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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'20
'25
Papers (including subtopics)
Multi-Modal Automatic Prosody Annotation with Contrastive Pretraining of Speech-Silence and Word-Punctuation
Interspeech 2024
Multimodal Belief Prediction
Interspeech 2024
Multimodal Diffusion Transformer: Learning Versatile Behavior from Multimodal Goals
RSS 2024
Multi-Modal Discussion Transformer: Integrating Text, Images and Graph Transformers to Detect Hate Speech on Social Media
AAAI 2024
Multi-Modal Disordered Representation Learning Network for Description-Based Person Search
AAAI 2024
Multimodal Ensembling for Zero-Shot Image Classification
AAAI 2024
Multimodal Event Causality Reasoning with Scene Graph Enhanced Interaction Network
AAAI 2024
Multimodal Fusion of Music Theory-Inspired and Self-Supervised Representations for Improved Emotion Recognition
Interspeech 2024
Multi-modal Gaussian Process Variational Autoencoders for Neural and Behavioral Data
ICLR 2024
Multi-Modal Gaze Following in Conversational Scenarios
WACV 2024
Multimodal Graph Neural Architecture Search under Distribution Shifts
AAAI 2024
Multi-modal In-Context Learning Makes an Ego-evolving Scene Text Recognizer
CVPR 2024
Multimodal Industrial Anomaly Detection by Crossmodal Feature Mapping
CVPR 2024
Multi-modal Instruction Tuned LLMs with Fine-grained Visual Perception
CVPR 2024
Multimodal Instruction Tuning with Conditional Mixture of LoRA
ACL 2024
Multi-Modality Affinity Inference for Weakly Supervised 3D Semantic Segmentation
AAAI 2024
Multimodality-Guided Image Style Transfer Using Cross-Modal GAN Inversion
WACV 2024
Multi-Modality Spatio-Temporal Forecasting via Self-Supervised Learning
IJCAI 2024
Multimodal Large Language Models Make Text-to-Image Generative Models Align Better
NeurIPS 2024
Multi-modal Learning for Geospatial Vegetation Forecasting
CVPR 2024
Multimodal Learning Without Labeled Multimodal Data: Guarantees and Applications
ICLR 2024
Multimodal Molecular Pretraining via Modality Blending
ICLR 2024
Multimodal Patient Representation Learning with Missing Modalities and Labels
ICLR 2024
Multimodal Prompt Learning with Missing Modalities for Sentiment Analysis and Emotion Recognition
ACL 2024
Multimodal Prompt Perceiver: Empower Adaptiveness Generalizability and Fidelity for All-in-One Image Restoration
CVPR 2024