11 results found Sort:

ucbdrive
few-shot-object-detection ucbdrive
223
1.1k
apache-2.0
28
Implementations of few-shot object detection benchmarks
icml-2020 few-shot-learning few-shot-object-detection
Created 2020-03-16
54 commits to master branch, last one 2 years ago
tim-learn
SHOT tim-learn
78
431
mit
7
code released for our ICML 2020 paper "Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation"
icml-2020 pseudo-labeling domain-adaptation transfer-learning source-hypothesis-transfer partial-set-domain-adaptation source-free-domain-adaptation multi-source-domain-adaptation
Created 2020-06-14
70 commits to master branch, last one 7 months ago
clovaai
generative-evaluation-prdc clovaai
27
241
mit
9
Code base for the precision, recall, density, and coverage metrics for generative models. ICML 2020.
icml recall fidelity icml2020 diversity icml-2020 precision evaluation deep-learning generative-model machine-learning evaluation-metrics generative-adversarial-network
Created 2020-02-21
6 commits to master branch, last one 4 years ago
louisfb01
Top-10-Computer-Vision-Papers-2020 louisfb01
37
190
mit
9
A list of the top 10 computer vision papers in 2020 with video demos, articles, code and paper reference.
cv eccv iccv ieee paper papers aaai2020 eccv2020 iclr2020 research icml-2020 nips-2020 neurips-2020 deep-learning research-paper computer-vision paper-references computer-graphics deep-neural-networks artificial-intelligence
Created 2020-12-31
4 commits to main branch, last one 2 years ago
clovaai
rebias clovaai
29
170
mit
7
Official Pytorch implementation of ReBias (Learning De-biased Representations with Biased Representations), ICML 2020
icml rebias pytorch icml2020 icml-2020 deep-learning machine-learning bias-generalisation bias-generalization
Created 2020-06-26
9 commits to master branch, last one 3 years ago
HanxunH
Active-Passive-Losses HanxunH
28
132
mit
4
[ICML2020] Normalized Loss Functions for Deep Learning with Noisy Labels
icml pytorch icml-2020 noisy-data label-noise noisy-labels deep-learning robust-learning unreliable-labels deep-neural-networks
Created 2020-02-03
22 commits to master branch, last one 2 months ago
BorgwardtLab
Set_Functions_for_Time_Series BorgwardtLab
27
120
bsd-3-clause
7
Repository of the ICML 2020 paper "Set Functions for Time Series"
icml-2020 deep-learning set-functions time-series-analysis
Created 2020-06-29
22 commits to master branch, last one 3 years ago
RAIVNLab
STR RAIVNLab
11
88
apache-2.0
7
Soft Threshold Weight Reparameterization for Learnable Sparsity
cnn str icml icml2020 imagenet sparsity icml-2020 soft-thresholding learnable-sparsity resource-efficient efficient-inference edge-machine-learning sparsity-optimization soft-threshold-reparameterization
Created 2020-04-11
53 commits to master branch, last one 3 years ago
edouardelasalles
srvp edouardelasalles
15
77
apache-2.0
3
Official implementation of the paper Stochastic Latent Residual Video Prediction
vae pytorch icml-2020 stochastic deep-learning generative-model video-prediction latent-variable-models
Created 2020-02-14
29 commits to master branch, last one 2 years ago
princeton-vl
PackIt princeton-vl
5
52
bsd-3-clause
8
Code for reproducing results in ICML 2020 paper "PackIt: A Virtual Environment for Geometric Planning"
icml-2020 open-ai-gym computer-vision unity-ml-agents virtual-environments
Created 2020-06-24
4 commits to master branch, last one about a year ago
srvCodes
continual-learning-benchmark srvCodes
10
49
mit
3
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.
tsne pytorch icml-2020 continual-learning incremental-learning lifelong-machine-learning
Created 2020-07-04
56 commits to master branch, last one 10 months ago