icml

There are 7 repositories under icml topic.

zziz / pwc
This repository is no longer maintained.
code cvpr eccv iccv icml machine-learning nips paper
15397
adobe / antialiased-cnns
pip install antialiased-cnns to improve stability and accuracy
antialiasing artificial-intelligence cnns computer-vision convolutional-neural-networks icml icml-2019 shift-equivariant shift-invariant
Language:Python 1642
awesome-deep-rl
tigerneil / awesome-deep-rl
For deep RL and the future of AI.
deep-reinforcement-learning reinforcement-learning game reward artificial-general-intelligence exploration-exploitation hierarchical-reinforcement-learning distributional multiagent-reinforcement-learning planning theoretical-computer-science inverse-rl icml aamas ijcai aaai aistats uai agi iclr
Language:HTML 1371
omerbt / MultiDiffusion
Official Pytorch Implementation for "MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generation" presenting "MultiDiffusion" (ICML 2023)
diffusion-models generative-model icml image-generation multidiffusion stable-diffusion text-to-image
Language:Jupyter Notebook 900
YyzHarry / imbalanced-regression
[ICML 2021, Long Talk] Delving into Deep Imbalanced Regression
imbalanced-data imbalanced-learning imbalanced-classification imbalance regression long-tail imbalanced-regression icml icml-2021 computer-vision natural-language-processing healthcare
Language:Python 768
oneTaken / awesome_deep_learning_interpretability
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)
interpretability deep-learning computer-vision awesome awesome-list papers pytorch tensorflow keras torch chainer matlab nlp neural-network cvpr iccv eccv neurips icml iclr
721
yarkable / Awesome-Computer-Vision-Paper-List
This repository contains all the papers accepted in top conference of computer vision, with convenience to search related papers.
cvpr iccv nips computer-vision artificial-intelligence paper eccv neurips icml iclr ijcai deep-learning acmmm aaai wacv bmvc accv2020 accv2018 machine-learning awesome-list
Language:Python 609
SymbioticLab / FedScale
FedScale is a scalable and extensible open-source federated learning (FL) platform.
benchmark dataset machine-learning federated-learning icml deep-learning mlsys osdi deployment distributed pytorch tensorflow
Language:Python 365
variational-dropout-sparsifies-dnn
bayesgroup / variational-dropout-sparsifies-dnn
Sparse Variational Dropout, ICML 2017
icml compression bayesian-deep-learning
Language:Jupyter Notebook 307
Allenpandas / Reinforcement-Learning-Papers
📚 List of Top-tier Conference Papers on Reinforcement Learning (RL)，including: NeurIPS, ICML, AAAI, IJCAI, AAMAS, ICLR, ICRA, etc.
deep-reinforcement-learning reinforcement-learning dqn imitation-learning multi-agent-reinforcement-learning policy-gradient q-learning artificial-intelligence reinforcement-learning-papers reinforcement-learning-conferences rl-papers aaai icml ijcai reinforcement-learning-conferences-papers reinforcement-learning-paper neurips hierarchical-reinforcement-learning meta-reinforcement-learning offline-reinforcement-learning
238
clovaai / generative-evaluation-prdc
Code base for the precision, recall, density, and coverage metrics for generative models. ICML 2020.
deep-learning generative-adversarial-network evaluation-metrics precision recall machine-learning generative-model fidelity diversity evaluation icml icml-2020 icml2020
Language:Python 234
SilenceEagle / paper_downloader
Download papers and supplemental materials from open-access paper website, such as AAAI, AISTATS, COLT, CORL, CVPR, ECCV, ICCV, ICLR, ICML, IJCAI, JMLR, NIPS, RSS, WACV.
nips iclr icml colt aistats aaai ijcai iccv cvpr jmlr eccv accv paper-download rss wacv
Language:Python 218
mabaorui / NeuralPull
Implementation of ICML'2021:Neural-Pull: Learning Signed Distance Functions from Point Clouds by Learning to Pull Space onto Surfaces
3d-reconstruction deep-learning icml point-cloud tensorflow
Language:Python 177
clovaai / rebias
Official Pytorch implementation of ReBias (Learning De-biased Representations with Biased Representations), ICML 2020
machine-learning deep-learning rebias bias-generalisation bias-generalization pytorch icml2020 icml-2020 icml
Language:Python 167
chenchongthu / ENMF
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 recommender-system efficient-algorithm recommendation evaluation state-of-the-art collaborative-filtering reproducibility reproducible-research sigir icml lightgcn lcfn nbpo kdd dhcf neurips srns
Language:Python 147
HaozhiQi / ISONet
Deep Isometric Learning for Visual Recognition (ICML 2020)
icml visual-recognition deep-isometric-learning
Language:Python 142
HanxunH / Active-Passive-Losses
[ICML2020] Normalized Loss Functions for Deep Learning with Noisy Labels
icml-2020 label-noise pytorch icml noisy-labels deep-learning deep-neural-networks noisy-data unreliable-labels robust-learning
Language:Python 126
mfbalin / Concrete-Autoencoders
machine-learning unsupervised-learning feature-selection concrete-autoencoders icml-2019 icml supervised-learning
Language:Jupyter Notebook 108
shaohua0116 / demo2program
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
deep-learning icml icml-2018 program-synthesis video-analysis
Language:Python 101
JunlinHan / YOCO
Code for You Only Cut Once: Boosting Data Augmentation with a Single Cut, ICML 2022.
computer-vision classification contrastive-learning data-augmentation data-augmentation-strategies data-augmentations rain-removal super-resolution imagenet cifar10 cifar100 imagenet-classifier object-detection instance-segmentation icml pytorch
Language:Python 97
mabaorui / Noise2NoiseMapping
[ICML'23 Oral] Learning Signed Distance Functions from Noisy 3D Point Clouds via Noise to Noise Mapping
3d-reconstruction deep-learning icml point-cloud point-cloud-denoising
Language:Python 91
chenpf1025 / noisy_label_understanding_utilizing
ICML 2019: Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels
noisy-labels robust icml
Language:Python 87
yongkaiwu / FairAI
This is a collection of papers and other resources related to fairness.
fairness fair ethics ai machine-learning discrimination bias algorithm ijcai icdm kdd aistats nips cikm icml papers aaai uai artificial-intelligence fate
Language:HTML 87
YyzHarry / SubpopBench
[ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift
benchmark class-imbalance domain-generalization icml icml-2023 ood-generalization ood-robustness out-of-distribution spurious-correlations subgroup subpopulation subpopulation-shift
Language:Python 87
RAIVNLab / STR
Soft Threshold Weight Reparameterization for Learnable Sparsity
sparsity learnable-sparsity sparsity-optimization cnn efficient-inference edge-machine-learning soft-thresholding str imagenet resource-efficient icml-2020 icml icml2020 soft-threshold-reparameterization
Language:Python 83
WingsBrokenAngel / AIPaperCompleteDownload
Complete download for papers in various top conferences
aaai cvpr ecai iccv icml neurips paper
78
MLR
tuanlda78202 / MLR
Machine Learning Research
machine-learning deep-learning research-paper conference-paper computer-vision natural-language-processing python neurips icml iclr cvpr iccv aaai
71
probnmn-clevr
kdexd / probnmn-clevr
Code for ICML 2019 paper "Probabilistic Neural-symbolic Models for Interpretable Visual Question Answering" [long-oral]
icml icml-2019 probabilistic-models neural-module-networks vqa clevr
Language:Python 66
mabaorui / NeuralPull-Pytorch
Implementation of ICML'2021:Neural-Pull: Learning Signed Distance Functions from Point Clouds by Learning to Pull Space onto Surfaces
3d-reconstruction deep-learning icml point-cloud pytorch
Language:Python 57
YyzHarry / ME-Net
[ICML 2019] ME-Net: Towards Effective Adversarial Robustness with Matrix Estimation
adversarial-attacks adversarial-example defense icml icml-2019 matrix-completion matrix-estimation ml-safety robustness
Language:Python 52
ACE
Piyushi-0 / ACE
Code for our ICML '19 paper: Neural Network Attributions: A Causal Perspective.
attribution-methods causality deep-learning machine-learning neural-network icml
Language:Jupyter Notebook 50
shlizee / NeuroAI
NeuroAI-UW seminar, a regular weekly seminar for the UW community, organized by NeuroAI Shlizerman Lab.
ai neuroscience-methods neural-networks data-science icml cvpr eccv sfn neurips recurrent-neural-networks deep-learning
50
tk-rusch / GraphCON
GraphCON (ICML 2022)
graph-attention-networks graph-convolutional-networks graph-neural-networks icml icml-2022 oversmoothing pytorch-geometric
Language:Python 48
probsys / AutoGP.jl
Automated Bayesian model discovery for time series data
bayesian-inference forecasting gaussian-process machine-learning structure-learning times-series icml
Language:Julia 45
FutureComputing4AI / Hrrformer
Hrrformer: A Neuro-symbolic Self-attention Model (ICML23)
ember long-range-arena lra malware neuro-symbolic self-attention transformer holographic-reduced-representations hrr hrrformer icml icml-2023
Language:Python 36
liaopeiyuan / GAL
[ICML 2021] Information Obfuscation of Graph Neural Networks
icml
Language:Jupyter Notebook 36

icml

zziz / pwc

adobe / antialiased-cnns

tigerneil / awesome-deep-rl

omerbt / MultiDiffusion

YyzHarry / imbalanced-regression

oneTaken / awesome_deep_learning_interpretability

yarkable / Awesome-Computer-Vision-Paper-List

SymbioticLab / FedScale

bayesgroup / variational-dropout-sparsifies-dnn

Allenpandas / Reinforcement-Learning-Papers

clovaai / generative-evaluation-prdc

SilenceEagle / paper_downloader

mabaorui / NeuralPull

clovaai / rebias

chenchongthu / ENMF

HaozhiQi / ISONet

HanxunH / Active-Passive-Losses

mfbalin / Concrete-Autoencoders

shaohua0116 / demo2program

JunlinHan / YOCO

mabaorui / Noise2NoiseMapping

chenpf1025 / noisy_label_understanding_utilizing

yongkaiwu / FairAI

YyzHarry / SubpopBench

RAIVNLab / STR

WingsBrokenAngel / AIPaperCompleteDownload

tuanlda78202 / MLR

kdexd / probnmn-clevr

mabaorui / NeuralPull-Pytorch

YyzHarry / ME-Net

Piyushi-0 / ACE

shlizee / NeuroAI

tk-rusch / GraphCON

probsys / AutoGP.jl

FutureComputing4AI / Hrrformer

liaopeiyuan / GAL