Research Explorer
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Achievements
About
Methodology
← Techniques
Deep Learning
›
Techniques
›
Pretraining
2471 directly classified papers
Papers per year
2009: 2
2010: 1
2012: 1
2013: 1
2014: 4
2015: 5
2016: 19
2017: 26
2018: 33
2019: 117
2020: 218
2021: 311
2022: 333
2023: 451
2024: 448
2025: 373
2026: 128
Papers
JEN-1 DreamStyler: Customized Musical Concept Learning via Pivotal Parameters Tuning
AAAI 2025
LP-FT-LoRA: A Three-Stage PEFT Framework for Efficient Domain Adaptation in Bangla NLP Tasks
IJCNLP 2025
Enhance Vision-Language Alignment with Noise
AAAI 2025
MIETT: Multi-Instance Encrypted Traffic Transformer for Encrypted Traffic Classification
AAAI 2025
The FineView Dataset:A 3D Scanned Multi-View Object Dataset of Fine-Grained Category Instances
WACV 2025
Scaling Language-Free Visual Representation Learning
ICCV 2025
GraphTranslate: Predicting Clinical Trial Translation using Graph Neural Networks on Biomedical Literature
ACL 2025
MixDiff: Mixing Natural and Synthetic Images for Robust Self-Supervised Representations
WACV 2025
FusionPhys: A Flexible Framework for Fusing Complementary Sensing Modalities in Remote Physiological Measurement
ICCV 2025
VoxRAG: A Step Toward Transcription-Free RAG Systems in Spoken Question Answering
ACL 2025
GEOPARD: Geometric Pretraining for Articulation Prediction in 3D Shapes
ICCV 2025
DreaMo: Articulated 3D Reconstruction from a Single Casual Video
WACV 2025
DreamBlend: Advancing Personalized Fine-Tuning of Text-to-Image Diffusion Models
WACV 2025
Efficient Visual Place Recognition Through Multimodal Semantic Knowledge Integration
ICCV 2025
LegoMT2: Selective Asynchronous Sharded Data Parallel Training for Massive Neural Machine Translation
ACL 2025
Efficient Fine-Tuning of Large Models via Nested Low-Rank Adaptation
ICCV 2025
ConformalSAM: Unlocking the Potential of Foundational Segmentation Models in Semi-Supervised Semantic Segmentation with Conformal Prediction
ICCV 2025
Each graph is a new language: Graph Learning with LLMs
ACL 2025
HQ-CLIP: Leveraging Large Vision-Language Models to Create High-Quality Image-Text Datasets and CLIP Models
ICCV 2025
EditCLIP: Representation Learning for Image Editing
ICCV 2025
OmniPaint: Mastering Object-Oriented Editing via Disentangled Insertion-Removal Inpainting
ICCV 2025
MIRe: Enhancing Multimodal Queries Representation via Fusion-Free Modality Interaction for Multimodal Retrieval
ACL 2025
Boosting Vision Semantic Density with Anatomy Normality Modeling for Medical Vision-language Pre-training
ICCV 2025
Scaling Omni-modal Pretraining with Multimodal Context: Advancing Universal Representation Learning Across Modalities
ICCV 2025
Structural Deep Encoding for Table Question Answering
ACL 2025
<
1
…
10
11
12
…
99
>