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
'10
'15
'20
'25
Papers (including subtopics)
Learning to Attack Federated Learning: A Model-based Reinforcement Learning Attack Framework
NeurIPS 2022
Learning to Automatically Generate Accurate ECG Captions
MIDL 2022
Learning To Collaborate in Decentralized Learning of Personalized Models
CVPR 2022
Learning to Configure Computer Networks with Neural Algorithmic Reasoning
NeurIPS 2022
Learning to Control Linear Systems can be Hard
COLT 2022
Learning to Deblur Using Light Field Generated and Real Defocus Images
CVPR 2022
Learning To Find Good Models in RANSAC
CVPR 2022
Learning to Generalize across Domains on Single Test Samples
ICLR 2022
Learning to Generalize to More: Continuous Semantic Augmentation for Neural Machine Translation
ACL 2022
Learning to Generate Examples for Semantic Processing Tasks
NAACL 2022
Learning to Generate Inversion-Resistant Model Explanations
NeurIPS 2022
Learning to Generate Overlap Summaries through Noisy Synthetic Data
EMNLP 2022
Learning to Generate Question by Asking Question: A Primal-Dual Approach with Uncommon Word Generation
EMNLP 2022
Learning To Generate the Unknowns as a Remedy to the Open-Set Domain Shift
WACV 2022
Learning To Learn Across Diverse Data Biases in Deep Face Recognition
CVPR 2022
Learning to rank with BERT-based confidence models in ASR rescoring
Interspeech 2022
Learning To Restore 3D Face From In-the-Wild Degraded Images
CVPR 2022
Learning to Revise References for Faithful Summarization
EMNLP 2022
Learning to Scaffold: Optimizing Model Explanations for Teaching
NeurIPS 2022
Learning to Solve Routing Problems via Distributionally Robust Optimization
AAAI 2022
Learning to Transfer with von Neumann Conditional Divergence
AAAI 2022
Learning to Weight Filter Groups for Robust Classification
WACV 2022
Learning to Win Lottery Tickets in BERT Transfer via Task-agnostic Mask Training
NAACL 2022
Learning Unforgotten Domain-Invariant Representations for Online Unsupervised Domain Adaptation
IJCAI 2022
Learning When and What to Quote: A Quotation Recommender System with Mutual Promotion of Recommendation and Generation
EMNLP 2022