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Transfer Learning

2362 directly classified papers

Papers per year

Papers

Self-Prompt Mechanism for Few-Shot Image Recognition AAAI 2024
Point-PEFT: Parameter-Efficient Fine-Tuning for 3D Pre-trained Models AAAI 2024
Learning to Learn Better Visual Prompts AAAI 2024
Understanding the Role of the Projector in Knowledge Distillation AAAI 2024
T2I-Adapter: Learning Adapters to Dig Out More Controllable Ability for Text-to-Image Diffusion Models AAAI 2024
LION: Implicit Vision Prompt Tuning AAAI 2024
Towards CLIP-driven Language-free 3D Visual Grounding via 2D-3D Relational Enhancement and Consistency CVPR 2024
Harnessing Edge Information for Improved Robustness in Vision Transformers AAAI 2024
Transferable Video Moment Localization by Moment-Guided Query Prompting AAAI 2024
SAM-PARSER: Fine-Tuning SAM Efficiently by Parameter Space Reconstruction AAAI 2024
SAMFlow: Eliminating Any Fragmentation in Optical Flow with Segment Anything Model AAAI 2024
WeditGAN: Few-Shot Image Generation via Latent Space Relocation AAAI 2024
TDeLTA: A Light-Weight and Robust Table Detection Method Based on Learning Text Arrangement AAAI 2024
COMMA: Co-articulated Multi-Modal Learning AAAI 2024
PPEA-Depth: Progressive Parameter-Efficient Adaptation for Self-Supervised Monocular Depth Estimation AAAI 2024
Simple Image-Level Classification Improves Open-Vocabulary Object Detection AAAI 2024
Memory-Efficient Prompt Tuning for Incremental Histopathology Classification AAAI 2024
Distribution Matching for Multi-Task Learning of Classification Tasks: A Large-Scale Study on Faces & Beyond AAAI 2024
Weakly Supervised Open-Vocabulary Object Detection AAAI 2024
DLUT and GTCOM’s Neural Machine Translation Systems for WMT24 EMNLP 2024
Unveiling the Role of Pretraining in Direct Speech Translation EMNLP 2024
Stitching Segments and Sentences towards Generalization in Video-Text Pre-training AAAI 2024
How does Architecture Influence the Base Capabilities of Pre-trained Language Models? A Case Study Based on FFN-Wider and MoE Transformers NIPS 2024
SmallToLarge (S2L): Scalable Data Selection for Fine-tuning Large Language Models by Summarizing Training Trajectories of Small Models NIPS 2024
Recovering Complete Actions for Cross-dataset Skeleton Action Recognition NIPS 2024