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)
LiDAR-Aug: A General Rendering-Based Augmentation Framework for 3D Object Detection
CVPR 2021
Light Field Super-Resolution With Zero-Shot Learning
CVPR 2021
Lightweight Adapter Tuning for Multilingual Speech Translation
ACL 2021
Lightweight Cross-Lingual Sentence Representation Learning
ACL 2021
LightXML: Transformer with Dynamic Negative Sampling for High-Performance Extreme Multi-label Text Classification
AAAI 2021
Limitations of Knowledge Distillation for Zero-shot Transfer Learning
EMNLP 2021
Limited Data Emotional Voice Conversion Leveraging Text-to-Speech: Two-Stage Sequence-to-Sequence Training
Interspeech 2021
Linear Convergence in Federated Learning: Tackling Client Heterogeneity and Sparse Gradients
NeurIPS 2021
Linear Semantics in Generative Adversarial Networks
CVPR 2021
Lipschitz Continuity Guided Knowledge Distillation
ICCV 2021
Lipschitz Lifelong Reinforcement Learning
AAAI 2021
Lips Don't Lie: A Generalisable and Robust Approach To Face Forgery Detection
CVPR 2021
LipSync3D: Data-Efficient Learning of Personalized 3D Talking Faces From Video Using Pose and Lighting Normalization
CVPR 2021
LIREx: Augmenting Language Inference with Relevant Explanations
AAAI 2021
LLC: Accurate, Multi-purpose Learnt Low-dimensional Binary Codes
NeurIPS 2021
LMSOC: An Approach for Socially Sensitive Pretraining
EMNLP 2021
Local Aggressive Adversarial Attacks on 3D Point Cloud
ACML 2021
Local Convergence Analysis of Gradient Descent Ascent with Finite Timescale Separation
ICLR 2021
Local Disentanglement in Variational Auto-Encoders Using Jacobian L_1 Regularization
NeurIPS 2021
LocalGAN: Modeling Local Distributions for Adversarial Response Generation
JMLR 2021
Locality Preserving Sentence Encoding
EMNLP 2021
Localizing Visual Sounds the Hard Way
CVPR 2021
Locally Adaptive Label Smoothing Improves Predictive Churn
ICML 2021
Locally Free Weight Sharing for Network Width Search
ICLR 2021
Local Relation Learning for Face Forgery Detection
AAAI 2021