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17 search results found

Graph Domain Adaptaion ⭐ 43

PyTorch code for the paper "Curriculum Graph Co-Teaching for Multi-target Domain Adaptation" (CVPR2021)

Curriculum Learning For Deep Learning ⭐ 27

Curriculum Learning - Tensorflow

Adaptive_multi Curricula_learning_for_dialog ⭐ 16

The codebase for "Learning from Easy to Complex: Adaptive Multi-curricula Learning for Neural Dialogue Generation" (Cai et al., AAAI 2020)

Htrbymatching ⭐ 14

Hadwritten Text Recognition in Few-shot Scenario

L2o Training Techniques ⭐ 14

[NeurIPS 2020 Spotlight Oral] "Training Stronger Baselines for Learning to Optimize", Tianlong Chen*, Weiyi Zhang*, Jingyang Zhou, Shiyu Chang, Sijia Liu, Lisa Amini, Zhangyang Wang

Datasciencecurriculum ⭐ 14

A curated list of free courses from reputable universities that meet the requirements of a Data Science undergraduate curriculum, minus general education. With projects, support materials in an organized structure.

Curriculum Dropout ⭐ 13

Code for the paper "Curriculum Dropout", ICCV 2017

Spl Advise ⭐ 13

PyTorch code for BMVC 2018 paper: "Self-Paced Learning with Adaptive Visual Embeddings"

Visualdialog Pytorch ⭐ 13

Community Regularization of Visually Grounded Dialog https://arxiv.org/abs/1808.04359

An efficient curriculum learning-based strategy for molecular graph learning

Hcl Text2amr ⭐ 10

Code for ACL22 short Paper "Hierarchical Curriculum Learning for AMR Parsing"

Curriculum Book ⭐ 9

GeoSMART Curriculum Book for ESS 469/569

Demo_wsi_superres ⭐ 8

WSISR: Single image super-resolution for Whole slide Imaging using convolutional neural networks and self-supervised color normalization.

Contains the code for "BaRC: Backward Reachability Curriculum for Robotic Reinforcement Learning" by Boris Ivanovic, James Harrison, Apoorva Sharma, Mo Chen, Marco Pavone.

Myochallenge ⭐ 6

[NeurIPS 2022] Winning code for the Baoding ball MyoChallenge at NeurIPS 2022

Distilling Knowledge Via Intermediate Classifiers ⭐ 6

Distilling Knowledge via Intermediate Classifiers

Concept Based Curriculum Masking ⭐ 5

Efficient Pre-training of Masked Language Model via Concept-based Curriculum Masking

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