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)
Meta-Learning through Hebbian Plasticity in Random Networks
NeurIPS 2020
Meta-Learning without Memorization
ICLR 2020
Meta-Learning with Shared Amortized Variational Inference
ICML 2020
MetaLight: Value-Based Meta-Reinforcement Learning for Traffic Signal Control
AAAI 2020
METAL: Minimum Effort Temporal Activity Localization in Untrimmed Videos
CVPR 2020
META: Metadata-Empowered Weak Supervision for Text Classification
EMNLP 2020
Meta Multi-Task Learning for Speech Emotion Recognition
Interspeech 2020
MetaPerturb: Transferable Regularizer for Heterogeneous Tasks and Architectures
NeurIPS 2020
Metaphor Detection using Context and Concreteness
ACL 2020
MetaPix: Few-Shot Video Retargeting
ICLR 2020
MetaPoison: Practical General-purpose Clean-label Data Poisoning
NeurIPS 2020
Meta-Transfer Learning for Code-Switched Speech Recognition
ACL 2020
Methods for Extracting Information from Messages from Primary Care Providers to Specialists
ACL 2020
Metric-Free Individual Fairness in Online Learning
NeurIPS 2020
metric-learn: Metric Learning Algorithms in Python
JMLR 2020
microbatchGAN: Stimulating Diversity with Multi-Adversarial Discrimination
WACV 2020
Midas: Microcluster-Based Detector of Anomalies in Edge Streams
AAAI 2020
MIME: MIMicking Emotions for Empathetic Response Generation
EMNLP 2020
Minimal Learning Machine: Theoretical Results and Clustering-Based Reference Point Selection
JMLR 2020
Minimally distorted Adversarial Examples with a Fast Adaptive Boundary Attack
ICML 2020
Minimax Rate for Learning From Pairwise Comparisons in the BTL Model
ICML 2020
Minimizing the Bag-of-Ngrams Difference for Non-Autoregressive Neural Machine Translation
AAAI 2020
Mining on Heterogeneous Manifolds for Zero-Shot Cross-Modal Image Retrieval
AAAI 2020
Mining Unfollow Behavior in Large-Scale Online Social Networks via Spatial-Temporal Interaction
AAAI 2020
Min-Max Optimization without Gradients: Convergence and Applications to Black-Box Evasion and Poisoning Attacks
ICML 2020