conftrace_

data efficiency

125 papers

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Co-occurring keywords

active learning (1301) transfer learning (5449) model compression (3302) large language model (13587) language model (4599) text classification (6793) reinforcement learning (4352) coreset selection (33) representation learning (6206) neural network (6616)

Papers

Learning with Muscles: Benefits for Data-Efficiency and Robustness in Anthropomorphic Tasks CORL 2022
Knowledge Distillation As Efficient Pre-Training: Faster Convergence, Higher Data-Efficiency, and Better Transferability CVPR 2022
Neural Circuit Architectural Priors for Embodied Control NIPS 2022
Training Subset Selection for Weak Supervision NIPS 2022
Robust On-Policy Sampling for Data-Efficient Policy Evaluation in Reinforcement Learning NIPS 2022
On the Importance of Effectively Adapting Pretrained Language Models for Active Learning ACL 2022
Efficient Argument Structure Extraction with Transfer Learning and Active Learning ACL 2022
NSGZero: Efficiently Learning Non-exploitable Policy in Large-Scale Network Security Games with Neural Monte Carlo Tree Search AAAI 2022
Meta Learning for Natural Language Processing: A Survey NAACL 2022
Dataset Condensation via Efficient Synthetic-Data Parameterization ICML 2022
Learning Action-Effect Dynamics for Hypothetical Vision-Language Reasoning Task EMNLP 2022
Modeling Image Composition for Complex Scene Generation CVPR 2022
Meta-Reward-Net: Implicitly Differentiable Reward Learning for Preference-based Reinforcement Learning NIPS 2022
ORIENT: Submodular Mutual Information Measures for Data Subset Selection under Distribution Shift NIPS 2022
Finding needles in a haystack: Sampling Structurally-diverse Training Sets from Synthetic Data for Compositional Generalization EMNLP 2021
MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge NIPS 2021
Using Physics Knowledge for Learning Rigid-body Forward Dynamics with Gaussian Process Force Priors CORL 2021
Active2 Learning: Actively reducing redundancies in Active Learning methods for Sequence Tagging and Machine Translation NAACL 2021
Subsequence Based Deep Active Learning for Named Entity Recognition ACL 2021
Graph-Based Decoding for Task Oriented Semantic Parsing EMNLP 2021
On the Importance of Hyperparameter Optimization for Model-based Reinforcement Learning AISTATS 2021
Deep Continuous Networks ICML 2021
Efficient Lottery Ticket Finding: Less Data is More ICML 2021
Physics-Informed Deep Learning for Traffic State Estimation: A Hybrid Paradigm Informed By Second-Order Traffic Models AAAI 2021
Causal Influence Detection for Improving Efficiency in Reinforcement Learning NIPS 2021