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)
Hypergraph Learning for Unsupervised Graph Alignment via Optimal Transport
AAAI 2025
HyperMixer: Specializable Hypergraph Channel Mixing for Long-term Multivariate Time Series Forecasting
AAAI 2025
HyperNVD: Accelerating Neural Video Decomposition via Hypernetworks
CVPR 2025
Hypernym Bias: Unraveling Deep Classifier Training Dynamics through the Lens of Class Hierarchy
AISTATS 2025
i$^2$VAE: Interest Information Augmentation with Variational Regularizers for Cross-Domain Sequential Recommendation
UAI 2025
I0T: Embedding Standardization Method Towards Zero Modality Gap
ACL 2025
I2VControl: Disentangled and Unified Video Motion Synthesis Control
ICCV 2025
I2VGuard: Safeguarding Images against Misuse in Diffusion-based Image-to-Video Models
CVPR 2025
IAA: Inner-Adaptor Architecture Empowers Frozen Large Language Model with Multimodal Capabilities
AAAI 2025
IAP: Invisible Adversarial Patch Attack through Perceptibility-Aware Localization and Perturbation Optimization
ICCV 2025
ICE-T: Interactions-aware Cross-column Contrastive Embedding for Heterogeneous Tabular Datasets
AAAI 2025
IDEATOR: Jailbreaking and Benchmarking Large Vision-Language Models Using Themselves
ICCV 2025
Identifying and Mitigating Position Bias of Multi-image Vision-Language Models
CVPR 2025
Identifying Cellular Niches in Spatial Transcriptomics: An Investigation into the Capabilities of Large Language Models
ACL 2025
Identifying Drivers of Predictive Aleatoric Uncertainty
IJCAI 2025
Identifying Open Challenges in Language Identification
ACL 2025
Idiosyncratic Versus Normative Modeling of Atypical Speech Recognition: Dysarthric Case Studies
EMNLP 2025
IDIR: Identifying and Distilling Informative Relations for Speaker Verification
Interspeech 2025
IDOL: Instant Photorealistic 3D Human Creation from a Single Image
CVPR 2025
iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection
ICML 2025
IDseq: Decoupled and Sequentially Detecting and Grounding Multi-Modal Media Manipulation
AAAI 2025
If I feel smart, I will do the right thing: Combining Complementary Multimodal Information in Visual Language Models
COLING 2025
iKnow-audio: Integrating Knowledge Graphs with Audio-Language Models
EMNLP 2025
ILLUME: Illuminating Your LLMs to See, Draw, and Self-Enhance
ICCV 2025
Image-Caption Encoding for Improving Zero-Shot Generalization
WACV 2025