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)
Towards Fairness with Limited Demographics via Disentangled Learning
IJCAI 2025
Towards Fully Exploiting LLM Internal States to Enhance Knowledge Boundary Perception
ACL 2025
Towards Fusion of Neural Audio Codec-based Representations with Spectral for Heart Murmur Classification via Bandit-based Cross-Attention Mechanism
Interspeech 2025
Towards Generalizable Multi-Camera 3D Object Detection via Perspective Rendering
AAAI 2025
Towards Generalizable Neural Simulators: Addressing Distribution Shifts Induced by Environmental and Temporal Variations
IJCAI 2025
Towards Generalizable Reinforcement Learning via Causality-Guided Self-Adaptive Representations
ICLR 2025
Towards Generalizable Scene Change Detection
CVPR 2025
Towards Generalizable Trajectory Prediction using Dual-Level Representation Learning and Adaptive Prompting
CVPR 2025
Towards Generalization Bounds of GCNs for Adversarially Robust Node Classification
ICLR 2025
Towards Graph Foundation Models: Learning Generalities Across Graphs via Task-Trees
ICML 2025
Towards Harmonized Uncertainty Estimation for Large Language Models
ACL 2025
Towards Human Understanding of Paraphrase Types in Large Language Models
COLING 2025
Towards Improved Risk Bounds for Transductive Learning
IJCAI 2025
Towards Inclusive Arabic LLMs: A Culturally Aligned Benchmark in Arabic Large Language Model Evaluation
COLING 2025
Towards Infinite-Long Prefix in Transformer
EMNLP 2025
Towards Learning to Complete Anything in Lidar
ICML 2025
Towards LLMs Robustness to Changes in Prompt Format Styles
NAACL 2025
Towards Long-Horizon Vision-Language Navigation: Platform, Benchmark and Method
CVPR 2025
Towards Macro-AUC Oriented Imbalanced Multi-Label Continual Learning
AAAI 2025
Towards Micro-Action Recognition with Limited Annotations: An Asynchronous Pseudo Labeling and Training Approach
IJCAI 2025
Towards Million-Scale Adversarial Robustness Evaluation With Stronger Individual Attacks
CVPR 2025
Towards More Discriminative Feature Learning in SNNs with Temporal-Self-Erasing Supervision
AAAI 2025
Towards More Diverse and Challenging Pre-training for Point Cloud Learning: Self-Supervised Cross Reconstruction with Decoupled Views
ICCV 2025
Towards Multi-Document Question Answering in Scientific Literature: Pipeline, Dataset, and Evaluation
EMNLP 2025
Towards Multimodal Sentiment Analysis via Hierarchical Correlation Modeling with Semantic Distribution Constraints
AAAI 2025