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)
Making Existing Clusterings Fairer: Algorithms, Complexity Results and Insights
AAAI 2020
Making Monolingual Sentence Embeddings Multilingual using Knowledge Distillation
EMNLP 2020
Mama/Papa, Is this Text for Me?
COLING 2020
Mapillary Street-Level Sequences: A Dataset for Lifelong Place Recognition
CVPR 2020
Margin-aware Adversarial Domain Adaptation with Optimal Transport
ICML 2020
Margin-aware Unsupervised Domain Adaptation for Cross-lingual Text Labeling
EMNLP 2020
Market Manipulation: An Adversarial Learning Framework for Detection and Evasion
IJCAI 2020
Masking Actor Information Leads to Fairer Political Claims Detection
ACL 2020
Masking as an Efficient Alternative to Finetuning for Pretrained Language Models
EMNLP 2020
Massively Multilingual ASR: 50 Languages, 1 Model, 1 Billion Parameters
Interspeech 2020
MatchboxNet: 1D Time-Channel Separable Convolutional Neural Network Architecture for Speech Commands Recognition
Interspeech 2020
Maximizing Overall Diversity for Improved Uncertainty Estimates in Deep Ensembles
AAAI 2020
Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness
NeurIPS 2020
Maximum Likelihood with Bias-Corrected Calibration is Hard-To-Beat at Label Shift Adaptation
ICML 2020
MCUNet: Tiny Deep Learning on IoT Devices
NeurIPS 2020
Measuring Forecasting Skill from Text
ACL 2020
Measuring Non-Expert Comprehension of Machine Learning Fairness Metrics
ICML 2020
Measuring Robustness to Natural Distribution Shifts in Image Classification
NeurIPS 2020
Measuring the Effects of Bias in Training Data for Literary Classification
COLING 2020
MemNAS: Memory-Efficient Neural Architecture Search With Grow-Trim Learning
CVPR 2020
Memory Augmented Graph Neural Networks for Sequential Recommendation
AAAI 2020
Memory Augmented Neural Model for Incremental Session-based Recommendation
IJCAI 2020
Mesh-Guided Multi-View Stereo With Pyramid Architecture
CVPR 2020
Metadata-Aware End-to-End Keyword Spotting
Interspeech 2020
Meta Dropout: Learning to Perturb Latent Features for Generalization
ICLR 2020