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)
CoFie: Learning Compact Neural Surface Representations with Coordinate Fields
NeurIPS 2024
CofiPara: A Coarse-to-fine Paradigm for Multimodal Sarcasm Target Identification with Large Multimodal Models
ACL 2024
CoGen: Learning from Feedback with Coupled Comprehension and Generation
EMNLP 2024
CogGPT: Unleashing the Power of Cognitive Dynamics on Large Language Models
EMNLP 2024
Cognitive Visual-Language Mapper: Advancing Multimodal Comprehension with Enhanced Visual Knowledge Alignment
ACL 2024
CoIN: A Benchmark of Continual Instruction Tuning for Multimodel Large Language Models
NeurIPS 2024
ColJailBreak: Collaborative Generation and Editing for Jailbreaking Text-to-Image Deep Generation
NeurIPS 2024
Collaborating Foundation Models for Domain Generalized Semantic Segmentation
CVPR 2024
Collaborative Weakly Supervised Video Correlation Learning for Procedure-Aware Instructional Video Analysis
AAAI 2024
Collapse-Aware Triplet Decoupling for Adversarially Robust Image Retrieval
ICML 2024
CoLLaVO: Crayon Large Language and Vision mOdel
ACL 2024
CoLoRA: Continuous low-rank adaptation for reduced implicit neural modeling of parameterized partial differential equations
ICML 2024
Colorizing Monochromatic Radiance Fields
AAAI 2024
Color-Oriented Redundancy Reduction in Dataset Distillation
NeurIPS 2024
ColorSwap: A Color and Word Order Dataset for Multimodal Evaluation
ACL 2024
CoMat: Aligning Text-to-Image Diffusion Model with Image-to-Text Concept Matching
NeurIPS 2024
COMBAT: Alternated Training for Effective Clean-Label Backdoor Attacks
AAAI 2024
COMBHelper: A Neural Approach to Reduce Search Space for Graph Combinatorial Problems
AAAI 2024
Combinatorial CNN-Transformer Learning with Manifold Constraints for Semi-supervised Medical Image Segmentation
AAAI 2024
Combining Deep Learning and Street View Imagery to Map Smallholder Crop Types
AAAI 2024
Combining Frame and GOP Embeddings for Neural Video Representation
CVPR 2024
Combining Graph Transformers Based Multi-Label Active Learning and Informative Data Augmentation for Chest Xray Classification
AAAI 2024
Combining Multiple Supervision for Robust Zero-Shot Dense Retrieval
AAAI 2024
COMMA: Co-articulated Multi-Modal Learning
AAAI 2024
Comments as Natural Logic Pivots: Improve Code Generation via Comment Perspective
ACL 2024