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)
Agent Modelling under Partial Observability for Deep Reinforcement Learning
NeurIPS 2021
A Geometric Perspective towards Neural Calibration via Sensitivity Decomposition
NeurIPS 2021
Aggregated Multi-GANs for Controlled 3D Human Motion Prediction
AAAI 2021
Aggregating and Learning from Multiple Annotators
EACL 2021
A Global Occlusion-Aware Approach to Self-Supervised Monocular Visual Odometry
AAAI 2021
Agnostic Learning of Halfspaces with Gradient Descent via Soft Margins
ICML 2021
Agnostic Proper Learning of Halfspaces under Gaussian Marginals
COLT 2021
Agnostic Reinforcement Learning with Low-Rank MDPs and Rich Observations
NeurIPS 2021
AGORA: Avatars in Geography Optimized for Regression Analysis
CVPR 2021
A Gradient Based Strategy for Hamiltonian Monte Carlo Hyperparameter Optimization
ICML 2021
A Gradually Soft Multi-Task and Data-Augmented Approach to Medical Question Understanding
ACL 2021
A Graph Reasoning Network for Multi-turn Response Selection via Customized Pre-training
AAAI 2021
Agreeing to Disagree: Annotating Offensive Language Datasets with Annotators’ Disagreement
EMNLP 2021
Agreement-Discrepancy-Selection: Active Learning with Progressive Distribution Alignment
AAAI 2021
Aha! Adaptive History-Driven Attack for Decision-Based Black-Box Models
ICCV 2021
A Hierarchical Approach to Multi-Event Survival Analysis
AAAI 2021
A Hierarchical Reinforcement Learning Based Optimization Framework for Large-scale Dynamic Pickup and Delivery Problems
NeurIPS 2021
A Hierarchical Transformation-Discriminating Generative Model for Few Shot Anomaly Detection
ICCV 2021
A Highly-Parameterized Ensemble to Play Gin Rummy
AAAI 2021
A Human-AI Teaming Approach for Incremental Taxonomy Learning from Text
IJCAI 2021
A Human-machine Collaborative Framework for Evaluating Malevolence in Dialogues
ACL 2021
A Hybrid Attention Mechanism for Weakly-Supervised Temporal Action Localization
AAAI 2021
A Hybrid Bandit Framework for Diversified Recommendation
AAAI 2021
A Hybrid Rule-Based and Neural Coreference Resolution System with an Evaluation on Dutch Literature
EMNLP 2021
AI-Assisted Scientific Data Collection with Iterative Human Feedback
AAAI 2021