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)
NanoAdapt: Mitigating Negative Transfer in Test Time Adaptation with Extremely Small Batch Sizes
IJCAI 2024
NAPGuard: Towards Detecting Naturalistic Adversarial Patches
CVPR 2024
Narrative Navigators at FIGNEWS 2024 Shared Task: New Frontiers in Bias and Propaganda Annotation Techniques
ACL 2024
Narratives at Conflict: Computational Analysis of News Framing in Multilingual Disinformation Campaigns
ACL 2024
NaturalBench: Evaluating Vision-Language Models on Natural Adversarial Samples
NeurIPS 2024
Natural Language Can Help Bridge the Sim2Real Gap
RSS 2024
Navigating Beyond Dropout: An Intriguing Solution towards Generalizable Image Super Resolution
CVPR 2024
Navigating Chemical Space with Latent Flows
NeurIPS 2024
Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching
ICML 2024
Navigating Continual Test-time Adaptation with Symbiosis Knowledge
IJCAI 2024
Navigating Text-To-Image Customization: From LyCORIS Fine-Tuning to Model Evaluation
ICLR 2024
Navigating Text-to-Image Generative Bias across Indic Languages
ECCV 2024
NAYER: Noisy Layer Data Generation for Efficient and Effective Data-free Knowledge Distillation
CVPR 2024
NB-GTR: Narrow-Band Guided Turbulence Removal
CVPR 2024
NC-TTT: A Noise Constrastive Approach for Test-Time Training
CVPR 2024
NDOT: Neuronal Dynamics-based Online Training for Spiking Neural Networks
ICML 2024
Nearest is Not Dearest: Towards Practical Defense against Quantization-conditioned Backdoor Attacks
CVPR 2024
Nearest Neighbor Sampling for Covariate Shift Adaptation
JMLR 2024
Nearly Tight Black-Box Auditing of Differentially Private Machine Learning
NeurIPS 2024
Near-Optimal Solutions of Constrained Learning Problems
ICLR 2024
Neeko: Leveraging Dynamic LoRA for Efficient Multi-Character Role-Playing Agent
EMNLP 2024
NEFTune: Noisy Embeddings Improve Instruction Finetuning
ICLR 2024
Negation Scope Conversion: Towards a Unified Negation-Annotated Dataset
COLING 2024
Negative Label Guided OOD Detection with Pretrained Vision-Language Models
ICLR 2024
NegVSR: Augmenting Negatives for Generalized Noise Modeling in Real-world Video Super-Resolution
AAAI 2024