Research graph
References from Dataset Pruning: Reducing Training Data by Examining SGD-Influence. Local targets link to admitted publications; unresolved targets remain external evidence.
Second-order stochastic optimization in linear time
2017 · External reference
10.1145/1008731.1008736
10.1145/1008731.1008736 · External reference
Gradient based sample selection for online continual learning
2019 · External reference
Deep speech 2: End-to-end speech recognition in English and Mandarin
2016 · External reference
wav2vec 2.0: A framework for self-supervised learning of speech representations
2020 · External reference
10.1109/wacv45572.2020.9093562
10.1109/wacv45572.2020.9093562 · External reference
10.1038/sj.jors.2600425
10.1038/sj.jors.2600425 · External reference
Unresolved reference
2016 · External reference
What is the state of neural network pruning?
2020 · External reference
Flexible dataset distillation: Learn labels instead of images
2020 · External reference
Coresets via bilevel optimization for continual learning and streaming
2020 · External reference
Language models are few-shot learners
2020 · External reference
10.1007/978-3-030-01258-8_15
10.1007/978-3-030-01258-8_15 · External reference
10.1109/cvpr52688.2022.01045
10.1109/cvpr52688.2022.01045 · External reference
10.1214/ss/1177013630
10.1214/ss/1177013630 · External reference
A closer look at few-shot classification
2019 · External reference
10.2307/1268249
10.2307/1268249 · External reference
10.1111/j.2517-6161.1986.tb01398.x
10.1111/j.2517-6161.1986.tb01398.x · External reference
10.1080/00401706.1980.10486199
10.1080/00401706.1980.10486199 · External reference
Unresolved reference
1982 · External reference
10.1109/cvpr.2009.5206848
10.1109/cvpr.2009.5206848 · External reference
10.48550/arxiv.1810.04805
10.48550/arxiv.1810.04805 · External reference
An image is worth 16×16 words: Transformers for image recognition at scale
2021 · External reference
10.1137/1.9781611973105.103
10.1137/1.9781611973105.103 · External reference
Model-agnostic meta-learning for fast adaptation of deep networks
2017 · External reference
Data shapley: Towards fair valuation of data
2019 · External reference
10.1287/ijoc.1.3.190
10.1287/ijoc.1.3.190 · 1989 · External reference
Explaining and harnessing adversarial examples
2015 · External reference
10.1137/1.9780898717730
10.1137/1.9780898717730 · External reference
10.1002/9781118186435
10.1002/9781118186435 · External reference
10.1145/1007352.1007400
10.1145/1007352.1007400 · External reference
Data cleansing for models trained with SGD
2019 · External reference
10.1109/cvpr.2016.90
10.1109/cvpr.2016.90 · External reference
10.1109/cvpr.2016.90
10.1109/cvpr.2016.90 · External reference
Exploring dataset distillation in the wild
2022 · External reference
10.1109/cvpr.2018.00745
10.1109/cvpr.2018.00745 · External reference
Towards efficient data valuation based on the Shapley value
2019 · External reference
10.1145/3534678.3539429
10.1145/3534678.3539429 · External reference
Graph condensation for graph neural networks
2021 · External reference
10.1109/cvpr.2015.7299017
10.1109/cvpr.2015.7299017 · External reference
10.1609/aaai.v35i9.16988
10.1609/aaai.v35i9.16988 · External reference
Understanding black-box predictions via influence functions
2017 · External reference
Understanding black-box predictions via influence functions
2017 · External reference
Learning multiple layers of features from tiny images
2009 · External reference
Tiny imagenet visual recognition challenge
2015 · External reference
Efficient approximation of cross-validation for kernel methods using bouligand influence function
2014 · External reference
Rethinking the value of network pruning
2018 · External reference
Unresolved reference
2015 · External reference
Coresets for data-efficient training of machine learning models
2020 · External reference
10.1109/cvpr.2019.01152
10.1109/cvpr.2019.01152 · External reference
Dataset meta-learning from kernel-ridge regression
2021 · External reference
Dataset distillation with infinitely wide convolutional networks
2021 · External reference
Dataset distillation with infinitely wide convolutional networks
2021 · External reference
Deep learning on a data diet: Finding important examples early in training
2021 · External reference
10.1109/cvpr.2017.587
10.1109/cvpr.2017.587 · External reference
A generative process for sampling contractive auto-encoders
2012 · External reference
Deep distributed optimization for large-scale quadratic programming
2025 · External reference
Active learning for convolutional neural networks: A core-set approach
2018 · External reference
Active learning for convolutional neural networks: A core-set approach
2018 · External reference
Phenomenology of double descent in finite-width neural networks
2021 · External reference
Rethinking dataset distillation in the latent space
2022 · External reference
10.5555/3294996.3295163
10.5555/3294996.3295163 · External reference
Generative teaching networks: Accelerating neural architecture search by learning to generate synthetic training data
2020 · External reference
10.1109/ijcnn52387.2021.9533769
10.1109/ijcnn52387.2021.9533769 · External reference
Unresolved reference
2003 · External reference
10.1080/00401706.1990.10484593
10.1080/00401706.1990.10484593 · External reference
An empirical study of example forgetting during deep neural network learning
2019 · External reference
An empirical study of example forgetting during deep neural network learning
2019 · External reference
Simulated annealing
10.1007/978-94-015-7744-1_2 · 1987 · External reference
10.48550/arxiv.1706.03762
10.48550/arxiv.1706.03762 · External reference
Matching networks for one shot learning
2016 · External reference
10.1109/cvpr52688.2022.01188
10.1109/cvpr52688.2022.01188 · External reference
Dataset distillation
2018 · External reference
10.1111/1467-9469.00086
10.1111/1467-9469.00086 · External reference
10.1145/1553374.1553517
10.1145/1553374.1553517 · External reference
Unresolved reference
2011 · External reference
10.1002/9781119606475
10.1002/9781119606475 · External reference
Unresolved reference
2014 · External reference
Free lunch for few-shot learning: Distribution calibration
2021 · External reference
10.1109/tpami.2021.3132021
10.1109/tpami.2021.3132021 · External reference
Dataset pruning: Reducing training data by examining generalization influence
2023 · External reference
10.1109/cvpr42600.2020.01222
10.1109/cvpr42600.2020.01222 · External reference
Dataset condensation with differentiable siamese augmentation
2021 · External reference
10.1109/wacv56688.2023.00645
10.1109/wacv56688.2023.00645 · External reference
Dataset condensation with gradient matching
2021 · External reference
Dataset distillation with parameter-conditioned generators
2022 · External reference
10.1109/cvpr.2018.00907
10.1109/cvpr.2018.00907 · External reference
