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)
Text2Tabular – Reconstructing Tabular Research Data from Scientific Publications
ACL 2026
Text Classification Under Class Distribution Shift: A Survey
EACL 2026
Text-guided Controllable Diffusion for Realistic Camouflage Images Generation
AAAI 2026
Text-Guided Gradient Refinement: Resolving Multimodal Gradient Conflicts to Boost Adversarial Attacks on Vision-Language Models
AAAI 2026
TextShield-R1: Reinforced Reasoning for Tampered Text Detection
AAAI 2026
TGCA-LLM: Time-Aware Graph-Text Contrastive Alignment for Enhancing LLMs in Temporal Knowledge Graph Completion
AAAI 2026
TGCD: A Framework for Generalized Category Discovery in Time-Series Data
AAAI 2026
TGDD: Trajectory Guided Dataset Distillation with Balanced Distribution
AAAI 2026
The African Languages Lab: A Collaborative Approach to Advancing Low-Resource African NLP
ACL 2026
The Art of Calling the Winner by Asking Just Enough Questions
UAI 2026
The Confidence Dichotomy: Analyzing and Mitigating Miscalibration in Tool-Use Agents
ACL 2026
The Devil is in the Distributions: Explicit Modeling of Scene Content is Key in Zero-Shot Video Captioning
EACL 2026
The Emotional Baby Is Truly Deadly: Does Your Multimodal Large Reasoning Model Have Emotional Flattery Towards Humans?
AAAI 2026
The Finer the Better: Towards Granular-aware Open-set Domain Generalization
AAAI 2026
The Hidden Cost of Approximation in Online Mirror Descent
COLT 2026
The Illusion of Fairness: Auditing Fairness Interventions in Algorithmic Hiring with Audit Studies
AAAI 2026
The Minimal Search Space for Conditional Causal Bandits
UAI 2026
The Price of Knowledge: Optimal Algorithms for Costly Bandits
UAI 2026
The Role of Contextual Information in Best Arm Identification
JMLR 2026
The Sample Complexity of Multiclass and Sparse Contextual Bandits
COLT 2026
The Semantic Architect: How FEAML Bridges Structured Data and LLMs for Multi-Label Tasks
AAAI 2026
The Silence of the Facts: Popularity as a Barrier to Machine Unlearning
ACL 2026
The Silent Amplifier: In-Context Examples Fuel Bias in Large Language Models
AAAI 2026
Thesis proposal: COGNILENS: Analyzing Cognitive Decline in Language Models for Alzheimer’s Monitoring
EACL 2026
Thesis Proposal: Comparing Human and Model Perception of Writing Style under Controlled Perturbations
EACL 2026