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)
Logical Consistency is Vital: Neural-Symbolic Information Retrieval for Negative-Constraint Queries
ACL 2025
Logical DA: Enhancing Data Augmentation for Logical Reasoning via a Multi-Agent System
ACL 2025
Logical forms complement probability in understanding language model (and human) performance
ACL 2025
Logical Reasoning with Outcome Reward Models for Test-Time Scaling
EMNLP 2025
LogicGame: Benchmarking Rule-Based Reasoning Abilities of Large Language Models
ACL 2025
Logic: Long-form Outline Generation via Imitative and Critical Self-refinement
EMNLP 2025
LogicNet: A Logical Consistency Embedded Face Attribute Learning Network
WACV 2025
LogiCoL: Logically-Informed Contrastive Learning for Set-based Dense Retrieval
EMNLP 2025
LogicQA: Logical Anomaly Detection with Vision Language Model Generated Questions
ACL 2025
Logic-Q: Improving Deep Reinforcement Learning-based Quantitative Trading via Program Sketch-based Tuning
AAAI 2025
Logic-Regularized Verifier Elicits Reasoning from LLMs
ACL 2025
LogicTree: Structured Proof Exploration for Coherent and Rigorous Logical Reasoning with Large Language Models
EMNLP 2025
LOGICZSL: Exploring Logic-induced Representation for Compositional Zero-shot Learning
CVPR 2025
LogiDynamics: Unraveling the Dynamics of Inductive, Abductive and Deductive Logical Inferences in LLM Reasoning
EMNLP 2025
LogiGraph: Logical Reasoning with Contrastive Learning and Lightweight Graph Networks
COLING 2025
Logits are All We Need to Adapt Closed Models
ICML 2025
Logits-Based Finetuning
EMNLP 2025
Logits DeConfusion with CLIP for Few-Shot Learning
CVPR 2025
Logit Separability-Driven Samples and Multiple Class-Related Words Selection for Advancing In-Context Learning
NAACL 2025
Logit Space Constrained Fine-Tuning for Mitigating Hallucinations in LLM-Based Recommender Systems
EMNLP 2025
Logos as a Well-Tempered Pre-train for Sign Language Recognition
EMNLP 2025
LogoSP: Local-global Grouping of Superpoints for Unsupervised Semantic Segmentation of 3D Point Clouds
CVPR 2025
LogRules: Enhancing Log Analysis Capability of Large Language Models through Rules
NAACL 2025
LoGU: Long-form Generation with Uncertainty Expressions
ACL 2025
LOHA: Direct Graph Spectral Contrastive Learning Between Low-Pass and High-Pass Views
AAAI 2025