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)
Disguise without Disruption: Utility-Preserving Face De-identification
AAAI 2024
Disperse-Then-Merge: Pushing the Limits of Instruction Tuning via Alignment Tax Reduction
ACL 2024
DISP-LLM: Dimension-Independent Structural Pruning for Large Language Models
NeurIPS 2024
Dissecting the Failure of Invariant Learning on Graphs
NeurIPS 2024
Distance-aware Calibration for Pre-trained Language Models
EMNLP 2024
Distillation Enhanced Generative Retrieval
ACL 2024
Distilling Autoregressive Models to Obtain High-Performance Non-autoregressive Solvers for Vehicle Routing Problems with Faster Inference Speed
AAAI 2024
Distilling Instruction-following Abilities of Large Language Models with Task-aware Curriculum Planning
EMNLP 2024
Distilling Semantic Priors from SAM to Efficient Image Restoration Models
CVPR 2024
Distilling Vision-Language Models on Millions of Videos
CVPR 2024
DistillMIKE: Editing Distillation of Massive In-Context Knowledge Editing in Large Language Models
ACL 2024
DistillNeRF: Perceiving 3D Scenes from Single-Glance Images by Distilling Neural Fields and Foundation Model Features
NeurIPS 2024
DistilVPR: Cross-Modal Knowledge Distillation for Visual Place Recognition
AAAI 2024
Distraction is All You Need: Memory-Efficient Image Immunization against Diffusion-Based Image Editing
CVPR 2024
Distributional Properties of Subword Regularization
EMNLP 2024
Distribution-aware Knowledge Prototyping for Non-exemplar Lifelong Person Re-identification
CVPR 2024
Distribution Matching for Multi-Task Learning of Classification Tasks: A Large-Scale Study on Faces & Beyond
AAAI 2024
DITTO: Dual and Integrated Latent Topologies for Implicit 3D Reconstruction
CVPR 2024
DittoGym: Learning to Control Soft Shape-Shifting Robots
ICLR 2024
DIUSum: Dynamic Image Utilization for Multimodal Summarization
AAAI 2024
DI-V2X: Learning Domain-Invariant Representation for Vehicle-Infrastructure Collaborative 3D Object Detection
AAAI 2024
DiVa-360: The Dynamic Visual Dataset for Immersive Neural Fields
CVPR 2024
DiverGen: Improving Instance Segmentation by Learning Wider Data Distribution with More Diverse Generative Data
CVPR 2024
Diverse and Aligned Audio-to-Video Generation via Text-to-Video Model Adaptation
AAAI 2024
Diverse and Effective Synthetic Data Generation for Adaptable Zero-Shot Dialogue State Tracking
EMNLP 2024