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)
Non-Line-of-Sight Imaging With Signal Superresolution Network
CVPR 2023
Nonparametric Extensions of Randomized Response for Private Confidence Sets
ICML 2023
Non-parametric Outlier Synthesis
ICLR 2023
Non-stationary Risk-Sensitive Reinforcement Learning: Near-Optimal Dynamic Regret, Adaptive Detection, and Separation Design
AAAI 2023
No One Left Behind: Improving the Worst Categories in Long-Tailed Learning
CVPR 2023
No Provisioned Concurrency: Fast RDMA-codesigned Remote Fork for Serverless Computing
OSDI 2023
No Reason for No Supervision: Improved Generalization in Supervised Models
ICLR 2023
No-regret Algorithms for Fair Resource Allocation
NeurIPS 2023
NoreSpeech: Knowledge Distillation based Conditional Diffusion Model for Noise-robust Expressive TTS
Interspeech 2023
Norma: Towards Practical Network Load Testing
NSDI 2023
NORM: Knowledge Distillation via N-to-One Representation Matching
ICLR 2023
Not All Counterhate Tweets Elicit the Same Replies: A Fine-Grained Analysis
ACL 2023
Not All Features Matter: Enhancing Few-shot CLIP with Adaptive Prior Refinement
ICCV 2023
Not All Neighbors Matter: Point Distribution-Aware Pruning for 3D Point Cloud
AAAI 2023
“Nothing Abnormal”: Disambiguating Medical Reports via Contrastive Knowledge Infusion
AAAI 2023
Nothing but Regrets — Privacy-Preserving Federated Causal Discovery
AISTATS 2023
No Train No Gain: Revisiting Efficient Training Algorithms For Transformer-based Language Models
NeurIPS 2023
NovaCOMET: Open Commonsense Foundation Models with Symbolic Knowledge Distillation
EMNLP 2023
Novel Scenes & Classes: Towards Adaptive Open-set Object Detection
ICCV 2023
NTK-approximating MLP Fusion for Efficient Language Model Fine-tuning
ICML 2023
NTK-SAP: Improving neural network pruning by aligning training dynamics
ICLR 2023
NUNO: A General Framework for Learning Parametric PDEs with Non-Uniform Data
ICML 2023
NusaCrowd: Open Source Initiative for Indonesian NLP Resources
ACL 2023
NutriAI: AI-Powered Child Malnutrition Assessment in Low-Resource Environments
IJCAI 2023
OBELICS: An Open Web-Scale Filtered Dataset of Interleaved Image-Text Documents
NeurIPS 2023