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)
Online Dense Point Tracking with Streaming Memory
ICCV 2025
Online Iterative Self-Alignment for Radiology Report Generation
ACL 2025
Online Language Splatting
ICCV 2025
Online Video Understanding: OVBench and VideoChat-Online
CVPR 2025
On Local Overfitting and Forgetting in Deep Neural Networks
AAAI 2025
On Oversquashing in Graph Neural Networks Through the Lens of Dynamical Systems
AAAI 2025
On Support Samples of Next Word Prediction
ACL 2025
On Synthesizing Data for Context Attribution in Question Answering
ACL 2025
On Synthetic Data Strategies for Domain-Specific Generative Retrieval
ACL 2025
On the Acquisition of Shared Grammatical Representations in Bilingual Language Models
ACL 2025
On the Consideration of AI Openness: Can Good Intent Be Abused?
AAAI 2025
On the Convergence of Locally Adaptive and Scalable Diffusion-Based Sampling Methods for Deep Bayesian Neural Network Posteriors
AISTATS 2025
On the Correspondence between the Squared Norm and Information Content in Text Embeddings
EMNLP 2025
On-the-fly Routing for Zero-shot MoE Speaker Adaptation of Speech Foundation Models for Dysarthric Speech Recognition
Interspeech 2025
On the Identifiability of Causal Abstractions
AISTATS 2025
On the Importance of Embedding Norms in Self-Supervised Learning
ICML 2025
On the Importance of Gaussianizing Representations
ICML 2025
On the Local Complexity of Linear Regions in Deep ReLU Networks
ICML 2025
On the Perception Bottleneck of VLMs for Chart Understanding
EMNLP 2025
On the Power of Adaptive Weighted Aggregation in Heterogeneous Federated Learning and Beyond
AISTATS 2025
On the Power of Convolution-Augmented Transformer
AAAI 2025
On the Power of Multitask Representation Learning with Gradient Descent
AISTATS 2025
On the Relationship between Accent Strength and Articulatory Features
Interspeech 2025
On the Relevance of Clinical Assessment Tasks for the Automatic Detection of Parkinson’s Disease Medication State from Speech
Interspeech 2025
On the reliability of feature attribution methods for speech classification
Interspeech 2025