Application Areas
34,437 papers (4 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Domain Adaptation (9,897)
Efficient Computing (8,226)
Data Augmentation (3,648)
Fairness (3,574)
Knowledge Distillation (3,219)
Privacy (3,022)
Domain Generalization (1,972)
Model Compression (1,736)
Risk Management (1,119)
Model Merging (592)
Recommender Systems (343)
Information Retrieval (249)
Text Classification (144)
Text Processing (2)
Papers per year
1
3
5
5
4
19
24
28
26
35
42
55
142
116
147
330
517
1,020
1,828
2,498
3,411
3,854
5,063
6,422
7,176
1,666
2000
'5
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'25
Papers (including subtopics)
PANDAS@TamilNLP-ACL2022: Emotion Analysis in Tamil Text using Language Agnostic Embeddings
ACL 2022
Parallel Corpus Filtering for Japanese Text Simplification
EMNLP 2022
ParaMac: A General Unsupervised Paraphrase Generation Framework Leveraging Semantic Constraints and Diversifying Mechanisms
EMNLP 2022
Parameter-Efficient Abstractive Question Answering over Tables or Text
ACL 2022
Parameter-Efficient Conformers via Sharing Sparsely-Gated Experts for End-to-End Speech Recognition
Interspeech 2022
Parameter-efficient Continual Learning Framework in Industrial Real-time Text Classification System
NAACL 2022
Parameter-Efficient Legal Domain Adaptation
EMNLP 2022
Parameter-Efficient Masking Networks
NeurIPS 2022
Parameter-Efficient Mixture-of-Experts Architecture for Pre-trained Language Models
COLING 2022
Parameter-Efficient Neural Reranking for Cross-Lingual and Multilingual Retrieval
COLING 2022
Parameter-Efficient Sparsity for Large Language Models Fine-Tuning
IJCAI 2022
Parameter Efficient Transfer Learning for Suicide Attempt and Ideation Detection
EMNLP 2022
Parameter-free Dynamic Graph Embedding for Link Prediction
NeurIPS 2022
Parameters or Privacy: A Provable Tradeoff Between Overparameterization and Membership Inference
NeurIPS 2022
Parameter tuning and model selection in Optimal Transport with semi-dual Brenier formulation
NeurIPS 2022
Parametric Bootstrap for Differentially Private Confidence Intervals
AISTATS 2022
Parametrizable exercise generation from authentic texts: Effectively targeting the language means on the curriculum
NAACL 2022
ParaNames: A Massively Multilingual Entity Name Corpus
NAACL 2022
ParaTag: A Dataset of Paraphrase Tagging for Fine-Grained Labels, NLG Evaluation, and Data Augmentation
EMNLP 2022
ParaZh-22M: A Large-Scale Chinese Parabank via Machine Translation
COLING 2022
Parsing Electronic Theses and Dissertations Using Object Detection
AACL 2022
Partial disentanglement for domain adaptation
ICML 2022
Partially-Random Initialization: A Smoking Gun for Binarization Hypothesis of BERT
EMNLP 2022
Partial Wasserstein Covering
AAAI 2022
Participatory Machine Learning Models in Feminicide News Alert Detection
AAAI 2022