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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'20
'25
Papers (including subtopics)
Enhancing Multivariate Time-Series Domain Adaptation via Contrastive Frequency Graph Discovery and Language-Guided Adversary Alignment
AAAI 2025
Enhancing Multi-View Classification Reliability with Adaptive Rejection
AAAI 2025
Enhancing NER by Harnessing Multiple Datasets with Conditional Variational Autoencoders
ACL 2025
Enhancing NER Performance in Low-Resource Pakistani Languages using Cross-Lingual Data Augmentation
NAACL 2025
Enhancing NLU in Large Language Models Using Adversarial Noisy Instruction Tuning
AAAI 2025
Enhancing Noise-Robust Losses for Large-Scale Noisy Data Learning
AAAI 2025
Enhancing Non-English Capabilities of English-Centric Large Language Models Through Deep Supervision Fine-Tuning
AAAI 2025
Enhancing Novel Object Detection via Cooperative Foundational Models
WACV 2025
Enhancing Nursing and Elderly Care with Large Language Models: An AI-Driven Framework
COLING 2025
Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization
CVPR 2025
Enhancing Online Reinforcement Learning with Meta-Learned Objective from Offline Data
AAAI 2025
Enhancing Participatory Development Research in South Asia through LLM Agents System: An Empirically-Grounded Methodological Initiative and Agenda from Field Evidence in Sri Lankan
COLING 2025
Enhancing Persona Consistency for LLMs’ Role-Playing using Persona-Aware Contrastive Learning
ACL 2025
Enhancing Prediction Performance through Influence Measure
ICLR 2025
Enhancing Predictive Healthcare Using AI-Driven Early Warning Systems
AAAI 2025
Enhancing Predictive Imaging Biomarker Discovery through Treatment Effect Analysis
WACV 2025
Enhancing Reasoning Abilities of Small LLMs with Cognitive Alignment
EMNLP 2025
Enhancing Regulatory Compliance Through Automated Retrieval, Reranking, and Answer Generation
COLING 2025
Enhancing Relation Extraction via Supervised Rationale Verification and Feedback
AAAI 2025
Enhancing Retrieval-Augmented Generation via Evidence Tree Search
ACL 2025
Enhancing Retrieval for ESGLLM via ESG-CID: A Disclosure Content Index Finetuning Dataset for Mapping GRI and ESRS
ACL 2025
Enhancing Retrieval Systems with Inference-Time Logical Reasoning
ACL 2025
Enhancing Reward Models for High-quality Image Generation: Beyond Text-Image Alignment
ICCV 2025
Enhancing RLHF with Human Gaze Modeling
EMNLP 2025
Enhancing Robustness in Incremental Learning with Adversarial Training
AAAI 2025