Meta-Learning

Toward Optimal Solution for the Context-Attentive Bandit Problem IJCAI 2021 Toward Robust Long Range Policy Transfer AAAI 2021 Towards Enabling Meta-Learning from Target Models NeurIPS 2021 Towards robust episodic meta-learning UAI 2021 Towards Zero-Shot Learning With Fewer Seen Class Examples WACV 2021 Trajectory-Based Meta-Learning for Out-Of-Vocabulary Word Embedding Learning EACL 2021 TransPrompt: Towards an Automatic Transferable Prompting Framework for Few-shot Text Classification EMNLP 2021 Two Sides of Meta-Learning Evaluation: In vs. Out of Distribution NeurIPS 2021 Uncertainty quantification using martingales for misspecified Gaussian processes ALT 2021 Uniform Sampling over Episode Difficulty NeurIPS 2021 Unsupervised Neural Machine Translation for Low-Resource Domains via Meta-Learning ACL 2021 Variance-reduced First-order Meta-learning for Natural Language Processing Tasks NAACL 2021 Variational Automatic Curriculum Learning for Sparse-Reward Cooperative Multi-Agent Problems NeurIPS 2021 Variational Continual Bayesian Meta-Learning NeurIPS 2021 VariBAD: Variational Bayes-Adaptive Deep RL via Meta-Learning JMLR 2021 Vector Quantized Models for Planning ICML 2021 ViPNAS: Efficient Video Pose Estimation via Neural Architecture Search CVPR 2021 Weakly Supervised Volumetric Segmentation via Self-taught Shape Denoising Model MIDL 2021 When MAML Can Adapt Fast and How to Assist When It Cannot AISTATS 2021 XLPT-AMR: Cross-Lingual Pre-Training via Multi-Task Learning for Zero-Shot AMR Parsing and Text Generation ACL 2021 X-METRA-ADA: Cross-lingual Meta-Transfer learning Adaptation to Natural Language Understanding and Question Answering NAACL 2021 A Closer Look at the Training Strategy for Modern Meta-Learning NeurIPS 2020 AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search IJCAI 2020 A Generic First-Order Algorithmic Framework for Bi-Level Programming Beyond Lower-Level Singleton ICML 2020 ANA at SemEval-2020 Task 4: MUlti-task learNIng for cOmmonsense reasoNing (UNION) SemEval 2020