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)
Function Encoders: A Principled Approach to Transfer Learning in Hilbert Spaces
ICML 2025
Fundamental computational limits of weak learnability in high-dimensional multi-index models
AISTATS 2025
FunghiFunghi at SemEval-2025 Task 3: Mu-SHROOM, the Multilingual Shared-task on Hallucinations and Related Observable Overgeneration Mistakes
SemEval 2025
Fuse Before Transfer: Knowledge Fusion for Heterogeneous Distillation
ICCV 2025
FuseChat: Knowledge Fusion of Chat Models
EMNLP 2025
FUSE-MOS: Fusion of Speech Embeddings for MOS Prediction with Uncertainty Quantification
Interspeech 2025
Fusing Highly Specialized Language Models for Comprehensive Expertise
ACL 2025
FVGen: Accelerating Novel-View Synthesis with Adversarial Video Diffusion Distillation
ICCV 2025
G2SF: Geometry-Guided Score Fusion for Multimodal Industrial Anomaly Detection
ICCV 2025
Gain from Neighbors: Boosting Model Robustness in the Wild via Adversarial Perturbations Toward Neighboring Classes
CVPR 2025
GainRAG: Preference Alignment in Retrieval-Augmented Generation through Gain Signal Synthesis
ACL 2025
Gait-X: Exploring X modality for Generalized Gait Recognition
ICCV 2025
GALAXY: A Large-Scale Open-Domain Dataset for Multimodal Learning
Interspeech 2025
Galaxy Walker: Geometry-aware VLMs For Galaxy-scale Understanding
CVPR 2025
Galileo: Learning Global & Local Features of Many Remote Sensing Modalities
ICML 2025
GALLa: Graph Aligned Large Language Models for Improved Source Code Understanding
ACL 2025
Game4Loc: A UAV Geo-Localization Benchmark from Game Data
AAAI 2025
GAMEBoT: Transparent Assessment of LLM Reasoning in Games
ACL 2025
GAMIC: Graph-Aligned Molecular In-context Learning for Molecule Analysis via LLMs
EMNLP 2025
Gamma Distribution PCA-Enhanced Feature Learning for Angle-Robust SAR Target Recognition
ICML 2025
GapMatch: Bridging Instance and Model Perturbations for Enhanced Semi-Supervised Medical Image Segmentation
AAAI 2025
GAPO: Learning Preferential Prompt through Generative Adversarial Policy Optimization
ACL 2025
GarFast: Realistic and Fast Garment Transfer with a Simplified Parser-Free Approach
AAAI 2025
GARF: Learning Generalizable 3D Reassembly for Real-World Fractures
ICCV 2025
GARLIC: GPT-Augmented Reinforcement Learning with Intelligent Control for Vehicle Dispatching
AAAI 2025