Pretraining
2,736 papers
Papers per year
1
2
1
1
1
4
5
19
26
34
111
209
262
333
490
570
502
165
'10
'15
'20
'25
Papers
Dep-MAP: A Multi-level Alignment Framework with Semantic Prototypes for Video-based Automatic Depression Assessment
AAAI 2026
Diff-V2M: A Hierarchical Conditional Diffusion Model with Explicit Rhythmic Modeling for Video-to-Music Generation
AAAI 2026
DINOv3-Powered Multi-Task Foundation Model for Quantitative Remote Sensing Estimation (Student Abstract)
AAAI 2026
DisCo DETR: Distance-aware Multi-view Contrastive Learning for DETR Pre-training
AAAI 2026
DLWM: Dual Latent World Models enable Holistic Gaussian-centric Pre-training in Autonomous Driving
CVPR 2026
DocPolarBERT: A Pre-trained Model for Document Understanding with Relative Polar Coordinate Encoding of Layout Structures
EACL 2026
Dormant Backdoor: Weaponizing Model Finetuning for Feasible Backdoor Attacks Against Pretrained Models
AAAI 2026
DOS: Directional Object Separation in Text Embeddings for Multi-Object Image Generation
AAAI 2026
Dressing the Imagination: A Dataset for AI-Powered Translation of Text into Fashion Outfits and A Novel NeRA Adapter for Enhanced Feature Adaptation
WACV 2026
Dropout Prompt Learning: Towards Robust and Adaptive Vision-Language Models
AAAI 2026
DWTSG: Parameter-Efficient Fine-Tuning of Large Pre-trained Models via Discrete Wavelet Transform and Subband Guidance
AAAI 2026
EEG-DLite: Dataset Distillation for Efficient Large EEG Model Training
AAAI 2026
EPO: Diverse and Realistic Protein Ensemble Generation via Energy Preference Optimization
AAAI 2026
E-RayZer: Self-supervised 3D Reconstruction as Spatial Visual Pre-training
CVPR 2026
Escaping Optimization Stagnation: Taking Steps Beyond Task Arithmetic via Difference Vectors
AAAI 2026
Exploring High-order-aware Prompt Learning for Zero-shot Anomaly Detection
AAAI 2026
Exploring Visual Pretraining for Learning Language Intelligence
CVPR 2026
Feature Drift: How Fine-Tuning Repurposes Representations in LLMs
EACL 2026
FedReFT: Federated Representation Fine-Tuning with All-But-Me Aggregation
EACL 2026
FGNet: Leveraging Feature-Guided Attention to Refine SAM2 for 3D EM Neuron Segmentation
AAAI 2026
FilmWeaver: Weaving Consistent Multi-Shot Videos with Cache-Guided Autoregressive Diffusion
AAAI 2026
FINE: Factorizing Knowledge for Initialization of Variable-sized Diffusion Models
CVPR 2026
Fine-Grained DINO Tuning with Dual Supervision for Face Forgery Detection
AAAI 2026
FlowAnyTime: Efficient Fine-tuning with Intra-Inter Frame Distillation for All-Weather Optical Flow Estimation
AAAI 2026
FRoD: Full-Rank Efficient Fine-Tuning with Rotational Degrees for Fast Convergence
AAAI 2026