Learning Types
56,253 papers (3 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Self-Supervised Learning (8,965)
Adversarial Learning (5,204)
Unsupervised Learning (4,874)
Transfer Learning (4,808)
Weakly Supervised Learning (3,938)
Contrastive Learning (3,748)
Zero-Shot Learning (3,130)
Semi-Supervised Learning (3,128)
Reinforcement Learning (3,118)
Multi-Task Learning (2,556)
Evaluation (2,164)
Continual Learning (2,107)
Active Learning (1,983)
Few-Shot Learning (1,840)
Deep Learning (1,404)
Online Learning (1,360)
Multi-Armed Bandits (1,327)
Multimodal Learning (1,289)
Supervised Learning (986)
Multi-Agent Systems (813)
Uncertainty Quantification (805)
Causal Inference (636)
Robustness (576)
Retrieval-Augmented Generation (565)
Fine-Tuning (490)
Ensemble Learning (482)
In-Context Learning (439)
Multi-Label Classification (430)
Imitation Learning (387)
Prompt Engineering (270)
Multi-Lingual Learning (269)
Distribution Shift (264)
Reinforcement Learning from Human Feedback (209)
Regularization (207)
Exploration-Exploitation (203)
Generative Models (200)
Multi-Objective Optimization (185)
Out-of-Distribution Detection (176)
Sparse Learning (165)
Sampling (150)
Preference Learning (136)
Offline Reinforcement Learning (130)
Multi-Label Learning (128)
Markov Decision Process (127)
Neural Architecture Search (122)
Multi-Instance Learning (121)
Multi-View Learning (117)
Robust Learning (110)
Generative Model (110)
Time Series (108)
Large Language Models (104)
Exploration (103)
Hyperparameter Optimization (99)
Machine Unlearning (95)
Imbalanced Learning (93)
Machine Translation (93)
Multi-Class Classification (85)
Differential Privacy (82)
Time Series Analysis (71)
Reasoning (70)
Calibration (67)
Structure Learning (66)
Physics-Informed Learning (62)
Class Imbalance (58)
Model-Based RL (55)
Interactive Learning (55)
Multi-Domain Learning (47)
Inverse Reinforcement Learning (46)
Crowdsourcing (40)
Off-Policy Learning (38)
Label Noise (38)
Noisy Label Learning (35)
Offline RL (32)
Attention (32)
Evolutionary Algorithm (32)
Decision Making (31)
Policy Learning (30)
Personalization (28)
Low-Resource Learning (26)
Collaborative Filtering (25)
Self-Training (24)
Sequential Modeling (24)
Parameter Estimation (23)
Survival Analysis (21)
Machine Learning (20)
Parameter-Efficient Fine-Tuning (20)
Synthetic Data Generation (20)
Annotation (18)
Symbolic Regression (18)
AutoML (16)
Security (15)
Multi-Source Learning (13)
Distant Supervision (13)
Text Generation (11)
Distributional Reinforcement Learning (9)
Sentiment Analysis (9)
Multi-Hop Reasoning (9)
Language Modeling (9)
Code Generation (8)
Multi-Object Tracking (8)
Natural Language Inference (7)
Chain-of-Thought (6)
Question Answering (5)
Papers per year
1
8
12
26
18
20
135
136
147
149
220
231
316
526
460
477
660
1,314
2,083
3,689
4,652
5,914
6,826
8,201
8,755
9,258
2,019
2000
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Papers (including subtopics)
High-Order Semantic Alignment for Unsupervised Fine-Grained Image-Text Retrieval
COLING 2024
High-Order Structure Based Middle-Feature Learning for Visible-Infrared Person Re-identification
AAAI 2024
High-probability complexity bounds for stochastic non-convex minimax optimization
NeurIPS 2024
HiHPQ: Hierarchical Hyperbolic Product Quantization for Unsupervised Image Retrieval
AAAI 2024
HiKER-SGG: Hierarchical Knowledge Enhanced Robust Scene Graph Generation
CVPR 2024
HIL: Hybrid Isotropy Learning for Zero-shot Performance in Dense retrieval
NAACL 2024
HILL: Hierarchy-aware Information Lossless Contrastive Learning for Hierarchical Text Classification
NAACL 2024
Hindsight PRIORs for Reward Learning from Human Preferences
ICLR 2024
HINTED: Hard Instance Enhanced Detector with Mixed-Density Feature Fusion for Sparsely-Supervised 3D Object Detection
CVPR 2024
HintMiner: Automatic Question Hints Mining From Q&A Web Posts with Language Model via Self-Supervised Learning
AISTATS 2024
HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Models
NeurIPS 2024
HIPTrack: Visual Tracking with Historical Prompts
CVPR 2024
HIR-Diff: Unsupervised Hyperspectral Image Restoration Via Improved Diffusion Models
CVPR 2024
HIT: Estimating Internal Human Implicit Tissues from the Body Surface
CVPR 2024
HIVE: Harnessing Human Feedback for Instructional Visual Editing
CVPR 2024
H-LegalKI: A Hierarchical Legal Knowledge Integration Framework for Legal Community Question Answering
EMNLP 2024
HLM-Cite: Hybrid Language Model Workflow for Text-based Scientific Citation Prediction
NeurIPS 2024
HOIAnimator: Generating Text-prompt Human-object Animations using Novel Perceptive Diffusion Models
CVPR 2024
Holistic Automated Red Teaming for Large Language Models through Top-Down Test Case Generation and Multi-turn Interaction
EMNLP 2024
Holistic Evaluation of Large Language Models: Assessing Robustness, Accuracy, and Toxicity for Real-World Applications
NAACL 2024
Holistic Features are almost Sufficient for Text-to-Video Retrieval
CVPR 2024
Holistic Representation Learning for Multitask Trajectory Anomaly Detection
WACV 2024
HoloVIC: Large-scale Dataset and Benchmark for Multi-Sensor Holographic Intersection and Vehicle-Infrastructure Cooperative
CVPR 2024
Homology Consistency Constrained Efficient Tuning for Vision-Language Models
NeurIPS 2024
HOP to the Next Tasks and Domains for Continual Learning in NLP
AAAI 2024