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Deep Learning
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Transfer Learning
2362 directly classified papers
Papers per year
2008: 1
2011: 1
2013: 6
2014: 4
2015: 11
2016: 21
2017: 48
2018: 83
2019: 184
2020: 296
2021: 309
2022: 356
2023: 320
2024: 366
2025: 348
2026: 8
Papers
RGAT at SemEval-2023 Task 2: Named Entity Recognition Using Graph Attention Network
SEMEVAL 2023
Continual Contrastive Finetuning Improves Low-Resource Relation Extraction
ACL 2023
Knowledge Transfer in Incremental Learning for Multilingual Neural Machine Translation
ACL 2023
Modality Adaption or Regularization? A Case Study on End-to-End Speech Translation
ACL 2023
Towards Leaving No Indic Language Behind: Building Monolingual Corpora, Benchmark and Models for Indic Languages
ACL 2023
Robust Graph Meta-Learning via Manifold Calibration with Proxy Subgraphs
AAAI 2023
Hints on the data for language modeling of synthetic languages with transformers
ACL 2023
Point-to-Region Co-learning for Poverty Mapping at High Resolution Using Satellite Imagery
AAAI 2023
A Graph Fusion Approach for Cross-Lingual Machine Reading Comprehension
AAAI 2023
PUnifiedNER: A Prompting-Based Unified NER System for Diverse Datasets
AAAI 2023
RESDSQL: Decoupling Schema Linking and Skeleton Parsing for Text-to-SQL
AAAI 2023
Neural Machine Translation Methods for Translating Text to Sign Language Glosses
ACL 2023
Script, Language, and Labels: Overcoming Three Discrepancies for Low-Resource Language Specialization
AAAI 2023
Learning to Imagine: Distillation-Based Interactive Context Exploitation for Dialogue State Tracking
AAAI 2023
Linear Classifier: An Often-Forgotten Baseline for Text Classification
ACL 2023
Denoising Pre-training for Machine Translation Quality Estimation with Curriculum Learning
AAAI 2023
Improving Simultaneous Machine Translation with Monolingual Data
AAAI 2023
Quantized Feature Distillation for Network Quantization
AAAI 2023
Transfer Learning Enhanced DeepONet for Long-Time Prediction of Evolution Equations
AAAI 2023
Non-IID Transfer Learning on Graphs
AAAI 2023
Post-hoc Uncertainty Learning Using a Dirichlet Meta-Model
AAAI 2023
mCLIP: Multilingual CLIP via Cross-lingual Transfer
ACL 2023
Self-Supervised Audio-Visual Representation Learning with Relaxed Cross-Modal Synchronicity
AAAI 2023
GLUECons: A Generic Benchmark for Learning under Constraints
AAAI 2023
Predictive Exit: Prediction of Fine-Grained Early Exits for Computation- and Energy-Efficient Inference
AAAI 2023
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