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)
BDC-CLIP: Brownian Distance Covariance for Adapting CLIP to Action Recognition
ICML 2025
bea-jh at BEA 2025 Shared Task: Evaluating AI-powered Tutors through Pedagogically-Informed Reasoning
ACL 2025
BEE: Metric-Adapted Explanations via Baseline Exploration-Exploitation
AAAI 2025
Behavioral Entropy-Guided Dataset Generation for Offline Reinforcement Learning
ICLR 2025
BehaviorBox: Automated Discovery of Fine-Grained Performance Differences Between Language Models
ACL 2025
Behavior Importance-Aware Graph Neural Architecture Search for Cross-Domain Recommendation
AAAI 2025
BehaviorSFT: Behavioral Token Conditioning for Health Agents Across the Proactivity Spectrum
EMNLP 2025
Behaviour Preference Regression for Offline Reinforcement Learning
AAAI 2025
Believing is Seeing: Unobserved Object Detection using Generative Models
CVPR 2025
BELLE: A Bi-Level Multi-Agent Reasoning Framework for Multi-Hop Question Answering
ACL 2025
Bemba Speech Translation: Exploring a Low-Resource African Language
ACL 2025
Be More Diverse than the Most Diverse: Optimal Mixtures of Generative Models via Mixture-UCB Bandit Algorithms
ICLR 2025
Benchmarking AI Text Detection: Assessing Detectors Against New Datasets, Evasion Tactics, and Enhanced LLMs
COLING 2025
Benchmarking and Building Zero-Shot Hindi Retrieval Model with Hindi-BEIR and NLLB-E5
NAACL 2025
Benchmarking and Improving Large Vision-Language Models for Fundamental Visual Graph Understanding and Reasoning
ACL 2025
Benchmarking and Improving LLM Robustness for Personalized Generation
EMNLP 2025
Benchmarking and Mitigating MCQA Selection Bias of Large Vision-Language Models
EMNLP 2025
Benchmarking Debiasing Methods for LLM-based Parameter Estimates
EMNLP 2025
Benchmarking Deep Search over Heterogeneous Enterprise Data
EMNLP 2025
Benchmarking Failures in Tool-Augmented Language Models
NAACL 2025
Benchmarking for Domain-Specific LLMs: A Case Study on Academia and Beyond
EMNLP 2025
Benchmarking Large Language Models Under Data Contamination: A Survey from Static to Dynamic Evaluation
EMNLP 2025
Benchmarking LLM Faithfulness in RAG with Evolving Leaderboards
EMNLP 2025
Benchmarking LLMs and LLM-based Agents in Practical Vulnerability Detection for Code Repositories
ACL 2025
Benchmarking LLMs for Translating Classical Chinese Poetry: Evaluating Adequacy, Fluency, and Elegance
EMNLP 2025