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)
JCLAL: A Java Framework for Active Learning
JMLR 2016
Joint Learning of Local and Global Features for Entity Linking via Neural Networks
COLING 2016
Kraken: Leveraging Live Traffic Tests to Identify and Resolve Resource Utilization Bottlenecks in Large Scale Web Services
OSDI 2016
Labeled Data Generation with Encoder-Decoder LSTM for Semantic Slot Filling
Interspeech 2016
Language Adaptive DNNs for Improved Low Resource Speech Recognition
Interspeech 2016
Language Model Data Augmentation for Keyword Spotting in Low-Resourced Training Conditions
Interspeech 2016
Large Scale Visual Recognition through Adaptation using Joint Representation and Multiple Instance Learning
JMLR 2016
Learning Algorithms for Second-Price Auctions with Reserve
JMLR 2016
Learning Aligned Cross-Modal Representations From Weakly Aligned Data
CVPR 2016
Learning and 1-bit Compressed Sensing under Asymmetric Noise
COLT 2016
Learning Attributes Equals Multi-Source Domain Generalization
CVPR 2016
Learning Compact Binary Descriptors With Unsupervised Deep Neural Networks
CVPR 2016
Learning Cross-Domain Landmarks for Heterogeneous Domain Adaptation
CVPR 2016
Learning Deep Feature Representations With Domain Guided Dropout for Person Re-Identification
CVPR 2016
Learning From the Mistakes of Others: Matching Errors in Cross-Dataset Learning
CVPR 2016
Learning Multi-Domain Convolutional Neural Networks for Visual Tracking
CVPR 2016
Learning Neural Network Representations Using Cross-Lingual Bottleneck Features with Word-Pair Information
Interspeech 2016
Learning Personalized Pronunciations for Contact Name Recognition
Interspeech 2016
Learning privately from multiparty data
ICML 2016
Learning Representations for Counterfactual Inference
ICML 2016
Learning Sensor Multiplexing Design through Back-propagation
NeurIPS 2016
Learning Structured Sparsity in Deep Neural Networks
NeurIPS 2016
Learning Succinct Models: Pipelined Compression with L1-Regularization, Hashing, Elias-Fano Indices, and Quantization
COLING 2016
Learning the Number of Neurons in Deep Networks
NeurIPS 2016
Learning Transferrable Representations for Unsupervised Domain Adaptation
NeurIPS 2016