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)
Forgetting, Ignorance or Myopia: Revisiting Key Challenges in Online Continual Learning
NeurIPS 2024
Formality is Favored: Unraveling the Learning Preferences of Large Language Models on Data with Conflicting Knowledge
EMNLP 2024
Foundational Autoraters: Taming Large Language Models for Better Automatic Evaluation
EMNLP 2024
Foundation Model for Biomedical Graphs: Integrating Knowledge Graphs and Protein Structures to Large Language Models
ACL 2024
FoundationPose: Unified 6D Pose Estimation and Tracking of Novel Objects
CVPR 2024
FOUND: Foot Optimization With Uncertain Normals for Surface Deformation Using Synthetic Data
WACV 2024
FouRA: Fourier Low-Rank Adaptation
NeurIPS 2024
Fourier Transporter: Bi-Equivariant Robotic Manipulation in 3D
ICLR 2024
Fraunhofer SIT at WASSA 2024 Empathy and Personality Shared Task: Use of Sentiment Transformers and Data Augmentation With Fuzzy Labels to Predict Emotional Reactions in Conversations and Essays
ACL 2024
Free3D: Consistent Novel View Synthesis without 3D Representation
CVPR 2024
FreeControl: Training-Free Spatial Control of Any Text-to-Image Diffusion Model with Any Condition
CVPR 2024
FreeDrag: Feature Dragging for Reliable Point-based Image Editing
CVPR 2024
FREE: Faster and Better Data-Free Meta-Learning
CVPR 2024
FreeKD: Knowledge Distillation via Semantic Frequency Prompt
CVPR 2024
Free Lunch in Pathology Foundation Model: Task-specific Model Adaptation with Concept-Guided Feature Enhancement
NeurIPS 2024
FreMIM: Fourier Transform Meets Masked Image Modeling for Medical Image Segmentation
WACV 2024
Frequency Adaptive Normalization For Non-stationary Time Series Forecasting
NeurIPS 2024
Frequency-Adaptive Pan-Sharpening with Mixture of Experts
AAAI 2024
Frequency-Aware Deepfake Detection: Improving Generalizability through Frequency Space Domain Learning
AAAI 2024
Frequency-aware Generative Models for Multivariate Time Series Imputation
NeurIPS 2024
Frequency-Aware Transformer for Learned Image Compression
ICLR 2024
Frequency Spectrum Is More Effective for Multimodal Representation and Fusion: A Multimodal Spectrum Rumor Detector
AAAI 2024
FRESCO: Spatial-Temporal Correspondence for Zero-Shot Video Translation
CVPR 2024
FRoG-MOT: Fast and Robust Generic Multiple-Object Tracking by IoU and Motion-State Associations
WACV 2024
From Audio to Photoreal Embodiment: Synthesizing Humans in Conversations
CVPR 2024