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)
CSSL: Contrastive Self-Supervised Learning for Dependency Parsing on Relatively Free Word Ordered and Morphologically Rich Low Resource Languages
EMNLP 2024
CTC-aligned Audio-Text Embedding for Streaming Open-vocabulary Keyword Spotting
Interspeech 2024
CUET_Binary_Hackers@DravidianLangTech EACL2024: Fake News Detection in Malayalam Language Leveraging Fine-tuned MuRIL BERT
EACL 2024
CultureLLM: Incorporating Cultural Differences into Large Language Models
NeurIPS 2024
CuReD: Deep Learning Optical Character Recognition for Cuneiform Text Editions and Legacy Materials
ACL 2024
Curriculum Consistency Learning for Conditional Sentence Generation
EMNLP 2024
Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise
NeurIPS 2024
Curriculum Point Prompting for Weakly-Supervised Referring Image Segmentation
CVPR 2024
Curvature Clues: Decoding Deep Learning Privacy with Input Loss Curvature
NeurIPS 2024
Curvature-Invariant Adversarial Attacks for 3D Point Clouds
AAAI 2024
Customized Multiple Clustering via Multi-Modal Subspace Proxy Learning
NeurIPS 2024
Customizing Language Model Responses with Contrastive In-Context Learning
AAAI 2024
CutFreq: Cut-and-Swap Frequency Components for Low-Level Vision Augmentation
AAAI 2024
CycleCL: Self-Supervised Learning for Periodic Videos
WACV 2024
Cycle-Consistency Learning for Captioning and Grounding
AAAI 2024
CycleINR: Cycle Implicit Neural Representation for Arbitrary-Scale Volumetric Super-Resolution of Medical Data
CVPR 2024
Cyclical Contrastive Learning Based on Geodesic for Zero-shot Cross-lingual Spoken Language Understanding
ACL 2024
Cyclic Learning for Binaural Audio Generation and Localization
CVPR 2024
D2LLM: Decomposed and Distilled Large Language Models for Semantic Search
ACL 2024
D2R2: Diffusion-based Representation with Random Distance Matching for Tabular Few-shot Learning
NeurIPS 2024
D3T: Distinctive Dual-Domain Teacher Zigzagging Across RGB-Thermal Gap for Domain-Adaptive Object Detection
CVPR 2024
DACO: Towards Application-Driven and Comprehensive Data Analysis via Code Generation
NeurIPS 2024
DAdEE: Unsupervised Domain Adaptation in Early Exit PLMs
EMNLP 2024
DAFNet: Dynamic Auxiliary Fusion for Sequential Model Editing in Large Language Models
ACL 2024
DALDet: Depth-Aware Learning Based Object Detection for Autonomous Driving
AAAI 2024