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)
Large-Scale Object Detection in the Wild From Imbalanced Multi-Labels
CVPR 2020
Large Scale Video Representation Learning via Relational Graph Clustering
CVPR 2020
LatentFusion: End-to-End Differentiable Reconstruction and Rendering for Unseen Object Pose Estimation
CVPR 2020
Latent Opinions Transfer Network for Target-Oriented Opinion Words Extraction
AAAI 2020
Latent Relation Language Models
AAAI 2020
Latent World Models For Intrinsically Motivated Exploration
NeurIPS 2020
LatRec: Recognizing Goals in Latent Space (Student Abstract)
AAAI 2020
Laughter Synthesis: Combining Seq2seq Modeling with Transfer Learning
Interspeech 2020
Layout-Aware Text Representations Harm Clustering Documents by Type
EMNLP 2020
Leakage-Adjusted Simulatability: Can Models Generate Non-Trivial Explanations of Their Behavior in Natural Language?
EMNLP 2020
Leakage-Robust Classifier via Mask-Enhanced Training (Student Abstract)
AAAI 2020
Learn2Perturb: An End-to-End Feature Perturbation Learning to Improve Adversarial Robustness
CVPR 2020
Learn a Global Appearance Semi-Supervisedly for Synthesizing Person Images
WACV 2020
Learned Video Compression via Joint Spatial-Temporal Correlation Exploration
AAAI 2020
Learning a Dynamic Map of Visual Appearance
CVPR 2020
Learning Agent Communication under Limited Bandwidth by Message Pruning
AAAI 2020
Learning Agile Robotic Locomotion Skills by Imitating Animals
RSS 2020
Learning a Multi-Domain Curriculum for Neural Machine Translation
ACL 2020
Learning a Neural Solver for Multiple Object Tracking
CVPR 2020
Learning Architectures from an Extended Search Space for Language Modeling
ACL 2020
Learning a Reinforced Agent for Flexible Exposure Bracketing Selection
CVPR 2020
Learning a Simple and Effective Model for Multi-turn Response Generation with Auxiliary Tasks
EMNLP 2020
Learning Attentive Pairwise Interaction for Fine-Grained Classification
AAAI 2020
Learning Augmentation Network via Influence Functions
CVPR 2020
Learning a Unified Sample Weighting Network for Object Detection
CVPR 2020