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
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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)
Lifelong Language-Conditioned Robotic Manipulation Learning
AAAI 2026
Light-IF: Endowing LLMs with Generalizable Reasoning via Preview and Self-Checking for Complex Instruction Following
AAAI 2026
Lightweight and Faithful Visual Condition Checking in Behavior Trees via Expert-Regularized Reinforcement Learning
ACL 2026
Linguistic Steganography via Self-Adjusting Asymmetric Number System (Abstract Reprint)
AAAI 2026
LinProVSR: Linguistics-Knowledge Guided Progressive Disambiguation Network for Visual Speech Recognition
AAAI 2026
LitBench: A Benchmark and Dataset for Reliable Evaluation of Creative Writing
EACL 2026
LiveCLKTBench: Towards Reliable Evaluation of Cross-Lingual Knowledge Transfer in Multilingual LLMs
ACL 2026
LLM2CLIP: Powerful Language Model Unlocks Richer Cross-Modality Representation
AAAI 2026
LLM-CAS: Dynamic Neuron Perturbation for Real-Time Hallucination Correction
AAAI 2026
LLM-Enhanced Energy Contrastive Learning for Out-of-Distribution Detection in Text-Attributed Graphs
AAAI 2026
LLMs Enable Bag-of-Texts Representations for Short-Text Clustering
ACL 2026
LLMs for Now, Fine-Tuning for Later: An Ensemble Approach to Data Drift in Domain-Specific Tasks
ACL 2026
lmfaoooo at SemEval-2026 Task 1: Humor Is an Audience. Preference Modeling for Constrained Humor Generation
SemEval 2026
LM-Lexicon: Improving Definition Modeling via Harmonizing Semantic Experts
EACL 2026
Localization-Anchored Instance Discrimination for Domain Adaptive Person Search
AAAI 2026
Local Markov Equivalence for PC-style Local Causal Discovery and Identification of Controlled Direct Effects
CLeaR 2026
Local Motion Matters: A Deconstruct-Recompose Paradigm for Reinforcement Learning Pre-training from Videos
CVPR 2026
Logic Unseen: Revealing the Logical Blindspots of Vision-Language Models
AAAI 2026
Logit-Adjusted Test-Time Adaptation under Partial Class Imbalance
WACV 2026
Long term sequential decision making under risk
UAI 2026
Look Closer! An Adversarial Parametric Editing Framework for Hallucination Mitigation in VLMs
AAAI 2026
LoopLLM: Transferable Energy-Latency Attacks in LLMs via Repetitive Generation
AAAI 2026
LoRA in LoRA: Towards Parameter-Efficient Architecture Expansion for Continual Visual Instruction Tuning
AAAI 2026
Lose Your Self (LoYS): An Adversarial Entropy-based Unsupervised Approach for Model Debiasing
WACV 2026
LST at MWE-2026 AdMIRe 2: Advancing Multimodal Idiomaticity Representation
EACL 2026