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)
Hierarchical Aligned Multimodal Learning for NER on Tweet Posts
AAAI 2024
Hierarchical Diffusion Autoencoders and Disentangled Image Manipulation
WACV 2024
Hierarchical Diffusion Policy for Kinematics-Aware Multi-Task Robotic Manipulation
CVPR 2024
Hierarchical Federated Learning with Multi-Timescale Gradient Correction
NeurIPS 2024
Hierarchical Intra-modal Correlation Learning for Label-free 3D Semantic Segmentation
CVPR 2024
Hierarchical Spatio-temporal Decoupling for Text-to-Video Generation
CVPR 2024
Hierarchy-aware Biased Bound Margin Loss Function for Hierarchical Text Classification
ACL 2024
HiFT: A Hierarchical Full Parameter Fine-Tuning Strategy
EMNLP 2024
High-dimensional (Group) Adversarial Training in Linear Regression
NeurIPS 2024
High-Fidelity Gradient Inversion in Distributed Learning
AAAI 2024
High-fidelity Person-centric Subject-to-Image Synthesis
CVPR 2024
High-Fidelity Pseudo-Labels for Boosting Weakly-Supervised Segmentation
WACV 2024
High-Order Contrastive Learning with Fine-grained Comparative Levels for Sparse Ordinal Tensor Completion
ICML 2024
High-Quality Real-Time Rendering Using Subpixel Sampling Reconstruction
AAAI 2024
HiHPQ: Hierarchical Hyperbolic Product Quantization for Unsupervised Image Retrieval
AAAI 2024
HINTED: Hard Instance Enhanced Detector with Mixed-Density Feature Fusion for Sparsely-Supervised 3D Object Detection
CVPR 2024
Hints-In-Browser: Benchmarking Language Models for Programming Feedback Generation
NeurIPS 2024
HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Models
NeurIPS 2024
Hit the Nail on the Head: Parameter-Efficient Multi-task Tuning via Human Language Intervention
EMNLP 2024
Holistic Exploration on Universal Decompositional Semantic Parsing: Architecture, Data Augmentation, and LLM Paradigm
ACL 2024
Holistic Features are almost Sufficient for Text-to-Video Retrieval
CVPR 2024
Hollowed Net for On-Device Personalization of Text-to-Image Diffusion Models
NeurIPS 2024
Homology Consistency Constrained Efficient Tuning for Vision-Language Models
NeurIPS 2024
HouseCat6D - A Large-Scale Multi-Modal Category Level 6D Object Perception Dataset with Household Objects in Realistic Scenarios
CVPR 2024
Householder Pseudo-Rotation: A Novel Approach to Activation Editing in LLMs with Direction-Magnitude Perspective
EMNLP 2024