pre-trained model

Adapt Before Continual Learning AAAI 2026 CodeHunters at SemEval-2026 Task 13: Detecting Machine-Generated Code with Multiple Programming Languages, Generators, and Application Scenarios SemEval 2026 DocPolarBERT: A Pre-trained Model for Document Understanding with Relative Polar Coordinate Encoding of Layout Structures EACL 2026 Escaping Optimization Stagnation: Taking Steps Beyond Task Arithmetic via Difference Vectors AAAI 2026 Evaluating the Role of Great Pre-trained Diffusion Models in Few-shot Phase: Warm-up and Acceleration UAI 2026 High-Rate Mixout: Revisiting Mixout for Robust Domain Generalization WACV 2026 Learning Adaptive and Expandable Mixture Model for Continual Learning AAAI 2026 OpenT2M: No-frill Motion Generation with Open-source, Large-scale, High-quality Data CVPR 2026 PANDA – Patch and Distribution-Aware Augmentation for Long-Tailed Exemplar-Free Continual Learning AAAI 2026 Quantum-Gated Task-interaction Knowledge Distillation for Pre-trained Model-based Class-Incremental Learning CVPR 2026 Representation-Steered Incremental Adapter-Tuning for Class-Incremental Learning with Pre-Trained Models CVPR 2026 Sparse Tuning Enhances Plasticity in PTM-based Continual Learning AAAI 2026 Spatiotemporal Transformers with Multiple Instance Learning for Label-Efficient Behavioral Analysis in Autism (Student Abstract) AAAI 2026 Stabilizing Feature Geometry in Noisy Pretrained Models for Robust Downstream Tasks CVPR 2026 Symphony-MoE: Harmonizing Disparate Pre-trained Models into a Coherent Mixture-of-Experts AAAI 2026 Unveiling the Deficiencies of Pre-trained Text-and-Layout Models in Real-world Visually-rich Document Information Extraction EACL 2026 When Do Models Actually Decide? Mapping the Layer-Wise Decision Timeline in Pretrained Neural Networks CVPR 2026 ZYC at SemEval-2026 Task 5: Application of BERT-based Contextual Embeddings Similarity for WSD SemEval 2026 AFL: A Single-Round Analytic Approach for Federated Learning with Pre-trained Models CVPR 2025 ANVITA : A Multi-pronged Approach for Enhancing Machine Translation of Extremely Low-Resource Indian Languages EMNLP 2025 Assessing Pre-Trained Models for Transfer Learning Through Distribution of Spectral Components AAAI 2025 Attention Is Not Always the Answer: Optimizing Voice Activity Detection with Simple Feature Fusion Interspeech 2025 A Unifying Perspective on Model Reuse: From Small to Large Pre-Trained Models IJCAI 2025 AutoML Meets Hugging Face: Domain-Aware Pretrained Model Selection for Text Classification NAACL 2025 Beyond Zero Initialization: Investigating the Impact of Non-Zero Initialization on LoRA Fine-Tuning Dynamics ICML 2025