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)
AcKnowledge: Acquired Knowledge Representation by Small Language Model Without Pre-training
ACL 2024
A Closer Look at Curriculum Adversarial Training: From an Online Perspective
AAAI 2024
A Closer Look at the CLS Token for Cross-Domain Few-Shot Learning
NeurIPS 2024
A Closer Look at the Few-Shot Adaptation of Large Vision-Language Models
CVPR 2024
A Collocation-based Method for Addressing Challenges in Word-level Metric Differential Privacy
ACL 2024
A Comparison of Language Modeling and Translation as Multilingual Pretraining Objectives
EMNLP 2024
A Comprehensive Augmentation Framework for Anomaly Detection
AAAI 2024
A Comprehensive Study of Jailbreak Attack versus Defense for Large Language Models
ACL 2024
A Computation-Aware Shape Loss Function for Point Cloud Completion
AAAI 2024
A Critical Evaluation of AI Feedback for Aligning Large Language Models
NeurIPS 2024
ACT-Diffusion: Efficient Adversarial Consistency Training for One-step Diffusion Models
CVPR 2024
Action Gaps and Advantages in Continuous-Time Distributional Reinforcement Learning
NeurIPS 2024
Action Imitation in Common Action Space for Customized Action Image Synthesis
NeurIPS 2024
ActiveDC: Distribution Calibration for Active Finetuning
CVPR 2024
Active learning of neural population dynamics using two-photon holographic optogenetics
NeurIPS 2024
Active Listening: Personalized Question Generation in Open-Domain Social Conversation with User Model Based Prompting
EMNLP 2024
Active Object Detection with Knowledge Aggregation and Distillation from Large Models
CVPR 2024
Active Prompt Learning in Vision Language Models
CVPR 2024
Activity-Biometrics: Person Identification from Daily Activities
CVPR 2024
AdaCCD: Adaptive Semantic Contrasts Discovery Based Cross Lingual Adaptation for Code Clone Detection
AAAI 2024
Ada-Instruct: Adapting Instruction Generators for Complex Reasoning
EMNLP 2024
ADAM: Dense Retrieval Distillation with Adaptive Dark Examples
ACL 2024
AdaMoE: Token-Adaptive Routing with Null Experts for Mixture-of-Experts Language Models
EMNLP 2024
AdanCA: Neural Cellular Automata As Adaptors For More Robust Vision Transformer
NeurIPS 2024
AdaNeg: Adaptive Negative Proxy Guided OOD Detection with Vision-Language Models
NeurIPS 2024