Core Methods
51,083 papers (8 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Representation Learning (22,308)
Classification (15,497)
Regression (5,281)
Clustering (3,809)
Embedding Learning (3,795)
Metric Learning (2,938)
Graph Neural Networks (1,211)
Graphical Models (1,093)
Feature Learning (891)
Kernel Methods (795)
Dimensionality Reduction (780)
Interpretability (512)
Feature Selection (511)
Matrix Factorization (408)
Ranking (315)
Ensemble Methods (300)
Support Vector Machine (295)
Anomaly Detection (281)
Sequence Modeling (244)
Structured Prediction (237)
Sequence Labeling (157)
Topic Modeling (150)
Sparse Coding (140)
Matrix Completion (131)
Neural Networks (114)
Retrieval (105)
Density Estimation (104)
Estimation (83)
Inference (56)
Decision Tree (50)
Feature Extraction (40)
Model Selection (39)
Prediction (35)
Information Extraction (7)
Papers per year
4
21
30
55
40
51
225
219
249
257
357
364
480
942
818
966
1,394
2,092
3,114
4,415
4,853
5,064
5,371
5,992
6,412
5,823
1,475
2000
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Papers (including subtopics)
Low Latency End-to-End Streaming Speech Recognition with a Scout Network
Interspeech 2020
Low-Rank Compression of Neural Nets: Learning the Rank of Each Layer
CVPR 2020
Low-rank regularization and solution uniqueness in over-parameterized matrix sensing
AISTATS 2020
Low-Resource Domain Adaptation for Compositional Task-Oriented Semantic Parsing
EMNLP 2020
Low-Resource Generation of Multi-hop Reasoning Questions
ACL 2020
Low Resource Sequence Tagging with Weak Labels
AAAI 2020
LP-SparseMAP: Differentiable Relaxed Optimization for Sparse Structured Prediction
ICML 2020
L*ReLU: Piece-wise Linear Activation Functions for Deep Fine-grained Visual Categorization
WACV 2020
LSDC - A comprehensive dataset for Low Saxon Dialect Classification
COLING 2020
LSGCN: Long Short-Term Traffic Prediction with Graph Convolutional Networks
IJCAI 2020
LSM: Learning Subspace Minimization for Low-Level Vision
CVPR 2020
LSTMs Compose—and Learn—Bottom-Up
EMNLP 2020
LS-Tree: Model Interpretation When the Data Are Linguistic
AAAI 2020
LT3 at SemEval-2020 Task 7: Comparing Feature-Based and Transformer-Based Approaches to Detect Funny Headlines
SemEval 2020
LT3 at SemEval-2020 Task 8: Multi-Modal Multi-Task Learning for Memotion Analysis
SemEval 2020
LT3 at SemEval-2020 Task 9: Cross-lingual Embeddings for Sentiment Analysis of Hinglish Social Media Text
SemEval 2020
LTF: A Label Transformation Framework for Correcting Label Shift
ICML 2020
LTG-ST at NADI Shared Task 1: Arabic Dialect Identification using a Stacking Classifier
COLING 2020
LT@Helsinki at SemEval-2020 Task 12: Multilingual or Language-specific BERT?
SemEval 2020
LungRN+NL: An Improved Adventitious Lung Sound Classification Using Non-Local Block ResNet Neural Network with Mixup Data Augmentation
Interspeech 2020
M2m: Imbalanced Classification via Major-to-Minor Translation
CVPR 2020
M3ER: Multiplicative Multimodal Emotion Recognition using Facial, Textual, and Speech Cues
AAAI 2020
Machine-Learning-Based Functional Microcirculation Analysis
AAAI 2020
Machines Getting with the Program: Understanding Intent Arguments of Non-Canonical Directives
EMNLP 2020
MAF: Multimodal Alignment Framework for Weakly-Supervised Phrase Grounding
EMNLP 2020