#

icml-2020

Here are 27 public repositories matching this topic...

ucbdrive / few-shot-object-detection

Implementations of few-shot object detection benchmarks

few-shot-learning few-shot-object-detection icml-2020

Updated Nov 21, 2023
Python

tim-learn / SHOT

code released for our ICML 2020 paper "Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation"

transfer-learning domain-adaptation pseudo-labeling multi-source-domain-adaptation icml-2020 source-hypothesis-transfer partial-set-domain-adaptation source-free-domain-adaptation

Updated Feb 22, 2024
Python

clovaai / generative-evaluation-prdc

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

Updated Jan 9, 2023
Python

louisfb01 / Top-10-Computer-Vision-Papers-2020

A list of the top 10 computer vision papers in 2020 with video demos, articles, code and paper reference.

Updated Jan 28, 2022

clovaai / rebias

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

Updated Jul 25, 2024
Python

HanxunH / Active-Passive-Losses

[ICML2020] Normalized Loss Functions for Deep Learning with Noisy Labels

deep-neural-networks deep-learning pytorch icml noisy-data label-noise noisy-labels unreliable-labels robust-learning icml-2020

Updated Jul 5, 2024
Python

BorgwardtLab / Set_Functions_for_Time_Series

Repository of the ICML 2020 paper "Set Functions for Time Series"

deep-learning time-series-analysis icml-2020 set-functions

Updated Feb 25, 2021
Python

RAIVNLab / STR

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

Updated Feb 15, 2023
Python

edouardelasalles / srvp

Official implementation of the paper Stochastic Latent Residual Video Prediction

deep-learning pytorch generative-model stochastic vae latent-variable-models video-prediction icml-2020

Updated Mar 29, 2022
Python

princeton-vl / PackIt

Code for reproducing results in ICML 2020 paper "PackIt: A Virtual Environment for Geometric Planning"

computer-vision virtual-environments open-ai-gym unity-ml-agents icml-2020

Updated Aug 20, 2023
Jupyter Notebook

srvCodes / continual-learning-benchmark

Benchmarking continual learning techniques for Human Activity Recognition data. We offer interesting insights on how the performance techniques vary with a domain other than images.

pytorch tsne incremental-learning continual-learning lifelong-machine-learning icml-2020

Updated Nov 23, 2023
Python

yunyuntsai / Black-box-Adversarial-Reprogramming

Code for "Transfer Learning without Knowing: Reprogramming Black-box Machine Learning Models with Scarce Data and Limited Resources". (ICML 2020)

machine-learning black-box-optimization social-good robust-learning icml-2020 limited-transfer-learning medical-imaging-classification

Updated Nov 14, 2020
Python

rlai-lab / Regularized-GradientTD

Code repo for Gradient Temporal-Difference Learning with Regularized Corrections paper.

reinforcement-learning neural-network learning-algorithm icml-2020

Updated Oct 14, 2020
Python

lioutasb / TaLKConvolutions

Official PyTorch implementation of Time-aware Large Kernel (TaLK) Convolutions (ICML 2020)

seq2seq icml icml-2020 icml2020 talk-convolutions

Updated Dec 9, 2020
Python

varun19299 / rigl-reproducibility

Reproducing RigL (ICML 2020) as a part of ML Reproducibility Challenge 2020

machine-learning reproducibility-challenge icml-2020

Updated Jan 6, 2022
Python

gaoliyao / Replica_Exchange_Stochastic_Gradient_MCMC

Code for Non-convex Learning via Replica Exchange Stochastic Gradient MCMC, ICML 2020.

icml-2020 sgmcmc

Updated Dec 3, 2020
Python

MLD3 / RL-Set-Valued-Policy

[ICML 2020] Clinician-in-the-Loop Decision Making: Reinforcement Learning with Near-Optimal Set-Valued Policies. https://arxiv.org/abs/2007.12678, https://icml.cc/virtual/2020/poster/5797

reinforcement-learning healthcare-application human-in-the-loop icml-2020

Updated Dec 8, 2020
Jupyter Notebook

fairwashing / fairwashing

Code-repository for the ICML 2020 paper Fairwashing explanations with off-manifold detergent

machine-learning deep-learning pytorch differential-geometry xai icml-2020

Updated Dec 18, 2020
Python

lntk / uot

The implementation for the paper "On Unbalanced Optimal Transport: An Analysis of Sinkhorn Algorithm".

optimal-transport complexity-analysis robustness icml-2020 sinkhorn-algorithm unbalanced-optimal-transport

Updated Apr 11, 2020
Jupyter Notebook

SewoongLab / RobustMetaLearningMLR

This project contains the code for the paper accepted at NeurIPS 2020 - Robust Meta-learning for Mixed Linear Regression with Small Batches.

icml metalearning robust-statistics neurips mixture-models icml-2020 neurips-2020 icml2020 neurips2020

Updated Oct 21, 2020
Python

Improve this page

Add a description, image, and links to the icml-2020 topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the icml-2020 topic, visit your repo's landing page and select "manage topics."