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GitHub topics: icml-2023

ChenLiu-1996/DiffusionSpectralEntropy

[ICMLW 2023, IEEE CISS 2024] Assessing Neural Network Representations During Training Using Noise-Resilient Diffusion Spectral Entropy

Language: Python - Size: 47.9 MB - Last synced at: 4 days ago - Pushed at: 5 months ago - Stars: 11 - Forks: 1

XiaoxinHe/Graph-ViT-MLPMixer

Official Implementation of ICML 2023 paper: "A Generalization of ViT/MLP-Mixer to Graphs"

Language: Python - Size: 314 KB - Last synced at: 17 days ago - Pushed at: about 1 year ago - Stars: 160 - Forks: 25

aidos-lab/TARDIS

TARDIS: Topological Algorithms for Robust DIscovery of Singularities

Language: Python - Size: 6.44 MB - Last synced at: about 1 month ago - Pushed at: almost 2 years ago - Stars: 42 - Forks: 4

MinkaiXu/GeoLDM

Geometric Latent Diffusion Models for 3D Molecule Generation

Language: Python - Size: 22.7 MB - Last synced at: about 2 months ago - Pushed at: almost 2 years ago - Stars: 244 - Forks: 45

tinyvision/PreNAS

The official implementation of paper PreNAS: Preferred One-Shot Learning Towards Efficient Neural Architecture Search

Language: Python - Size: 59.6 KB - Last synced at: 2 months ago - Pushed at: almost 2 years ago - Stars: 26 - Forks: 6

BorgwardtLab/fisher_information_embedding

Official code for Fisher information embedding for node and graph learning (ICML 2023)

Language: Python - Size: 1.34 MB - Last synced at: 2 months ago - Pushed at: almost 2 years ago - Stars: 19 - Forks: 0

c-yn/IRNeXt

[ICML2023] IRNeXt: Rethinking Convolutional Network Design for Image Restoration

Language: Python - Size: 333 KB - Last synced at: 3 months ago - Pushed at: 11 months ago - Stars: 55 - Forks: 5

Allenpandas/2023-Reinforcement-Learning-Conferences-Papers

The proceedings of top conference in 2023 on the topic of Reinforcement Learning (RL), including: AAAI, IJCAI, NeurIPS, ICML, ICLR, ICRA, AAMAS and more.

Size: 352 KB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 29 - Forks: 0

grasp-lyrl/picture_of_space_of_tasks

Picture of the Space of Learnable Tasks (ICML 23)

Language: Python - Size: 2.59 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 4 - Forks: 0

FutureComputing4AI/Hrrformer

Hrrformer: A Neuro-symbolic Self-attention Model (ICML23)

Language: Python - Size: 126 KB - Last synced at: about 2 months ago - Pushed at: almost 2 years ago - Stars: 52 - Forks: 6

nik-dim/pamal

Official repository of "Pareto Manifold Learning: Tackling multiple tasks via ensembles of single-task models" [ICML 2023]

Language: Python - Size: 307 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 15 - Forks: 2

nsidn98/InforMARL

Code for our paper: Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation

Language: Python - Size: 18.5 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 99 - Forks: 23

XiaoxinHe/icml2023_learning_on_graphs

List of papers on ICML2023.

Language: Python - Size: 156 KB - Last synced at: 3 days ago - Pushed at: almost 2 years ago - Stars: 55 - Forks: 2

clear-nus/NCDSSM

PyTorch implementation of the NCDSSM models presented in the ICML '23 paper "Neural Continuous-Discrete State Space Models for Irregularly-Sampled Time Series".

Language: Python - Size: 296 KB - Last synced at: 3 months ago - Pushed at: almost 2 years ago - Stars: 24 - Forks: 3

Duntrain/TOPO

Optimizing NOTEARS Objectives via Topological Swaps

Language: Python - Size: 57.6 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 5 - Forks: 3

Wuyxin/DISC

Official code of "Discover and Cure: Concept-aware Mitigation of Spurious Correlation" (ICML 2023)

Language: Python - Size: 294 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 32 - Forks: 5

hjlee815/D-RMM

[ICML 2023] End-to-End Multi-Object Detection with a Regularized Mixture Model

Language: Python - Size: 7.61 MB - Last synced at: 2 months ago - Pushed at: about 2 years ago - Stars: 4 - Forks: 0

batmanlab/ICML-2023-Route-interpret-repeat

Official repository of ICML 2023 paper: Dividing and Conquering a BlackBox to a Mixture of Interpretable Models: Route, Interpret, Repeat

Language: Jupyter Notebook - Size: 161 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 17 - Forks: 2

htqin/BiBench

This project is the official implementation of our accepted ICML 2023 paper BiBench: Benchmarking and Analyzing Network Binarization.

Language: Python - Size: 110 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 41 - Forks: 3

OrbiGenAI-Innovations-Lab/conferences

List of Machine Learning & Data Science Conferences

Size: 35.2 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

hrshtv/CTreeOT

[ICML 2023] Official code for our paper: 'Conditional Tree Matching for Inference-Time Adaptation of Tree Prediction Models'

Language: Python - Size: 453 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 0

AaltoML/sequential-gp

Code for 'Memory-based dual Gaussian processes for sequential learning' (ICML 2023)

Language: Jupyter Notebook - Size: 14.2 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 4 - Forks: 0

YyzHarry/SubpopBench

[ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift

Language: Python - Size: 222 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 45 - Forks: 5

Related Keywords
icml-2023 23 pytorch 4 icml 3 computer-vision 2 transformer 2 reinforcement-learning 2 benchmark 2 graph-neural-networks 2 information-geometry 2 deep-learning 2 binarization 1 binarized-neural-networks 1 binary-neural-networks 1 model-compression 1 vision-transformer 1 mimic-cxr 1 medical-imaging 1 model-quantization 1 artificial-intelligence 1 conferences 1 interpretability 1 ham10000 1 forecasting 1 imputation 1 kalman-filter 1 state-space-model 1 time-series 1 causal-discovery 1 graphical-models 1 structure-learning 1 data-augmentation 1 generalization 1 interpretability-and-explainability 1 spurious-correlation 1 stable-diffusion 1 end-to-end-object-detection 1 object-detection 1 chest-xrays 1 cub200-2011 1 explainability 1 explainable-ai 1 structured-prediction 1 test-time-adaptation 1 text-to-sql 1 text2sql 1 tree-matching 1 tree-similarity 1 continual-learning 1 gaussian-process 1 class-imbalance 1 domain-generalization 1 ood-generalization 1 ood-robustness 1 out-of-distribution 1 spurious-correlations 1 subgroup 1 subpopulation 1 subpopulation-shift 1 cvpr2023 1 healthcare 1 international-conference 1 machine-learning 1 research 1 belief-propagation 1 case-based-reasoning 1 ctreeot 1 domain-adaptation 1 graph-matching 1 icml2023 1 message-passing 1 optimal-transport 1 sinkhorn 1 sinkhorn-algorithm 1 sinkhorn-distance 1 sinkhorn-knopp 1 drug-discovery 1 geometric-deep-learning 1 molecule 1 molecule-generation 1 neural-architecture-search 1 one-shot-nas 1 zero-cost-nas 1 zero-cost-proxies 1 attention-model 1 graph-kernels 1 graph-learning 1 image-restoration 1 aaai-2023 1 aamas-2023 1 deep-reinforcement-learning 1 deep-reinforcement-learning-paper 1 hrrformer 1 diffusion 1 entropy 1 entropy-estimation 1 information-bottleneck 1 information-bottleneck-theory 1 manifold-learning 1 mutual-information 1 mutual-information-neural-estimator 1