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Search results for iclr2021

18 search results found

AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant Weights (ICLR 2021)

365 Days Computer Vision Learning Linkedin Post ⭐ 290

365 Days Computer Vision Learning Linkedin Post

Co Mod Gan ⭐ 266

[ICLR 2021, Spotlight] Large Scale Image Completion via Co-Modulated Generative Adversarial Networks

Official implementation of the paper "You Only Need Adversarial Supervision for Semantic Image Synthesis" (ICLR 2021)

Mixstyle Release ⭐ 190

Domain Generalization with MixStyle (ICLR'21)

Contrad ⭐ 142

Code for the paper "Training GANs with Stronger Augmentations via Contrastive Discriminator" (ICLR 2021)

Code Transformer ⭐ 95

Implementation of the paper "Language-agnostic representation learning of source code from structure and context".

Warping Based_backdoor_attack Release ⭐ 42

WaNet - Imperceptible Warping-based Backdoor Attack (ICLR 2021)

Lambda.pytorch ⭐ 37

PyTorch implementation of Lambda Network and pretrained Lambda-ResNet

Shapleyexplanationnetworks ⭐ 36

Implementation of the paper "Shapley Explanation Networks"

Co Mod Gan Pytorch ⭐ 26

pytorch implementation of the paper ``Large Scale Image Completion via Co-Modulated Generative Adversarial Networks"

Cgcf Confgen ⭐ 21

🧪 Learning Neural Generative Dynamics for Molecular Conformation Generation (ICLR 2021)

Official implementation "ChipNet: Budget-Aware Pruning with Heaviside Continuous Approximations"

ICLR 2021, "Learning with feature-dependent label noise: a progressive approach"

Class Norm ⭐ 18

Class Normalization for Continual Zero-Shot Learning

Official code for Coupled Oscillatory RNN (ICLR 2021, Oral)

You Only Write Thrice ⭐ 16

A companion repository to the "You Only Write Thrice: Creating Documents, Computational Notebooks and Presentations From a Single Source" paper published at Rethinking ML Papers – ICLR 2021 Workshop.

Trust Region Layers ⭐ 8

Official implementation of the ICLR 2021 paper "Differentiable Trust Region Layers for Deep Reinforcement Learning"

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