600.2020.00975 · External reference
Supervised contrastive learning
2020 · External reference
10.1109/cvpr52688.2022.01553
10.1109/cvpr52688.2022.01553 · External reference
10.1109/jiot.2021.3078407
10.1109/jiot.2021.3078407 · External reference
10.1109/cvpr.2016.90
10.1109/cvpr.2016.90 · External reference
10.48550/arxiv.1706.03762
10.48550/arxiv.1706.03762 · External reference
An image is worth 16x16 words: Transformers for image recognition at scale
2021 · External reference
Language models are few-shot learners
2020 · External reference
MLP-Mixer: An all-MLP architecture for vision
2021 · External reference
10.1109/iccv48922.2021.00872
10.1109/iccv48922.2021.00872 · External reference
Transferability in deep learning: A survey
2022 · External reference
10.1109/iccv.2019.00148
10.1109/iccv.2019.00148 · External reference
LEEP: A new measure to evaluate transferability of learned representations
2020 · External reference
LogME: Practical assessment of pre-trained models for transfer learning
2021 · External reference
Ranking and tuning pre-trained models: A new paradigm of exploiting model hubs
2022 · External reference
Zoo-tuning: Adaptive transfer from a zoo of models
2021 · External reference
10.1109/icip.2019.8803726
10.1109/icip.2019.8803726 · External reference
10.1007/978-3-031-19830-4_15
10.1007/978-3-031-19830-4_15 · External reference
10.1109/cvpr.2019.00409
10.1109/cvpr.2019.00409 · External reference
FitNets: Hints for thin deep nets
2015 · External reference
10.1109/cvpr42600.2020.01241
10.1109/cvpr42600.2020.01241 · External reference
10.1007/978-3-030-58555-6_19
10.1007/978-3-030-58555-6_19 · External reference
10.1109/cvpr46437.2021.01603
10.1109/cvpr46437.2021.01603 · External reference
10.1109/iccv.2019.00145
10.1109/iccv.2019.00145 · External reference
10.1109/cvpr.2019.00726
10.1109/cvpr.2019.00726 · External reference
10.1561/2200000073 · Admitted local publication
Entropic optimal transport in machine learning: Applications to distributional regression, barycentric estimation and probability matching
2021 · External reference
10.1109/cvpr46437.2021.00813
10.1109/cvpr46437.2021.00813 · External reference
Sinkhorn distances: Lightspeed computation of optimal transport
2013 · External reference
10.1109/cvpr46437.2021.00269
10.1109/cvpr46437.2021.00269 · External reference
10.1007/978-0-387-73003-5_196
10.1007/978-0-387-73003-5_196 · External reference
10.1109/cvpr52688.2022.00896
10.1109/cvpr52688.2022.00896 · External reference
10.1109/cvpr46437.2021.01552
10.1109/cvpr46437.2021.01552 · External reference
Unresolved reference
2022 · External reference
Born again neural networks
2018 · External reference
Undistillable: Making a nasty teacher that CANNOT teach students
2021 · External reference
Paying more attention to attention: Improving the performance of convolutional neural networks via attention transfer
2017 · External reference
10.1609/aaai.v35i9.16969
10.1609/aaai.v35i9.16969 · External reference
10.1109/cvpr.2019.00938
10.1109/cvpr.2019.00938 · External reference
10.1109/wacv57701.2024.00227
10.1109/wacv57701.2024.00227 · External reference
10.1109/cvpr52729.2023.01142
10.1109/cvpr52729.2023.01142 · External reference
10.1007/978-3-030-58545-7_34
10.1007/978-3-030-58545-7_34 · External reference
10.1609/aaai.v34i04.5963
10.1609/aaai.v34i04.5963 · External reference
10.1007/978-3-030-01231-1_21
10.1007/978-3-030-01231-1_21 · External reference
10.21437/interspeech.2017-614
10.21437/interspeech.2017-614 · External reference
Learning student-friendly teacher networks for knowledge distillation
2021 · External reference
Knowledge distillation by on-the-fly native ensemble
2018 · External reference
10.1109/cvpr.2019.00297
10.1109/cvpr.2019.00297 · External reference
10.1109/cvpr.2018.00454
10.1109/cvpr.2018.00454 · External reference
10.1109/cvpr52733.2024.01489
10.1109/cvpr52733.2024.01489 · External reference
10.1109/iccv51070.2023.01576
10.1109/iccv51070.2023.01576 · External reference
10.1609/aaai.v37i2.25236
10.1609/aaai.v37i2.25236 · External reference
10.1109/cvpr52733.2024.01488
10.1109/cvpr52733.2024.01488 · External reference
10.1609/aaai.v39i9.32990
10.1609/aaai.v39i9.32990 · External reference
10.1609/aaai.v39i22.34543
10.1609/aaai.v39i22.34543 · External reference
Towards understanding knowledge distillation
2019 · External reference
A statistical perspective on distillation
2021 · External reference
Understanding and improving knowledge distillation
2020 · External reference
Towards understanding ensemble, knowledge distillation and self-distillation in deep learning
2023 · External reference
Bayesian knowledge distillation: A Bayesian perspective of distillation with uncertainty quantification
2024 · External reference
10.1609/aaai.v38i5.28219
10.1609/aaai.v38i5.28219 · External reference
Knowledge transfer with Jacobian matching
2018 · External reference
10.1109/tpami.2022.3160328
10.1109/tpami.2022.3160328 · External reference
10.1609/aaai.v36i4.20352
10.1609/aaai.v36i4.20352 · External reference
Label refinery: Improving ImageNet classification through label progression
2018 · External reference
Knowledge distillation as semiparametric inference
2021 · External reference
Ensemble distillation for robust model fusion in federated learning
2020 · External reference
Deep model compression: Distilling knowledge from noisy teachers
2016 · External reference
LIT: Learned intermediate representation training for model compression
2019 · External reference
Wasserstein generative adversarial networks
2017 · External reference
Improving GANs using optimal transport
2018 · External reference
Supervised word mover’s distance
2016 · External reference
10.1109/cvpr42600.2020.01222
10.1109/cvpr42600.2020.01222 · External reference
Model fusion via optimal transport
2020 · External reference
Frustratingly easy neural domain adaptation
2016 · External reference
10.1109/cvpr.2019.00283
10.1109/cvpr.2019.00283 · External reference
Domain adaptation via transfer component analysis
2009 · External reference
10.1016/j.neucom.2018.05.083
10.1016/j.neucom.2018.05.083 · External reference
10.1109/tpami.2016.2615921
10.1109/tpami.2016.2615921 · External reference
10.1007/978-3-030-01225-0_28
10.1007/978-3-030-01225-0_28 · External reference
10.1609/aaai.v32i1.11784
10.1609/aaai.v32i1.11784 · External reference
10.24963/ijcai.2021/394
10.24963/ijcai.2021/394 · External reference
MOST: Multi-source domain adaptation via optimal transport for student-teacher learning
2021 · External reference
10.1109/cvpr42600.2020.00445
10.1109/cvpr42600.2020.00445 · External reference
10.1109/wacv51458.2022.00370
10.1109/wacv51458.2022.00370 · External reference
KNOT: Knowledge distillation using optimal transport for solving NLP tasks
2022 · External reference
10.5555/3294996.3295163
10.5555/3294996.3295163 · External reference
Matching networks for one shot learning
2016 · External reference
10.1109/jiot.2020.3018677
10.1109/jiot.2020.3018677 · External reference
10.5244/c.30.87
10.5244/c.30.87 · External reference
Learning multiple layers of features from tiny images
2009 · External reference
10.1007/s10479-007-0176-2
10.1007/s10479-007-0176-2 · External reference
Making transport more robust and interpretable by moving data through a small number of anchor points
2021 · External reference
10.1214/aoms/1177703591
10.1214/aoms/1177703591 · External reference
10.1007/s11263-015-0816-y
10.1007/s11263-015-0816-y · External reference
The caltech-ucsd birds-200-2011 dataset
2011 · External reference
Novel dataset for fine-grained image categorization: Stanford dogs
2011 · External reference
10.1109/iccvw.2013.77
10.1109/iccvw.2013.77 · External reference
10.1109/cvpr.2009.5206537
10.1109/cvpr.2009.5206537 · External reference
Fine-grained visual classification of aircraft
2013 · External reference
MobileNets: Efficient convolutional neural networks for mobile vision applications
2017 · External reference
10.1109/cvpr.2018.00716
10.1109/cvpr.2018.00716 · External reference
10.1109/cvpr.2017.243
10.1109/cvpr.2017.243 · External reference
10.1109/iccv48922.2021.00986
10.1109/iccv48922.2021.00986 · External reference
10.1109/cvpr52688.2022.01167
10.1109/cvpr52688.2022.01167 · External reference
Visualizing data using t-SNE
2008 · External reference
SEED: Self-supervised distillation for visual representation
2021 · External reference
10.1109/tkde.2021.3086619
10.1109/tkde.2021.3086619 · External reference
10.1007/s11704-016-6906-3
10.1007/s11704-016-6906-3 · External reference
10.1109/iccv.2019.00653
10.1109/iccv.2019.00653 · External reference
