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)
Object-Aware Video-Language Pre-Training for Retrieval
CVPR 2022
Object Permanence Emerges in a Random Walk along Memory
ICML 2022
Object Representations as Fixed Points: Training Iterative Refinement Algorithms with Implicit Differentiation
NeurIPS 2022
OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework
ICML 2022
Offline Meta-Reinforcement Learning with Online Self-Supervision
ICML 2022
Offline Reinforcement Learning as Anti-exploration
AAAI 2022
Offline-to-Online Co-Evolutional User Simulator and Dialogue System
EMNLP 2022
Off-Policy Reinforcement Learning with Delayed Rewards
ICML 2022
OGC: Unsupervised 3D Object Segmentation from Rigid Dynamics of Point Clouds
NeurIPS 2022
OIE@OIA: an Adaptable and Efficient Open Information Extraction Framework
ACL 2022
OLALA: Object-Level Active Learning for Efficient Document Layout Annotation
EMNLP 2022
Old can be Gold: Better Gradient Flow can Make Vanilla-GCNs Great Again
NeurIPS 2022
Omni-DETR: Omni-Supervised Object Detection With Transformers
CVPR 2022
Omni-Granular Ego-Semantic Propagation for Self-Supervised Graph Representation Learning
ICML 2022
Omni-Scale CNNs: a simple and effective kernel size configuration for time series classification
ICLR 2022
OmniVL: One Foundation Model for Image-Language and Video-Language Tasks
NeurIPS 2022
Omnivore: A Single Model for Many Visual Modalities
CVPR 2022
ONCE-3DLanes: Building Monocular 3D Lane Detection
CVPR 2022
On Distribution Shift in Learning-based Bug Detectors
ICML 2022
One Agent To Rule Them All: Towards Multi-agent Conversational AI
ACL 2022
OneAligner: Zero-shot Cross-lingual Transfer with One Rich-Resource Language Pair for Low-Resource Sentence Retrieval
ACL 2022
On Efficiently Acquiring Annotations for Multilingual Models
ACL 2022
On Efficient Online Imitation Learning via Classification
NeurIPS 2022
On Embeddings for Numerical Features in Tabular Deep Learning
NeurIPS 2022
One Model to Edit Them All: Free-Form Text-Driven Image Manipulation with Semantic Modulations
NeurIPS 2022