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Machine Learning
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Application Areas
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Domain Adaptation
8,656 papers
Papers per year
2003: 1
2004: 2
2006: 11
2007: 9
2008: 8
2009: 13
2010: 14
2011: 16
2012: 16
2013: 44
2014: 32
2015: 44
2016: 126
2017: 203
2018: 378
2019: 662
2020: 726
2021: 1006
2022: 964
2023: 1217
2024: 1326
2025: 1387
2026: 451
Papers
Can Neural Networks Automatically Score Essay Traits?
ACL 2020
Comparative Analysis of Text Classification Approaches in Electronic Health Records
ACL 2020
Domain Adaptation and Instance Selection for Disease Syndrome Classification over Veterinary Clinical Notes
ACL 2020
An Empirical Study of Multi-Task Learning on BERT for Biomedical Text Mining
ACL 2020
Context-Aware Sarcasm Detection Using BERT
ACL 2020
Enhanced Universal Dependency Parsing with Second-Order Inference and Mixture of Training Data
ACL 2020
Xiaomi’s Submissions for IWSLT 2020 Open Domain Translation Task
ACL 2020
NAIST’s Machine Translation Systems for IWSLT 2020 Conversational Speech Translation Task
ACL 2020
Distill, Adapt, Distill: Training Small, In-Domain Models for Neural Machine Translation
ACL 2020
Expand and Filter: CUNI and LMU Systems for the WNGT 2020 Duolingo Shared Task
ACL 2020
Improving Document-Level Neural Machine Translation with Domain Adaptation
ACL 2020
Towards Understanding ASR Error Correction for Medical Conversations
ACL 2020
Screenplay Quality Assessment: Can We Predict Who Gets Nominated?
ACL 2020
Multi-Task Supervised Pretraining for Neural Domain Adaptation
ACL 2020
A One-step Approach to Covariate Shift Adaptation
ACML 2020
Inferring Continuous Treatment Doses from Historical Data via Model-Based Entropy-Regularized Reinforcement Learning
ACML 2020
Learning Overlapping Representations for the Estimation of Individualized Treatment Effects
AISTATS 2020
Mitigating Overfitting in Supervised Classification from Two Unlabeled Datasets: A Consistent Risk Correction Approach
AISTATS 2020
Regularity as Regularization: Smooth and Strongly Convex Brenier Potentials in Optimal Transport
AISTATS 2020
Simulator Calibration under Covariate Shift with Kernels
AISTATS 2020
Calibrated Prediction with Covariate Shift via Unsupervised Domain Adaptation
AISTATS 2020
Weighed Domain-Invariant Representation Learning for Cross-domain Sentiment Analysis
COLING 2020
A Representation Learning Approach to Animal Biodiversity Conservation
COLING 2020
SentiX: A Sentiment-Aware Pre-Trained Model for Cross-Domain Sentiment Analysis
COLING 2020
Arabizi Language Models for Sentiment Analysis
COLING 2020
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