data efficiency

Causal Influence Detection for Improving Efficiency in Reinforcement Learning NeurIPS 2021 Deep Continuous Networks ICML 2021 Efficient Lottery Ticket Finding: Less Data is More ICML 2021 Finding needles in a haystack: Sampling Structurally-diverse Training Sets from Synthetic Data for Compositional Generalization EMNLP 2021 Graph-Based Decoding for Task Oriented Semantic Parsing EMNLP 2021 MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge NeurIPS 2021 On the Importance of Hyperparameter Optimization for Model-based Reinforcement Learning AISTATS 2021 Physics-Informed Deep Learning for Traffic State Estimation: A Hybrid Paradigm Informed By Second-Order Traffic Models AAAI 2021 Subsequence Based Deep Active Learning for Named Entity Recognition ACL 2021 Systematic Generalization on gSCAN: What is Nearly Solved and What is Next? EMNLP 2021 Using Physics Knowledge for Learning Rigid-body Forward Dynamics with Gaussian Process Force Priors CoRL 2021 ALICE: Active Learning with Contrastive Natural Language Explanations EMNLP 2020 Best Practices for Data-Efficient Modeling in NLG:How to Train Production-Ready Neural Models with Less Data COLING 2020 CAT: A CTC-CRF Based ASR Toolkit Bridging the Hybrid and the End-to-End Approaches Towards Data Efficiency and Low Latency Interspeech 2020 Compositional Transfer in Hierarchical Reinforcement Learning RSS 2020 Constrained Policy Improvement for Efficient Reinforcement Learning IJCAI 2020 Discriminatively-Tuned Generative Classifiers for Robust Natural Language Inference EMNLP 2020 Do We Need to Create Big Datasets to Learn a Task? EMNLP 2020 Efficient Model-Based Reinforcement Learning through Optimistic Policy Search and Planning NeurIPS 2020 Exploring the Boundaries of Low-Resource BERT Distillation EMNLP 2020 On the diminishing return of labeling clinical reports EMNLP 2020 On the importance of pre-training data volume for compact language models EMNLP 2020 Structured Mechanical Models for Robot Learning and Control L4DC 2020 Towards Learning Affine-Invariant Representations via Data-Efficient CNNs WACV 2020 Variational Recurrent Models for Solving Partially Observable Control Tasks ICLR 2020