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)
Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations
ICLR 2023
Latent Feature-based Data Splits to Improve Generalisation Evaluation: A Hate Speech Detection Case Study
EMNLP 2023
Latent-OFER: Detect, Mask, and Reconstruct with Latent Vectors for Occluded Facial Expression Recognition
ICCV 2023
Lattice Path Edit Distance: A Romanization-aware Edit Distance for Extracting Misspelling-Correction Pairs from Japanese Search Query Logs
EMNLP 2023
Laughing Hyena Distillery: Extracting Compact Recurrences From Convolutions
NeurIPS 2023
LAVA: Label-Efficient Visual Learning and Adaptation
WACV 2023
LAVENDER: Unifying Video-Language Understanding As Masked Language Modeling
CVPR 2023
LAVIS: A One-stop Library for Language-Vision Intelligence
ACL 2023
Layered Bias: Interpreting Bias in Pretrained Large Language Models
EMNLP 2023
Layer-Wise Adaptive Model Aggregation for Scalable Federated Learning
AAAI 2023
Lazybob at SemEval-2023 Task 9: Quantifying Intimacy of Multilingual Tweets with Multi-Task Learning
SemEval 2023
LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation
ICML 2023
LCS: Learning Compressible Subspaces for Efficient, Adaptive, Real-Time Network Compression at Inference Time
WACV 2023
LDMIC: Learning-based Distributed Multi-view Image Coding
ICLR 2023
LDP-Feat: Image Features with Local Differential Privacy
ICCV 2023
LEACE: Perfect linear concept erasure in closed form
NeurIPS 2023
LeadFL: Client Self-Defense against Model Poisoning in Federated Learning
ICML 2023
LEALLA: Learning Lightweight Language-agnostic Sentence Embeddings with Knowledge Distillation
EACL 2023
Leap-of-Thought: Accelerating Transformers via Dynamic Token Routing
EMNLP 2023
Learn and Sample Together: Collaborative Generation for Graphic Design Layout
IJCAI 2023
Learned Adapters Are Better Than Manually Designed Adapters
ACL 2023
Learned Distributed Image Compression with Multi-Scale Patch Matching in Feature Domain
AAAI 2023
Learned Image Compression With Mixed Transformer-CNN Architectures
CVPR 2023
Learned Two-Plane Perspective Prior Based Image Resampling for Efficient Object Detection
CVPR 2023
Learn From One Specialized Sub-Teacher: One-to-One Mapping for Feature-Based Knowledge Distillation
EMNLP 2023