Learning Types
32,670 papers (1 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Representation Learning (5,307)
Multimodal Learning (3,969)
Self-Supervised Learning (3,492)
Transfer Learning (2,890)
Adversarial Learning (2,199)
Deep Learning (1,883)
Contrastive Learning (1,730)
Reinforcement Learning (1,500)
Knowledge Distillation (1,494)
Fine-Tuning (1,117)
Multi-Task Learning (1,069)
Domain Adaptation (977)
Zero-Shot Learning (758)
Unsupervised Learning (734)
Few-Shot Learning (694)
Classification (621)
Retrieval-Augmented Generation (606)
Data Augmentation (583)
Semi-Supervised Learning (450)
Weakly Supervised Learning (429)
Continual Learning (408)
In-Context Learning (387)
Sequence Modeling (375)
Meta-Learning (252)
Metric Learning (232)
Ensemble Learning (223)
Federated Learning (215)
Multi-Lingual Learning (199)
Robustness (197)
Parameter-Efficient Fine-Tuning (190)
Imitation Learning (180)
Prompt Engineering (170)
Chain-of-Thought Reasoning (153)
Curriculum Learning (146)
Synthetic Data Generation (143)
Reinforcement Learning from Human Feedback (141)
Multi-Label Classification (123)
Regression (117)
Generative Model (109)
Semantic Segmentation (106)
Domain Generalization (105)
Uncertainty Quantification (98)
Controllable Generation (93)
Text Generation (86)
Neural Architecture Search (80)
Object Detection (80)
Image Generation (79)
Multi-Agent Systems (76)
Feature Learning (74)
Preference Learning (73)
Machine Translation (71)
Out-of-Distribution Detection (68)
Machine Unlearning (63)
Generation (61)
Reasoning (54)
Multi-View Learning (53)
Time Series (52)
Instruction Tuning (50)
Distributed Learning (50)
Image Restoration (49)
Chain-of-Thought (48)
Active Learning (47)
Text Classification (43)
Distribution Shift (43)
Structured Prediction (42)
Clustering (41)
Image Classification (40)
Model Merging (37)
Sparse Learning (36)
Sequence Labeling (36)
Multi-Instance Learning (35)
Anomaly Detection (33)
Image Processing (33)
Code Generation (31)
Fairness (30)
Robust Learning (28)
Multi-Domain Learning (27)
Supervised Learning (26)
Model-Based RL (25)
Natural Language Generation (24)
Privacy (21)
Multi-Objective Optimization (19)
Multi-Scale Learning (19)
Neural Machine Translation (18)
Causal Inference (14)
Instance Segmentation (9)
Interactive Learning (9)
Multi-Label Learning (9)
Multi-Source Learning (9)
Multi-Class Classification (8)
Papers per year
1
22
25
29
26
38
46
60
109
129
179
310
686
1,294
2,286
3,018
3,254
3,930
4,067
4,819
5,737
2,605
'10
'15
'20
'25
Papers (including subtopics)
TAR: Token-Aware Refinement for Fine-grained Generalized Category Discovery
CVPR 2026
Task-Conditioned 3D U-Nets via Hypernetworks for Data-Scarce Medical Segmentation
MIDL 2026
TaskForce: Cooperative Multi-agent Reinforcement Learning for Multi-task Optimization
CVPR 2026
Task-Free Continual Learning via Order-Invariant Linearized Adaptation and Density-Guided Adapter Routing
UAI 2026
TaskIT: Memory-Efficient Fine-Tuning of Multi-LoRA LLMs via Cross-Task Importance Transfer
CVPR 2026
Task-Oriented Data Synthesis and Control-Rectify Sampling for Remote Sensing Semantic Segmentation
CVPR 2026
TAS-LoRA: Transformer Architecture Search with Mixture-of-LoRA Experts
CVPR 2026
Taxonomy-Aware Representation Alignment for Hierarchical Visual Recognition with Large Multimodal Models
CVPR 2026
Tea-Adapter: Teacher Adapter for Efficient Conditional Generation
CVPR 2026
Teach a Reward Model to Correct Itself: Reward Guided Adversarial Failure Discovery for Robust Reward Modeling
ACL 2026
Teacher-Guided Routing for Sparse Vision Mixture-of-Experts
CVPR 2026
Teaching DINOv3 About Partial 3D Geometry: A Self-Supervised Geometry-Aware Approach
CVPR 2026
Teaching Language Models to Check Grounded Claim Factuality with Human Test-Taking Strategies
ACL 2026
Team-Based Self-Play With Dual Adaptive Weighting for Fine-Tuning LLMs
ACL 2026
Team Duo at SemEval-2026 Task 13: Fine-tuning CodeBERT for Out-of-Distribution AI-Generated Code Detection
SemEval 2026
Team ewelinaksiez at SemEval-2026 Task 11: Reducing Content Bias in Syllogistic Reasoning via Semantic Abstraction
SemEval 2026
Team faisalm3at SemEval-2026 Task 3: From Standard Regression to Distributional Alignment in Dimensional Sentiment Analysis
SemEval 2026
Team HausaNLP at SemEval-2026 Task 4: Narratives via Semantic Embeddings
SemEval 2026
Team HITS at SemEval-2026 Task 4:Enhancing narrative text embedding model training with hard negatives generation and self-distillation
SemEval 2026
Team hugang11 at SemEval-2026 Task 1, Subtask A (Chinese): A CoT-SFT, Teacher-Constructed DPO, and Deterministic Post-processing Pipeline for Humor Generation
SemEval 2026
Team JAT at SemEval-2026 Task 9: Enhancing Polarization Detection with Cross-Lingual Transfer and Feature Fusion
SemEval 2026
TeamOmega at SemEval-2026 Task 13: Frozen vs. Trainable Representations for Out-of-Distribution AI-Generated Code Detection: A CodeBERT Fine-Tuning Study
SemEval 2026
Team TüLK at SemEval-2026 Task 1: Humor Generation with Qwen and Group Relative Policy Optimization
SemEval 2026
Team Vivek Dhayaal at SemEval-2026 Task 13 Subtask B: Multi-Class Authorship Detection
SemEval 2026
Team VYN at SemEval-2026 Task 3: Dimensional Aspect-Based Sentiment Analysis
SemEval 2026