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Papers (including subtopics)

Theoretical bounds on estimation error for meta-learning ICLR 2021 The Power of Scale for Parameter-Efficient Prompt Tuning EMNLP 2021 The Recurrent Neural Tangent Kernel ICLR 2021 The Role of Global Labels in Few-Shot Classification and How to Infer Them NeurIPS 2021 The Sample Complexity of Meta Sparse Regression AISTATS 2021 The Task Specification Problem CoRL 2021 The Unbalanced Gromov Wasserstein Distance: Conic Formulation and Relaxation NeurIPS 2021 THiFly_Queens at SemEval-2021 Task 9: Two-stage Statement Verification with Adaptive Ensembling and Slot-based Operation SemEval 2021 Think Big, Teach Small: Do Language Models Distil Occam’s Razor? NeurIPS 2021 Time-variant variational transfer for value functions UAI 2021 ToAlign: Task-Oriented Alignment for Unsupervised Domain Adaptation NeurIPS 2021 To Beam Or Not To Beam: That is a Question of Cooperation for Language GANs NeurIPS 2021 To Block or not to Block: Experiments with Machine Learning for News Comment Moderation EACL 2021 TODS: An Automated Time Series Outlier Detection System AAAI 2021 TOHAN: A One-step Approach towards Few-shot Hypothesis Adaptation NeurIPS 2021 To POS Tag or Not to POS Tag: The Impact of POS Tags on Morphological Learning in Low-Resource Settings ACL 2021 Toward Optimal Solution for the Context-Attentive Bandit Problem IJCAI 2021 Toward Robust Long Range Policy Transfer AAAI 2021 Towards Contextual Learning in Few-Shot Object Classification WACV 2021 Towards Enabling Learnware to Handle Unseen Jobs AAAI 2021 Towards Enabling Meta-Learning from Target Models NeurIPS 2021 Towards Few-shot Fact-Checking via Perplexity NAACL 2021 Towards Flexible Device Participation in Federated Learning AISTATS 2021 Towards Novel Target Discovery Through Open-Set Domain Adaptation ICCV 2021 Towards Offensive Language Identification for Dravidian Languages EACL 2021