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)
RePALM: Popular Quote Tweet Generation via Auto-Response Augmentation
ACL 2024
Reparameterized Multi-Resolution Convolutions for Long Sequence Modelling
NeurIPS 2024
Repetitive Action Counting With Motion Feature Learning
WACV 2024
ReplaceAnything3D: Text-Guided Object Replacement in 3D Scenes with Compositional Scene Representations
NeurIPS 2024
RepMatch: Quantifying Cross-Instance Similarities in Representation Space
EMNLP 2024
Representation Alignment and Adversarial Networks for Cross-lingual Dependency Parsing
EMNLP 2024
Representational Isomorphism and Alignment of Multilingual Large Language Models
EMNLP 2024
Representation Surgery for Multi-Task Model Merging
ICML 2024
Representing Part-Whole Hierarchies in Foundation Models by Learning Localizability Composability and Decomposability from Anatomy via Self Supervision
CVPR 2024
Reprogramming Pretrained Target-Specific Diffusion Models for Dual-Target Drug Design
NeurIPS 2024
Repurposing Language Models into Embedding Models: Finding the Compute-Optimal Recipe
NeurIPS 2024
RE-RAG: Improving Open-Domain QA Performance and Interpretability with Relevance Estimator in Retrieval-Augmented Generation
EMNLP 2024
Resampled Datasets Are Not Enough: Mitigating Societal Bias Beyond Single Attributes
EMNLP 2024
Rescue: Ranking LLM Responses with Partial Ordering to Improve Response Generation
ACL 2024
Research of Event Reconstruct Based on Multi-View Contrastive Learning (Student Abstract)
AAAI 2024
Residual Denoising Diffusion Models
CVPR 2024
ResLoRA: Identity Residual Mapping in Low-Rank Adaption
ACL 2024
Resource-Aware Federated Self-Supervised Learning with Global Class Representations
NeurIPS 2024
Response Enhanced Semi-supervised Dialogue Query Generation
AAAI 2024
RESTful-Llama: Connecting User Queries to RESTful APIs
EMNLP 2024
ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search
NeurIPS 2024
Restoration by Generation with Constrained Priors
CVPR 2024
Rethinking Attention: Exploring Shallow Feed-Forward Neural Networks as an Alternative to Attention Layers in Transformers (Student Abstract)
AAAI 2024
Rethinking Boundary Discontinuity Problem for Oriented Object Detection
CVPR 2024
Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Leading Indicators
ICLR 2024