Transfer Learning

Rethinking Few Shot CLIP Benchmarks: A Critical Analysis in the Inductive Setting ICCV 2025 Rethinking Personalized Aesthetics Assessment: Employing Physique Aesthetics Assessment as An Exemplification CVPR 2025 Retrieval-Augmented Dynamic Prompt Tuning for Incomplete Multimodal Learning AAAI 2025 Revisiting Pool-based Prompt Learning for Few-shot Class-incremental Learning ICCV 2025 Right Time to Learn: Promoting Generalization via Bio-inspired Spacing Effect in Knowledge Distillation ICML 2025 R-LoRA: Randomized Multi-Head LoRA for Efficient Multi-task Learning EMNLP 2025 RoDA: Robust Domain Alignment for Cross-Domain Retrieval Against Label Noise AAAI 2025 RuleEdit: Towards Rule-Level Knowledge Generalization to Mitigate Over-Editing in Large Language Models ACL 2025 SabiYarn: Advancing Low Resource Languages with Multitask NLP Pretraining ACL 2025 SampleMix: A Sample-wise Pre-training Data Mixing Strategy by Coordinating Data Quality and Diversity EMNLP 2025 Sam’s Fans at the Crypto Trading Challenge Task: A Threshold-Based Decision Approach Based on FinMem Framework COLING 2025 SAN: Hypothesizing Long-Term Synaptic Development and Neural Engram Mechanism in Scalable Model’s Parameter-Efficient Fine-Tuning ICML 2025 Scale Your Instructions: Enhance the Instruction-Following Fidelity of Unified Image Generation Model by Self-Adaptive Attention Scaling ICCV 2025 Scaling Language-Free Visual Representation Learning ICCV 2025 Scaling Low-Resource MT via Synthetic Data Generation with LLMs EMNLP 2025 Scaling up Image Segmentation across Data and Tasks CVPR 2025 SeedLoRA: A Fusion Approach to Efficient LLM Fine-Tuning ICML 2025 SegDesicNet: Lightweight Semantic Segmentation in Remote Sensing with Geo-Coordinate Embeddings for Domain Adaptation WACV 2025 Selecting and Merging: Towards Adaptable and Scalable Named Entity Recognition with Large Language Models ACL 2025 Selective Self-to-Supervised Fine-Tuning for Generalization in Large Language Models NAACL 2025 Self-Bootstrapping for Versatile Test-Time Adaptation ICML 2025 Self-Instructed Derived Prompt Generation Meets In-Context Learning: Unlocking New Potential of Black-Box LLMs ACL 2025 Semantic Shift Estimation via Dual-Projection and Classifier Reconstruction for Exemplar-Free Class-Incremental Learning ICML 2025 SemiVisBooster: Boosting Semi-Supervised Learning for Fine-Grained Classification through Pseudo-Label Semantic Guidance ICCV 2025 Skeletons Matter: Dynamic Data Augmentation for Text-to-Query EMNLP 2025