conftrace_

parameter-efficient transfer learning

47 papers

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Also known as

PETL

Co-occurring keywords

transfer learning (5449) model compression (3302) parameter-efficient fine-tuning (736) adapter module (90) multi-task learning (2575) mixture of expert (640) prompt tuning (391) domain adaptation (4595) memory efficiency (261) language model (4599)

Papers

MP-ISMoE: Mixed-Precision Interactive Side Mixture-of-Experts for Efficient Transfer Learning AAAI 2026
Beyond Adapter Retrieval: Latent Geometry-Preserving Composition via Sparse Task Projection AAAI 2026
TM-Adapter: Temporal Merge Adapter for Efficient Global Temporal Modeling WACV 2026
JEN-1 DreamStyler: Customized Musical Concept Learning via Pivotal Parameters Tuning AAAI 2025
DM-Adapter: Domain-Aware Mixture-of-Adapters for Text-Based Person Retrieval AAAI 2025
Stacked LoRA: Isolated Low-Rank Adaptation for Lifelong Knowledge Management AACL 2025
CLIP is Almost All You Need: Towards Parameter-Efficient Scene Text Retrieval without OCR CVPR 2025
Learning Unified Distance Metric Across Diverse Data Distributions with Parameter-Efficient Transfer Learning WACV 2025
CALLIC: Content Adaptive Learning for Lossless Image Compression AAAI 2025
Parameter-Efficient Transfer Learning for End-to-end Speech Translation COLING 2024
Leveraging Adapter for Parameter-Efficient ASR Encoder INTERSPEECH 2024
V-PETL Bench: A Unified Visual Parameter-Efficient Transfer Learning Benchmark NIPS 2024
Efficient Fine-tuning of Audio Spectrogram Transformers via Soft Mixture of Adapters INTERSPEECH 2024
DTL: Disentangled Transfer Learning for Visual Recognition AAAI 2024
MmAP: Multi-Modal Alignment Prompt for Cross-Domain Multi-Task Learning AAAI 2024
VMT-Adapter: Parameter-Efficient Transfer Learning for Multi-Task Dense Scene Understanding AAAI 2024
MaPPER: Multimodal Prior-guided Parameter Efficient Tuning for Referring Expression Comprehension EMNLP 2024
Dynamic Adapter Meets Prompt Tuning: Parameter-Efficient Transfer Learning for Point Cloud Analysis CVPR 2024
Mixtures of Experts for Audio-Visual Learning NIPS 2024
p-Laplacian Adaptation for Generative Pre-trained Vision-Language Models AAAI 2024
UniPT: Universal Parallel Tuning for Transfer Learning with Efficient Parameter and Memory CVPR 2024
READ-PVLA: Recurrent Adapter with Partial Video-Language Alignment for Parameter-Efficient Transfer Learning in Low-Resource Video-Language Modeling AAAI 2024
PEMT: Multi-Task Correlation Guided Mixture-of-Experts Enables Parameter-Efficient Transfer Learning ACL 2024
Layer by Layer: Uncovering Where Multi-Task Learning Happens in Instruction-Tuned Large Language Models EMNLP 2024
Diffusion Tuning: Transferring Diffusion Models via Chain of Forgetting NIPS 2024