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)
LOTUS: Evasive and Resilient Backdoor Attacks through Sub-Partitioning
CVPR 2024
Low Bitrate High-Quality RVQGAN-based Discrete Speech Tokenizer
Interspeech 2024
Low Category Uncertainty and High Training Potential Instance Learning for Unsupervised Domain Adaptation
AAAI 2024
Low-Complexity Acoustic Scene Classification Using Parallel Attention-Convolution Network
Interspeech 2024
Low-Cost High-Power Membership Inference Attacks
ICML 2024
Lower Bounds for Differential Privacy Under Continual Observation and Online Threshold Queries
COLT 2024
Low-Latency Neural Stereo Streaming
CVPR 2024
Low-Latency Space-Time Supersampling for Real-Time Rendering
AAAI 2024
Low Precision Local Training is Enough for Federated Learning
NeurIPS 2024
Low-Rank Adaptation for Multilingual Summarization: An Empirical Study
NAACL 2024
Low-Rank Knowledge Decomposition for Medical Foundation Models
CVPR 2024
Low-Rank Rescaled Vision Transformer Fine-Tuning: A Residual Design Approach
CVPR 2024
Low-Res Leads the Way: Improving Generalization for Super-Resolution by Self-Supervised Learning
CVPR 2024
Low-resource neural machine translation with morphological modeling
NAACL 2024
Low-Resource Vision Challenges for Foundation Models
CVPR 2024
LP-OVOD: Open-Vocabulary Object Detection by Linear Probing
WACV 2024
LQER: Low-Rank Quantization Error Reconstruction for LLMs
ICML 2024
LQ-LoRA: Low-rank plus Quantized Matrix Decomposition for Efficient Language Model Finetuning
ICLR 2024
LRANet: Towards Accurate and Efficient Scene Text Detection with Low-Rank Approximation Network
AAAI 2024
LRQuant: Learnable and Robust Post-Training Quantization for Large Language Models
ACL 2024
LR-XFL: Logical Reasoning-Based Explainable Federated Learning
AAAI 2024
LSH-MoE: Communication-efficient MoE Training via Locality-Sensitive Hashing
NeurIPS 2024
LSK3DNet: Towards Effective and Efficient 3D Perception with Large Sparse Kernels
CVPR 2024
LSPAN: Spectrally Localized Augmentation for Graph Consistency Learning
IJCAI 2024
LTM: Lightweight Textured Mesh Extraction and Refinement of Large Unbounded Scenes for Efficient Storage and Real-time Rendering
CVPR 2024