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)
ControlSpeech: Towards Simultaneous and Independent Zero-shot Speaker Cloning and Zero-shot Language Style Control
ACL 2025
ControlText: Unlocking Controllable Fonts in Multilingual Text Rendering without Font Annotations
EMNLP 2025
Convergence and Implicit Bias of Gradient Descent on Continual Linear Classification
ICLR 2025
Convergence and Sample Complexity of Natural Policy Gradient Primal-Dual Methods for Constrained MDPs
JMLR 2025
Convergent Privacy Loss of Noisy-SGD without Convexity and Smoothness
ICLR 2025
ConvSearch-R1: Enhancing Query Reformulation for Conversational Search with Reasoning via Reinforcement Learning
EMNLP 2025
Cooperative Policy Agreement: Learning Diverse Policy for Offline MARL
AAAI 2025
Cooperative Pseudo Labeling for Unsupervised Federated Classification
ICCV 2025
Coordinate-based Speed of Sound Recovery for Aberration-Corrected Photoacoustic Computed Tomography
ICCV 2025
CoPL: Collaborative Preference Learning for Personalizing LLMs
EMNLP 2025
CoPRA: Bridging Cross-domain Pretrained Sequence Models with Complex Structures for Protein-RNA Binding Affinity Prediction
AAAI 2025
COPR: Continual Human Preference Learning via Optimal Policy Regularization
ACL 2025
Co-Progression Knowledge Distillation with Knowledge Prototype for Industrial Anomaly Detection
AAAI 2025
Copula Based Trainable Calibration Error Estimator of Multi-Label Classification with Label Interdependencies
AISTATS 2025
CoRAG: Enhancing Hybrid Retrieval-Augmented Generation through a Cooperative Retriever Architecture
EMNLP 2025
CoralSRT: Revisiting Coral Reef Semantic Segmentation by Feature Rectification via Self-supervised Guidance
ICCV 2025
CORD: Balancing COnsistency and Rank Distillation for Robust Retrieval-Augmented Generation
NAACL 2025
CoreEval: Automatically Building Contamination-Resilient Datasets with Real-World Knowledge toward Reliable LLM Evaluation
ACL 2025
Coreference as an indicator of context scope in multimodal narrative
ACL 2025
CoreFour_IIITK@DravidianLangTech 2025: Abusive Content Detection Against Women Using Machine Learning And Deep Learning Models
NAACL 2025
Core Knowledge Learning Framework for Graph
AAAI 2025
Coreset Selection via Reducible Loss in Continual Learning
ICLR 2025
CoRNStack: High-Quality Contrastive Data for Better Code Retrieval and Reranking
ICLR 2025
Corpus Poisoning via Approximate Greedy Gradient Descent
ACL 2025
CorrCLIP: Reconstructing Patch Correlations in CLIP for Open-Vocabulary Semantic Segmentation
ICCV 2025