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)
Collaborative Consortium of Foundation Models for Open-World Few-Shot Learning
AAAI 2024
Collaborative Contrastive Learning for Hypothesis Domain Adaptation
Interspeech 2024
Collaborative Learning across Heterogeneous Systems with Pre-Trained Models
AAAI 2024
Collaborative Learning of Anomalies with Privacy (CLAP) for Unsupervised Video Anomaly Detection: A New Baseline
CVPR 2024
Collaborative Performance Prediction for Large Language Models
EMNLP 2024
Collaborative Refining for Learning from Inaccurate Labels
NeurIPS 2024
Collaborative Weakly Supervised Video Correlation Learning for Procedure-Aware Instructional Video Analysis
AAAI 2024
ColNeRF: Collaboration for Generalizable Sparse Input Neural Radiance Field
AAAI 2024
ColorSwap: A Color and Word Order Dataset for Multimodal Evaluation
ACL 2024
CoMat: Aligning Text-to-Image Diffusion Model with Image-to-Text Concept Matching
NeurIPS 2024
COMBAT: Alternated Training for Effective Clean-Label Backdoor Attacks
AAAI 2024
Combating Data Imbalances in Federated Semi-supervised Learning with Dual Regulators
AAAI 2024
Combating Insider Threat in the Open-World Environments: Identification, Monitoring, and Data Augmentation
AAAI 2024
Combating Label Sparsity in Short Text Topic Modeling via Nearest Neighbor Augmentation
ACL 2024
Combinatorial Bandits for Maximum Value Reward Function under Value-Index Feedback
ICLR 2024
Combinatorial Causal Bandits without Graph Skeleton
ACML 2024
Combinatorial CNN-Transformer Learning with Manifold Constraints for Semi-supervised Medical Image Segmentation
AAAI 2024
Combinatorial Stochastic-Greedy Bandit
AAAI 2024
Combining Confidence Elicitation and Sample-based Methods for Uncertainty Quantification in Misinformation Mitigation
EACL 2024
Combining Deep Learning and Street View Imagery to Map Smallholder Crop Types
AAAI 2024
Combining Graph Transformers Based Multi-Label Active Learning and Informative Data Augmentation for Chest Xray Classification
AAAI 2024
Combining Multiple Supervision for Robust Zero-Shot Dense Retrieval
AAAI 2024
Combining Observational Data and Language for Species Range Estimation
NeurIPS 2024
Combining Reconstruction-based Unsupervised Anomaly Detection with Supervised Segmentation for Brain MRIs
MIDL 2024
Combining Statistical Depth and Fermat Distance for Uncertainty Quantification
NeurIPS 2024