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)
EnerGIZAr: Leveraging GIZA++ for Effective Tokenizer Initialization
ACL 2025
Energy-consistent Neural Operators for Hamiltonian and Dissipative Partial Differential Equations
AISTATS 2025
Enhance Contextual Learning in ASR for Endangered Low-resource Languages
NAACL 2025
Enhanced Contrastive Learning with Multi-view Longitudinal Data for Chest X-ray Report Generation
CVPR 2025
Enhanced Importance Sampling Through Latent Space Exploration in Normalizing Flows
AAAI 2025
Enhanced OoD Detection through Cross-Modal Alignment of Multi-Modal Representations
CVPR 2025
Enhanced Sample Selection with Confidence Tracking: Identifying Correctly Labeled Yet Hard-to-Learn Samples in Noisy Data
AAAI 2025
Enhanced Unsupervised Discriminant Dimensionality Reduction for Nonlinear Data
IJCAI 2025
Enhanced Zero-Shot Machine Translation via Fixed Prefix Pair Bootstrapping
NAACL 2025
Enhance Modality Robustness in Text-Centric Multimodal Alignment with Adversarial Prompting
AAAI 2025
Enhance Multi-View Classification Through Multi-Scale Alignment and Expanded Boundary
ICLR 2025
Enhancing 3D Gaze Estimation in the Wild using Weak Supervision with Gaze Following Labels
CVPR 2025
Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability
ICML 2025
Enhancing Adversarial Transferability by Balancing Exploration and Exploitation with Gradient-Guided Sampling
ICCV 2025
Enhancing Adversarial Transferability in Visual-Language Pre-training Models via Local Shuffle and Sample-based Attack
NAACL 2025
Enhancing Adversarial Transferability with Adversarial Weight Tuning
AAAI 2025
Enhancing Adversarial Transferability with Checkpoints of a Single Model's Training
CVPR 2025
Enhancing AI-Driven Farming Advisory in Kenya with Efficient RAG Agents via Quantized Fine-Tuned Language Models
ACL 2025
Enhancing Antimicrobial Drug Resistance Classification by Integrating Sequence-Based and Text-Based Representations
ACL 2025
Enhancing Audiovisual Speech Recognition Through Bifocal Preference Optimization
AAAI 2025
Enhancing Automatic Term Extraction with Large Language Models via Syntactic Retrieval
ACL 2025
Enhancing BERT Fine-Tuning for Sentiment Analysis in Lower-Resourced Languages
IJCNLP 2025
Enhancing Causal Relationship Detection Using Prompt Engineering and Large Language Models
COLING 2025
Enhancing Chain of Thought Prompting in Large Language Models via Reasoning Patterns
AAAI 2025
Enhancing Chain-of-Thought Reasoning via Neuron Activation Differential Analysis
EMNLP 2025