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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'25
Papers (including subtopics)
Conditional Feature Importance with Generative Modeling Using Adversarial Random Forests
AAAI 2025
Conditional GAN for Enhancing Diffusion Models in Efficient and Authentic Global Gesture Generation from Audios
WACV 2025
Conditional Information Bottleneck-Based Multivariate Time Series Forecasting
IJCAI 2025
Conditional Kernel Imitation Learning for Continuous State Environments
L4DC 2025
Conditional Latent Diffusion Models for Zero-Shot Instance Segmentation
ICCV 2025
Conditional [MASK] Discrete Diffusion Language Model
EMNLP 2025
Conditional Prediction ROC Bands for Graph Classification
AISTATS 2025
Conditional Semantic Textual Similarity via Conditional Contrastive Learning
COLING 2025
ConDo: Continual Domain Expansion for Absolute Pose Regression
AAAI 2025
Condor: Enhance LLM Alignment with Knowledge-Driven Data Synthesis and Refinement
ACL 2025
ConDSeg: A General Medical Image Segmentation Framework via Contrast-Driven Feature Enhancement
AAAI 2025
CONFETTI: Conversational Function-Calling Evaluation Through Turn-Level Interactions
ACL 2025
Confidence Calibration in Large Language Model-Based Entity Matching
EMNLP 2025
Confidence Difference Reflects Various Supervised Signals in Confidence-Difference Classification
ICML 2025
Confidence Elicitation: A New Attack Vector for Large Language Models
ICLR 2025
Confidence Estimation for Error Detection in Text-to-SQL Systems
AAAI 2025
Confidence-guided Refinement Reasoning for Zero-shot Question Answering
EMNLP 2025
Confidence Improves Self-Consistency in LLMs
ACL 2025
Confidence v.s. Critique: A Decomposition of Self-Correction Capability for LLMs
ACL 2025
Configuring Data Augmentations to Reduce Variance Shift in Positional Embedding of Vision Transformers
AAAI 2025
ConfigX: Modular Configuration for Evolutionary Algorithms via Multitask Reinforcement Learning
AAAI 2025
ConFit v2: Improving Resume-Job Matching using Hypothetical Resume Embedding and Runner-Up Hard-Negative Mining
ACL 2025
Conflicting Needles in a Haystack: How LLMs behave when faced with contradictory information
EMNLP 2025
Conflicts in Texts: Data, Implications and Challenges
EMNLP 2025
Conformal Inference of Individual Treatment Effects Using Conditional Density Estimates
AAAI 2025