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)
GMSA: Enhancing Context Compression via Group Merging and Layer Semantic Alignment
ACL 2026
Good Arguments Against the People Pleasers: How Reasoning Mitigates (Yet Masks) LLM Sycophancy
ACL 2026
GorillaWatch: An Automated System for In-the-Wild Gorilla Re-Identification and Population Monitoring
WACV 2026
GPFlow: Gaussian Prototype Probability Flow for Unsupervised Multi-Modal Anomaly Detection
CVPR 2026
Gracefully Air-Written: Enhancing the Legibility and Style Consistency of In-Air Handwriting
AAAI 2026
GRAD: Generalizing RAG Adaptation with Decoding
ACL 2026
Gradient Descenders at SemEval-2026 Task 9: Data-Centric Counterfactual Augmentation for Multi-Label Hate Speech Detection
SemEval 2026
Gradient-Guided Reward Optimization for Inference-time Alignment
UAI 2026
Gradual Uncertainty Refinement via Noise-Driven Curriculum: A Post-Hoc Meta-Model for Robust Uncertainty Quantification
UAI 2026
Graph Contrastive Learning with Low-Rank Regularization and Low-Rank Attention for Noisy Node Classification
UAI 2026
GraPHFormer: A Multimodal Graph Persistent Homology Transformer for the Analysis of Neuroscience Morphologies
CVPR 2026
Graph neural networks extrapolate out-of-distribution for shortest paths
COLT 2026
Graph Reasoning Paradigm: Structured and Symbolic Reasoning with Topology-Aware Reinforcement Learning for Large Language Models
ACL 2026
GraphSynth: Resolving the Diversity-Reliability Trade-off with Probabilistic Factor Graphs
ACL 2026
GraspALL: Adaptive Structural Compensation from Illumination Variation for Robotic Garment Grasping in Any Low-Light Conditions
CVPR 2026
GraspLDP: Towards Generalizable Grasping Policy via Latent Diffusion
CVPR 2026
Grid Distillation: Compositional Image Distillation via Structured Generative Grids
CVPR 2026
GrocLM: Grocery Category Recommendation in E-Commerce with Large Language Models
ACL 2026
Grokked Models are Better Unlearners
UAI 2026
Grounded Chain-of-Thought for Multimodal Large Language Models
CVPR 2026
Grounded Multimodal In-Context Learning for Product Weight Estimation at Scale in E-commerce
ACL 2026
Group Editing: Edit Multiple Images in One Go
CVPR 2026
GRPO-Guard: Mitigating Implicit Over-Optimization in Flow Matching via Regulated Clipping
CVPR 2026
GS-ASM: 2DGS-Supervised Active Stereo Matching
CVPR 2026
GS-CLIP: Zero-shot 3D Anomaly Detection by Geometry-Aware Prompt and Synergistic View Representation Learning
CVPR 2026