Visual domain adaptation: A survey of recent advances[2015] Arxiv Learning Bounds for Moment-Based Domain Adaptation[19 Feb 2020] A General Upper Bound for Unsupervised Domain Adaptation[3 Oct 2019] On Deep Domain Adaptation: Some Theoretical Understandings[arXiv 15 Nov 2018] ...
Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift [NeurIPS 2020] Bridging Theory and Algorithm for Domain Adaptation [ICML2019] [Pytorch] On Learning Invariant Representation for Domain Adaptation [ICML2019] [code] Unsupervised Domain Adaptation Based on Source-guided Discr...
[Unsupervised domain adaptation in brain lesion segmentation with adversarial networks][scholar][IPMI2017] [whole heart and great vessel segmentation with context aware generative adversarial network][scholar][BM] [Generative Adversarial Neural Networks for Pigmented and Non-Pigmented Skin Lesions Detection ...
Unsupervised / Generative Models Convolutional Network Models Image Segmentation / Object Detection Image / Video / Etc Natural Language Processing / RNNs Speech / Other Domain Reinforcement Learning / Robotics More Papers from 2016 (More than Top 100) ...
Unsupervised Domain Adaptation in Person re-ID via k-Reciprocal Clustering and Large-Scale Heterogeneous Environment Synthesis [paper] Memorizing Comprehensively to Learn Adaptively: Unsupervised Cross-Domain Person Re-ID with Multi-level Memory [paper] Mutual Mean-Teaching: Pseudo Label Refinery for Unsup...
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Learning to Discover Cross-Domain Relations with Generative Adversarial Networks, [paper], [github] Unsupervised Creation of Parameterized Avatars, [paper] UNSUPERVISED CROSS-DOMAIN IMAGE GENERATION, [paper] ...
FineGAN: Unsupervised Hierarchical Disentanglement for Fine-Grained Object Generation and Discovery. Krishna Kumar Singh, Utkarsh Ojha, and Yong Jae Lee. CVPR, 2019. [code]Semi-Supervised Single-Stage Controllable GANs for Conditional Fine-Grained Image Generation. Tianyi Chen, Yi Liu, Yunfei Zhang,...
UnsupervisedMT: Phrase-Based & Neural Unsupervised Machine Translation. jiant: The jiant sentence representation learning toolkit. BERT-PyTorch: Pytorch implementation of Google AI's 2018 BERT, with simple annotation InferSent: Sentence embeddings (InferSent) and training code for NLI. ...
Unsupervised Degradation Representation Learning for Blind Super-Resolution# Paper:https://arxiv.org/abs/2104.00416 Code:https://github.com/LongguangWang/DASR Data-Free Knowledge Distillation For Image Super-Resolution# Paper:https://openaccess.thecvf.com/content/CVPR2021/papers/Zhang_Data-Free_Knowledg...