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icml
Here are 48 public repositories matching this topic...
pip install antialiased-cnns to improve stability and accuracy
computer-vision
artificial-intelligence
convolutional-neural-networks
antialiasing
icml
cnns
shift-invariant
shift-equivariant
icml-2019
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Updated
Mar 1, 2021 - Python
For deep RL and the future of AI.
game
reinforcement-learning
deep-reinforcement-learning
agi
planning
artificial-general-intelligence
theoretical-computer-science
reward
aaai
ijcai
hierarchical-reinforcement-learning
iclr
icml
distributional
multiagent-reinforcement-learning
aamas
exploration-exploitation
inverse-rl
aistats
uai
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Updated
Sep 17, 2020 - HTML
深度学习近年来关于神经网络模型解释性的相关高引用/顶会论文(附带代码)
nlp
awesome
computer-vision
deep-learning
neural-network
chainer
tensorflow
matlab
keras
torch
pytorch
awesome-list
papers
cvpr
iccv
iclr
interpretability
icml
eccv
neurips
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Updated
Sep 29, 2020
Sparse Variational Dropout, ICML 2017
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Updated
May 20, 2020 - Jupyter Notebook
[ICML 2021, Long Talk] Delving into Deep Imbalanced Regression
natural-language-processing
computer-vision
regression
healthcare
imbalanced-data
icml
imbalanced-learning
long-tail
imbalance
imbalanced-classification
imbalanced-regression
icml-2021
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Updated
Jul 15, 2021 - Python
Code base for the precision, recall, density, and coverage metrics for generative models. ICML 2020.
diversity
machine-learning
deep-learning
evaluation
generative-adversarial-network
generative-model
recall
precision
evaluation-metrics
fidelity
icml
icml-2020
icml2020
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Updated
Nov 27, 2020 - Python
Deep Isometric Learning for Visual Recognition (ICML 2020)
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Updated
Dec 23, 2020 - Python
This is our implementation of ENMF: Efficient Neural Matrix Factorization (TOIS. 38, 2020). This also provides a fair evaluation of existing state-of-the-art recommendation models.
deep-learning
reproducible-research
evaluation
collaborative-filtering
recommender-system
recommendation
kdd
reproducibility
efficient-algorithm
icml
sigir
state-of-the-art
neurips
lcfn
lightgcn
nbpo
dhcf
srns
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Updated
Jul 22, 2021 - Python
Official Pytorch implementation of ReBias (Learning De-biased Representations with Biased Representations), ICML 2020
machine-learning
deep-learning
pytorch
icml
icml-2020
icml2020
rebias
bias-generalisation
bias-generalization
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Updated
Jul 6, 2021 - Python
An official TensorFlow implementation of "Neural Program Synthesis from Diverse Demonstration Videos" (ICML 2018) by Shao-Hua Sun, Hyeonwoo Noh, Sriram Somasundaram, and Joseph J. Lim
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Updated
Sep 7, 2021 - Python
ICML 2019: Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels
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Updated
Dec 10, 2020 - Python
machine-learning
feature-selection
supervised-learning
unsupervised-learning
icml
icml-2019
concrete-autoencoders
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Updated
Dec 7, 2019 - Jupyter Notebook
Soft Threshold Weight Reparameterization for Learnable Sparsity
sparsity
cnn
imagenet
str
icml
efficient-inference
soft-thresholding
edge-machine-learning
sparsity-optimization
resource-efficient
icml-2020
learnable-sparsity
icml2020
soft-threshold-reparameterization
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Updated
Sep 8, 2021 - Python
Code for ICML 2019 paper "Probabilistic Neural-symbolic Models for Interpretable Visual Question Answering" [long-oral]
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Updated
Mar 10, 2020 - Python
Code for ICML2020 paper [“Normalized Loss Functions for Deep Learning with Noisy Labels"] https://arxiv.org/abs/2006.13554
deep-neural-networks
deep-learning
pytorch
icml
noisy-data
label-noise
noisy-labels
unreliable-labels
robust-learning
icml-2020
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Updated
Jul 31, 2020 - Python
[ICML 2019] ME-Net: Towards Effective Adversarial Robustness with Matrix Estimation
defense
matrix-completion
icml
robustness
adversarial-example
adversarial-attacks
icml-2019
ml-safety
matrix-estimation
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Updated
Apr 15, 2020 - Python
[ICML 2021] Information Obfuscation of Graph Neural Networks
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Updated
Jul 15, 2021 - Jupyter Notebook
NeuroAI-UW seminar, a regular weekly seminar for the UW community, organized by NeuroAI Shlizerman Lab.
data-science
ai
deep-learning
recurrent-neural-networks
neural-networks
cvpr
sfn
icml
neuroscience-methods
eccv
neurips
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Updated
May 19, 2021
Official PyTorch implementation of Time-aware Large Kernel (TaLK) Convolutions (ICML 2020)
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Updated
Dec 9, 2020 - Python
AutoLearn, a domain independent regression-based feature learning algorithm.
data-science
machine-learning
data-mining
regression
feature-selection
classification
icdm
feature-engineering
automl
automated-machine-learning
icml
paper-implementations
autolearn
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Updated
Jul 6, 2019 - Python
Bi-Level Graph Neural Networks for Drug-Drug Interaction Prediction. ICML 2020 Graph Representation Learning and Beyond (GRL+) Workshop
deep-learning
drugbank
representation-learning
graph-convolutional-networks
icml
graph-attention-networks
graph-neural-networks
drug-drug-interaction
covid-19
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Updated
Oct 6, 2020 - Python
Variational Dropout Sparsifies Deep Neural Networks (Molchanov et al. 2017) by Chainer
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Updated
Jun 22, 2017 - Python
Code for the paper Semi-Conditional Normalizing Flows for Semi-Supervised Learning
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Updated
Jun 7, 2021 - Python
Official code for UnICORNN (ICML 2021)
deep-learning
time-series
cuda
imdb
pytorch
recurrent-neural-networks
icml
sequential-mnist
icml-2021
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Updated
Aug 11, 2021 - Python
Community Regularization of Visually Grounded Dialog https://arxiv.org/abs/1808.04359
machine-learning
natural-language-processing
reinforcement-learning
computer-vision
communication
dialog
pytorch
recurrent-neural-networks
multi-agent
convolutional-neural-networks
reinforce
emergent-behavior
icml
curriculum-learning
visual-dialog
cvpr2018
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Updated
May 16, 2019 - Python
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