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)
Conformalized Interval Arithmetic with Symmetric Calibration
AAAI 2025
Conformal Prediction for Federated Graph Neural Networks with Missing Neighbor Information
UAI 2025
Conformal Prediction for Partial Label Learning
AAAI 2025
Conformal Prediction for Zero-Shot Models
CVPR 2025
Conformal Prediction Under Generalized Covariate Shift with Posterior Drift
AISTATS 2025
Conformal Prediction without Nonconformity Scores
UAI 2025
ConformalSAM: Unlocking the Potential of Foundational Segmentation Models in Semi-Supervised Semantic Segmentation with Conformal Prediction
ICCV 2025
Conformal Structured Prediction
ICLR 2025
Conformal Thresholded Intervals for Efficient Regression
AAAI 2025
Confound from All Sides, Distill with Resilience: Multi-Objective Adversarial Paths to Zero-Shot Robustness
ICCV 2025
Confounding Factors in Relating Model Performance to Morphology
EMNLP 2025
ConfReady: A RAG based Assistant and Dataset for Conference Checklist Responses
EMNLP 2025
Confront Insider Threat: Precise Anomaly Detection in Behavior Logs Based on LLM Fine-Tuning
COLING 2025
ConLoan: A Contrastive Multilingual Dataset for Evaluating Loanwords
ACL 2025
ConMix: Contrastive Mixup at Representation Level for Long-tailed Deep Clustering
ICLR 2025
ConMo: Controllable Motion Disentanglement and Recomposition for Zero-Shot Motion Transfer
CVPR 2025
Connecting Giants: Synergistic Knowledge Transfer of Large Multimodal Models for Few-Shot Learning
IJCAI 2025
Connecting the Knowledge Dots: Retrieval-augmented Knowledge Connection for Commonsense Reasoning
EMNLP 2025
Con-ReCall: Detecting Pre-training Data in LLMs via Contrastive Decoding
COLING 2025
Consensus-Driven Active Model Selection
ICCV 2025
Consensus-Guided Incomplete Multi-view Clustering via Cross-view Affinities Learning
IJCAI 2025
Consensus or Conflict? Fine-Grained Evaluation of Conflicting Answers in Question-Answering
EMNLP 2025
ConShift: Sense-based Language Variation Analysis using Flexible Alignment
NAACL 2025
ConSim: Measuring Concept-Based Explanations’ Effectiveness with Automated Simulatability
ACL 2025
Consistency-Aware Padding for Incomplete Multi-Modal Alignment Clustering Based on Self-Repellent Greedy Anchor Search
IJCAI 2025