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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'10
'15
'20
'25
Papers (including subtopics)
Learning Subject-Aware Cropping by Outpainting Professional Photos
AAAI 2024
Learning Successor Features the Simple Way
NeurIPS 2024
Learning Task-Aware Language-Image Representation for Class-Incremental Object Detection
AAAI 2024
Learning Task Decomposition to Assist Humans in Competitive Programming
ACL 2024
Learning the Optimal Policy for Balancing Short-Term and Long-Term Rewards
NeurIPS 2024
Learning the Pareto Set Under Incomplete Preferences: Pure Exploration in Vector Bandits
AISTATS 2024
Learning the Unlearned: Mitigating Feature Suppression in Contrastive Learning
ECCV 2024
Learning the What and How of Annotation in Video Object Segmentation
WACV 2024
Learning Thresholds with Latent Values and Censored Feedback
ICLR 2024
Learning Time Slot Preferences via Mobility Tree for Next POI Recommendation
AAAI 2024
Learning to Assist Humans without Inferring Rewards
NeurIPS 2024
Learning to Build Solutions in Stochastic Matching Problems Using Flows (Student Abstract)
AAAI 2024
Learning to compute Gröbner bases
NeurIPS 2024
Learning to Cooperate with Humans using Generative Agents
NeurIPS 2024
Learning to Correct for QA Reasoning with Black-box LLMs
EMNLP 2024
Learning to Count without Annotations
CVPR 2024
Learning to design protein-protein interactions with enhanced generalization
ICLR 2024
Learning to Detour: Shortcut Mitigating Augmentation for Weakly Supervised Semantic Segmentation
WACV 2024
Learning to Discuss Strategically: A Case Study on One Night Ultimate Werewolf
NeurIPS 2024
Learning to Edit Visual Programs with Self-Supervision
NeurIPS 2024
Learning to Embed Time Series Patches Independently
ICLR 2024
Learning to Generate Answers with Citations via Factual Consistency Models
ACL 2024
Learning to Generate Instruction Tuning Datasets for Zero-Shot Task Adaptation
ACL 2024
Learning to Generate Rules for Realistic Few-Shot Relation Classification: An Encoder-Decoder Approach
EMNLP 2024
Learning to grok: Emergence of in-context learning and skill composition in modular arithmetic tasks
NeurIPS 2024