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)
Free-Grained Hierarchical Visual Recognition
CVPR 2026
Free-Lunch Long Video Generation via Layer-Adaptive O.O.D Correction
CVPR 2026
FreeScale: Scaling 3D Scenes via Certainty-Aware Free-View Generation
CVPR 2026
FreqSIC: Frequency-aware Stereo Image Compression with Bi-directional Checkerboard Context Model
CVPR 2026
Frequency-Aware Affinity for Weakly Supervised Semantic Segmentation
CVPR 2026
From 1,000,000 Users to Every User: Scaling Up Personalized Preference for User-level Alignment
ACL 2026
From "Aha Moments" to Controllable Thinking: Toward Meta-Cognitive Reasoning in LRMs via Decoupled Reasoning and Control
ACL 2026
From Answers to Arguments: Toward Trustworthy Clinical Diagnostic Reasoning with Toulmin-Guided Curriculum Goal-Conditioned Learning
ACL 2026
From Attraction to Equilibrium: Physics-Inspired Semantic Gravitons for Zero-Shot Anomaly Detection
CVPR 2026
From Competition to Synergy: Unlocking Reinforcement Learning for Subject-Driven Image Generation
ACL 2026
From Completion to Editing: Unlocking Context-Aware Code Infilling via Search-and-Replace Instruction Tuning
ACL 2026
From Contrast to Consistency: Rethinking Event-based Continuous-Time Optical Flow Estimation
CVPR 2026
From Cross-Sectional CT to Dynamic Insights: Pseudotime-Based Modeling of Lung Nodule Progression
MIDL 2026
From Curated Data to Scalable Models: Continual Pre-training of Dense and MoE Large Language Models for Tibetan
ACL 2026
From Detection to Association: Learning Discriminative Object Embeddings for Multi-Object Tracking
CVPR 2026
From Experts to Bases: Orthogonal Subspace Mixture for Continual Multimodal Instruction Tuning
ACL 2026
From Exploration to Exploitation: A Two-Stage Entropy RLVR Approach for Noise-Tolerant MLLM Training
CVPR 2026
From Feature Learning to Spectral Basis Learning: A Unifying and Flexible Framework for Efficient and Robust Shape Matching
CVPR 2026
From Few-way to Many-way: Rethinking Few-shot Fine-grained Image Classification
CVPR 2026
From Fluent to Useful: Generative AI That Models Purpose, Audience, and Presenter for Scientific Communication
ACL 2026
From Form to Logic: Masked Reconstruction and Reasoning Distillation for Short Video Fake News Detection
ACL 2026
From Global to Factor-Wise Expert Composition in Discrete Diffusion Models
UAI 2026
From Graph to Text and Back: Semantic Fidelity in Automated Industrial Knowledge Graphs
ACL 2026
From ID to LLM: Rethinking Representation Learning for Recommendation
ACL 2026
From Individual to Common: An Early Exploration of Consensus in Non-verifiable Data for Balanced Preference Optimization
ACL 2026