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)
C3Net: Compound Conditioned ControlNet for Multimodal Content Generation
CVPR 2024
CableInspect-AD: An Expert-Annotated Anomaly Detection Dataset
NeurIPS 2024
CACL: Community-Aware Heterogeneous Graph Contrastive Learning for Social Media Bot Detection
ACL 2024
CAD: Photorealistic 3D Generation via Adversarial Distillation
CVPR 2024
CAD-SIGNet: CAD Language Inference from Point Clouds using Layer-wise Sketch Instance Guided Attention
CVPR 2024
CALANet: Cheap All-Layer Aggregation for Human Activity Recognition
NeurIPS 2024
Calibrated Self-Rewarding Vision Language Models
NeurIPS 2024
CaLM: Contrasting Large and Small Language Models to Verify Grounded Generation
ACL 2024
CALVIN: Improved Contextual Video Captioning via Instruction Tuning
NeurIPS 2024
CAM Back Again: Large Kernel CNNs from a Weakly Supervised Object Localization Perspective
CVPR 2024
Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs
NeurIPS 2024
CAMEL: Capturing Metaphorical Alignment with Context Disentangling for Multimodal Emotion Recognition
AAAI 2024
CAMEL: CAusal Motion Enhancement Tailored for Lifting Text-driven Video Editing
CVPR 2024
Camera-Independent Single Image Depth Estimation From Defocus Blur
WACV 2024
CaMML: Context-Aware Multimodal Learner for Large Models
ACL 2024
Can Active Label Correction Improve LLM-based Modular AI Systems?
EMNLP 2024
Candidate Pseudolabel Learning: Enhancing Vision-Language Models by Prompt Tuning with Unlabeled Data
ICML 2024
Can Graph Neural Networks Expose Training Data Properties? An Efficient Risk Assessment Approach
NeurIPS 2024
Can I Trust Your Answer? Visually Grounded Video Question Answering
CVPR 2024
Can Large Language Models Follow Concept Annotation Guidelines? A Case Study on Scientific and Financial Domains
ACL 2024
Can Large Language Models Understand Context?
EACL 2024
Can LLMs Augment Low-Resource Reading Comprehension Datasets? Opportunities and Challenges
ACL 2024
Can LLMs get help from other LLMs without revealing private information?
ACL 2024
Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study
NeurIPS 2024
Can LLMs Reason in the Wild with Programs?
EMNLP 2024