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)
CE-DA: Custom Embedding and Dynamic Aggregation for Zero-Shot Relation Extraction
COLING 2025
CEMIL: Contextual Attention Based Efficient Weakly Supervised Approach for Histopathology Image Classification
WACV 2025
CEMTM: Contextual Embedding-based Multimodal Topic Modeling
EMNLP 2025
Centrality-guided Pre-training for Graph
ICLR 2025
CER: Confidence Enhanced Reasoning in LLMs
ACL 2025
Certain but not Probable? Differentiating Certainty from Probability in LLM Token Outputs for Probabilistic Scenarios
EMNLP 2025
CertainlyUncertain: A Benchmark and Metric for Multimodal Epistemic and Aleatoric Awareness
ICLR 2025
Certification of Speaker Recognition Models to Additive Perturbations
AAAI 2025
CESRec: Constructing Pseudo Interactions for Sequential Recommendation via Conversational Feedback
EMNLP 2025
CFDM: Contrastive Fusion and Disambiguation for Multi-View Partial-Label Learning
AAAI 2025
CGI: Identifying Conditional Generative Models with Example Images
IJCAI 2025
CGMatch: A Different Perspective of Semi-supervised Learning
CVPR 2025
Chain of Attack: On the Robustness of Vision-Language Models Against Transfer-Based Adversarial Attacks
CVPR 2025
Chain of Evidences and Evidence to Generate: Prompting for Context Grounded and Retrieval Augmented Reasoning
NAACL 2025
Chain-of-Instructions: Compositional Instruction Tuning on Large Language Models
AAAI 2025
Chain-of-Interactions: Multi-step Iterative ICL Framework for Abstractive Task-Oriented Dialogue Summarization of Conversational AI Interactions
EMNLP 2025
Chain of Methodologies: Scaling Test Time Computation without Training
ACL 2025
Chain-of-Rank: Enhancing Large Language Models for Domain-Specific RAG in Edge Device
NAACL 2025
Chain-of-Reasoning: Towards Unified Mathematical Reasoning in Large Language Models via a Multi-Paradigm Perspective
ACL 2025
Chain-of-Scrutiny: Detecting Backdoor Attacks for Large Language Models
ACL 2025
Chain of Strategy Optimization Makes Large Language Models Better Emotional Supporter
EMNLP 2025
Chain-of-Thought Matters: Improving Long-Context Language Models with Reasoning Path Supervision
EMNLP 2025
Chain-of-Thought Provably Enables Learning the (Otherwise) Unlearnable
ICLR 2025
Chain-Talker: Chain Understanding and Rendering for Empathetic Conversational Speech Synthesis
ACL 2025
Challenges and Limitations in Gathering Resources for Low-Resource Languages: The Case of Medumba
ACL 2025