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)
Consistency Training by Synthetic Question Generation for Conversational Question Answering
ACL 2024
Consistency Training with Learnable Data Augmentation for Graph Anomaly Detection with Limited Supervision
ICLR 2024
Consistent Bidirectional Language Modelling: Expressive Power and Representational Conciseness
EMNLP 2024
Consistent Prompting for Rehearsal-Free Continual Learning
CVPR 2024
ConstitutionalExperts: Training a Mixture of Principle-based Prompts
ACL 2024
Constrained Adaptive Attack: Effective Adversarial Attack Against Deep Neural Networks for Tabular Data
NeurIPS 2024
Constrained Diffusion Models via Dual Training
NeurIPS 2024
Constrained Latent Action Policies for Model-Based Offline Reinforcement Learning
NeurIPS 2024
Constructing Concept-based Models to Mitigate Spurious Correlations with Minimal Human Effort
ECCV 2024
Construct to Associate: Cooperative Context Learning for Domain Adaptive Point Cloud Segmentation
CVPR 2024
CONSTRUCTURE: Benchmarking CONcept STRUCTUre REasoning for Multimodal Large Language Models
EMNLP 2024
ContactField: Implicit Field Representation for Multi-Person Interaction Geometry
NeurIPS 2024
ConTempo: A Unified Temporally Contrastive Framework for Temporal Relation Extraction
ACL 2024
Content-Style Decoupling for Unsupervised Makeup Transfer without Generating Pseudo Ground Truth
CVPR 2024
Context-Aware Adapter Tuning for Few-Shot Relation Learning in Knowledge Graphs
EMNLP 2024
Context-Aware Iteration Policy Network for Efficient Optical Flow Estimation
AAAI 2024
Context-Driven Index Trimming: A Data Quality Perspective to Enhancing Precision of RALMs
EMNLP 2024
Context-I2W: Mapping Images to Context-Dependent Words for Accurate Zero-Shot Composed Image Retrieval
AAAI 2024
Contextrast: Contextual Contrastive Learning for Semantic Segmentation
CVPR 2024
ContextSeg: Sketch Semantic Segmentation by Querying the Context with Attention
CVPR 2024
Contextual Affinity Distillation for Image Anomaly Detection
WACV 2024
Continual Audio-Visual Sound Separation
NeurIPS 2024
Continual Contrastive Spoken Language Understanding
ACL 2024
Continual Few-shot Relation Extraction via Adaptive Gradient Correction and Knowledge Decomposition
ACL 2024
Continual Learning for Motion Prediction Model via Meta-Representation Learning and Optimal Memory Buffer Retention Strategy
CVPR 2024