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)
Detecting and Reducing Bias in a High Stakes Domain
EMNLP 2019
Detecting dementia in Mandarin Chinese using transfer learning from a parallel corpus
NAACL 2019
Detecting harassment in real-time as conversations develop
ACL 2019
Detection of Abusive Language: the Problem of Biased Datasets
NAACL 2019
Detection of Adverse Drug Reaction Mentions in Tweets Using ELMo
ACL 2019
Detection of Propaganda Using Logistic Regression
EMNLP 2019
Deterministic Routing between Layout Abstractions for Multi-Scale Classification of Visually Rich Documents
IJCAI 2019
DETOX: A Redundancy-based Framework for Faster and More Robust Gradient Aggregation
NeurIPS 2019
Developing and Orchestrating a Portfolio of Natural Legal Language Processing and Document Curation Services
NAACL 2019
Development and Deployment of a Large-Scale Dialog-based Intelligent Tutoring System
NAACL 2019
Development of Robust Automated Scoring Models Using Adversarial Input for Oral Proficiency Assessment
Interspeech 2019
DFANet: Deep Feature Aggregation for Real-Time Semantic Segmentation
CVPR 2019
Diagnosing Dysarthria with Long Short-Term Memory Networks
Interspeech 2019
DiffChaser: Detecting Disagreements for Deep Neural Networks
IJCAI 2019
Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks
ICCV 2019
Differentially Private Algorithms for Learning Mixtures of Separated Gaussians
NeurIPS 2019
Differentially Private Anonymized Histograms
NeurIPS 2019
Differentially Private Bagging: Improved utility and cheaper privacy than subsample-and-aggregate
NeurIPS 2019
Differentially Private Bayesian Linear Regression
NeurIPS 2019
Differentially Private Community Detection in Attributed Social Networks
ACML 2019
Differentially Private Covariance Estimation
NeurIPS 2019
Differentially Private Distributed Data Summarization under Covariate Shift
NeurIPS 2019
Differentially Private Empirical Risk Minimization with Non-convex Loss Functions
ICML 2019
Differentially Private Empirical Risk Minimization with Smooth Non-Convex Loss Functions: A Non-Stationary View
AAAI 2019
Differentially Private Fair Learning
ICML 2019