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)
RetroLLM: Empowering Large Language Models to Retrieve Fine-grained Evidence within Generation
ACL 2025
Reverse Distribution Based Video Moment Retrieval for Effective Bias Elimination
AAAI 2025
Reverse Probing: Evaluating Knowledge Transfer via Finetuned Task Embeddings for Coreference Resolution
NAACL 2025
Reversible Disentanglement of Meaning and Language Representations from Multilingual Sentence Encoders
EMNLP 2025
Revisiting Backdoor Attacks against Large Vision-Language Models from Domain Shift
CVPR 2025
Revisiting Compositional Generalization Capability of Large Language Models Considering Instruction Following Ability
ACL 2025
Revisiting Graph Contrastive Learning on Anomaly Detection: A Structural Imbalance Perspective
AAAI 2025
Revisiting In-Context Learning with Long Context Language Models
ACL 2025
Revisiting LLMs as Zero-Shot Time Series Forecasters: Small Noise Can Break Large Models
ACL 2025
Revisiting LoRA through the Lens of Parameter Redundancy: Spectral Encoding Helps
ACL 2025
Revisiting MAE Pre-training for 3D Medical Image Segmentation
CVPR 2025
Revisiting Multimodal Emotion Recognition in Conversation from the Perspective of Graph Spectrum
AAAI 2025
Revisiting Pool-based Prompt Learning for Few-shot Class-incremental Learning
ICCV 2025
Revisiting Pruning vs Quantization for Small Language Models
EMNLP 2025
Revisiting Tampered Scene Text Detection in the Era of Generative AI
AAAI 2025
Revisit Self-Debugging with Self-Generated Tests for Code Generation
ACL 2025
Revisit the Open Nature of Open Vocabulary Semantic Segmentation
ICLR 2025
Reviving Cultural Heritage: A Novel Approach for Comprehensive Historical Document Restoration
ACL 2025
Revolutionizing Encrypted Traffic Classification with MH-Net: A Multi-View Heterogeneous Graph Model
AAAI 2025
Reward Dimension Reduction for Scalable Multi-Objective Reinforcement Learning
ICLR 2025
Rewarding the Unlikely: Lifting GRPO Beyond Distribution Sharpening
EMNLP 2025
REWIND: Speech Time Reversal for Enhancing Speaker Representations in Diffusion-based Voice Conversion
Interspeech 2025
ReWind: Understanding Long Videos with Instructed Learnable Memory
CVPR 2025
Rewrite to Jailbreak: Discover Learnable and Transferable Implicit Harmfulness Instruction
ACL 2025
RFL: Simplifying Chemical Structure Recognition with Ring-Free Language
AAAI 2025