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
'5
'10
'15
'20
'25
Papers (including subtopics)
Invariant Representations through Adversarial Forgetting
AAAI 2020
Inverse Learning of Symmetries
NeurIPS 2020
Invertible Gaussian Reparameterization: Revisiting the Gumbel-Softmax
NeurIPS 2020
Invertible Generative Modeling using Linear Rational Splines
AISTATS 2020
Invertible Tree Embeddings using a Cryptographic Role Embedding Scheme
COLING 2020
Investigating Annotator Bias with a Graph-Based Approach
EMNLP 2020
Investigating Matureness of Probabilistic Graphical Models for Dry-Bulk Shipping
PGM 2020
Investigating representations of verb bias in neural language models
EMNLP 2020
Investigating Rich Feature Sources for Conceptual Representation Encoding
COLING 2020
Investigating the Visual Lombard Effect with Gabor Based Features
Interspeech 2020
Investigating Word-Class Distributions in Word Vector Spaces
ACL 2020
Investigation of Large-Margin Softmax in Neural Language Modeling
Interspeech 2020
IPBoost – Non-Convex Boosting via Integer Programming
ICML 2020
IR3218-UI at SemEval-2020 Task 12: Emoji Effects on Offensive Language IdentifiCation
SemEval 2020
IRLab_DAIICT at SemEval-2020 Task 12: Machine Learning and Deep Learning Methods for Offensive Language Identification
SemEval 2020
IRLab_DAIICT at SemEval-2020 Task 9: Machine Learning and Deep Learning Methods for Sentiment Analysis of Code-Mixed Tweets
SemEval 2020
IRLab@IITBHU at WNUT-2020 Task 2: Identification of informative COVID-19 English Tweets using BERT
EMNLP 2020
IRlab@IITV at SemEval-2020 Task 12: Multilingual Offensive Language Identification in Social Media Using SVM
SemEval 2020
IR&TM-NJUST@CLSciSumm 20
EMNLP 2020
iSarcasm: A Dataset of Intended Sarcasm
ACL 2020
Is Everything Fine, Grandma? Acoustic and Linguistic Modeling for Robust Elderly Speech Emotion Recognition
Interspeech 2020
Is Graph Structure Necessary for Multi-hop Question Answering?
EMNLP 2020
ISIKUN at the FinCausal 2020: Linguistically informed Machine-learning Approach for Causality Identification in Financial Documents
COLING 2020
Is Killed More Significant than Fled? A Contextual Model for Salient Event Detection
COLING 2020
ISLab System for SMM4H Shared Task 2020
COLING 2020