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)
FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction
ICML 2024
Flattening the Parent Bias: Hierarchical Semantic Segmentation in the Poincare Ball
CVPR 2024
Flatten Long-Range Loss Landscapes for Cross-Domain Few-Shot Learning
CVPR 2024
Flexible Biometrics Recognition: Bridging the Multimodality Gap through Attention Alignment and Prompt Tuning
CVPR 2024
Flexible Depth Completion for Sparse and Varying Point Densities
CVPR 2024
Flexible mapping of abstract domains by grid cells via self-supervised extraction and projection of generalized velocity signals
NeurIPS 2024
Flexible Residual Binarization for Image Super-Resolution
ICML 2024
FlexMol: A Flexible Toolkit for Benchmarking Molecular Relational Learning
NeurIPS 2024
FlexPlanner: Flexible 3D Floorplanning via Deep Reinforcement Learning in Hybrid Action Space with Multi-Modality Representation
NeurIPS 2024
Flipping-based Policy for Chance-Constrained Markov Decision Processes
NeurIPS 2024
Flow-Event Autoencoder: Event Stream Object Recognition Dataset Generation with Arbitrary High Temporal Resolution
AAAI 2024
FlowIE: Efficient Image Enhancement via Rectified Flow
CVPR 2024
Flow Snapshot Neurons in Action: Deep Neural Networks Generalize to Biological Motion Perception
NeurIPS 2024
FlowTrack: Revisiting Optical Flow for Long-Range Dense Tracking
CVPR 2024
F-OAL: Forward-only Online Analytic Learning with Fast Training and Low Memory Footprint in Class Incremental Learning
NeurIPS 2024
FocalDreamer: Text-Driven 3D Editing via Focal-Fusion Assembly
AAAI 2024
Focused Large Language Models are Stable Many-Shot Learners
EMNLP 2024
FocusMAE: Gallbladder Cancer Detection from Ultrasound Videos with Focused Masked Autoencoders
CVPR 2024
Focus on Your Instruction: Fine-grained and Multi-instruction Image Editing by Attention Modulation
CVPR 2024
Focus-Then-Decide: Segmentation-Assisted Reinforcement Learning
AAAI 2024
Follow Your Pose: Pose-Guided Text-to-Video Generation Using Pose-Free Videos
AAAI 2024
FoodieQA: A Multimodal Dataset for Fine-Grained Understanding of Chinese Food Culture
EMNLP 2024
FORCE: A Benchmark Dataset for Foodborne Disease Outbreak and Recall Event Extraction from News
ACL 2024
Forecasting Bimanual Object Manipulation Sequences from Unimanual Observations
AAAI 2024
Forgery-aware Adaptive Transformer for Generalizable Synthetic Image Detection
CVPR 2024