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)
Event-Related Bias Removal for Real-time Disaster Events
EMNLP 2020
EventSR: From Asynchronous Events to Image Reconstruction, Restoration, and Super-Resolution via End-to-End Adversarial Learning
CVPR 2020
Evidence-Aware Inferential Text Generation with Vector Quantised Variational AutoEncoder
ACL 2020
Evolutionary Population Curriculum for Scaling Multi-Agent Reinforcement Learning
ICLR 2020
Evolutionary Reinforcement Learning for Sample-Efficient Multiagent Coordination
ICML 2020
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs
AAAI 2020
Evolving Losses for Unsupervised Video Representation Learning
CVPR 2020
Exact Passive-Aggressive Algorithms for Multiclass Classification Using Bandit Feedbacks
ACML 2020
Exact Recovery of Mangled Clusters with Same-Cluster Queries
NeurIPS 2020
Examination and Extension of Strategies for Improving Personalized Language Modeling via Interpolation
ACL 2020
Exchangeable Generative Models with Flow Scans
AAAI 2020
Exclusive Hierarchical Decoding for Deep Keyphrase Generation
ACL 2020
Exemplar Guided Active Learning
NeurIPS 2020
Explainable Data Decompositions
AAAI 2020
Explainable Reinforcement Learning through a Causal Lens
AAAI 2020
Explanation vs Attention: A Two-Player Game to Obtain Attention for VQA
AAAI 2020
Exploit Clues From Views: Self-Supervised and Regularized Learning for Multiview Object Recognition
CVPR 2020
Exploiting Joint Robustness to Adversarial Perturbations
CVPR 2020
Exploiting MMD and Sinkhorn Divergences for Fair and Transferable Representation Learning
NeurIPS 2020
Exploiting Motion Information from Unlabeled Videos for Static Image Action Recognition
AAAI 2020
Exploiting Multi-Modal Features from Pre-Trained Networks for Alzheimer’s Dementia Recognition
Interspeech 2020
Exploiting Mutual Information for Substructure-aware Graph Representation Learning
IJCAI 2020
Exploiting Node Content for Multiview Graph Convolutional Network and Adversarial Regularization
COLING 2020
Exploiting Spatial Invariance for Scalable Unsupervised Object Tracking
AAAI 2020
Exploiting Structured Knowledge in Text via Graph-Guided Representation Learning
EMNLP 2020