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)
Methodical Evaluation of Arabic Word Embeddings
ACL 2017
MIML-FCN+: Multi-Instance Multi-Label Learning via Fully Convolutional Networks With Privileged Information
CVPR 2017
Minimal Exploration in Structured Stochastic Bandits
NeurIPS 2017
Minimax-optimal semi-supervised regression on unknown manifolds
AISTATS 2017
Minimax rates for cost-sensitive learning on manifolds with approximate nearest neighbours
ALT 2017
Minimizing Trust Leaks for Robust Sybil Detection
ICML 2017
Mining Convex Polygon Patterns with Formal Concept Analysis
IJCAI 2017
Mining Object Parts From CNNs via Active Question-Answering
CVPR 2017
Missing Modalities Imputation via Cascaded Residual Autoencoder
CVPR 2017
MMD GAN: Towards Deeper Understanding of Moment Matching Network
NeurIPS 2017
MMN Responses in Adults After Exposure to Bimodal and Unimodal Frequency Distributions of Rotated Speech
Interspeech 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
ICML 2017
Model-Independent Online Learning for Influence Maximization
ICML 2017
Modeling Dialogue Acts with Content Word Filtering and Speaker Preferences
EMNLP 2017
Modeling Hebb Learning Rule for Unsupervised Learning
IJCAI 2017
Model-Powered Conditional Independence Test
NeurIPS 2017
Model Transfer for Tagging Low-resource Languages using a Bilingual Dictionary
ACL 2017
Mode Switch Assistance To Maximize Human Intent Disambiguation
RSS 2017
Modular Multitask Reinforcement Learning with Policy Sketches
ICML 2017
Monte-Carlo Tree Search by Best Arm Identification
NeurIPS 2017
MoodSwipe: A Soft Keyboard that Suggests MessageBased on User-Specified Emotions
EMNLP 2017
Morphological Analysis of the Dravidian Language Family
EACL 2017
MT/IE: Cross-lingual Open Information Extraction with Neural Sequence-to-Sequence Models
EACL 2017
MTNA: A Neural Multi-task Model for Aspect Category Classification and Aspect Term Extraction On Restaurant Reviews
IJCNLP 2017
Multi-Agent Systems of Inverse Reinforcement Learners in Complex Games
IJCAI 2017