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

Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks WACV 2025
Once Upon a Time: Interactive Learning for Storytelling with Small Language Models EMNLP 2025
A Comparison of Elementary Baselines for BabyLM EMNLP 2025
DELT: A Simple Diversity-driven EarlyLate Training for Dataset Distillation CVPR 2025
Unlocking the Potential of Model Merging for Low-Resource Languages EMNLP 2024
In2Core: Leveraging Influence Functions for Coreset Selection in Instruction Finetuning of Large Language Models EMNLP 2024
Beyond Single-Audio: Advancing Multi-Audio Processing in Audio Large Language Models EMNLP 2024
Can you Remove the Downstream Model for Speaker Recognition with Self-Supervised Speech Features? INTERSPEECH 2024
How Hard is this Test Set? NLI Characterization by Exploiting Training Dynamics EMNLP 2024
Parameter-Efficient Transfer Learning for End-to-end Speech Translation COLING 2024
Adaptive Exploration for Data-Efficient General Value Function Evaluations NIPS 2024
Data-efficient, explainable and safe box manipulation: Illustrating the advantages of physical priors in model-predictive control L4DC 2024
Residual Dropout: A Simple Approach to Improve Transformer’s Data Efficiency COLING 2024
Annotator-Centric Active Learning for Subjective NLP Tasks EMNLP 2024
Using Curriculum Masking Based on Child Language Development to Train a Large Language Model with Limited Training Data CONLL 2024
Efficiency for Free: Ideal Data Are Transportable Representations NIPS 2024
CLIPLoss and Norm-Based Data Selection Methods for Multimodal Contrastive Learning NIPS 2024
DEFT-UCS: Data Efficient Fine-Tuning for Pre-Trained Language Models via Unsupervised Core-Set Selection for Text-Editing EMNLP 2024
Towards Better Vision-Inspired Vision-Language Models CVPR 2024
CARER - ClinicAl Reasoning-Enhanced Representation for Temporal Health Risk Prediction EMNLP 2024
Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling ACL 2024
A Two-Step Approach for Data-Efficient French Pronunciation Learning EMNLP 2024
SmallToLarge (S2L): Scalable Data Selection for Fine-tuning Large Language Models by Summarizing Training Trajectories of Small Models NIPS 2024
CodeM: Less Data Yields More Versatility via Ability Matrix ACL 2024
DeepSpeed Data Efficiency: Improving Deep Learning Model Quality and Training Efficiency via Efficient Data Sampling and Routing AAAI 2024