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)
Weakly Supervised Gland Segmentation with Class Semantic Consistency and Purified Labels Filtration
AAAI 2025
Weakly Supervised Semantic Segmentation via Progressive Confidence Region Expansion
CVPR 2025
Weakly Supervised Temporal Action Localization via Dual-Prior Collaborative Learning Guided by Multimodal Large Language Models
CVPR 2025
WeakMCN: Multi-task Collaborative Network for Weakly Supervised Referring Expression Comprehension and Segmentation
CVPR 2025
WeatherGen: A Unified Diverse Weather Generator for LiDAR Point Clouds via Spider Mamba Diffusion
CVPR 2025
WeaveSeg: Iterative Contrast-weaving and Spectral Feature-refining for Nuclei Instance Segmentation
ICCV 2025
Weaving Context Across Images: Improving Vision-Language Models through Focus-Centric Visual Chains
ACL 2025
Webis at CQs-Gen 2025: Prompting and Reranking for Critical Questions
ACL 2025
WebWalker: Benchmarking LLMs in Web Traversal
ACL 2025
Weight Factorization and Centralization for Continual Learning in Speech Recognition
Interspeech 2025
Weight-of-Thought Reasoning: Exploring Neural Network Weights for Enhanced LLM Reasoning
ACL 2025
We Politely Insist: Your LLM Must Learn the Persian Art of Taarof
EMNLP 2025
WEPO: Web Element Preference Optimization for LLM-based Web Navigation
AAAI 2025
WETBench: A Benchmark for Detecting Task-Specific Machine-Generated Text on Wikipedia
ACL 2025
What are Foundation Models Cooking in the Post-Soviet World?
EMNLP 2025
What Are Step-Level Reward Models Rewarding? Counterintuitive Findings from MCTS-Boosted Mathematical Reasoning
AAAI 2025
What are the Essential Factors in Crafting Effective Long Context Multi-Hop Instruction Datasets? Insights and Best Practices
ACL 2025
What can Large Language Models Capture about Code Functional Equivalence?
NAACL 2025
What Can We Learn From MIMO Graph Convolutions?
IJCAI 2025
What if Othello-Playing Language Models Could See?
EMNLP 2025
What Is That Talk About? A Video-to-Text Summarization Dataset for Scientific Presentations
ACL 2025
What Makes a Good Dataset for Knowledge Distillation?
CVPR 2025
What Makes a Good Reasoning Chain? Uncovering Structural Patterns in Long Chain-of-Thought Reasoning
EMNLP 2025
What Makes for Good Image Captions?
EMNLP 2025
What Matters in Learning from Large-Scale Datasets for Robot Manipulation
ICLR 2025