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)
InterPhys: Physics-aware Human Motion Synthesis in a Dynamic Scene
CVPR 2026
Interpretable Prompts made Edit-Friendly: Token-to-Token Similarity Reduction in dLLMs for Edit-Friendly Hard Prompt Inversion
CVPR 2026
Interpretable Spatial-Temporal Forecasting via Additive Neural Decomposition and Knowledge Distillation
UAI 2026
Interpretable Traces, Unexpected Outcomes: Investigating the Disconnect in Trace-Based Knowledge Distillation
ACL 2026
InterPrior: Scaling Generative Control for Physics-Based Human-Object Interactions
CVPR 2026
Intervention-Aware Multiscale Representation Learning from Imaging Phenomics and Perturbation Transcriptomics
CVPR 2026
Intra-class Distribution-guided Generative Hashing with Neighbor Refinement for Cross-modal Retrieval
CVPR 2026
InTrain: Intrinsic Trainability for Zero-Cost Neural Architecture Search
CVPR 2026
IntroSVG: Learning from Rendering Feedback for Text-to-SVG Generation via an Introspective Generator-Critic Framework
CVPR 2026
InvCoSS: Inversion-driven Continual Self-supervised Learning in Medical Multi-modal Image Pre-training
CVPR 2026
Investigating Cross-Modal Skill Injection: Scenarios, Methods, and Hyperparameters
ACL 2026
Investigating Self-Supervised Representations for Audio-Visual Deepfake Detection
CVPR 2026
Investigating the Histogram Loss in Regression
JMLR 2026
Iris: Bringing Real-World Priors into Diffusion Model for Monocular Depth Estimation
CVPR 2026
IRIS: Interleaved Reinforcement with Incremental Staged Curriculum for Cross-Lingual Mathematical Reasoning
ACL 2026
Is Agentic RAG worth it? An experimental comparison of RAG approaches
ACL 2026
IS-CoT: Breaking the Long-form Generation Collapse via Interleaved Structural Thinking
ACL 2026
Is Parameter Isolation Better for Prompt-Based Continual Learning?
CVPR 2026
Is this chart lying to me? Automating the detection of misleading visualizations
ACL 2026
Iterative Dual-Model Alignment for Story Evaluation
ACL 2026
IterCOMP: Reasoning-aware Adaptive Prompt Compression for Multi-hop Question Answering
ACL 2026
J4R: Learning to Judge with Equivalent Initial State Group Relative Policy Optimization
ACL 2026
JCT at SemEval-2026 Task 1: Let the Best Joke Win - A Generate - and-Rank Approach to Constrained Humor
SemEval 2026
Joint-Aligned Latent Action: Towards Scalable VLA Pretraining in the Wild
CVPR 2026
Joint Learning of General and Diverse Patterns with Mixture of Memory Experts for Weakly-Supervised Video Anomaly Detection
CVPR 2026