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)
Disentangled Multi-span Evolutionary Network against Temporal Knowledge Graph Reasoning
ACL 2025
Disentangled World Models: Learning to Transfer Semantic Knowledge from Distracting Videos for Reinforcement Learning
ICCV 2025
Disentangle Nighttime Lens Flares: Self-supervised Generation-based Lens Flare Removal
AAAI 2025
Disentangle Source and Target Knowledge for Continual Test-Time Adaptation
WACV 2025
Disentangling, Amplifying, and Debiasing: Learning Disentangled Representations for Fair Graph Neural Networks
AAAI 2025
Disentangling Biased Knowledge from Reasoning in Large Language Models via Machine Unlearning
ACL 2025
Disentangling Disentangled Representations: Towards Improved Latent Units via Diffusion Models
WACV 2025
Disentangling Invariant Subgraph via Variance Contrastive Estimation under Distribution Shifts
ICML 2025
Disentangling Language and Culture for Evaluating Multilingual Large Language Models
ACL 2025
Disentangling language change: sparse autoencoders quantify the semantic evolution of indigeneity in French
NAACL 2025
Disentangling Long-Short Term State Under Unknown Interventions for Online Time Series Forecasting
AAAI 2025
Disentangling Memory and Reasoning Ability in Large Language Models
ACL 2025
Disentangling Multi-view Representations via Curriculum Learning with Learnable Prior
IJCAI 2025
Disentangling Reasoning Tokens and Boilerplate Tokens For Language Model Fine-tuning
ACL 2025
Disentangling Representations through Multi-task Learning
ICLR 2025
Disentangling Spatio-Temporal Knowledge for Weakly Supervised Object Detection and Segmentation in Surgical Video
WACV 2025
Disentangling Subject-Irrelevant Elements in Personalized Text-to-Image Diffusion via Filtered Self-Distillation
WACV 2025
Disentangling Subjectivity and Uncertainty for Hate Speech Annotation and Modeling using Gaze
EMNLP 2025
Disentangling Tabular Data Towards Better One-Class Anomaly Detection
AAAI 2025
Disentangling Uncertainties by Learning Compressed Data Representation
L4DC 2025
(Dis)improved?! How Simplified Language Affects Large Language Model Performance across Languages
ACL 2025
DisLoRA: Task-specific Low-Rank Adaptation via Orthogonal Basis from Singular Value Decomposition
EMNLP 2025
DispatchQA: A Benchmark for Small Function Calling Language Models in E-Commerce Applications
EMNLP 2025
DiSRT-In-Bed: Diffusion-Based Sim-to-Real Transfer Framework for In-Bed Human Mesh Recovery
CVPR 2025
Dissecting Generalized Category Discovery: Multiplex Consensus under Self-Deconstruction
ICCV 2025