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Topic: "icml-2019"

adobe/antialiased-cnns

pip install antialiased-cnns to improve stability and accuracy

Language: Python - Size: 74.2 MB - Last synced at: 8 days ago - Pushed at: about 1 year ago - Stars: 1,675 - Forks: 205

princeton-vl/CoqGym

A Learning Environment for Theorem Proving with the Coq proof assistant

Language: Coq - Size: 32 MB - Last synced at: 11 days ago - Pushed at: almost 2 years ago - Stars: 401 - Forks: 51

richzhang/antialiased-cnns

Repository has been moved: https://github.com/adobe/antialiased-cnns

Size: 74 MB - Last synced at: 3 months ago - Pushed at: over 3 years ago - Stars: 165 - Forks: 4

mfbalin/Concrete-Autoencoders

Language: Jupyter Notebook - Size: 356 KB - Last synced at: 28 days ago - Pushed at: about 3 years ago - Stars: 118 - Forks: 31

kdexd/probnmn-clevr

Code for ICML 2019 paper "Probabilistic Neural-symbolic Models for Interpretable Visual Question Answering" [long-oral]

Language: Python - Size: 1.6 MB - Last synced at: 8 days ago - Pushed at: almost 2 years ago - Stars: 66 - Forks: 12

YyzHarry/ME-Net

[ICML 2019] ME-Net: Towards Effective Adversarial Robustness with Matrix Estimation

Language: Python - Size: 2.37 MB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 49 - Forks: 9

IBM/online-alt-min 📦

Source code for paper Choromanska et al. -- Beyond Backprop: Online Alternating Minimization with Auxiliary Variables -- http://proceedings.mlr.press/v97/choromanska19a.html

Language: Python - Size: 27.3 KB - Last synced at: 29 days ago - Pushed at: over 5 years ago - Stars: 24 - Forks: 16

rctzeng/ICML19-EgoCNN

Code for "Distributed, Egocentric Representations of Graphs for Detecting Critical Structures" (ICML 2019)

Language: Python - Size: 164 KB - Last synced at: about 2 months ago - Pushed at: almost 4 years ago - Stars: 20 - Forks: 4

praneethmurthy/low-rank-phase-retrieval

MATLAB implementation of "Phaseless Low Rank Matrix Recovery and Subspace Tracking", ICML 2019, longer version to appear in IEEE Transactions on Information Theory, 2020.

Language: MATLAB - Size: 2.05 MB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 11 - Forks: 9

nvedant07/effort_reward_fairness

Code for ICML 2019 paper titled "On the Long-term Impact of Algorithmic Decision Policies: Effort Unfairness and Feature Segregation through Social Learning"

Language: Python - Size: 998 KB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 3 - Forks: 2

Related Topics
icml 6 convolutional-neural-networks 3 machine-learning 3 shift-invariant 2 shift-equivariant 2 deep-learning 2 computer-vision 1 alternating-minimization 1 ibm-research-ai 1 pytorch 1 theorem-proving 1 concrete-autoencoders 1 feature-selection 1 supervised-learning 1 unsupervised-learning 1 graph-convolutional-neural-networks 1 graph-embeddings 1 graph-networks 1 graph-neural-networks 1 interpretability 1 scale-free-networks 1 self-similarity 1 clevr 1 neural-module-networks 1 probabilistic-models 1 vqa 1 adversarial-attacks 1 adversarial-example 1 defense 1 matrix-completion 1 matrix-estimation 1 ml-safety 1 robustness 1 inverse-problems 1 low-rank-matrix-recovery 1 phaseretrieval 1 subspace-tracking 1 ai 1 explainable-ml 1 fairness-ml 1 interpretable-machine-learning 1 social-learning 1 convolutional-networks 1 antialiasing 1 artificial-intelligence 1 cnns 1