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)
Hyperbolic VAE via Latent Gaussian Distributions
NeurIPS 2023
HyperCUT: Video Sequence From a Single Blurry Image Using Unsupervised Ordering
CVPR 2023
Hyper-Decision Transformer for Efficient Online Policy Adaptation
ICLR 2023
HyperFed: Hyperbolic Prototypes Exploration with Consistent Aggregation for Non-IID Data in Federated Learning
IJCAI 2023
Hyper-Label-Graph: Modeling Branch-Level Dependencies of Labels for Hierarchical Multi-Label Text Classification
ACML 2023
HyperMixer: An MLP-based Low Cost Alternative to Transformers
ACL 2023
Hypernetworks for Zero-Shot Transfer in Reinforcement Learning
AAAI 2023
HyperPELT: Unified Parameter-Efficient Language Model Tuning for Both Language and Vision-and-Language Tasks
ACL 2023
Hyperpolyglot LLMs: Cross-Lingual Interpretability in Token Embeddings
EMNLP 2023
Hyper-Skin: A Hyperspectral Dataset for Reconstructing Facial Skin-Spectra from RGB Images
NeurIPS 2023
HyperTuning: Toward Adapting Large Language Models without Back-propagation
ICML 2023
Hypervolume Maximization: A Geometric View of Pareto Set Learning
NeurIPS 2023
HypLiLoc: Towards Effective LiDAR Pose Regression With Hyperbolic Fusion
CVPR 2023
I2R’s End-to-End Speech Translation System for IWSLT 2023 Offline Shared Task
ACL 2023
IAG: Induction-Augmented Generation Framework for Answering Reasoning Questions
EMNLP 2023
IberianVoxel: Automatic Completion of Iberian Ceramics for Cultural Heritage Studies
IJCAI 2023
IC3: Image Captioning by Committee Consensus
EMNLP 2023
I Cast Detect Thoughts: Learning to Converse and Guide with Intents and Theory-of-Mind in Dungeons and Dragons
ACL 2023
iCLIP: Bridging Image Classification and Contrastive Language-Image Pre-Training for Visual Recognition
CVPR 2023
i-Code: An Integrative and Composable Multimodal Learning Framework
AAAI 2023
IdealGPT: Iteratively Decomposing Vision and Language Reasoning via Large Language Models
EMNLP 2023
Identifying Interpretable Subspaces in Image Representations
ICML 2023
Identity-Preserving Talking Face Generation With Landmark and Appearance Priors
CVPR 2023
IDRNet: Intervention-Driven Relation Network for Semantic Segmentation
NeurIPS 2023
IID-GAN: an IID Sampling Perspective for Regularizing Mode Collapse
IJCAI 2023