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)
RMIB: Representation Matching Information Bottleneck for Matching Text Representations
ICML 2024
Road Network Representation Learning with the Third Law of Geography
NeurIPS 2024
RoBERT2VecTM: A Novel Approach for Topic Extraction in Islamic Studies
EMNLP 2024
RoboMamba: Efficient Vision-Language-Action Model for Robotic Reasoning and Manipulation
NeurIPS 2024
Robust 3D Tracking with Quality-Aware Shape Completion
AAAI 2024
Robust ASR Error Correction with Conservative Data Filtering
EMNLP 2024
Robust CLIP: Unsupervised Adversarial Fine-Tuning of Vision Embeddings for Robust Large Vision-Language Models
ICML 2024
Robust Communicative Multi-Agent Reinforcement Learning with Active Defense
AAAI 2024
Robust Few-Shot Named Entity Recognition with Boundary Discrimination and Correlation Purification
AAAI 2024
Robust Fine-tuning of Zero-shot Models via Variance Reduction
NeurIPS 2024
Robust Image Denoising through Adversarial Frequency Mixup
CVPR 2024
Robust Multi-Agent Reinforcement Learning for Autonomous Vehicle in Noisy Highway Environments
ACML 2024
Robustness of Deep Learning for Accelerated MRI: Benefits of Diverse Training Data
ICML 2024
Robustness of Nonlinear Representation Learning
ICML 2024
Robustness Verification of Deep Reinforcement Learning Based Control Systems Using Reward Martingales
AAAI 2024
Robustness Verification of Multi-Class Tree Ensembles
AAAI 2024
Robust Node Classification on Graph Data with Graph and Label Noise
AAAI 2024
Robust Noisy Correspondence Learning with Equivariant Similarity Consistency
CVPR 2024
Robust Object Detection in Challenging Weather Conditions
WACV 2024
Robust Safety Classifier Against Jailbreaking Attacks: Adversarial Prompt Shield
NAACL 2024
RobustSAM: Segment Anything Robustly on Degraded Images
CVPR 2024
Robust Similarity Learning with Difference Alignment Regularization
ICLR 2024
Robust Test-Time Adaptation for Zero-Shot Prompt Tuning
AAAI 2024
Roll with the Punches: Expansion and Shrinkage of Soft Label Selection for Semi-supervised Fine-Grained Learning
AAAI 2024
RomanSetu: Efficiently unlocking multilingual capabilities of Large Language Models via Romanization
ACL 2024