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| SAMPa: Sharpness-aware Minimization Parallelized |
14 Oct 2024 |
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28 May 2024 |
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| Do Deep Neural Network Solutions Form a Star Domain? |
12 Mar 2024 |
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| Learning with Logical Constraints but without Shortcut Satisfaction |
1 Mar 2024 |
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| NiteDR: Nighttime Image De-Raining with Cross-View Sensor Cooperative Learning for Dynamic Driving Scenes |
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27 Feb 2024 |
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| LM-HT SNN: Enhancing the Performance of SNN to ANN Counterpart through Learnable Multi-hierarchical Threshold Model |
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| Detection and Defense of Unlearnable Examples |
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| Ternary Spike: Learning Ternary Spikes for Spiking Neural Networks |
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| Deep Unlearning: Fast and Efficient Gradient-free Approach to Class Forgetting |
1 Dec 2023 |
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| ReWaRD: Retinal Waves for Pre-Training Artificial Neural Networks Mimicking Real Prenatal Development |
28 Nov 2023 |
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| On the Robustness of Neural Collapse and the Neural Collapse of Robustness |
13 Nov 2023 |
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| Breaking the Trilemma of Privacy, Utility, Efficiency via Controllable Machine Unlearning |
28 Oct 2023 |
guangyaodou/conmu/cv_models/VGG.py c766a8cd7888bd2d |
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| FunnyBirds: A Synthetic Vision Dataset for a Part-Based Analysis of Explainable AI Methods |
11 Aug 2023 |
visinf/funnybirds/funnybirds_complete/models/vgg.py 76b1bf0c7e996f90 |
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| You Can Backdoor Personalized Federated Learning |
29 Jul 2023 |
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| Learning-to-Rank Meets Language: Boosting Language-Driven Ordering Alignment for Ordinal Classification |
24 Jun 2023 |
xk-huang/OrdinalCLIP/ordinalclip/models/image_encoders/vgg.py 605fa285c125d097 |
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| Towards Universal Fake Image Detectors that Generalize Across Generative Models |
20 Feb 2023 |
yuheng-li/universalfakedetect/models/vgg.py 04cac479388fed8d |
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| Not All Poisons are Created Equal: Robust Training against Data Poisoning |
18 Oct 2022 |
yuyang0901/effective-poison-identification/models/vgg.py 57636423450ce2a4 |
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| Shift-tolerant Perceptual Similarity Metric |
27 Jul 2022 |
abhijay9/shifttolerant-lpips/models_lpf/vgg.py 218e7087e99477df |
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| On the Eigenvalues of Global Covariance Pooling for Fine-grained Visual Recognition |
26 May 2022 |
KingJamesSong/DifferentiableSVD/src/network/vgg.py 9ec7dbb47bd1938b |
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| Learning What Not to Segment: A New Perspective on Few-Shot Segmentation |
15 Mar 2022 |
chunbolang/BAM/model/vgg.py 2067e75510fbe85e |
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| Beyond ImageNet Attack: Towards Crafting Adversarial Examples for Black-box Domains |
27 Jan 2022 |
Alibaba-AAIG/Beyond-ImageNet-Attack/imagenet/vgg.py 935d064cdc5a56c6 |
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| Phase Collapse in Neural Networks |
11 Oct 2021 |
florentinguth/phasecollapse/models/vgg.py 7d04f93796ace37b |
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| Few-Shot Segmentation with Global and Local Contrastive Learning |
11 Aug 2021 |
liuweide01/GQNet-Few-shot-segmentation/model/vgg.py 2067e75510fbe85e |
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| Non-Transferable Learning: A New Approach for Model Ownership Verification and Applicability Authorization |
13 Jun 2021 |
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| Polygonal Unadjusted Langevin Algorithms: Creating stable and efficient adaptive algorithms for neural networks |
28 May 2021 |
DongyoungLim/THEO_POULA/models/vgg.py e4d45132558d0903 |
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| Learning Black-Box Attackers with Transferable Priors and Query Feedback |
21 Oct 2020 |
TrustworthyDL/LeBA/imagenet/models/vgg.py 4e473b974953d3d3 |
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10 Oct 2020 |
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| AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows |
15 Jul 2020 |
hmdolatabadi/AdvFlow/vgg.py 9e8680c7bf44ac85 |
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MIT (permissive) |
| Just How Toxic is Data Poisoning? A Unified Benchmark for Backdoor and Data Poisoning Attacks |
22 Jun 2020 |
aks2203/poisoning-benchmark/models/vgg.py 57636423450ce2a4 |
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| Blind Backdoors in Deep Learning Models |
8 May 2020 |
ebagdasa/backdoors101/models/vgg.py 1d6a9b32fa100d3a |
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| Disentangling Content and Style via Unsupervised Geometry Distillation |
11 May 2019 |
pb2377/PyTorch-Disentangling-Content-and-Style-Unsupervised/vgg.py a97e757d44f4dc7f |
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| Iterative Normalization: Beyond Standardization towards Efficient Whitening |
6 Apr 2019 |
huangleiBuaa/IterNorm-pytorch/ImageNet/models/vgg.py 3481975c041f9d95 |
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| Variational Adversarial Active Learning |
31 Mar 2019 |
sinhasam/vaal/vgg.py c872dddd472f0138 |
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| Variational Adversarial Active Learning |
31 Mar 2019 |
johntiger1/vaal_querying/vgg.py f6e25e358233c4bb |
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| Many Task Learning with Task Routing |
28 Mar 2019 |
gstrezoski/TaskRouting/routed_vgg.py 40b0cc821f1fe2d5 |
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| Deep Learning under Privileged Information Using Heteroscedastic Dropout |
29 May 2018 |
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| Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization |
7 Oct 2016 |
tarolangner/mri-biometry/cnn/models/net_vgg.py 5d1eaa0429e5f67d |
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| On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima |
15 Sep 2016 |
keskarnitish/large-batch-training/PyTorch/vgg.py 42754302076e329d |
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MIT (permissive) |
| arXiv:aaai_33972 |
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| arXiv:aaai_28258 |
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| arXiv:aaai_26027 |
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UCAS-LCH/Twin-Rep/models/vgg.py e3fc0109a3a3c7ed |
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| arXiv:Pang_Backdoor_Cleansing_With_Unlabeled_Data_CVPR_2023_paper |
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luluppang/BCU/models/vgg.py a97e757d44f4dc7f |
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| arXiv:136780474 |
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| arXiv:03594 |
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MIT (permissive) |