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)
Dwell in the Beginning: How Language Models Embed Long Documents for Dense Retrieval
ACL 2024
Dynamic Adapter Meets Prompt Tuning: Parameter-Efficient Transfer Learning for Point Cloud Analysis
CVPR 2024
DynamicER: Resolving Emerging Mentions to Dynamic Entities for RAG
EMNLP 2024
Dynamic Feature Pruning and Consolidation for Occluded Person Re-identification
AAAI 2024
Dynamic Inter-treatment Information Sharing for Individualized Treatment Effects Estimation
AISTATS 2024
Dynamic Layer Tying for Parameter-Efficient Transformers
ICLR 2024
Dynamic Multi-Reward Weighting for Multi-Style Controllable Generation
EMNLP 2024
Dynamic Neural Regeneration: Enhancing Deep Learning Generalization on Small Datasets
NeurIPS 2024
Dynamic Policy-Driven Adaptive Multi-Instance Learning for Whole Slide Image Classification
CVPR 2024
Dynamic Rewarding with Prompt Optimization Enables Tuning-free Self-Alignment of Language Models
EMNLP 2024
Dynamics-Informed Protein Design with Structure Conditioning
ICLR 2024
Dynamic Spiking Graph Neural Networks
AAAI 2024
Dynamic Sub-graph Distillation for Robust Semi-supervised Continual Learning
AAAI 2024
Dynamic Weighted Combiner for Mixed-Modal Image Retrieval
AAAI 2024
DynaMo: In-Domain Dynamics Pretraining for Visuo-Motor Control
NeurIPS 2024
DynaSemble: Dynamic Ensembling of Textual and Structure-Based Models for Knowledge Graph Completion
ACL 2024
DynaThink: Fast or Slow? A Dynamic Decision-Making Framework for Large Language Models
EMNLP 2024
DYSON: Dynamic Feature Space Self-Organization for Online Task-Free Class Incremental Learning
CVPR 2024
E2E-MFD: Towards End-to-End Synchronous Multimodal Fusion Detection
NeurIPS 2024
E2HQV: High-Quality Video Generation from Event Camera via Theory-Inspired Model-Aided Deep Learning
AAAI 2024
E3M: Zero-Shot Spatio-Temporal Video Grounding with Expectation-Maximization Multimodal Modulation
ECCV 2024
EAGLE: Eigen Aggregation Learning for Object-Centric Unsupervised Semantic Segmentation
CVPR 2024
Early Detection of Extreme Storm Tide Events Using Multimodal Data Processing
AAAI 2024
Earthfarsser: Versatile Spatio-Temporal Dynamical Systems Modeling in One Model
AAAI 2024
EarthLoc: Astronaut Photography Localization by Indexing Earth from Space
CVPR 2024