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Methodology
← Learning Types
Machine Learning
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Transfer Learning
3884 directly classified papers
Papers per year
2002: 1
2003: 1
2006: 3
2007: 2
2008: 3
2009: 3
2010: 4
2011: 7
2012: 5
2013: 28
2014: 14
2015: 14
2016: 50
2017: 119
2018: 136
2019: 254
2020: 371
2021: 481
2022: 497
2023: 584
2024: 538
2025: 735
2026: 34
Papers
MUCS@LT-EDI-2024: Learning Approaches to Empower Homophobic/Transphobic Comment Identification
EACL 2024
Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models
NIPS 2024
IIMAS at SemEval-2024 Task 9: A Comparative Approach for Brainteaser Solutions
NAACL 2024
CARE: a Benchmark Suite for the Classification and Retrieval of Enzymes
NIPS 2024
Initializing Variable-sized Vision Transformers from Learngene with Learnable Transformation
NIPS 2024
Modular Adaptation of Multilingual Encoders to Written Swiss German Dialect
EACL 2024
3-in-1: 2D Rotary Adaptation for Efficient Finetuning, Efficient Batching and Composability
NIPS 2024
Why are Visually-Grounded Language Models Bad at Image Classification?
NIPS 2024
Fine-Tuning Pre-Trained Language Models with Gaze Supervision
ACL 2024
LANDeRMT: Dectecting and Routing Language-Aware Neurons for Selectively Finetuning LLMs to Machine Translation
ACL 2024
Robust AI-Generated Text Detection by Restricted Embeddings
EMNLP 2024
When do Generative Query and Document Expansions Fail? A Comprehensive Study Across Methods, Retrievers, and Datasets
EACL 2024
Robust Learning via Conditional Prevalence Adjustment
WACV 2024
Dive into the Chasm: Probing the Gap between In- and Cross-Topic Generalization
EACL 2024
MACP: Efficient Model Adaptation for Cooperative Perception
WACV 2024
Letting 3D Guide the Way: 3D Guided 2D Few-Shot Image Classification
WACV 2024
Lidoma@DravidianLangTech 2024: Identifying Hate Speech in Telugu Code-Mixed: A BERT Multilingual
EACL 2024
Table Question Answering for Low-resourced Indic Languages
EMNLP 2024
D3GU: Multi-Target Active Domain Adaptation via Enhancing Domain Alignment
WACV 2024
DR10K: Transfer Learning Using Weak Labels for Grading Diabetic Retinopathy on DR10K Dataset
WACV 2024
Universal Semi-Supervised Model Adaptation via Collaborative Consistency Training
WACV 2024
CUETSentimentSillies@DravidianLangTech-EACL2024: Transformer-based Approach for Sentiment Analysis in Tamil and Tulu Code-Mixed Texts
EACL 2024
REALM: Robust Entropy Adaptive Loss Minimization for Improved Single-Sample Test-Time Adaptation
WACV 2024
HalluciDet: Hallucinating RGB Modality for Person Detection Through Privileged Information
WACV 2024
MoP-CLIP: A Mixture of Prompt-Tuned CLIP Models for Domain Incremental Learning
WACV 2024
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