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| Dropout and Random Gradient Masking Are Asymptotically Equivalent in Large ResNets added by Syntology |
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2025-12 (from id) |
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24 Sep 2024 |
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| Counting in Small Transformers: The Delicate Interplay between Attention and Feed-Forward Layers |
16 Jul 2024 |
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| Towards Understanding the Word Sensitivity of Attention Layers: A Study via Random Features |
5 Feb 2024 |
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| The Convex Landscape of Neural Networks: Characterizing Global Optima and Stationary Points via Lasso Models |
19 Dec 2023 |
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| Microscaling Data Formats for Deep Learning |
16 Oct 2023 |
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| Neural Relational Inference with Fast Modular Meta-learning |
10 Oct 2023 |
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| Automatic Integration for Spatiotemporal Neural Point Processes |
9 Oct 2023 |
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| Deep Unfolding Convolutional Dictionary Model for Multi-Contrast MRI Super-resolution and Reconstruction |
3 Sep 2023 |
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| A Rainbow in Deep Network Black Boxes |
29 May 2023 |
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| Window-Based Early-Exit Cascades for Uncertainty Estimation: When Deep Ensembles are More Efficient than Single Models |
14 Mar 2023 |
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6 Mar 2023 |
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| Boundary-Aware Uncertainty for Feature Attribution Explainers |
5 Oct 2022 |
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| Optimal Neural Network Approximation of Wasserstein Gradient Direction via Convex Optimization |
26 May 2022 |
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| Variational autoencoders in the presence of low-dimensional data: landscape and implicit bias |
13 Dec 2021 |
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| On the Existence of Universal Lottery Tickets |
22 Nov 2021 |
relationalml/universallt/subsetsum.py 4c9a9cab68f5a375 |
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| On Transferability of Prompt Tuning for Natural Language Processing |
12 Nov 2021 |
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| Phase Collapse in Neural Networks |
11 Oct 2021 |
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| RECALL: Replay-based Continual Learning in Semantic Segmentation |
8 Aug 2021 |
LTTM/RECALL/model_resnet.py 37e49142da9ee0cd |
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| Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy, Uncertainty, and Robustness |
26 May 2021 |
xxxnell/spatial-smoothing/models/smoothing_block.py d419f818792d3793 |
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29 Apr 2021 |
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| SPINN: Sparse, Physics-based, and partially Interpretable Neural Networks for PDEs |
25 Feb 2021 |
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| Principled Simplicial Neural Networks for Trajectory Prediction |
19 Feb 2021 |
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| Separation and Concentration in Deep Networks |
18 Dec 2020 |
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| Neural Architecture Search without Training |
8 Jun 2020 |
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| Black-box Mixed-Variable Optimisation using a Surrogate Model that Satisfies Integer Constraints |
8 Jun 2020 |
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| Neural Additive Models: Interpretable Machine Learning with Neural Nets |
29 Apr 2020 |
Habush/nam_jax/models.py 454cfa9b8b9aed47 |
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| Neural Additive Models: Interpretable Machine Learning with Neural Nets |
29 Apr 2020 |
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| Cryptanalytic Extraction of Neural Network Models |
10 Mar 2020 |
google-research/cryptanalytic-model-extraction/check_solution_svd.py 5af8fa537914ff3d |
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| Learned Image Compression with Discretized Gaussian Mixture Likelihoods and Attention Modules |
6 Jan 2020 |
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| Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression |
19 Nov 2019 |
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| Deep Network Classification by Scattering and Homotopy Dictionary Learning |
8 Oct 2019 |
j-zarka/SparseScatNet/models/ISTC.py d5d46e42d48015f4 |
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| A Fine-Grained Spectral Perspective on Neural Networks |
24 Jul 2019 |
thegregyang/NNspectra/theory.py 5af8fa537914ff3d |
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| EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks |
28 May 2019 |
rohitgr7/tvmodels/tvmodels/models/blocks/effnet_blocks.py 9461188086a155ec |
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| LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning |
15 May 2019 |
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| Language-Conditioned Graph Networks for Relational Reasoning |
10 May 2019 |
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| RetinaFace: Single-stage Dense Face Localisation in the Wild |
2 May 2019 |
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| Scalable End-to-End Autonomous Vehicle Testing via Rare-event Simulation |
31 Oct 2018 |
amansinha/neural-bridge/envs/car_racing/WorldModel/dream_model.py b4ffc7174f63b5d9 |
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| Stochastic Hyperparameter Optimization through Hypernetworks |
26 Feb 2018 |
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| 2D/3D Pose Estimation and Action Recognition using Multitask Deep Learning |
26 Feb 2018 |
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| Learning to Generalize: Meta-Learning for Domain Generalization |
10 Oct 2017 |
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| Learning to Generalize: Meta-Learning for Domain Generalization |
10 Oct 2017 |
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| Right for the Right Reasons: Training Differentiable Models by Constraining their Explanations |
10 Mar 2017 |
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| Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks |
9 Mar 2017 |
katerakelly/pytorch-maml/src/layers.py 8dd8a8e3eac0253a |
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| QCD-Aware Recursive Neural Networks for Jet Physics |
2 Feb 2017 |
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| The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation |
28 Nov 2016 |
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| iCaRL: Incremental Classifier and Representation Learning |
23 Nov 2016 |
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| End-to-end Optimized Image Compression |
5 Nov 2016 |
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| Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization |
7 Oct 2016 |
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| Efficient Multi-Scale 3D CNN with Fully Connected CRF for Accurate Brain Lesion Segmentation |
18 Mar 2016 |
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30 Sep 2015 |
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| U-Net: Convolutional Networks for Biomedical Image Segmentation |
18 May 2015 |
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| Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification |
6 Feb 2015 |
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| arXiv:aaai_5987 |
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| arXiv:aaai_17756 |
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kia-kia/IC-MLNet/model/ops.py 8ec69db6155c57f6 |
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