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)
Device-Directed Speech Detection: Regularization via Distillation for Weakly-Supervised Models
Interspeech 2022
“Devils Are in the Details”: Annotating Specificity of Clinical Advice from Medical Literature
NAACL 2022
D-GCCA: Decomposition-based Generalized Canonical Correlation Analysis for Multi-view High-dimensional Data
JMLR 2022
Diagnosing failures of fairness transfer across distribution shift in real-world medical settings
NeurIPS 2022
DialMed: A Dataset for Dialogue-based Medication Recommendation
COLING 2022
DialogueGAT: A Graph Attention Network for Financial Risk Prediction by Modeling the Dialogues in Earnings Conference Calls
EMNLP 2022
DiBiMT: A Novel Benchmark for Measuring Word Sense Disambiguation Biases in Machine Translation
ACL 2022
Differentiable Scaffolding Tree for Molecule Optimization
ICLR 2022
Differentially Private Approximate Quantiles
ICML 2022
Differentially Private Community Detection for Stochastic Block Models
ICML 2022
Differentially Private Coordinate Descent for Composite Empirical Risk Minimization
ICML 2022
Differentially Private Covariance Revisited
NeurIPS 2022
Differentially Private Densest Subgraph
AISTATS 2022
Differentially Private Estimation of Heterogeneous Causal Effects
CLeaR 2022
Differentially Private Federated Learning on Heterogeneous Data
AISTATS 2022
Differentially Private Federated Learning With Local Regularization and Sparsification
CVPR 2022
Differentially Private Generalized Linear Models Revisited
NeurIPS 2022
Differentially Private Graph Learning via Sensitivity-Bounded Personalized PageRank
NeurIPS 2022
Differentially Private Histograms under Continual Observation: Streaming Selection into the Unknown
AISTATS 2022
Differentially Private Language Models for Secure Data Sharing
EMNLP 2022
Differentially Private Learning Needs Hidden State (Or Much Faster Convergence)
NeurIPS 2022
Differentially Private Learning with Margin Guarantees
NeurIPS 2022
Differentially Private Linear Sketches: Efficient Implementations and Applications
NeurIPS 2022
Differentially Private Maximal Information Coefficients
ICML 2022
Differentially Private Model Compression
NeurIPS 2022