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)
ReDiffDet: Rotation-equivariant Diffusion Model for Oriented Object Detection
CVPR 2025
RedOne: Revealing Domain-specific LLM Post-Training in Social Networking Services
EMNLP 2025
Reduced-rank Factorized Fourier Neural Operator
ACML 2025
Reducing AUV Energy Consumption Through Dynamic Sensor Directions Switching via Deep Reinforcement Learning
AAAI 2025
Reducing Divergence in Batch Normalization for Domain Adaptation
AAAI 2025
Reducing the Content Bias for AI-Generated Image Detection
WACV 2025
Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization
ICCV 2025
Redundancy Principles for MLLMs Benchmarks
ACL 2025
RED: Unleashing Token-Level Rewards from Holistic Feedback via Reward Redistribution
EMNLP 2025
Reefknot: A Comprehensive Benchmark for Relation Hallucination Evaluation, Analysis and Mitigation in Multimodal Large Language Models
ACL 2025
Re-Evaluating Group Robustness via Adaptive Class-Specific Scaling
WACV 2025
ReferSplat: Referring Segmentation in 3D Gaussian Splatting
ICML 2025
ReFF: Reinforcing Format Faithfulness in Language Models Across Varied Tasks
AAAI 2025
Refined Analysis of Constant Step Size Federated Averaging and Federated Richardson-Romberg Extrapolation
AISTATS 2025
Refined generalization analysis of the Deep Ritz Method and Physics-Informed Neural Networks
ICML 2025
Refine then Classify: Robust Graph Neural Networks with Reliable Neighborhood Contrastive Refinement
AAAI 2025
Refining CLIP's Spatial Awareness: A Visual-Centric Perspective
ICLR 2025
Refining Salience-Aware Sparse Fine-Tuning Strategies for Language Models
ACL 2025
Refining Text Generation for Realistic Conversational Recommendation via Direct Preference Optimization
EMNLP 2025
Reflective Agreement: Combining Self-Mixture of Agents with a Sequence Tagger for Robust Event Extraction
EMNLP 2025
ReFlow-VC: Zero-shot Voice Conversion Based on Rectified Flow and Speaker Feature Optimization
Interspeech 2025
Refusal-Aware Red Teaming: Exposing Inconsistency in Safety Evaluations
EMNLP 2025
Refuse Whenever You Feel Unsafe: Improving Safety in LLMs via Decoupled Refusal Training
ACL 2025
Region-Based Optimization in Continual Learning for Audio Deepfake Detection
AAAI 2025
RegMixMatch: Optimizing Mixup Utilization in Semi-Supervised Learning
AAAI 2025