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Meta-Learning

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Papers

BERT-based Multi-Task Model for Country and Province Level MSA and Dialectal Arabic Identification EACL 2021 Beyond Reptile: Meta-Learned Dot-Product Maximization between Gradients for Improved Single-Task Regularization EMNLP 2021 Bias-tolerant Fair Classification ACML 2021 BOIL: Towards Representation Change for Few-shot Learning ICLR 2021 Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation ICML 2021 Bridging the Gap Between Practice and PAC-Bayes Theory in Few-Shot Meta-Learning NeurIPS 2021 Camera Distortion-Aware 3D Human Pose Estimation in Video With Optimization-Based Meta-Learning ICCV 2021 ChaCha for Online AutoML ICML 2021 Cluster, Split, Fuse, and Update: Meta-Learning for Open Compound Domain Adaptive Semantic Segmentation CVPR 2021 Cold-start Sequential Recommendation via Meta Learner AAAI 2021 Competence-based Curriculum Learning for Multilingual Machine Translation EMNLP 2021 Competence-based Multimodal Curriculum Learning for Medical Report Generation ACL 2021 Conditionally Adaptive Multi-Task Learning: Improving Transfer Learning in NLP Using Fewer Parameters & Less Data ICLR 2021 Continual Learning using a Bayesian Nonparametric Dictionary of Weight Factors AISTATS 2021 Continual Learning via Local Module Composition NeurIPS 2021 Continual Quality Estimation with Online Bayesian Meta-Learning ACL 2021 Convergence and Accuracy Trade-Offs in Federated Learning and Meta-Learning AISTATS 2021 Convergence Properties of Stochastic Hypergradients AISTATS 2021 Cross-Lingual Transfer with MAML on Trees EACL 2021 cs60075_team2 at SemEval-2021 Task 1 : Lexical Complexity Prediction using Transformer-based Language Models pre-trained on various text corpora SemEval 2021 CURI: A Benchmark for Productive Concept Learning Under Uncertainty ICML 2021 Curriculum Learning by Optimizing Learning Dynamics AISTATS 2021 Data Augmentation for Meta-Learning ICML 2021 Dataset Meta-Learning from Kernel Ridge-Regression ICLR 2021 Debiasing Model Updates for Improving Personalized Federated Training ICML 2021