Application Areas

MetaIQA: Deep Meta-Learning for No-Reference Image Quality Assessment CVPR 2020 Meta-Learning without Memorization ICLR 2020 Metamorphic Testing and Certified Mitigation of Fairness Violations in NLP Models IJCAI 2020 MetaMT, a Meta Learning Method Leveraging Multiple Domain Data for Low Resource Machine Translation AAAI 2020 MetaPerturb: Transferable Regularizer for Heterogeneous Tasks and Architectures NeurIPS 2020 MetaPoison: Practical General-purpose Clean-label Data Poisoning NeurIPS 2020 Meta Variance Transfer: Learning to Augment from the Others ICML 2020 Metric-Free Individual Fairness in Online Learning NeurIPS 2020 Metric Learning in Optimal Transport for Domain Adaptation IJCAI 2020 Metric Learning Loss Functions to Reduce Domain Mismatch in the x-Vector Space for Language Recognition Interspeech 2020 MFE: Towards reproducible meta-feature extraction JMLR 2020 MIE: A Medical Information Extractor towards Medical Dialogues ACL 2020 Mimic and Conquer: Heterogeneous Tree Structure Distillation for Syntactic NLP EMNLP 2020 MIND: A Large-scale Dataset for News Recommendation ACL 2020 Mind the Trade-off: Debiasing NLU Models without Degrading the In-distribution Performance ACL 2020 Mind Your Inflections! Improving NLP for Non-Standard Englishes with Base-Inflection Encoding EMNLP 2020 MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers NeurIPS 2020 Minimax Pareto Fairness: A Multi Objective Perspective ICML 2020 Misspelling Detection from Noisy Product Images COLING 2020 Mitigating Bias in Face Recognition Using Skewness-Aware Reinforcement Learning CVPR 2020 Mitigating Gender Bias Amplification in Distribution by Posterior Regularization ACL 2020 Mitigating Gender Bias for Neural Dialogue Generation with Adversarial Learning EMNLP 2020 Mitigating Gender Bias in Machine Translation with Target Gender Annotations EMNLP 2020 Mitigating Overfitting in Supervised Classification from Two Unlabeled Datasets: A Consistent Risk Correction Approach AISTATS 2020 Mix and Match: An Optimistic Tree-Search Approach for Learning Models from Mixture Distributions NeurIPS 2020