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)
From Infusion to Assimilation Distillation for Medical Image Segmentation
CVPR 2026
From Intuition to Investigation: A Tool-Augmented Reasoning MLLM Framework for Generalizable Face Anti-Spoofing
CVPR 2026
From log 𝜋 to 𝜋: Taming Divergence in Soft Clipping via Bilateral Decoupled Decay of Probability Gradient Weight
ACL 2026
From Manuals to Actions: A Unified VLA Model for Chain-of-Thought Manual Generation and Robotic Manipulation
CVPR 2026
From Moves to Paths: A Hierarchical Framework for Trajectory Representation Learning
UAI 2026
From None to All: Self-Supervised 3D Reconstruction via Novel View Synthesis
CVPR 2026
From Observation to Action: Latent Action-based Primitive Segmentation for VLA Pre-training in Industrial Settings
CVPR 2026
From Panel to Pixel: Zoom-In Vision-Language Pretraining from Biomedical Scientific Literature
CVPR 2026
From Past To Path: Masked History Learning for Next-Item Prediction in Generative Recommendation
ACL 2026
From Pixel to Precision: Enhancing Handwritten Mathematical Expression Recognition with Image-Level Reward
CVPR 2026
From Proof to Program: Characterizing Tool-Induced Reasoning Hallucinations in Large Language Models
ACL 2026
From Rays to Projections: Better Inputs for Feed-Forward View Synthesis
CVPR 2026
From Scale to Speed: Adaptive Test-Time Scaling for Image Editing
CVPR 2026
From Selection to Refinement: Iterative Optimization for Instruction Data
ACL 2026
From Selection to Scheduling: Federated Geometry-Aware Correction Makes Exemplar Replay Work Better under Continual Dynamic Heterogeneity
CVPR 2026
From Softmax to Dirichlet: Evidential Learning for Semi-supervised Semantic Segmentation
CVPR 2026
From Sparse to Sense-Grounded: Wikipedia Training for Ukrainian Visual-WSD
CoNLL 2026
From Spots to Pixels: Dense Spatial Gene Expression Prediction from Histology Images
CVPR 2026
From Static to Dynamic: Exploring Self-supervised Image-to-Video Representation Transfer Learning
CVPR 2026
FSLoRA: Harmonizing Detection and Re-Identification via Freq-Spatial Low-Rank Adapter for One-Stage Person Search
CVPR 2026
Fuel Gauge: Estimating Chain-of-Thought Length Ahead of Time in Large Multimodal Models
CVPR 2026
Functional Mean Flow in Hilbert Space
CVPR 2026
FunnyBorg at SemEval-2026 Task 1: Humor Generation
SemEval 2026
Fusion in Your Way: Aligning Image Fusion with Heterogeneous Demands via Direct Preference Optimization
CVPR 2026
Fusion Training for Mathematical Generalization in Large Language Models
ACL 2026