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)
Do Your Best and Get Enough Rest for Continual Learning
CVPR 2025
DPA: Dual Prototypes Alignment for Unsupervised Adaptation of Vision-Language Models
WACV 2025
DPC: Dual-Prompt Collaboration for Tuning Vision-Language Models
CVPR 2025
DPCL-Diff:Temporal Knowledge Graph Reasoning Based on Graph Node Diffusion Model with Dual-Domain Periodic Contrastive Learning
AAAI 2025
DPED: Multi-Layer Noise Distillation for Privacy-Preserving Text Embeddings
EMNLP 2025
DPFlow: Adaptive Optical Flow Estimation with a Dual-Pyramid Framework
CVPR 2025
DP-GTR: Differentially Private Prompt Protection via Group Text Rewriting
EMNLP 2025
DRAE: Dynamic Retrieval-Augmented Expert Networks for Lifelong Learning and Task Adaptation in Robotics
ACL 2025
D-RAG: Differentiable Retrieval-Augmented Generation for Knowledge Graph Question Answering
EMNLP 2025
DRAG: Distilling RAG for SLMs from LLMs to Transfer Knowledge and Mitigate Hallucination via Evidence and Graph-based Distillation
ACL 2025
DRAMA: Diverse Augmentation from Large Language Models to Smaller Dense Retrievers
ACL 2025
DreamAlign: Dynamic Text-to-3D Optimization with Human Preference Alignment
AAAI 2025
DreamRelation: Relation-Centric Video Customization
ICCV 2025
Dream to Manipulate: Compositional World Models Empowering Robot Imitation Learning with Imagination
ICLR 2025
Dream-to-Recon: Monocular 3D Reconstruction with Diffusion-Depth Distillation from Single Images
ICCV 2025
DRI-GAN: A Novel Dual Real Input GAN with Triplet Loss for Cross-Lingual and Noisy SLU
Interspeech 2025
DriveX: Omni Scene Modeling for Learning Generalizable World Knowledge in Autonomous Driving
ICCV 2025
Driving in the Occupancy World: Vision-Centric 4D Occupancy Forecasting and Planning via World Models for Autonomous Driving
AAAI 2025
DrKGC: Dynamic Subgraph Retrieval-Augmented LLMs for Knowledge Graph Completion across General and Biomedical Domains
EMNLP 2025
Dropout Connects Transformers and CNNs: Transfer General Knowledge for Knowledge Distillation
WACV 2025
DrugHash: Hashing Based Contrastive Learning for Virtual Screening
AAAI 2025
DRUM: Learning Demonstration Retriever for Large MUlti-modal Models
ACL 2025
DrVideo: Document Retrieval Based Long Video Understanding
CVPR 2025
DS-Codec: Dual-Stage Training with Mirror-to-NonMirror Architecture Switching for Speech Codec
Interspeech 2025
DSLNLP@NLU of Devanagari Script Languages 2025: Leveraging BERT-based Architectures for Language Identification, Hate Speech Detection and Target Classification
COLING 2025