Co-occurring keywords · papers mentioning both
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