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
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'25
Papers (including subtopics)
DivPrune: Diversity-based Visual Token Pruning for Large Multimodal Models
CVPR 2025
DKC: Differentiated Knowledge Consolidation for Cloth-Hybrid Lifelong Person Re-identification
CVPR 2025
DKDM: Data-Free Knowledge Distillation for Diffusion Models with Any Architecture
CVPR 2025
DKITNLP at ArchEHR-QA 2025: A Retrieval Augmented LLM Pipeline for Evidence-Based Patient Question Answering
ACL 2025
DLF: Disentangled-Language-Focused Multimodal Sentiment Analysis
AAAI 2025
D&M: Enriching E-commerce Videos with Sound Effects by Key Moment Detection and SFX Matching
AAAI 2025
DMPT: Decoupled Modality-Aware Prompt Tuning for Multi-Modal Object Re-Identification
WACV 2025
DMRN: A Dynamical Multi-Order Response Network for the Robust Lung Airway Segmentation
WACV 2025
DnDScore: Decontextualization and Decomposition for Factuality Verification in Long-Form Text Generation
EMNLP 2025
Doc2Chart: Intent-Driven Zero-Shot Chart Generation from Documents
EMNLP 2025
DocFusion: A Unified Framework for Document Parsing Tasks
ACL 2025
DocIE@XLLM25: In-Context Learning for Information Extraction using Fully Synthetic Demonstrations
ACL 2025
DocIE@XLLM25: UIEPrompter: A Unified Training-Free Framework for universal document-level information extraction via Structured Prompt
ACL 2025
DocIE@XLLM25: ZeroSemble - Robust and Efficient Zero-Shot Document Information Extraction with Heterogeneous Large Language Model Ensembles
ACL 2025
DocLayLLM: An Efficient Multi-modal Extension of Large Language Models for Text-rich Document Understanding
CVPR 2025
Docopilot: Improving Multimodal Models for Document-Level Understanding
CVPR 2025
DocSpiral: A Platform for Integrated Assistive Document Annotation through Human-in-the-Spiral
ACL 2025
DocTTT: Test-Time Training for Handwritten Document Recognition using Meta-Auxiliary Learning
WACV 2025
Document Attribution: Examining Citation Relationships using Large Language Models
ACL 2025
Document Segmentation Matters for Retrieval-Augmented Generation
ACL 2025
Does Chain-of-Thought Reasoning Really Reduce Harmfulness from Jailbreaking?
ACL 2025
Does Data Scaling Lead to Visual Compositional Generalization?
ICML 2025
Does GCL Need a Large Number of Negative Samples? Enhancing Graph Contrastive Learning with Effective and Efficient Negative Sampling
AAAI 2025
Does Knowing More Make You Easier to Trick? Adversarial Robustness of Multi-Target Regression
AAAI 2025
Does One-shot Give the Best Shot? Mitigating Model Inconsistency in One-shot Federated Learning
ICML 2025