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)
Continual Learning in Low-rank Orthogonal Subspaces
NeurIPS 2020
Continual Learning Long Short Term Memory
EMNLP 2020
Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks
NeurIPS 2020
Continual Learning with Adaptive Weights (CLAW)
ICLR 2020
Continual Learning with Bayesian Neural Networks for Non-Stationary Data
ICLR 2020
Continual Learning With Extended Kronecker-Factored Approximate Curvature
CVPR 2020
Continual learning with hypernetworks
ICLR 2020
Continual Learning with Node-Importance based Adaptive Group Sparse Regularization
NeurIPS 2020
Continual Lifelong Learning in Natural Language Processing: A Survey
COLING 2020
Continual Relation Learning via Episodic Memory Activation and Reconsolidation
ACL 2020
Continuity of Topic, Interaction, and Query: Learning to Quote in Online Conversations
EMNLP 2020
Continuous Meta-Learning without Tasks
NeurIPS 2020
Continuous Multiagent Control Using Collective Behavior Entropy for Large-Scale Home Energy Management
AAAI 2020
Continuous Object Representation Networks: Novel View Synthesis without Target View Supervision
NeurIPS 2020
ContraCAT: Contrastive Coreference Analytical Templates for Machine Translation
COLING 2020
Contract Discovery: Dataset and a Few-Shot Semantic Retrieval Challenge with Competitive Baselines
EMNLP 2020
ContraGAN: Contrastive Learning for Conditional Image Generation
NeurIPS 2020
Contrastive Distillation on Intermediate Representations for Language Model Compression
EMNLP 2020
Contrastive Divergence Learning with Chained Belief Propagation
PGM 2020
Contrastive learning of global and local features for medical image segmentation with limited annotations
NeurIPS 2020
Contrastive Learning of Structured World Models
ICLR 2020
Contrastive Learning with Adversarial Examples
NeurIPS 2020
Contrastive Multi-View Representation Learning on Graphs
ICML 2020
Contrastive Predictive Coding of Audio with an Adversary
Interspeech 2020
Contrastive Representation Distillation
ICLR 2020