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)
Variance-Aware Linear UCB with Deep Representation for Neural Contextual Bandits
AISTATS 2025
Variance-Based Membership Inference Attacks Against Large-Scale Image Captioning Models
CVPR 2025
Variational Rectified Flow Matching
ICML 2025
Variational Schrödinger Momentum Diffusion
AISTATS 2025
Variation Due to Regularization Tractably Recovers Bayesian Deep Learning Uncertainty
AISTATS 2025
VC4VG: Optimizing Video Captions for Text-to-Video Generation
EMNLP 2025
VCA: Video Curious Agent for Long Video Understanding
ICCV 2025
VCD: A Dataset for Visual Commonsense Discovery in Images
ACL 2025
v-CLR: View-Consistent Learning for Open-World Instance Segmentation
CVPR 2025
VCRMNER: Visual Cue Refinement in Multimodal NER using CLIP Prompts
COLING 2025
VDocRAG: Retrieval-Augmented Generation over Visually-Rich Documents
CVPR 2025
Vector Contrastive Learning For Pixel-Wise Pretraining In Medical Vision
ICCV 2025
VehicleMAE: View-asymmetry Mutual Learning for Vehicle Re-identification Pre-training via Masked AutoEncoders
ICCV 2025
VEHME: A Vision-Language Model For Evaluating Handwritten Mathematics Expressions
EMNLP 2025
VELA: An LLM-Hybrid-as-a-Judge Approach for Evaluating Long Image Captions
EMNLP 2025
VENUS: A VLLM-driven Video Content Discovery System for Real Application Scenarios
EMNLP 2025
VERA: Explainable Video Anomaly Detection via Verbalized Learning of Vision-Language Models
CVPR 2025
VerbaNexAI at SemEval-2025 Task 2: Enhancing Entity-Aware Translation with Wikidata-Enriched MarianMT
SemEval 2025
VerbaNexAI at SemEval-2025 Task 3: Fact Retrieval with Google Snippets for LLM Context Filtering to identify Hallucinations
SemEval 2025
VeReaFine: Iterative Verification Reasoning Refinement RAG for Hallucination-Resistant on Open-Ended Clinical QA
ACL 2025
VerIF: Verification Engineering for Reinforcement Learning in Instruction Following
EMNLP 2025
VeriLocc: End-to-End Cross-Architecture Register Allocation via LLM
EMNLP 2025
VERITAS: Leveraging Vision Priors and Expert Fusion to Improve Multimodal Data
EMNLP 2025
VERO: Verification and Zero-Shot Feedback Acquisition for Few-Shot Multimodal Aspect-Level Sentiment Classification
AAAI 2025
VersaGen: Unleashing Versatile Visual Control for Text-to-Image Synthesis
AAAI 2025