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Pretraining

2471 directly classified papers

Papers per year

Papers

MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning CVPR 2025
SEP: A General Lossless Compression Framework with Semantics Enhancement and Multi-Stream Pipelines IJCAI 2025
F^3OCUS - Federated Finetuning of Vision-Language Foundation Models with Optimal Client Layer Updating Strategy via Multi-objective Meta-Heuristics CVPR 2025
wavCSE: Learning Fixed-size Unified Speech Embeddings via Feature-based Multi-Task Learning IJCNLP 2025
MoRAG - Multi-Fusion Retrieval Augmented Generation for Human Motion WACV 2025
Classic Video Denoising in a Machine Learning World: Robust, Fast, and Controllable CVPR 2025
DeformCL: Learning Deformable Centerline Representation for Vessel Extraction in 3D Medical Image CVPR 2025
Interactive Medical Image Segmentation: A Benchmark Dataset and Baseline CVPR 2025
GASP: Gaussian Avatars with Synthetic Priors CVPR 2025
ASCENT-ViT: Attention-based Scale-aware Concept Learning Framework for Enhanced Alignment in Vision Transformers IJCAI 2025
SfM-Free 3D Gaussian Splatting via Hierarchical Training CVPR 2025
Video Language Model Pretraining with Spatio-temporal Masking CVPR 2025
Local Masked Reconstruction for Efficient Self-Supervised Learning on High-Resolution Images WACV 2025
The FineView Dataset:A 3D Scanned Multi-View Object Dataset of Fine-Grained Category Instances WACV 2025
Scaling Omni-modal Pretraining with Multimodal Context: Advancing Universal Representation Learning Across Modalities ICCV 2025
HQ-CLIP: Leveraging Large Vision-Language Models to Create High-Quality Image-Text Datasets and CLIP Models ICCV 2025
Less-to-More Generalization: Unlocking More Controllability by In-Context Generation ICCV 2025
OmniPaint: Mastering Object-Oriented Editing via Disentangled Insertion-Removal Inpainting ICCV 2025
Position Really Matters: Towards a Holistic Approach for Prompt Tuning NAACL 2025
When Long Helps Short: How Context Length in Supervised Fine-tuning Affects Behavior of Large Language Models EMNLP 2025
MALoRA: Mixture of Asymmetric Low-Rank Adaptation for Enhanced Multi-Task Learning NAACL 2025
Diffusion Model Patching via Mixture-of-Prompts AAAI 2025
Predicting Fine-tuned Performance on Larger Datasets Before Creating Them COLING 2025
Enhancing LLM Language Adaption through Cross-lingual In-Context Pre-training EMNLP 2025
One QuantLLM for ALL: Fine-tuning Quantized LLMs Once for Efficient Deployments ACL 2025