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)
Learning to Look at the Other Side: A Semantic Probing Study of Word Embeddings in LLMs with Enabled Bidirectional Attention
ACL 2025
Learning to Quantize for Training Vector-Quantized Networks
ICML 2025
Learning to Reason from Feedback at Test-Time
ACL 2025
Learning to Reason Over Time: Timeline Self-Reflection for Improved Temporal Reasoning in Language Models
ACL 2025
Learning to Rewind via Iterative Prediction of Past Weights for Practical Unlearning
AAAI 2025
Learning to Rewrite: Generalized LLM-Generated Text Detection
ACL 2025
Learning to Sample Effective and Diverse Prompts for Text-to-Image Generation
CVPR 2025
Learning to vary: Teaching LMs to reproduce human linguistic variability in next-word prediction
EMNLP 2025
Learning to Visually Connect Actions and their Effects
WACV 2025
Learning Trajectories of Figurative Language for Pre-Trained Language Models
EMNLP 2025
Learning View-invariant World Models for Visual Robotic Manipulation
ICLR 2025
Learning Vision and Language Concepts for Controllable Image Generation
ICML 2025
Learning Visual Generative Priors without Text
CVPR 2025
Learning Visual-Semantic Hierarchical Attribute Space for Interpretable Open-Set Recognition
WACV 2025
Learning Visual-Semantic Subspace Representations
AISTATS 2025
Learning Word Embeddings from Glosses: A Multi-Loss Framework for Arabic Reverse Dictionary Tasks
EMNLP 2025
Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement
ICCV 2025
Learn to Memorize: Scalable Continual Learning in Semiparametric Models with Mixture-of-Neighbors Induction Memory
ACL 2025
Learnware Specification via Label-Aware Neural Embedding
AAAI 2025
LEAVES: Learning Views for Time-Series Biobehavioral Data in Contrastive Learning
MLHC 2025
LED-Merging: Mitigating Safety-Utility Conflicts in Model Merging with Location-Election-Disjoint
ACL 2025
Legitimate ground-truth-free metrics for deep uncertainty classification scoring
AISTATS 2025
LegoSLM: Connecting LLM with Speech Encoder using CTC Posteriors
EMNLP 2025
Lemmatisation & Morphological Analysis of Unedited Greek: Do Simple Tasks Need Complex Solutions?
ACL 2025
LEMoN: Label Error Detection using Multimodal Neighbors
ICML 2025