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
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26
18
20
135
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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)
Model Selection in Contextual Stochastic Bandit Problems
NeurIPS 2020
Momentum Contrast for Unsupervised Visual Representation Learning
CVPR 2020
Momentum in Reinforcement Learning
AISTATS 2020
Monash-Summ@LongSumm 20 SciSummPip: An Unsupervised Scientific Paper Summarization Pipeline
EMNLP 2020
Monolingual Adapters for Zero-Shot Neural Machine Translation
EMNLP 2020
Monolingual Data Selection Analysis for English-Mandarin Hybrid Code-Switching Speech Recognition
Interspeech 2020
Monte-Carlo Graph Search: the Value of Merging Similar States
ACML 2020
Monte-Carlo Tree Search in Continuous Action Spaces with Value Gradients
AAAI 2020
More Bang for Your Buck: Natural Perturbation for Robust Question Answering
EMNLP 2020
More Data Can Expand The Generalization Gap Between Adversarially Robust and Standard Models
ICML 2020
More Diverse Dialogue Datasets via Diversity-Informed Data Collection
ACL 2020
MOSS: End-to-End Dialog System Framework with Modular Supervision
AAAI 2020
Most ReLU Networks Suffer from ℓ^2 Adversarial Perturbations
NeurIPS 2020
Motion-Based Generator Model: Unsupervised Disentanglement of Appearance, Trackable and Intrackable Motions in Dynamic Patterns
AAAI 2020
MR-GCN: Multi-Relational Graph Convolutional Networks based on Generalized Tensor Product
IJCAI 2020
MRI Banding Removal via Adversarial Training
NeurIPS 2020
MRP 2020: The Second Shared Task on Cross-Framework and Cross-Lingual Meaning Representation Parsing
CoNLL 2020
MTLB-STRUCT @Parseme 2020: Capturing Unseen Multiword Expressions Using Multi-task Learning and Pre-trained Masked Language Models
COLING 2020
MTL-NAS: Task-Agnostic Neural Architecture Search Towards General-Purpose Multi-Task Learning
CVPR 2020
MTSS: Learn from Multiple Domain Teachers and Become a Multi-Domain Dialogue Expert
AAAI 2020
MuLaN: Multilingual Label propagatioN for Word Sense Disambiguation
IJCAI 2020
Multi-Agent Actor-Critic with Hierarchical Graph Attention Network
AAAI 2020
Multi-Agent Determinantal Q-Learning
ICML 2020
Multi-Agent Game Abstraction via Graph Attention Neural Network
AAAI 2020
Multi-Agent Pattern Formation with Deep Reinforcement Learning (Student Abstract)
AAAI 2020