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)
Incremental Multi-Domain Learning with Network Latent Tensor Factorization
AAAI 2020
In Data We Trust: A Critical Analysis of Hate Speech Detection Datasets
EMNLP 2020
Indirect Stochastic Gradient Quantization and Its Application in Distributed Deep Learning
AAAI 2020
Individual Calibration with Randomized Forecasting
ICML 2020
Individual Fairness for k-Clustering
ICML 2020
Individual Fairness Revisited: Transferring Techniques from Adversarial Robustness
IJCAI 2020
Inducing and Exploiting Activation Sparsity for Fast Inference on Deep Neural Networks
ICML 2020
Inducing Relational Knowledge from BERT
AAAI 2020
Inductive Link Prediction for Nodes Having Only Attribute Information
IJCAI 2020
Inexpensive Domain Adaptation of Pretrained Language Models: Case Studies on Biomedical NER and Covid-19 QA
EMNLP 2020
Inferring Continuous Treatment Doses from Historical Data via Model-Based Entropy-Regularized Reinforcement Learning
ACML 2020
Inferring Nighttime Satellite Imagery from Human Mobility
AAAI 2020
Inflating Topic Relevance with Ideology: A Case Study of Political Ideology Bias in Social Topic Detection Models
COLING 2020
InfoForager: Leveraging Semantic Search with AMR for COVID-19 Research
COLING 2020
Information-Theoretic Understanding of Population Risk Improvement with Model Compression
AAAI 2020
Informative Dropout for Robust Representation Learning: A Shape-bias Perspective
ICML 2020
iNLTK: Natural Language Toolkit for Indic Languages
EMNLP 2020
Input Complexity and Out-of-distribution Detection with Likelihood-based Generative Models
ICLR 2020
In Search for a SAT-friendly Binarized Neural Network Architecture
ICLR 2020
Inspection of Blackbox Models for Evaluating Vulnerability in Maternal, Newborn, and Child Health
IJCAI 2020
InstaHide: Instance-hiding Schemes for Private Distributed Learning
ICML 2020
InstaNAS: Instance-Aware Neural Architecture Search
AAAI 2020
Instance-based Generalization in Reinforcement Learning
NeurIPS 2020
Instance-optimality in differential privacy via approximate inverse sensitivity mechanisms
NeurIPS 2020
Instance Selection for GANs
NeurIPS 2020