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)
Code Completion by Modeling Flattened Abstract Syntax Trees as Graphs
AAAI 2021
Coded-InvNet for Resilient Prediction Serving Systems
ICML 2021
Coded Speech Enhancement Using Neural Network-Based Vector-Quantized Residual Features
Interspeech 2021
CodemixedNLP: An Extensible and Open NLP Toolkit for Code-Mixing
NAACL 2021
CoDERT: Distilling Encoder Representations with Co-Learning for Transducer-Based Speech Recognition
Interspeech 2021
CODEs: Chamfer Out-of-Distribution Examples Against Overconfidence Issue
ICCV 2021
Co-Design of Communication and Machine Inference for Cloud Robotics
RSS 2021
Code to Comment Translation: A Comparative Study on Model Effectiveness & Errors
ACL 2021
CogTree: Cognition Tree Loss for Unbiased Scene Graph Generation
IJCAI 2021
Collaborative Bayesian Optimization with Fair Regret
ICML 2021
Collaborative Group Learning
AAAI 2021
Collaborative Learning of Bidirectional Decoders for Unsupervised Text Style Transfer
EMNLP 2021
Collaborative Learning With Disentangled Features for Zero-Shot Domain Adaptation
ICCV 2021
Collaborative Optimization and Aggregation for Decentralized Domain Generalization and Adaptation
ICCV 2021
ColorRL: Reinforced Coloring for End-to-End Instance Segmentation
CVPR 2021
Combiner: Full Attention Transformer with Sparse Computation Cost
NeurIPS 2021
Combining Curriculum Learning and Knowledge Distillation for Dialogue Generation
EMNLP 2021
Combining Ensembles and Data Augmentation Can Harm Your Calibration
ICLR 2021
Combining Fairness and Optimality when Selecting and Allocating Projects
IJCAI 2021
Combining Hybrid and End-to-End Approaches for the OpenASR20 Challenge
Interspeech 2021
Combining Lexical and Dense Retrieval for Computationally Efficient Multi-hop Question Answering
EMNLP 2021
Combining Machine Learning and Human Experts to Predict Match Outcomes in Football: A Baseline Model
AAAI 2021
Combining Machine Learning & Reasoning for Biodiversity Data Intelligence
AAAI 2021
Combining Open Domain Question Answering with a Task-Oriented Dialog System
ACL 2021
Combining Physics and Machine Learning for Network Flow Estimation
ICLR 2021