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)
Enhancing Reinforcement Learning with Dense Rewards from Language Model Critic
EMNLP 2024
Enhancing Robustness in Deep Reinforcement Learning: A Lyapunov Exponent Approach
NeurIPS 2024
Enhancing Robustness of Graph Neural Networks on Social Media with Explainable Inverse Reinforcement Learning
NeurIPS 2024
Enhancing Self-Attention via Knowledge Fusion: Deriving Sentiment Lexical Attention from Semantic-Polarity Scores
NAACL 2024
Enhancing Short-Text Topic Modeling with LLM-Driven Context Expansion and Prefix-Tuned VAEs
EMNLP 2024
Enhancing Systematic Decompositional Natural Language Inference Using Informal Logic
EMNLP 2024
Enhancing the Power of OOD Detection via Sample-Aware Model Selection
CVPR 2024
Enhancing the Robustness of Spiking Neural Networks with Stochastic Gating Mechanisms
AAAI 2024
Enhancing Tool Retrieval with Iterative Feedback from Large Language Models
EMNLP 2024
Enhancing Trajectory Prediction through Self-Supervised Waypoint Distortion Prediction
ICML 2024
Enhancing Vision-Language Pre-training with Rich Supervisions
CVPR 2024
Enhancing Visual Continual Learning with Language-Guided Supervision
CVPR 2024
Enhancing Zero-Shot Multi-Speaker TTS with Negated Speaker Representations
AAAI 2024
EnOF-SNN: Training Accurate Spiking Neural Networks via Enhancing the Output Feature
NeurIPS 2024
Enriching Disentanglement: From Logical Definitions to Quantitative Metrics
NeurIPS 2024
Entangled View-Epipolar Information Aggregation for Generalizable Neural Radiance Fields
CVPR 2024
EntProp: High Entropy Propagation for Improving Accuracy and Robustness
UAI 2024
EPIC: Effective Prompting for Imbalanced-Class Data Synthesis in Tabular Data Classification via Large Language Models
NeurIPS 2024
EPIC: Graph Augmentation with Edit Path Interpolation via Learnable Cost
IJCAI 2024
EPO: Hierarchical LLM Agents with Environment Preference Optimization
EMNLP 2024
EPSD: Early Pruning with Self-Distillation for Efficient Model Compression
AAAI 2024
EquiAV: Leveraging Equivariance for Audio-Visual Contrastive Learning
ICML 2024
Equivariant Multi-Modality Image Fusion
CVPR 2024
ERMVP: Communication-Efficient and Collaboration-Robust Multi-Vehicle Perception in Challenging Environments
CVPR 2024
Error Analysis of Multilingual Language Models in Machine Translation: A Case Study of English-Amharic Translation
EMNLP 2024