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)
Recovering Complete Actions for Cross-dataset Skeleton Action Recognition
NeurIPS 2024
Recovering document annotations for sentence-level bitext
ACL 2024
Recursive Introspection: Teaching Language Model Agents How to Self-Improve
NeurIPS 2024
RedCore: Relative Advantage Aware Cross-Modal Representation Learning for Missing Modalities with Imbalanced Missing Rates
AAAI 2024
Reducing Item Discrepancy via Differentially Private Robust Embedding Alignment for Privacy-Preserving Cross Domain Recommendation
ICML 2024
Reducing Spatial Fitting Error in Distillation of Denoising Diffusion Models
AAAI 2024
Re-Evaluating LiDAR Scene Flow
WACV 2024
REFACTOR: Learning to Extract Theorems from Proofs
ICLR 2024
Reference Neural Operators: Learning the Smooth Dependence of Solutions of PDEs on Geometric Deformations
ICML 2024
Reference Trustable Decoding: A Training-Free Augmentation Paradigm for Large Language Models
NeurIPS 2024
Referencing Where to Focus: Improving Visual Grounding with Referential Query
NeurIPS 2024
Referred by Multi-Modality: A Unified Temporal Transformer for Video Object Segmentation
AAAI 2024
REFINESUMM: Self-Refining MLLM for Generating a Multimodal Summarization Dataset
ACL 2024
Refining and Synthesis: A Simple yet Effective Data Augmentation Framework for Cross-Domain Aspect-based Sentiment Analysis
ACL 2024
Refining App Reviews: Dataset, Methodology, and Evaluation
EMNLP 2024
Refining Latent Homophilic Structures over Heterophilic Graphs for Robust Graph Convolution Networks
AAAI 2024
Reflected Schrödinger Bridge for Constrained Generative Modeling
UAI 2024
Reformulating Domain Adaptation of Large Language Models as Adapt-Retrieve-Revise: A Case Study on Chinese Legal Domain
ACL 2024
ReFT: Representation Finetuning for Language Models
NeurIPS 2024
ReGCL: Rethinking Message Passing in Graph Contrastive Learning
AAAI 2024
Regeneration Learning: A Learning Paradigm for Data Generation
AAAI 2024
RegExplainer: Generating Explanations for Graph Neural Networks in Regression Tasks
NeurIPS 2024
RegionGPT: Towards Region Understanding Vision Language Model
CVPR 2024
RegionPLC: Regional Point-Language Contrastive Learning for Open-World 3D Scene Understanding
CVPR 2024
Regressor-Segmenter Mutual Prompt Learning for Crowd Counting
CVPR 2024