Co-occurring keywords · papers mentioning both
Papers
SIBO: A Simple Booster for Parameter-Efficient Fine-Tuning
ACL 2024
Sparse High Rank Adapters
NeurIPS 2024
Speaker Personalization for Automatic Speech Recognition using Weight-Decomposed Low-Rank Adaptation
Interspeech 2024
Spectral Adapter: Fine-Tuning in Spectral Space
NeurIPS 2024
Speculative Speech Recognition by Audio-Prefixed Low-Rank Adaptation of Language Models
Interspeech 2024
Speech and Language Recognition with Low-rank Adaptation of Pretrained Models
Interspeech 2024
Speech-based Slot Filling using Large Language Models
ACL 2024
SRIB-NMT’s Submission to the Indic MT Shared Task in WMT 2024
EMNLP 2024
SSDiff: Spatial-spectral Integrated Diffusion Model for Remote Sensing Pansharpening
NeurIPS 2024
STAR: Constraint LoRA with Dynamic Active Learning for Data-Efficient Fine-Tuning of Large Language Models
ACL 2024
Structured Unrestricted-Rank Matrices for Parameter Efficient Finetuning
NeurIPS 2024
StyleRemix: Interpretable Authorship Obfuscation via Distillation and Perturbation of Style Elements
EMNLP 2024
SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors
NeurIPS 2024
TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models
ICLR 2024
The Art of Saying No: Contextual Noncompliance in Language Models
NeurIPS 2024
The Expressive Power of Low-Rank Adaptation
ICLR 2024
The Impact of Initialization on LoRA Finetuning Dynamics
NeurIPS 2024
Thinking Forward: Memory-Efficient Federated Finetuning of Language Models
NeurIPS 2024
Tied-LoRA: Enhancing parameter efficiency of LoRA with Weight Tying
NAACL 2024
Time-Varying LoRA: Towards Effective Cross-Domain Fine-Tuning of Diffusion Models
NeurIPS 2024
Towards One-to-Many Visual Question Answering
EMNLP 2024
Towards Rehearsal-Free Multilingual ASR: A LoRA-based Case Study on Whisper
Interspeech 2024
Transforming Vision Transformer: Towards Efficient Multi-Task Asynchronous Learner
NeurIPS 2024
Tuning LayerNorm in Attention: Towards Efficient Multi-Modal LLM Finetuning
ICLR 2024
Understanding Linear Probing then Fine-tuning Language Models from NTK Perspective
NeurIPS 2024