data efficiency

Adapting Neural Link Predictors for Data-Efficient Complex Query Answering NeurIPS 2023 BarlowRL: Barlow Twins for Data-Efficient Reinforcement Learning ACML 2023 CT-DQN: Control-Tutored Deep Reinforcement Learning L4DC 2023 Data Efficient Neural Scaling Law via Model Reusing ICML 2023 Deep Active Learning for Morphophonological Processing ACL 2023 DynaMS: Dyanmic Margin Selection for Efficient Deep Learning ICLR 2023 Exploring Automatically Perturbed Natural Language Explanations in Relation Extraction ACL 2023 Grounded Image Text Matching with Mismatched Relation Reasoning ICCV 2023 Hindsight Learning for MDPs with Exogenous Inputs ICML 2023 How Many Data Samples is an Additional Instruction Worth? EACL 2023 Human-level Atari 200x faster ICLR 2023 Improved Distribution Matching for Dataset Condensation CVPR 2023 INGENIOUS: Using Informative Data Subsets for Efficient Pre-Training of Language Models EMNLP 2023 On the Limitations of Simulating Active Learning ACL 2023 Patch Diffusion: Faster and More Data-Efficient Training of Diffusion Models NeurIPS 2023 Samples With Low Loss Curvature Improve Data Efficiency CVPR 2023 Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning NeurIPS 2023 SimPer: Simple Self-Supervised Learning of Periodic Targets ICLR 2023 State Regularized Policy Optimization on Data with Dynamics Shift NeurIPS 2023 You Only Condense Once: Two Rules for Pruning Condensed Datasets NeurIPS 2023 An Experimental Design Perspective on Model-Based Reinforcement Learning ICLR 2022 A survey on improving NLP models with human explanations ACL 2022 Bridge Data: Boosting Generalization of Robotic Skills with Cross-Domain Datasets RSS 2022 CoBERL: Contrastive BERT for Reinforcement Learning ICLR 2022 Creativity of AI: Automatic Symbolic Option Discovery for Facilitating Deep Reinforcement Learning AAAI 2022