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 Global Controller in Latent Space for Parameter-Efficient Fine-Tuning
ACL 2024
Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language Models
AAAI 2024
Learning Hierarchical World Models with Adaptive Temporal Abstractions from Discrete Latent Dynamics
ICLR 2024
Learning Human-like Representations to Enable Learning Human Values
NeurIPS 2024
Learning Hybrid Dynamics Models with Simulator-Informed Latent States
AAAI 2024
Learning Infinitesimal Generators of Continuous Symmetries from Data
NeurIPS 2024
Learning Intra-Class Multimodal Distributions With Orthonormal Matrices
WACV 2024
Learning Intra-view and Cross-view Geometric Knowledge for Stereo Matching
CVPR 2024
Learning Modality Knowledge Alignment for Cross-Modality Transfer
ICML 2024
Learning Multimodal Behaviors from Scratch with Diffusion Policy Gradient
NeurIPS 2024
Learning Multimodal Volumetric Features for Large-Scale Neuron Tracing
AAAI 2024
Learning Multi-Scale Video-Text Correspondence for Weakly Supervised Temporal Article Gronding
AAAI 2024
Learning multivariate temporal point processes via the time-change theorem
AISTATS 2024
Learning Musical Representations for Music Performance Question Answering
EMNLP 2024
Learning New Tasks from a Few Examples with Soft-Label Prototypes
ACL 2024
Learning Object State Changes in Videos: An Open-World Perspective
CVPR 2024
Learning Optimal Projection for Forecast Reconciliation of Hierarchical Time Series
ICML 2024
Learning or Self-aligning? Rethinking Instruction Fine-tuning
ACL 2024
Learning Persistent Community Structures in Dynamic Networks via Topological Data Analysis
AAAI 2024
Learning predictable and robust neural representations by straightening image sequences
NeurIPS 2024
Learning Quality Labels for Robust Image Classification
WACV 2024
Learning Real-World Image De-weathering with Imperfect Supervision
AAAI 2024
Learning Representation for Multitask Learning through Self-Supervised Auxiliary Learning
ECCV 2024
Learning Representations for Robust Human-Robot Interaction
AAAI 2024
Learning Robust Deep Visual Representations From EEG Brain Recordings
WACV 2024