Implementations of few-shot object detection benchmarks
-
Updated
Nov 21, 2023 - Python
#
icml-2020
Here are 27 public repositories matching this topic...
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
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
A list of the top 10 computer vision papers in 2020 with video demos, articles, code and paper reference.
deep-neural-networks research computer-vision deep-learning paper computer-graphics cv artificial-intelligence ieee papers research-paper iccv eccv aaai2020 iclr2020 icml-2020 eccv2020 neurips-2020 nips-2020 paper-references
-
Updated
Jan 28, 2022
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
[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
Repository of the ICML 2020 paper "Set Functions for Time Series"
-
Updated
Feb 25, 2021 - Python
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
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
Code for reproducing results in ICML 2020 paper "PackIt: A Virtual Environment for Geometric Planning"
-
Updated
Dec 12, 2024 - Jupyter Notebook
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.
-
Updated
Nov 23, 2023 - Python
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
Code repo for Gradient Temporal-Difference Learning with Regularized Corrections paper.
-
Updated
Oct 14, 2020 - Python
Official PyTorch implementation of Time-aware Large Kernel (TaLK) Convolutions (ICML 2020)
-
Updated
Dec 9, 2020 - Python
Reproducing RigL (ICML 2020) as a part of ML Reproducibility Challenge 2020
-
Updated
Jan 6, 2022 - Python
[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
-
Updated
Dec 8, 2020 - Jupyter Notebook
Code-repository for the ICML 2020 paper Fairwashing explanations with off-manifold detergent
-
Updated
Dec 18, 2020 - Python
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
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.
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."