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)
FVAR: Next-Focus Prediction for Visual Autoregressive Modeling
CVPR 2026
Gamba: Mamba-based graph convolutional network with dynamic graph topology learning for action recognition
CVPR 2026
Garments2Look: A Multi-Reference Dataset for High-Fidelity Outfit-Level Virtual Try-On with Clothing and Accessories
CVPR 2026
Gated Condition Injection without Multimodal Attention: Towards Controllable Linear-Attention Transformers
CVPR 2026
Gated KalmaNet: A Fading Memory Layer through Test-time Ridge Regression
CVPR 2026
Gau-Occ: Geometry-Completed Gaussians for Multi-Modal 3D Occupancy Prediction
CVPR 2026
Gaussian Graphical Learning via PSD Constraint for Blockwise Missing Multimodal Data
UAI 2026
GaussianVision: Vision-Language Alignment from Compressed Image Representations using 2D Gaussian Splatting
CVPR 2026
GazeShift: Unsupervised Gaze Estimation and Dataset for VR
CVPR 2026
GDPO-SR: Group Direct Preference Optimization for One-Step Generative Image Super-Resolution
CVPR 2026
GDRO: Group-level Reward Post-training Suitable for Diffusion Models
CVPR 2026
GeCo: Geometry-Consistent Regularization for Domain Generalized Semantic Segmentation
CVPR 2026
GeCo-SRT: Geometry-aware Continual Adaptation for Cross-Task Sim-to-Real Transfer
CVPR 2026
GEMCONT: Genetics-based Multimodal Contrastive Learning Enhances Phenotypic embeddings and Boosts Genetic Discovery
MIDL 2026
GEM-TFL: Bridging Weak and Full Supervision for Forgery Localization through EM-Guided Decomposition and Temporal Refinement
CVPR 2026
GenBreak: Red Teaming Text-to-Image Generation Using Large Language Models
CVPR 2026
GenDis: Generative-Discriminative Dual-View Co-Training for Generalized Category Discovery
ACL 2026
Generalizable Co-Salient Object Detection via Mixed Content-Style Modulation
CVPR 2026
Generalizable Knowledge Distillation from Vision Foundation Models for Semantic Segmentation
CVPR 2026
Generalizable Sparse-View 3D Reconstruction from Unconstrained Images
CVPR 2026
Generalizing Abstention for Noise-Robust Learning in Medical Image Segmentation
MIDL 2026
Generative Modeling of Weights: Generalization or Memorization?
CVPR 2026
Generative Point Tracking and Forecasting
CVPR 2026
Generative Video Compression with One-Dimensional Latent Representation
CVPR 2026
GenesisFunc: Multi-Agent Data Generation for Accurate and Generalizable Function-Calling
ACL 2026