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)
Improving Text-to-Image Generation with Intrinsic Self-Confidence Rewards
CVPR 2026
Improving the Convergence of Private Shuffled Gradient Methods with Public Data
UAI 2026
ImReasoner: Improving Memory-based Language Models for Reasoning-in-a-Haystack Tasks
ACL 2026
IMS3: Breaking Distributional Aggregation in Diffusion-Based Dataset Distillation
CVPR 2026
Incentivizing DINOv3 Adaptation for Medical Vision Tasks via Feature Disentanglement
MIDL 2026
Incentivizing Generative Zero-Shot Learning via Outcome-Reward Reinforcement Learning with Visual Cues
CVPR 2026
Incentivizing Parametric Knowledge via Reinforcement Learning with Verifiable Rewards for Cross-Cultural Entity Translation
ACL 2026
Incomplete In-context Learning
ACL 2026
Incremental Object Detection via Future-Aware Decoupled Cross-Head Distillation
CVPR 2026
Inferring Events from Time Series using Language Models
ACL 2026
Influence-based Online Experience Selection for Effective RLHF
ACL 2026
InnoAds-Composer: Efficient Condition Composition for E-Commerce Poster Generation
CVPR 2026
In Pursuit of Pixel Supervision for Visual Pre-training
CVPR 2026
INRetouch: Context Aware Implicit Neural Representation for Photography Retouching
WACV 2026
Instant Personalized Large Language Model Adaptation via Hypernetwork
ACL 2026
InstantRetouch: Efficient and High-Fidelity Instruction-Guided Image Retouching with Bilateral Space
CVPR 2026
InstantViR: Real-Time Video Inverse Problem Solver with Distilled Diffusion Prior
CVPR 2026
InstAP: Instance-Aware Vision-Language Pre-Train for Spatial-Temporal Understanding
CVPR 2026
InstructDiff: Domain-Adaptive Data Selection via Contrastive Entropy for Efficient LLM Fine-Tuning
ACL 2026
Instruction-Guided Lesion Segmentation for Chest X-rays with Automatically Generated Large-Scale Dataset
CVPR 2026
InstructMix2Mix: Consistent Sparse-View Editing Through Multi-View Model Personalization
CVPR 2026
Inter-Edit: First Benchmark for Interactive Instruction-Based Image Editing
CVPR 2026
Interleaved Latent Visual Reasoning with Selective Perceptual Modeling
ACL 2026
InternData-A1: Pioneering High-Fidelity Synthetic Data for Pre-training Generalist Policy
CVPR 2026
InternVideo-Next: Towards World-Understanding Video Models
CVPR 2026