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)
Handling Spatial-Temporal Data Heterogeneity for Federated Continual Learning via Tail Anchor
CVPR 2025
Hands-off Image Editing: Language-guided Editing without any Task-specific Labeling, Masking or even Training
COLING 2025
HapticCap: A Multimodal Dataset and Task for Understanding User Experience of Vibration Haptic Signals
EMNLP 2025
HARBOR: Exploring Persona Dynamics in Multi-Agent Competition
IJCNLP 2025
Hard Emotion Test Evaluation Sets for Language Models
NAACL 2025
Hard Negatives, Hard Lessons: Revisiting Training Data Quality for Robust Information Retrieval with LLMs
EMNLP 2025
Harmful Prompt Laundering: Jailbreaking LLMs with Abductive Styles and Symbolic Encoding
EMNLP 2025
Harmonizing Annotation of Turkic Postverbial Constructions: A Comparative Study of UD Treebanks
COLING 2025
Harmonizing Diverse Models: A Layer-wise Merging Strategy for Consistent Generation
EMNLP 2025
Harmonizing Visual and Textual Embeddings for Zero-Shot Text-to-Image Customization
AAAI 2025
Harmonizing Visual Representations for Unified Multimodal Understanding and Generation
ICCV 2025
Harnessing Global-Local Collaborative Adversarial Perturbation for Anti-Customization
CVPR 2025
Harnessing Language Model for Cross-Heterogeneity Graph Knowledge Transfer
AAAI 2025
Harnessing NLP for Indigenous Language Education: Fine-Tuning Large Language Models for Sentence Transformation
NAACL 2025
Harnessing PDF Data for Improving Japanese Large Multimodal Models
ACL 2025
Harnessing Uncertainty-aware Bounding Boxes for Unsupervised 3D Object Detection
ICCV 2025
Harnessing Vision Models for Time Series Analysis: A Survey
IJCAI 2025
Harnessing Whisper for Prosodic Stress Analysis
ACL 2025
Harry Potter is Still Here! Probing Knowledge Leakage in Targeted Unlearned Large Language Models
EMNLP 2025
HASH-RAG: Bridging Deep Hashing with Retriever for Efficient, Fine Retrieval and Augmented Generation
ACL 2025
Has Machine Translation Evaluation Achieved Human Parity? The Human Reference and the Limits of Progress
ACL 2025
Hate Explained: Evaluating NER-Enriched Text in Human and Machine Moderation of Hate Speech
ACL 2025
Hateful Meme Detection through Context-Sensitive Prompting and Fine-Grained Labeling (Student Abstract)
AAAI 2025
Hate in Plain Sight: On the Risks of Moderating AI-Generated Hateful Illusions
ICCV 2025
HATS : Hindi Analogy Test Set for Evaluating Reasoning in Large Language Models
ACL 2025