Co-occurring keywords · papers mentioning both
Papers
DySR: Adaptive Super-Resolution via Algorithm and System Co-design
ICLR 2023
Efficient Adaptation of Spoken Language Understanding based on End-to-End Automatic Speech Recognition
Interspeech 2023
Efficient Low-rank Backpropagation for Vision Transformer Adaptation
NeurIPS 2023
Extrapolating Multilingual Understanding Models as Multilingual Generators
EMNLP 2023
Fair Generative Models via Transfer Learning
AAAI 2023
HiFi: High-Information Attention Heads Hold for Parameter-Efficient Model Adaptation
ACL 2023
HyperTuning: Toward Adapting Large Language Models without Back-propagation
ICML 2023
Improved Test-Time Adaptation for Domain Generalization
CVPR 2023
Informative Data Mining for One-Shot Cross-Domain Semantic Segmentation
ICCV 2023
Joint Learning Feature and Model Adaptation for Unsupervised Acoustic Modelling of Child Speech
Interspeech 2023
Know Where You’re Going: Meta-Learning for Parameter-Efficient Fine-Tuning
ACL 2023
MetaF2N: Blind Image Super-Resolution by Learning Efficient Model Adaptation from Faces
ICCV 2023
Mini-Model Adaptation: Efficiently Extending Pretrained Models to New Languages via Aligned Shallow Training
ACL 2023
Model Adaptive Tooth Segmentation
MIDL 2023
Multi-Source Test-Time Adaptation as Dueling Bandits for Extractive Question Answering
ACL 2023
Neural Model Reprogramming with Similarity Based Mapping for Low-Resource Spoken Command Recognition
Interspeech 2023
Neural Priming for Sample-Efficient Adaptation
NeurIPS 2023
OpenDelta: A Plug-and-play Library for Parameter-efficient Adaptation of Pre-trained Models
ACL 2023
Overcoming Concept Shift in Domain-Aware Settings through Consolidated Internal Distributions
AAAI 2023
Parameter-efficient Tuning of Large-scale Multimodal Foundation Model
NeurIPS 2023
Parameter-Efficient Tuning with Special Token Adaptation
EACL 2023
Prefix Propagation: Parameter-Efficient Tuning for Long Sequences
ACL 2023
RDumb: A simple approach that questions our progress in continual test-time adaptation
NeurIPS 2023
Res-Tuning: A Flexible and Efficient Tuning Paradigm via Unbinding Tuner from Backbone
NeurIPS 2023
SAFE: Machine Unlearning With Shard Graphs
ICCV 2023