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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'20
'25
Papers (including subtopics)
C-PMI: Conditional Pointwise Mutual Information for Turn-level Dialogue Evaluation
ACL 2023
Crafting Monocular Cues and Velocity Guidance for Self-Supervised Multi-Frame Depth Learning
AAAI 2023
Creative Problem Solving in Artificially Intelligent Agents: A Survey and Framework (Extended Abstract)
IJCAI 2023
CReTIHC: Designing Causal Reasoning Tasks about Temporal Interventions and Hallucinated Confoundings
EMNLP 2023
CRIN: Rotation-Invariant Point Cloud Analysis and Rotation Estimation via Centrifugal Reference Frame
AAAI 2023
CRISP: Curriculum based Sequential neural decoders for Polar code family
ICML 2023
Critical Firms Prediction for Stemming Contagion Risk in Networked-Loans through Graph-Based Deep Reinforcement Learning
AAAI 2023
Critical Learning Periods for Multisensory Integration in Deep Networks
CVPR 2023
Critic-Guided Decoding for Controlled Text Generation
ACL 2023
CrOC: Cross-View Online Clustering for Dense Visual Representation Learning
CVPR 2023
CroCo v2: Improved Cross-view Completion Pre-training for Stereo Matching and Optical Flow
ICCV 2023
CROMA: Remote Sensing Representations with Contrastive Radar-Optical Masked Autoencoders
NeurIPS 2023
Cross-Category Highlight Detection via Feature Decomposition and Modality Alignment
AAAI 2023
CrossCodeEval: A Diverse and Multilingual Benchmark for Cross-File Code Completion
NeurIPS 2023
Cross Contrasting Feature Perturbation for Domain Generalization
ICCV 2023
Cross-Cultural Analysis of Human Values, Morals, and Biases in Folk Tales
EMNLP 2023
Cross-Dialectal Named Entity Recognition in Arabic
EMNLP 2023
Cross-Document Event Coreference Resolution: Instruct Humans or Instruct GPT?
CoNLL 2023
Cross-Domain 3D Hand Pose Estimation With Dual Modalities
CVPR 2023
Cross-Domain Adaptative Learning for Online Advertisement Customer Lifetime Value Prediction
AAAI 2023
Cross-Domain Argument Quality Estimation
ACL 2023
Cross-Domain Few-Shot Graph Classification with a Reinforced Task Coordinator
AAAI 2023
Cross-domain German Medical Named Entity Recognition using a Pre-Trained Language Model and Unified Medical Semantic Types
ACL 2023
Cross-Domain Graph Anomaly Detection via Anomaly-Aware Contrastive Alignment
AAAI 2023
Cross-Domain Image Captioning With Discriminative Finetuning
CVPR 2023