conftrace_

pre-trained model

412 papers

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Also known as

PTM

Co-occurring keywords

transfer learning (5449) text classification (6793) pre-trained language model (1515) domain adaptation (4595) language model (4599) multimodal learning (4645) representation learning (6206) continual learning (1181) machine translation (2499) pretrained model (292)

Papers

DocPolarBERT: A Pre-trained Model for Document Understanding with Relative Polar Coordinate Encoding of Layout Structures EACL 2026
High-Rate Mixout: Revisiting Mixout for Robust Domain Generalization WACV 2026
Spatiotemporal Transformers with Multiple Instance Learning for Label-Efficient Behavioral Analysis in Autism (Student Abstract) AAAI 2026
Escaping Optimization Stagnation: Taking Steps Beyond Task Arithmetic via Difference Vectors AAAI 2026
Unveiling the Deficiencies of Pre-trained Text-and-Layout Models in Real-world Visually-rich Document Information Extraction EACL 2026
Symphony-MoE: Harmonizing Disparate Pre-trained Models into a Coherent Mixture-of-Experts AAAI 2026
Adapt Before Continual Learning AAAI 2026
Sparse Tuning Enhances Plasticity in PTM-based Continual Learning AAAI 2026
AFL: A Single-Round Analytic Approach for Federated Learning with Pre-trained Models CVPR 2025
Feature Space Perturbation: A Panacea to Enhanced Transferability Estimation WACV 2025
LIA and ELYADATA systems for the IWSLT 2025 low-resource speech translation shared task ACL 2025
Leveraging Language Models for Summarizing Mental State Examinations: A Comprehensive Evaluation and Dataset Release COLING 2025
Eureka-CIOL@DravidianLangTech 2025: Using Customized BERTs for Sentiment Analysis of Tamil Political Comments NAACL 2025
NILE: Internal Consistency Alignment in Large Language Models EMNLP 2025
NLPopsCIOL@DravidianLangTech 2025: Classification of Abusive Tamil and Malayalam Text Targeting Women Using Pre-trained Models NAACL 2025
PEARL: Input-Agnostic Prompt Enhancement with Negative Feedback Regulation for Class-Incremental Learning AAAI 2025
Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning CVPR 2025
Query Efficient Black-Box Visual Prompting with Subspace Learning CVPR 2025
Compress to One Point: Neural Collapse for Pre-Trained Model-Based Class-Incremental Learning AAAI 2025
Can LLMs Deceive CLIP? Benchmarking Adversarial Compositionality of Pre-trained Multimodal Representation via Text Updates ACL 2025
MOS: Model Surgery for Pre-Trained Model-Based Class-Incremental Learning AAAI 2025
Knowledge-driven Scientific Large Language Models AAAI 2025
Capture Global Feature Statistics for One-Shot Federated Learning AAAI 2025
Temporal Dynamics in Visual Data: Analyzing the Impact of Time on Classification Accuracy WACV 2025
Assessing Pre-Trained Models for Transfer Learning Through Distribution of Spectral Components AAAI 2025