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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'15
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'25
Papers (including subtopics)
FATNN: Fast and Accurate Ternary Neural Networks
ICCV 2021
fBERT: A Neural Transformer for Identifying Offensive Content
EMNLP 2021
FBNetV3: Joint Architecture-Recipe Search Using Predictor Pretraining
CVPR 2021
f-Domain Adversarial Learning: Theory and Algorithms
ICML 2021
Fearless Steps Challenge Phase-3 (FSC P3): Advancing SLT for Unseen Channel and Mission Data Across NASA Apollo Audio
Interspeech 2021
Feature Clustering for Support Identification in Extreme Regions
ICML 2021
Feature Importance-Aware Transferable Adversarial Attacks
ICCV 2021
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization
ICLR 2021
FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space
CVPR 2021
Federated Continual Learning with Weighted Inter-client Transfer
ICML 2021
Federated f-Differential Privacy
AISTATS 2021
Federated Graph Classification over Non-IID Graphs
NeurIPS 2021
Federated Hyperparameter Tuning: Challenges, Baselines, and Connections to Weight-Sharing
NeurIPS 2021
Federated Learning of User Verification Models Without Sharing Embeddings
ICML 2021
Federated Learning with Compression: Unified Analysis and Sharp Guarantees
AISTATS 2021
Federated Learning with Fair Averaging
IJCAI 2021
Federated Learning with Sparsification-Amplified Privacy and Adaptive Optimization
IJCAI 2021
Federated Model Distillation with Noise-Free Differential Privacy
IJCAI 2021
FedMix: Approximation of Mixup under Mean Augmented Federated Learning
ICLR 2021
FedRec++: Lossless Federated Recommendation with Explicit Feedback
AAAI 2021
Few-Shot Class-Incremental Learning via Relation Knowledge Distillation
AAAI 2021
Few-shot learning through contextual data augmentation
EACL 2021
Few-Shot Learning with Part Discovery and Augmentation from Unlabeled Images
IJCAI 2021
Few-Shot Text Classification with Triplet Networks, Data Augmentation, and Curriculum Learning
NAACL 2021
Few-Shot Text Ranking with Meta Adapted Synthetic Weak Supervision
ACL 2021