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)
Fisher8: Stabilizing Neural Heteroscedastic Regression via Output-Layer Fisher Geometry
UAI 2026
FisherPoser: Human Motion Estimation from Sparse Observations with Hierarchical Region-Wise Fisher-Matrix Uncertainty Modeling
CVPR 2026
Fixed Anchors Are Not Enough: Dynamic Retrieval and Persistent Homology for Dataset Distillation
CVPR 2026
FLAGG: Flexible Autoregressive Graph Generation
JMLR 2026
FLARE: Anomaly Diagnostics for Divergent LLM Training in GPU Clusters of Thousand-Plus Scale
NSDI 2026
Flash-DMD: Towards High-Fidelity Few-Step Image Generation with Efficient Distillation and Joint Reinforcement Learning
CVPR 2026
FlashIn: Fast and Accurate Image Inversion for Real-time Image Editing
CVPR 2026
FlashLips: 100-FPS Mask-Free Latent Lip-Sync using Reconstruction Instead of Diffusion or GANs
CVPR 2026
FlashMotion: Few-Step Controllable Video Generation with Trajectory Guidance
CVPR 2026
FlashVSR: Towards Real-time Diffusion-Based Streaming Video Super Resolution
CVPR 2026
FlexLLM: Token-Level Co-Serving of LLM Inference and Finetuning with SLO Guarantees
NSDI 2026
Flip-Flop Consistency: Unsupervised Training for Robustness to Prompt Perturbations in LLMs
ACL 2026
FL-MSCL: A Unified Figurative Language Detection Model Driven by Multi-Type Signals and Contrastive Learning
ACL 2026
FloodDiffusion: Tailored Diffusion Forcing for Streaming Motion Generation
CVPR 2026
FloVerse: Floor Plan-Guided Multi-Modal Navigation
CVPR 2026
Flow3r: Factored Flow Prediction for Scalable Visual Geometry Learning
CVPR 2026
Flowception: Temporally Expansive Flow Matching for Video Generation
CVPR 2026
FlowComposer: Composable Flows for Compositional Zero-Shot Learning
CVPR 2026
FlowEO: Generative Unsupervised Domain Adaptation for Earth Observation
WACV 2026
FlowFixer: Towards Detail-Preserving Subject-Driven Generation
CVPR 2026
FlowFM: Advancing Dark Optical Flow Estimation with Flow Matching
CVPR 2026
Flow IV: Counterfactual Inference In Nonseparable Outcome Models Using Instrumental Variables
CLeaR 2026
Flow Map Distillation Without Data
CVPR 2026
Flow Matching for 3D Craniofacial Skeletal Data Generation
MIDL 2026
Flow Matching for Multimodal Distributions
CVPR 2026