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Transfer Learning

3884 directly classified papers

Papers per year

Papers

CARTL: Cooperative Adversarially-Robust Transfer Learning ICML 2021
Learning from Biased Data: A Semi-Parametric Approach ICML 2021
A Theory of Label Propagation for Subpopulation Shift ICML 2021
Modularity in Reinforcement Learning via Algorithmic Independence in Credit Assignment ICML 2021
A Discriminative Technique for Multiple-Source Adaptation ICML 2021
A Collective Learning Framework to Boost GNN Expressiveness for Node Classification ICML 2021
Task Uncertainty Loss Reduce Negative Transfer in Asymmetric Multi-task Feature Learning (Student Abstract) AAAI 2021
ActionBert: Leveraging User Actions for Semantic Understanding of User Interfaces AAAI 2021
Transfer Learning for Efficient Iterative Safety Validation AAAI 2021
Partial Is Better Than All: Revisiting Fine-tuning Strategy for Few-shot Learning AAAI 2021
Contrastive Self-supervised Learning for Graph Classification AAAI 2021
HopRetriever: Retrieve Hops over Wikipedia to Answer Complex Questions AAAI 2021
On the Importance of Word Order Information in Cross-lingual Sequence Labeling AAAI 2021
Multi-Domain Multilingual Question Answering EMNLP 2021
An Iterative Multi-Knowledge Transfer Network for Aspect-Based Sentiment Analysis EMNLP 2021
Grounded Graph Decoding improves Compositional Generalization in Question Answering EMNLP 2021
On the Complementarity between Pre-Training and Back-Translation for Neural Machine Translation EMNLP 2021
Is Stance Detection Topic-Independent and Cross-topic Generalizable? - A Reproduction Study EMNLP 2021
Improving End-to-End Task-Oriented Dialog System with A Simple Auxiliary Task EMNLP 2021
Benchmarking Representation Learning for Natural World Image Collections CVPR 2021
Delving into Data: Effectively Substitute Training for Black-box Attack CVPR 2021
MetaHTR: Towards Writer-Adaptive Handwritten Text Recognition CVPR 2021
Language Representations for Generalization in Reinforcement Learning ACML 2021
Does language help generalization in vision models? CONLL 2021
Incorporating causal graphical prior knowledge into predictive modeling via simple data augmentation UAI 2021