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)
Optimal Learning of Kernel Logistic Regression for Complex Classification Scenarios
ICLR 2025
Optimal Multi-Objective Best Arm Identification with Fixed Confidence
AISTATS 2025
Optimal Protocols for Continual Learning via Statistical Physics and Control Theory
ICLR 2025
Optimal Sample Selection Through Uncertainty Estimation and Its Application in Deep Learning
JMLR 2025
Optimal Stochastic Trace Estimation in Generative Modeling
AISTATS 2025
Optimal Strong Regret and Violation in Constrained MDPs via Policy Optimization
ICLR 2025
Optimal Transport Alignment of User Preferences from Ratings and Texts
UAI 2025
Optimal Transport for Time Series Imputation
ICLR 2025
Optimal Zero-shot Regret Minimization for Selective Classification with Out-of-Distribution Detection
UAI 2025
Optimising Factual Consistency in Summarisation via Preference Learning from Multiple Imperfect Metrics
EMNLP 2025
Optimising Spatial Teamwork Under Uncertainty
AAAI 2025
Optimization before Evaluation: Evaluation with Unoptimized Prompts Can be Misleading
ACL 2025
Optimization Over a Probability Simplex
JMLR 2025
Optimized Gradient Clipping for Noisy Label Learning
AAAI 2025
Optimized Text Embedding Models and Benchmarks for Amharic Passage Retrieval
ACL 2025
Optimizing Backward Policies in GFlowNets via Trajectory Likelihood Maximization
ICLR 2025
Optimizing Cost-Efficiency with LLM-Generated Training Data for Conversational Semantic Frame Analysis
NAACL 2025
Optimizing Data Collection for Machine Learning
JMLR 2025
Optimizing Decomposition for Optimal Claim Verification
ACL 2025
Optimizing Heat Alert Issuance with Reinforcement Learning
AAAI 2025
Optimizing Label Assignment for Weakly Supervised Person Search
AAAI 2025
Optimizing Lifelong Fine-Tuning for Multiple Tasks via Dataless Distribution Replay
COLING 2025
Optimizing Question Semantic Space for Dynamic Retrieval-Augmented Multi-hop Question Answering
ACL 2025
Optimizing Return Distributions with Distributional Dynamic Programming
JMLR 2025
Optimizing Vision-Language Model for Road Crossing Intention Estimation
WACV 2025