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)
Regularization and Optimal Multiclass Learning
COLT 2024
Regularizing Hidden States Enables Learning Generalizable Reward Model for LLMs
NeurIPS 2024
Regularizing with Pseudo-Negatives for Continual Self-Supervised Learning
ICML 2024
Reimagining Mutual Information for Enhanced Defense against Data Leakage in Collaborative Inference
NeurIPS 2024
REINDIR: Repeated Embedding Infusion for Neural Deformable Image Registration
MIDL 2024
Reinforced Adaptive Knowledge Learning for Multimodal Fake News Detection
AAAI 2024
Reinforced Cross-Domain Knowledge Distillation on Time Series Data
NeurIPS 2024
Reinforcement Learning-Driven LLM Agent for Automated Attacks on LLMs
ACL 2024
Reinforcement Learning Gradients as Vitamin for Online Finetuning Decision Transformers
NeurIPS 2024
REInstruct: Building Instruction Data from Unlabeled Corpus
ACL 2024
Relational Concept Bottleneck Models
NeurIPS 2024
Relational Learning in Pre-Trained Models: A Theory from Hypergraph Recovery Perspective
ICML 2024
Relational Proxy Loss for Audio-Text based Keyword Spotting
Interspeech 2024
Relationship Prompt Learning is Enough for Open-Vocabulary Semantic Segmentation
NeurIPS 2024
Relay Diffusion: Unifying diffusion process across resolutions for image synthesis
ICLR 2024
Relevance-aware Diverse Query Generation for Out-of-domain Text Ranking
ACL 2024
Relevance Is a Guiding Light: Relevance-aware Adaptive Learning for End-to-end Task-oriented Dialogue System
EMNLP 2024
Relevant Intrinsic Feature Enhancement Network for Few-Shot Semantic Segmentation
AAAI 2024
RELI11D: A Comprehensive Multimodal Human Motion Dataset and Method
CVPR 2024
Relightable Gaussian Codec Avatars
CVPR 2024
ReMAP: Neural Model Reprogramming with Network Inversion and Retrieval-Augmented Mapping for Adaptive Motion Forecasting
NeurIPS 2024
ReMI: A Dataset for Reasoning with Multiple Images
NeurIPS 2024
Remote Sensing for Water Quality: A Multi-Task, Metadata-Driven Hypernetwork Approach
IJCAI 2024
Remote Sensing Vision-Language Foundation Models without Annotations via Ground Remote Alignment
ICLR 2024
Renovating Names in Open-Vocabulary Segmentation Benchmarks
NeurIPS 2024