Learning Types
56,253 papers (3 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Self-Supervised Learning (8,965)
Adversarial Learning (5,204)
Unsupervised Learning (4,874)
Transfer Learning (4,808)
Weakly Supervised Learning (3,938)
Contrastive Learning (3,748)
Zero-Shot Learning (3,130)
Semi-Supervised Learning (3,128)
Reinforcement Learning (3,118)
Multi-Task Learning (2,556)
Evaluation (2,164)
Continual Learning (2,107)
Active Learning (1,983)
Few-Shot Learning (1,840)
Deep Learning (1,404)
Online Learning (1,360)
Multi-Armed Bandits (1,327)
Multimodal Learning (1,289)
Supervised Learning (986)
Multi-Agent Systems (813)
Uncertainty Quantification (805)
Causal Inference (636)
Robustness (576)
Retrieval-Augmented Generation (565)
Fine-Tuning (490)
Ensemble Learning (482)
In-Context Learning (439)
Multi-Label Classification (430)
Imitation Learning (387)
Prompt Engineering (270)
Multi-Lingual Learning (269)
Distribution Shift (264)
Reinforcement Learning from Human Feedback (209)
Regularization (207)
Exploration-Exploitation (203)
Generative Models (200)
Multi-Objective Optimization (185)
Out-of-Distribution Detection (176)
Sparse Learning (165)
Sampling (150)
Preference Learning (136)
Offline Reinforcement Learning (130)
Multi-Label Learning (128)
Markov Decision Process (127)
Neural Architecture Search (122)
Multi-Instance Learning (121)
Multi-View Learning (117)
Robust Learning (110)
Generative Model (110)
Time Series (108)
Large Language Models (104)
Exploration (103)
Hyperparameter Optimization (99)
Machine Unlearning (95)
Imbalanced Learning (93)
Machine Translation (93)
Multi-Class Classification (85)
Differential Privacy (82)
Time Series Analysis (71)
Reasoning (70)
Calibration (67)
Structure Learning (66)
Physics-Informed Learning (62)
Class Imbalance (58)
Model-Based RL (55)
Interactive Learning (55)
Multi-Domain Learning (47)
Inverse Reinforcement Learning (46)
Crowdsourcing (40)
Off-Policy Learning (38)
Label Noise (38)
Noisy Label Learning (35)
Offline RL (32)
Attention (32)
Evolutionary Algorithm (32)
Decision Making (31)
Policy Learning (30)
Personalization (28)
Low-Resource Learning (26)
Collaborative Filtering (25)
Self-Training (24)
Sequential Modeling (24)
Parameter Estimation (23)
Survival Analysis (21)
Machine Learning (20)
Parameter-Efficient Fine-Tuning (20)
Synthetic Data Generation (20)
Annotation (18)
Symbolic Regression (18)
AutoML (16)
Security (15)
Multi-Source Learning (13)
Distant Supervision (13)
Text Generation (11)
Distributional Reinforcement Learning (9)
Sentiment Analysis (9)
Multi-Hop Reasoning (9)
Language Modeling (9)
Code Generation (8)
Multi-Object Tracking (8)
Natural Language Inference (7)
Chain-of-Thought (6)
Question Answering (5)
Papers per year
1
8
12
26
18
20
135
136
147
149
220
231
316
526
460
477
660
1,314
2,083
3,689
4,652
5,914
6,826
8,201
8,755
9,258
2,019
2000
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Papers (including subtopics)
Iteratively Questioning and Answering for Interpretable Legal Judgment Prediction
AAAI 2020
Iterative Pseudo-Labeling for Speech Recognition
Interspeech 2020
It’s Morphin’ Time! Combating Linguistic Discrimination with Inflectional Perturbations
ACL 2020
It’s not a Non-Issue: Negation as a Source of Error in Machine Translation
EMNLP 2020
IUST at SemEval-2020 Task 9: Sentiment Analysis for Code-Mixed Social Media Text Using Deep Neural Networks and Linear Baselines
SemEval 2020
IV-SLAM: Introspective Vision for Simultaneous Localization and Mapping
CoRL 2020
Ivy: Instrumental Variable Synthesis for Causal Inference
AISTATS 2020
IWE-Net: Instance Weight Network for Locating Negative Comments and its application to improve Traffic User Experience
AAAI 2020
Jacobian Adversarially Regularized Networks for Robustness
ICLR 2020
JANE: Jointly Adversarial Network Embedding
IJCAI 2020
JA-POLS: A Moving-Camera Background Model via Joint Alignment and Partially-Overlapping Local Subspaces
CVPR 2020
JCT at SemEval-2020 Task 1: Combined Semantic Vector Spaces Models for Unsupervised Lexical Semantic Change Detection
SemEval 2020
Jelly Bean World: A Testbed for Never-Ending Learning
ICLR 2020
jiant: A Software Toolkit for Research on General-Purpose Text Understanding Models
ACL 2020
Joint Adversarial Learning for Domain Adaptation in Semantic Segmentation
AAAI 2020
Joint Character-Level Word Embedding and Adversarial Stability Training to Defend Adversarial Text
AAAI 2020
Joint Contrastive Learning with Infinite Possibilities
NeurIPS 2020
Joint Detection of Sentence Stress and Phrase Boundary for Prosody
Interspeech 2020
Joint Entity and Relation Extraction for Legal Documents with Legal Feature Enhancement
COLING 2020
Joint Intent Detection and Entity Linking on Spatial Domain Queries
EMNLP 2020
Joint Learning of the Graph and the Data Representation for Graph-Based Semi-Supervised Learning
COLING 2020
Joint Learning with Pre-trained Transformer on Named Entity Recognition and Relation Extraction Tasks for Clinical Analytics
EMNLP 2020
Jointly Fine-Tuning “BERT-Like” Self Supervised Models to Improve Multimodal Speech Emotion Recognition
Interspeech 2020
Joint Modeling of Local and Global Temporal Dynamics for Multivariate Time Series Forecasting with Missing Values
AAAI 2020
Joint Modelling of Emotion and Abusive Language Detection
ACL 2020