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)
Task-aware Contrastive Mixture of Experts for Quadruple Extraction in Conversations with Code-like Replies and Non-opinion Detection
EMNLP 2025
Task-Aware Prompt Gradient Projection for Parameter-Efficient Tuning Federated Class-Incremental Learning
ICCV 2025
Task Calibration: Calibrating Large Language Models on Inference Tasks
ACL 2025
Task-driven Image Fusion with Learnable Fusion Loss
CVPR 2025
Task Facet Learning: A Structured Approach To Prompt Optimization
ACL 2025
TaskGalaxy: Scaling Multi-modal Instruction Fine-tuning with Tens of Thousands Vision Task Types
ICLR 2025
taskGen at TSAR 2025 Shared Task Exploring prompt strategies with linguistic knowledge
EMNLP 2025
Task-Informed Anti-Curriculum by Masking Improves Downstream Performance on Text
ACL 2025
Task Knowledge Injection via Interpolations and Reinstatement for Large Language Model Generalization
ACL 2025
Task-level Distributionally Robust Optimization for Large Language Model-based Dense Retrieval
AAAI 2025
Task-Oriented Dialog Systems for the Senegalese Wolof Language
COLING 2025
Task-Specific Information Decomposition for End-to-End Dense Video Captioning
ACL 2025
Task-Specific Preconditioner for Cross-Domain Few-Shot Learning
AAAI 2025
Task-Specific Zero-shot Quantization-Aware Training for Object Detection
ICCV 2025
Task-wrapped Continual Learning in Task-Oriented Dialogue Systems
NAACL 2025
TASO: Task-Aligned Sparse Optimization for Parameter-Efficient Model Adaptation
EMNLP 2025
Taste More, Taste Better: Diverse Data and Strong Model Boost Semi-Supervised Crowd Counting
CVPR 2025
TAViS: Text-bridged Audio-Visual Segmentation with Foundation Models
ICCV 2025
TaxaBind: A Unified Embedding Space for Ecological Applications
WACV 2025
TaxaDiffusion: Progressively Trained Diffusion Model for Fine-Grained Species Generation
ICCV 2025
TaxoAdapt: Aligning LLM-Based Multidimensional Taxonomy Construction to Evolving Research Corpora
ACL 2025
Taxonomy-Driven Knowledge Graph Construction for Domain-Specific Scientific Applications
ACL 2025
Taylor Series-Inspired Local Structure Fitting Network for Few-shot Point Cloud Semantic Segmentation
AAAI 2025
TBA at BEA 2025 Shared Task: Transfer-Learning from DARE-TIES Merged Models for the Pedagogical Ability Assessment of LLM-Powered Math Tutors
ACL 2025
TB-HSU: Hierarchical 3D Scene Understanding with Contextual Affordances
AAAI 2025