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)
TopDiG: Class-Agnostic Topological Directional Graph Extraction From Remote Sensing Images
CVPR 2023
Topic-Guided Sampling For Data-Efficient Multi-Domain Stance Detection
ACL 2023
Topic Ontologies for Arguments
EACL 2023
TOPLight: Lightweight Neural Networks With Task-Oriented Pretraining for Visible-Infrared Recognition
CVPR 2023
Topology-aware Robust Optimization for Out-of-Distribution Generalization
ICLR 2023
Topology-Guided Multi-Class Cell Context Generation for Digital Pathology
CVPR 2023
torchdistill Meets Hugging Face Libraries for Reproducible, Coding-Free Deep Learning Studies: A Case Study on NLP
EMNLP 2023
TOT:Topology-Aware Optimal Transport for Multimodal Hate Detection
AAAI 2023
Toward Accurate Post-Training Quantization for Image Super Resolution
CVPR 2023
Toward Cultural Bias Evaluation Datasets: The Case of Bengali Gender, Religious, and National Identity
EACL 2023
Toward Edge-Efficient Dense Predictions With Synergistic Multi-Task Neural Architecture Search
WACV 2023
Toward Fairness in Text Generation via Mutual Information Minimization based on Importance Sampling
AISTATS 2023
Toward Job Recommendation for All
IJCAI 2023
Toward More Accurate and Generalizable Evaluation Metrics for Task-Oriented Dialogs
ACL 2023
Toward Robust Diagnosis: A Contour Attention Preserving Adversarial Defense for COVID-19 Detection
AAAI 2023
Towards Adaptive Prefix Tuning for Parameter-Efficient Language Model Fine-tuning
ACL 2023
Towards Addressing Label Skews in One-Shot Federated Learning
ICLR 2023
Towards a Framework for Privacy-Preserving Pedestrian Analysis
WACV 2023
Towards Anytime Classification in Early-Exit Architectures by Enforcing Conditional Monotonicity
NeurIPS 2023
Towards a Smaller Student: Capacity Dynamic Distillation for Efficient Image Retrieval
CVPR 2023
Towards a Unified Analysis of Kernel-based Methods Under Covariate Shift
NeurIPS 2023
Towards a Unified Conversational Recommendation System: Multi-task Learning via Contextualized Knowledge Distillation
EMNLP 2023
Towards a Unified Multi-Domain Multilingual Named Entity Recognition Model
EACL 2023
Towards A Unified View of Sparse Feed-Forward Network in Pretraining Large Language Model
EMNLP 2023
Towards automatically extracting morphosyntactical error patterns from L1-L2 parallel dependency treebanks
ACL 2023