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)
LaViP: Language-Grounded Visual Prompting
AAAI 2024
Layer-Adaptive State Pruning for Deep State Space Models
NeurIPS 2024
Layer Attack Unlearning: Fast and Accurate Machine Unlearning via Layer Level Attack and Knowledge Distillation
AAAI 2024
Layer Compression of Deep Networks with Straight Flows
AAAI 2024
LayerMerge: Neural Network Depth Compression through Layer Pruning and Merging
ICML 2024
LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding
ACL 2024
Layer-Wise Auto-Weighting for Non-Stationary Test-Time Adaptation
WACV 2024
Layer-wise linear mode connectivity
ICLR 2024
LayoutLLM: Large Language Model Instruction Tuning for Visually Rich Document Understanding
COLING 2024
LDB: An Efficient Latency Profiling Tool for Multithreaded Applications
NSDI 2024
LEAD: Learning Decomposition for Source-free Universal Domain Adaptation
CVPR 2024
LEAF: Predicting the Environmental Impact of Food Products based on their Name
ACL 2024
Leak and Learn: An Attacker's Cookbook to Train Using Leaked Data from Federated Learning
CVPR 2024
Leak, Cheat, Repeat: Data Contamination and Evaluation Malpractices in Closed-Source LLMs
EACL 2024
Lean Workbook: A large-scale Lean problem set formalized from natural language math problems
NeurIPS 2024
LeaPformer: Enabling Linear Transformers for Autoregressive and Simultaneous Tasks via Learned Proportions
ICML 2024
Learnable Cube-Based Video Encryption for Privacy-Preserving Action Recognition
WACV 2024
Learnable Privacy Neurons Localization in Language Models
ACL 2024
Learned Lossless Image Compression based on Bit Plane Slicing
CVPR 2024
Learned Neural Physics Simulation for Articulated 3D Human Pose Reconstruction
ECCV 2024
Learned Rate Control for Frame-Level Adaptive Neural Video Compression via Dynamic Neural Network
ECCV 2024
Learning Accurate and Bidirectional Transformation via Dynamic Embedding Transportation for Cross-Domain Recommendation
AAAI 2024
Learning Adaptive and View-Invariant Vision Transformer for Real-Time UAV Tracking
ICML 2024
Learning and deploying robust locomotion policies with minimal dynamics randomization
L4DC 2024
Learning-Augmented Approximation Algorithms for Maximum Cut and Related Problems
NeurIPS 2024