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conftrace_

model adaptation

191 papers

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