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)
Optimizing Automatic Differentiation with Deep Reinforcement Learning
NeurIPS 2024
Optimizing Chinese Lexical Simplification Across Word Types: A Hybrid Approach
EMNLP 2024
Optimizing Code Retrieval: High-Quality and Scalable Dataset Annotation through Large Language Models
EMNLP 2024
Optimizing Language Models with Fair and Stable Reward Composition in Reinforcement Learning
EMNLP 2024
Optimizing Rare Word Accuracy in Direct Speech Translation with a Retrieval-and-Demonstration Approach
EMNLP 2024
Optimus-1: Hybrid Multimodal Memory Empowered Agents Excel in Long-Horizon Tasks
NeurIPS 2024
Orchestrate Latent Expertise: Advancing Online Continual Learning with Multi-Level Supervision and Reverse Self-Distillation
CVPR 2024
Orchestrating Plasticity and Stability: A Continual Knowledge Graph Embedding Framework with Bio-Inspired Dual-Mask Mechanism
ACML 2024
Orchid: Flexible and Data-Dependent Convolution for Sequence Modeling
NeurIPS 2024
Order-Independence Without Fine Tuning
NeurIPS 2024
Order-Preserving GFlowNets
ICLR 2024
ORPO: Monolithic Preference Optimization without Reference Model
EMNLP 2024
Orthogonal Adaptation for Modular Customization of Diffusion Models
CVPR 2024
Orthogonal Dictionary Guided Shape Completion Network for Point Cloud
AAAI 2024
OSX at Context24: How Well Can GPT Tackle Contexualizing Scientific Figures and Tables
ACL 2024
OTAS: Unsupervised Boundary Detection for Object-Centric Temporal Action Segmentation
WACV 2024
OTMatch: Improving Semi-Supervised Learning with Optimal Transport
ICML 2024
Out-of-Distribution Detection in Long-Tailed Recognition with Calibrated Outlier Class Learning
AAAI 2024
Out-of-Distribution Detection through Soft Clustering with Non-Negative Kernel Regression
EMNLP 2024
Out-of-Distribution Detection with a Single Unconditional Diffusion Model
NeurIPS 2024
Out-Of-Distribution Detection with Diversification (Provably)
NeurIPS 2024
Out of the Ordinary: Spectrally Adapting Regression for Covariate Shift
ICML 2024
Out of Thin Air: Exploring Data-Free Adversarial Robustness Distillation
AAAI 2024
OVeNet: Offset Vector Network for Semantic Segmentation
WACV 2024
Overcome Modal Bias in Multi-modal Federated Learning via Balanced Modality Selection
ECCV 2024