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conftrace_

data efficiency

160 papers

Papers

Dataset Condensation via Efficient Synthetic-Data Parameterization ICML 2022 Efficient Argument Structure Extraction with Transfer Learning and Active Learning ACL 2022 Evaluating Model-Based Planning and Planner Amortization for Continuous Control ICLR 2022 ExtEnD: Extractive Entity Disambiguation ACL 2022 HTLM: Hyper-Text Pre-Training and Prompting of Language Models ICLR 2022 Is More Data Better? Re-thinking the Importance of Efficiency in Abusive Language Detection with Transformers-Based Active Learning COLING 2022 Knowledge Distillation As Efficient Pre-Training: Faster Convergence, Higher Data-Efficiency, and Better Transferability CVPR 2022 Learning Action-Effect Dynamics for Hypothetical Vision-Language Reasoning Task EMNLP 2022 Learning with Domain Knowledge to Develop Justifiable Convolutional Networks ACML 2022 Learning with Muscles: Benefits for Data-Efficiency and Robustness in Anthropomorphic Tasks CoRL 2022 Meta Learning for Natural Language Processing: A Survey NAACL 2022 Meta-Reward-Net: Implicitly Differentiable Reward Learning for Preference-based Reinforcement Learning NeurIPS 2022 Modeling Image Composition for Complex Scene Generation CVPR 2022 Multi-Agent MDP Homomorphic Networks ICLR 2022 Neural Circuit Architectural Priors for Embodied Control NeurIPS 2022 Non-Linear Operator Approximations for Initial Value Problems ICLR 2022 NSGZero: Efficiently Learning Non-exploitable Policy in Large-Scale Network Security Games with Neural Monte Carlo Tree Search AAAI 2022 On Efficiently Acquiring Annotations for Multilingual Models ACL 2022 On the Importance of Effectively Adapting Pretrained Language Models for Active Learning ACL 2022 ORIENT: Submodular Mutual Information Measures for Data Subset Selection under Distribution Shift NeurIPS 2022 Robust On-Policy Sampling for Data-Efficient Policy Evaluation in Reinforcement Learning NeurIPS 2022 Training Subset Selection for Weak Supervision NeurIPS 2022 X-model: Improving Data Efficiency in Deep Learning with A Minimax Model ICLR 2022 Active2 Learning: Actively reducing redundancies in Active Learning methods for Sequence Tagging and Machine Translation NAACL 2021 Cartography Active Learning EMNLP 2021