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
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Papers (including subtopics)
MoDULA: Mixture of Domain-Specific and Universal LoRA for Multi-Task Learning
EMNLP 2024
Modular Adaptation of Multilingual Encoders to Written Swiss German Dialect
EACL 2024
Modular Blind Video Quality Assessment
CVPR 2024
Modular Pluralism: Pluralistic Alignment via Multi-LLM Collaboration
EMNLP 2024
Modulated Phase Diffusor: Content-Oriented Feature Synthesis for Detecting Unknown Objects
ICLR 2024
Modulate Your Spectrum in Self-Supervised Learning
ICLR 2024
ModWaveMLP: MLP-Based Mode Decomposition and Wavelet Denoising Model to Defeat Complex Structures in Traffic Forecasting
AAAI 2024
MoE Jetpack: From Dense Checkpoints to Adaptive Mixture of Experts for Vision Tasks
NeurIPS 2024
MOHO: Learning Single-view Hand-held Object Reconstruction with Multi-view Occlusion-Aware Supervision
CVPR 2024
Mol-AE: Auto-Encoder Based Molecular Representation Learning With 3D Cloze Test Objective
ICML 2024
Moleco: Molecular Contrastive Learning with Chemical Language Models for Molecular Property Prediction
EMNLP 2024
Molecular Data Programming: Towards Molecule Pseudo-labeling with Systematic Weak Supervision
CVPR 2024
Molecule Design by Latent Prompt Transformer
NeurIPS 2024
MolTRES: Improving Chemical Language Representation Learning for Molecular Property Prediction
EMNLP 2024
MoMask: Generative Masked Modeling of 3D Human Motions
CVPR 2024
MoME: Mixture of Multimodal Experts for Generalist Multimodal Large Language Models
NeurIPS 2024
MoML: Online Meta Adaptation for 3D Human Motion Prediction
CVPR 2024
MoMu-Diffusion: On Learning Long-Term Motion-Music Synchronization and Correspondence
NeurIPS 2024
Monitoring Depression Severity and Symptoms in User-Generated Content: An Annotation Scheme and Guidelines
ACL 2024
Monitoring of Perception Systems: Deterministic, Probabilistic, and Learning-Based Fault Detection and Identification (Abstract Reprint)
AAAI 2024
MoNMT: Modularly Leveraging Monolingual and Bilingual Knowledge for Neural Machine Translation
COLING 2024
Monocular 3D Object Detection With LiDAR Guided Semi Supervised Active Learning
WACV 2024
Monocular Event-Based Vision for Obstacle Avoidance with a Quadrotor
CoRL 2024
Monoculture in Matching Markets
NeurIPS 2024
MonoProb: Self-Supervised Monocular Depth Estimation With Interpretable Uncertainty
WACV 2024