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)
Multi-Channel Convolutional Neural Networks with Adversarial Training for Few-Shot Relation Classification (Student Abstract)
AAAI 2020
Multi-choice Relational Reasoning for Machine Reading Comprehension
COLING 2020
Multi-Class Imbalanced Graph Convolutional Network Learning
IJCAI 2020
Multi-class Novelty Detection Using Mix-up Technique
WACV 2020
MultiCQA: Zero-Shot Transfer of Self-Supervised Text Matching Models on a Massive Scale
EMNLP 2020
Multi-document Summarization with Maximal Marginal Relevance-guided Reinforcement Learning
EMNLP 2020
Multi-Domain Dialogue Acts and Response Co-Generation
ACL 2020
Multi-Domain Learning for Accurate and Few-Shot Color Constancy
CVPR 2020
Multi-Domain Named Entity Recognition with Genre-Aware and Agnostic Inference
ACL 2020
Multifaceted Uncertainty Estimation for Label-Efficient Deep Learning
NeurIPS 2020
Multi-Feedback Bandit Learning with Probabilistic Contexts
IJCAI 2020
Multi-Fidelity Multi-Objective Bayesian Optimization: An Output Space Entropy Search Approach
AAAI 2020
Multi-grained Chinese Word Segmentation with Weakly Labeled Data
COLING 2020
Multi-hop Inference for Question-driven Summarization
EMNLP 2020
Multi-Hypothesis Machine Translation Evaluation
ACL 2020
Multi-Instance Multi-Label Action Recognition and Localization Based on Spatio-Temporal Pre-Trimming for Untrimmed Videos
AAAI 2020
Multi-Label Causal Feature Selection
AAAI 2020
Multi-Label Classification with Label Graph Superimposing
AAAI 2020
Multi-label Contrastive Predictive Coding
NeurIPS 2020
Multi-label Feature Selection via Global Relevance and Redundancy Optimization
IJCAI 2020
Multi-label Few/Zero-shot Learning with Knowledge Aggregated from Multiple Label Graphs
EMNLP 2020
Multi-Label Visual Feature Learning with Attentional Aggregation
WACV 2020
Multi-level Alignment Pretraining for Multi-lingual Semantic Parsing
COLING 2020
Multilingual Knowledge Graph Completion via Ensemble Knowledge Transfer
EMNLP 2020
Multilingual Speech Recognition Using Language-Specific Phoneme Recognition as Auxiliary Task for Indian Languages
Interspeech 2020