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)
M2PT: Multimodal Prompt Tuning for Zero-shot Instruction Learning
EMNLP 2024
M2QA: Multi-domain Multilingual Question Answering
EMNLP 2024
M2SA: Multimodal and Multilingual Model for Sentiment Analysis of Tweets
COLING 2024
M2SD:Multiple Mixing Self-Distillation for Few-Shot Class-Incremental Learning
AAAI 2024
M33D: Learning 3D Priors Using Multi-Modal Masked Autoencoders for 2D Image and Video Understanding
WACV 2024
M3: A Multi-Task Mixed-Objective Learning Framework for Open-Domain Multi-Hop Dense Sentence Retrieval
COLING 2024
M3C: A Framework towards Convergent, Flexible, and Unsupervised Learning of Mixture Graph Matching and Clustering
ICLR 2024
M3CoT: A Novel Benchmark for Multi-Domain Multi-step Multi-modal Chain-of-Thought
ACL 2024
M3D: MultiModal MultiDocument Fine-Grained Inconsistency Detection
EMNLP 2024
M3LEO: A Multi-Modal, Multi-Label Earth Observation Dataset Integrating Interferometric SAR and Multispectral Data
NeurIPS 2024
M4LE: A Multi-Ability Multi-Range Multi-Task Multi-Domain Long-Context Evaluation Benchmark for Large Language Models
ACL 2024
MA at AraFinNLP2024: BERT-based Ensemble for Cross-dialectal Arabic Intent Detection
ACL 2024
Machine-Generated Text Localization
ACL 2024
Machine-in-the-Loop with Documentary and Descriptive Linguists
EACL 2024
Machine Learning-Powered Combinatorial Clock Auction
AAAI 2024
Machine Translation Through Cultural Texts: Can Verses and Prose Help Low-Resource Indigenous Models?
ACL 2024
Machine Unlearning: Challenges in Data Quality and Access
IJCAI 2024
Machine Unlearning of Pre-trained Large Language Models
ACL 2024
Machine Vision Therapy: Multimodal Large Language Models Can Enhance Visual Robustness via Denoising In-Context Learning
ICML 2024
MaCmS: Magahi Code-mixed Dataset for Sentiment Analysis
COLING 2024
MACM: Utilizing a Multi-Agent System for Condition Mining in Solving Complex Mathematical Problems
NeurIPS 2024
MACP: Efficient Model Adaptation for Cooperative Perception
WACV 2024
MaCSC: Towards Multimodal-augmented Pre-trained Language Models via Conceptual Prototypes and Self-balancing Calibration
NAACL 2024
MADiff: Offline Multi-agent Learning with Diffusion Models
NeurIPS 2024
MAELi: Masked Autoencoder for Large-Scale LiDAR Point Clouds
WACV 2024