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conftrace_

parameter-efficient transfer learning

58 papers

PETL

Papers

UniAdapter: Unified Parameter-Efficient Transfer Learning for Cross-modal Modeling ICLR 2024 UniPT: Universal Parallel Tuning for Transfer Learning with Efficient Parameter and Memory CVPR 2024 VMT-Adapter: Parameter-Efficient Transfer Learning for Multi-Task Dense Scene Understanding AAAI 2024 V-PETL Bench: A Unified Visual Parameter-Efficient Transfer Learning Benchmark NeurIPS 2024 π-Tuning: Transferring Multimodal Foundation Models with Optimal Multi-task Interpolation ICML 2023 Adapter Pruning using Tropical Characterization EMNLP 2023 Adapters: A Unified Library for Parameter-Efficient and Modular Transfer Learning EMNLP 2023 Conditional Adapters: Parameter-efficient Transfer Learning with Fast Inference NeurIPS 2023 Contrastive Alignment of Vision to Language Through Parameter-Efficient Transfer Learning ICLR 2023 Dataset Quantization ICCV 2023 Dec-Adapter: Exploring Efficient Decoder-Side Adapter for Bridging Screen Content and Natural Image Compression ICCV 2023 FacT: Factor-Tuning for Lightweight Adaptation on Vision Transformer AAAI 2023 Multitask Prompt Tuning Enables Parameter-Efficient Transfer Learning ICLR 2023 One Network, Many Masks: Towards More Parameter-Efficient Transfer Learning ACL 2023 Parameter and Computation Efficient Transfer Learning for Vision-Language Pre-trained Models NeurIPS 2023 Probing Out-of-Distribution Robustness of Language Models with Parameter-Efficient Transfer Learning ACL 2023 Prompter: Zero-shot Adaptive Prefixes for Dialogue State Tracking Domain Adaptation ACL 2023 Token Mixing: Parameter-Efficient Transfer Learning from Image-Language to Video-Language AAAI 2023 Visual Query Tuning: Towards Effective Usage of Intermediate Representations for Parameter and Memory Efficient Transfer Learning CVPR 2023 VLN-PETL: Parameter-Efficient Transfer Learning for Vision-and-Language Navigation ICCV 2023 AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition NeurIPS 2022 Domain Generalisation of NMT: Fusing Adapters with Leave-One-Domain-Out Training ACL 2022 Empowering parameter-efficient transfer learning by recognizing the kernel structure in self-attention NAACL 2022 Inducer-tuning: Connecting Prefix-tuning and Adapter-tuning EMNLP 2022 LST: Ladder Side-Tuning for Parameter and Memory Efficient Transfer Learning NeurIPS 2022