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)
FedVS: Straggler-Resilient and Privacy-Preserving Vertical Federated Learning for Split Models
ICML 2023
Feed Two Birds with One Scone: Exploiting Wild Data for Both Out-of-Distribution Generalization and Detection
ICML 2023
FemtoDet: An Object Detection Baseline for Energy Versus Performance Tradeoffs
ICCV 2023
FEND: A Future Enhanced Distribution-Aware Contrastive Learning Framework for Long-Tail Trajectory Prediction
CVPR 2023
FerKD: Surgical Label Adaptation for Efficient Distillation
ICCV 2023
FETV: A Benchmark for Fine-Grained Evaluation of Open-Domain Text-to-Video Generation
NeurIPS 2023
Few-bit Backward: Quantized Gradients of Activation Functions for Memory Footprint Reduction
ICML 2023
Few-shot Adaptation for Manipulating Granular Materials Under Domain Shift
RSS 2023
Few-Shot Class-Incremental Learning via Class-Aware Bilateral Distillation
CVPR 2023
Few-shot Cross-domain Image Generation via Inference-time Latent-code Learning
ICLR 2023
Few-Shot Dataset Distillation via Translative Pre-Training
ICCV 2023
Few-Shot Defect Image Generation via Defect-Aware Feature Manipulation
AAAI 2023
Few-shot Dysarthric Speech Recognition with Text-to-Speech Data Augmentation
Interspeech 2023
Few-Shot Learning of Compact Models via Task-Specific Meta Distillation
WACV 2023
FFCV: Accelerating Training by Removing Data Bottlenecks
CVPR 2023
FFM: Injecting Out-of-Domain Knowledge via Factorized Frequency Modification
WACV 2023
FIANCEE: Faster Inference of Adversarial Networks via Conditional Early Exits
CVPR 2023
FiDO: Fusion-in-Decoder optimized for stronger performance and faster inference
ACL 2023
FIFA: Making Fairness More Generalizable in Classifiers Trained on Imbalanced Data
ICLR 2023
“Fifty Shades of Bias”: Normative Ratings of Gender Bias in GPT Generated English Text
EMNLP 2023
Fighting against Organized Fraudsters Using Risk Diffusion-based Parallel Graph Neural Network
IJCAI 2023
Fighting Bias With Bias: Promoting Model Robustness by Amplifying Dataset Biases
ACL 2023
Fighting Fire with Fire: Contrastive Debiasing without Bias-free Data via Generative Bias-transformation
ICML 2023
Filtering, Distillation, and Hard Negatives for Vision-Language Pre-Training
CVPR 2023
FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction
AAAI 2023