New ICLR Submissions

[stes]

Just as a quick link list, here is a list of ICLR Submissions using the keyword "Domain Adaptation". I guess waiting for the reviews makes sense before including them in the reading list.

Unsupervised DA

• A Collaborative Low-Rank Reconstructive Layer for Domain Shift Problems 
• Confidence Regularized Self-Training 
• Variational Domain Adaptation 
• Cosine similarity-based Adversarial process 
• DOMAIN ADAPTATION VIA DISTRIBUTION AND REPRESENTATION MATCHING: A CASE STUDY ON TRAINING DATA SELECTION VIA REINFORCEMENT LEARNING 
• Unsupervised Domain Adaptation for Distance Metric Learning 

Open set

• Learning Factorized Representations for Open-Set Domain Adaptation
• Reducing Overconfident Errors outside the Known Distribution 

Translation Based

• Augmented Cyclic Adversarial Learning for Domain Adaptation 
• Exemplar Guided Unsupervised Image-to-Image Translation with Semantic Consistency

Adversarial Adaptation

• IMPROVING ADVERSARIAL DISCRIMINATIVE DOMAIN ADAPTATION 

Dataset based

• Dataset Distillation 
• Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning 

Unsupervised

• Domain Adaptation for Structured Output via Disentangled Patch Representations 

Applications

• ADVERSARIAL DOMAIN ADAPTATION FOR STABLE BRAIN-MACHINE INTERFACES 

Multidomain Learning/Domain Generalization

• Multi-Domain Adversarial Learning 
• GradMix: Multi-source Transfer across Domains and Tasks 
• The Natural Language Decathlon: Multitask Learning as Question Answering 
• Semi-supervised Learning with Multi-Domain Sentiment Word Embeddings 
• Meta Domain Adaptation: Meta-Learning for Few-Shot Learning under Domain Shift 
• Unsupervised Multi-Target Domain Adaptation: An Information Theoretic Approach 

Adv Examples as Domain Shift

• Improving the Generalization of Adversarial Training with Domain Adaptation 
• SPIGAN: Privileged Adversarial Learning from Simulation 

Unsorted

• Stacking for Transfer Learning 
• NETWORK COMPRESSION USING CORRELATION ANALYSIS OF LAYER RESPONSES 
• REVISTING NEGATIVE TRANSFER USING ADVERSARIAL LEARNING 
• Regularized Learning for Domain Adaptation under Label Shifts 

[artix41]

Great, thanks for making this list, some of them look very interesting! I guess we can indeed wait a bit for the official publication.

[sanxing-chen]

Since the decision of ICLR 2019 was made, I think we can put some of the new papers into the list.😄

[stes]

@STayinloves Yes, I will go through the list and open a PR over the weekend.