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Search results for deep learning generalization
deep-learning
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generalization
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21 search results found
Transferlearning
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12,494
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
Awesome Out Of Distribution Detection
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400
A professionally curated list of papers, tutorials, books, videos, articles and open-source libraries etc for Out-of-distribution detection, robustness, and generalization
Adapt
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253
Awesome Domain Adaptation Python Toolbox
Dynamics
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144
A Compositional Object-Based Approach to Learning Physical Dynamics
Modular Rl
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140
[ICML 2020] PyTorch Code for "One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control"
Pgdrive
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92
PGDrive: an open-ended driving simulator with infinite scenes from procedural generation
Transformer_generalization
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65
The official repository for our paper "The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers". We significantly improve the systematic generalization of transformer models on a variety of datasets using simple tricks and careful considerations.
Awesome Nn Optimization
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65
Awesome list for Neural Network Optimization methods.
Awesome Distribution Shift
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57
A curated list of papers and resources about the distribution shift in machine learning.
Recurrent Independent Mechanisms
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53
Implementation of the paper Recurrent Independent Mechanisms (https://arxiv.org/pdf/1909.10893.pdf)
Over Parametrization
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43
Computing various norms/measures on over-parametrized neural networks
General 3d Humans
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42
[CVPR 2022 Oral] Generalizable Human Pose Triangulation
In Time Over Parameterization
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42
[ICML 2021] "Do We Actually Need Dense Over-Parameterization? In-Time Over-Parameterization in Sparse Training" by Shiwei Liu, Lu Yin, Decebal Constantin Mocanu, Mykola Pechenizkiy
Disent And Gen
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20
Code for the article: The Role of Disentanglement in Generalisation (ICLR, 2021).
Pinthememory
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19
Pin the Memory (CVPR 2022): Official Project Webpage
Pgdl
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17
Winning Solution of the NeurIPS 2020 Competition on Predicting Generalization in Deep Learning
Modules
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13
The official repository for our paper "Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks". We develop a method for analyzing emerging functional modularity in neural networks based on differentiable weight masks and use it to point out important issues in current-day neural networks.
Characterizing_generalization_in_deepmetriclearning
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11
Implementation and Benchmark Splits to study Out-of-Distribution Generalization in Deep Metric Learning.
Pgdl
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6
Runner Up Solution for the NeurIPS 2020 Competition - "Predicting Generalization in Deep Learning"
Sgrl
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5
[ICML 2023 Oral] Official environments and implementations for "Subequivariant Graph Reinforcement Learning in 3D Environments"
Path Sgd
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5
Path-SGD: Path-Normalized Optimization in Deep Neural Networks
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1-21 of 21 search results
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