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)
RPO: Retrieval Preference Optimization for Robust Retrieval-Augmented Generation
ACL 2025
RP-PGD: Boosting Segmentation Robustness with a Region-and-Prototype Based Adversarial Attack
AAAI 2025
RSVP: Reasoning Segmentation via Visual Prompting and Multi-modal Chain-of-Thought
ACL 2025
RTADev: Intention Aligned Multi-Agent Framework for Software Development
ACL 2025
RT-DETRv3: Real-Time End-to-End Object Detection with Hierarchical Dense Positive Supervision
WACV 2025
Rubic2: Ensemble Model for Russian Lemmatization
ACL 2025
RUBY: An Effective Framework for Multi-Constraint Multi-Hop Question Generation
ACL 2025
Rule Discovery for Natural Language Inference Data Generation Using Out-of-Distribution Detection
EMNLP 2025
RuleEdit: Towards Rule-Level Knowledge Generalization to Mitigate Over-Editing in Large Language Models
ACL 2025
RUNA: Object-Level Out-of-Distribution Detection via Regional Uncertainty Alignment of Multimodal Representations
AAAI 2025
Run LoRA Run: Faster and Lighter LoRA Implementations
ACL 2025
Rust-doctor: Enhanced Feature for Rust Ownership and Lifetime Repair with Balanced Training Data Generation
EMNLP 2025
S²MILE: Semantic-and-Structure-Aware Music-Driven Lyric Generation
AAAI 2025
S2R: Teaching LLMs to Self-verify and Self-correct via Reinforcement Learning
ACL 2025
S^3cMath: Spontaneous Step-Level Self-Correction Makes Large Language Models Better Mathematical Reasoners
AAAI 2025
S3 - Semantic Signal Separation
ACL 2025
s3: You Don’t Need That Much Data to Train a Search Agent via RL
EMNLP 2025
S4M: Boosting Semi-Supervised Instance Segmentation with SAM
ICCV 2025
Saama Technologies at SemEval-2025 Task 8: Few-shot prompting with LLM-generated examples for question answering on tabular data
SemEval 2025
SABER: Uncovering Vulnerabilities in Safety Alignment via Cross-Layer Residual Connection
EMNLP 2025
SabiYarn: Advancing Low Resource Languages with Multitask NLP Pretraining
ACL 2025
SaD: A Scenario-Aware Discriminator for Speech Enhancement
Interspeech 2025
SADA: Semantic Adversarial Unsupervised Domain Adaptation for Temporal Action Localization
WACV 2025
SADBA: Self-Adaptive Distributed Backdoor Attack Against Federated Learning
AAAI 2025
SADSLyC: A Corpus for Saudi Arabian Multi-dialect Identification through Song Lyrics
COLING 2025