parameter efficient

Meta-Adapter for Self-Supervised Speech Models: A Solution to Low-Resource Speech Recognition Challenges COLING 2024 MetaISP: Efficient RAW-to-sRGB Mappings with Merely 1M Parameters IJCAI 2024 MiLoRA: Efficient Mixture of Low-Rank Adaptation for Large Language Models Fine-tuning EMNLP 2024 Modeling Language Tokens as Functionals of Semantic Fields ICML 2024 MoEAD: A Parameter-efficient Model for Multi-class Anomaly Detection ECCV 2024 MoME: Mixture of Multimodal Experts for Generalist Multimodal Large Language Models NeurIPS 2024 MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts NeurIPS 2024 Normalized Narrow Jump To Conclusions: Normalized Narrow Shortcuts for Parameter Efficient Early Exit Transformer Prediction EMNLP 2024 PAELLA: Parameter-Efficient Lightweight Language-Agnostic Captioning Model NAACL 2024 Parameter Efficient Instruction Tuning of LLMs for Financial Applications IJCAI 2024 PartialFormer: Modeling Part Instead of Whole for Machine Translation ACL 2024 PECoP: Parameter Efficient Continual Pretraining for Action Quality Assessment WACV 2024 PeLK: Parameter-efficient Large Kernel ConvNets with Peripheral Convolution CVPR 2024 QuanTA: Efficient High-Rank Fine-Tuning of LLMs with Quantum-Informed Tensor Adaptation NeurIPS 2024 Quantization of Large Language Models with an Overdetermined Basis UAI 2024 S$^{2}$FT: Efficient, Scalable and Generalizable LLM Fine-tuning by Structured Sparsity NeurIPS 2024 ScaLearn: Simple and Highly Parameter-Efficient Task Transfer by Learning to Scale ACL 2024 Selective Prefix Tuning for Pre-trained Language Models ACL 2024 Self-StrAE at SemEval-2024 Task 1: Making Self-Structuring AutoEncoders Learn More With Less SemEval 2024 SLTrain: a sparse plus low rank approach for parameter and memory efficient pretraining NeurIPS 2024 Style Vectors for Steering Generative Large Language Models EACL 2024 The LLM Surgeon ICLR 2024 TRELM: Towards Robust and Efficient Pre-training for Knowledge-Enhanced Language Models COLING 2024 Turning Dust into Gold: Distilling Complex Reasoning Capabilities from LLMs by Leveraging Negative Data AAAI 2024 xCOMET-lite: Bridging the Gap Between Efficiency and Quality in Learned MT Evaluation Metrics EMNLP 2024