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)
A Measure of the System Dependence of Automated Metrics
ACL 2025
A Medical Image Classification Network Based on Multi-View Consistent Momentum Contrastive Learning
IJCAI 2025
AMI at WMT25 General Translation Task: How Low Can We Go? Finetuning Lightweight Llama Models for Low Resource Machine Translation
EMNLP 2025
Am I eligible? Natural Language Inference for Clinical Trial Patient Recruitment: the Patient’s Point of View
NAACL 2025
A Mixed-Curvature based Pre-training Paradigm for Multi-Task Vehicle Routing Solver
ICML 2025
AMNCutter: Affinity-Attention-Guided Multi-View Normalized Cutter for Unsupervised Surgical Instrument Segmentation
WACV 2025
A Modular Approach for Clinical SLMs Driven by Synthetic Data with Pre-Instruction Tuning, Model Merging, and Clinical-Tasks Alignment
ACL 2025
A Modular Taxonomy for Hate Speech Definitions and Its Impact on Zero-Shot LLM Classification Performance
ACL 2025
A Mousetrap: Fooling Large Reasoning Models for Jailbreak with Chain of Iterative Chaos
ACL 2025
A.M.P at SciHal2025: Automated Hallucination Detection in Scientific Content via LLMs and Prompt Engineering
ACL 2025
AmpleHate: Amplifying the Attention for Versatile Implicit Hate Detection
EMNLP 2025
Amplifier: Bringing Attention to Neglected Low-Energy Components in Time Series Forecasting
AAAI 2025
AMPS: ASR with Multimodal Paraphrase Supervision
NAACL 2025
AMR-RE: Abstract Meaning Representations for Retrieval-Based In-Context Learning in Relation Extraction
NAACL 2025
A Multi-Agent Framework for Quantitative Finance : An Application to Portfolio Management Analytics
EMNLP 2025
A Multi-Armed Bandit Approach to Online Selection and Evaluation of Generative Models
AISTATS 2025
A Multi-Task Learning Approach to Linear Multivariate Forecasting
AISTATS 2025
Amuro & Char: Analyzing the Relationship between Pre-Training and Fine-Tuning of Large Language Models
NAACL 2025
AMWAL: Named Entity Recognition for Arabic Financial News
COLING 2025
An Active Learning Framework for Inclusive Generation by Large Language Models
COLING 2025
An Adaptive Method for Weak Supervision with Drifting Data
AISTATS 2025
An Address Intelligence Framework for E-commerce Deliveries
EMNLP 2025
An Adversary-Resistant Multi-Agent LLM System via Credibility Scoring
IJCNLP 2025
Anak Baik: A Low-Cost Approach to Curate Indonesian Ethical and Unethical Instructions
COLING 2025
Analysing Zero-Shot Readability-Controlled Sentence Simplification
COLING 2025