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)
Consistency-aware Self-Training for Iterative-based Stereo Matching
CVPR 2025
ConsistencyChecker: Tree-based Evaluation of LLM Generalization Capabilities
ACL 2025
Consistency of Compositional Generalization Across Multiple Levels
AAAI 2025
ConsistentChat: Building Skeleton-Guided Consistent Multi-Turn Dialogues for Large Language Models from Scratch
EMNLP 2025
Consistent Validation for Predictive Methods in Spatial Settings
AISTATS 2025
Constant-Factor Distortion Mechanisms for k-Committee Election
AAAI 2025
Constrained Multi-objective Bayesian Optimization through Optimistic Constraints Estimation
AISTATS 2025
Constrained Non-negative Matrix Factorization for Guided Topic Modeling of Minority Topics
EMNLP 2025
Constrained Preferential Bayesian Optimization and Its Application in Banner Ad Design
IJCAI 2025
Constrained Sequential Inference in Machine Learning Using Constraint Programming
IJCAI 2025
Constraint-Adaptive Policy Switching for Offline Safe Reinforcement Learning
AAAI 2025
Constraint-based Causal Discovery from a Collection of Conditioning Sets
UAI 2025
Construction-Based Reduction of Translationese for Low-Resource Languages: A Pilot Study on Bavarian
ACL 2025
ConstStyle: Robust Domain Generalization with Unified Style Transformation
ICCV 2025
Contamination Budget: Trade-offs Between Breadth, Depth and Difficulty
IJCAI 2025
Content-aware Balanced Spectrum Encoding in Masked Modeling for Time Series Classification
AAAI 2025
Content-free Logical Modification of Large Language Model by Disentangling and Modifying Logic Representation
AAAI 2025
Content-Style Learning from Unaligned Domains: Identifiability under Unknown Latent Dimensions
ICLR 2025
Context-Aware Academic Emotion Dataset and Benchmark
ICCV 2025
Context-aware Graph Neural Network for Graph-based Fraud Detection with Extremely Limited Labels
AAAI 2025
Context-Aware Multimodal Pretraining
CVPR 2025
Context-Aware Sentiment Forecasting via LLM-based Multi-Perspective Role-Playing Agents
ACL 2025
ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval
CVPR 2025
Context is all you need? Low-resource conversational ASR profits from context, coming from the same or from the other speaker
Interspeech 2025
Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document Embeddings
EMNLP 2025