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)
Making Harmful Behaviors Unlearnable for Large Language Models
ACL 2024
Making Large Language Models Better Reasoners with Orchestrated Streaming Experiences
EMNLP 2024
Making Pre-trained Language Models Better Continual Few-Shot Relation Extractors
COLING 2024
Making RL with Preference-based Feedback Efficient via Randomization
ICLR 2024
MALTO at SemEval-2024 Task 6: Leveraging Synthetic Data for LLM Hallucination Detection
SemEval 2024
MALT Powers Up Adversarial Attacks
NeurIPS 2024
MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection
NeurIPS 2024
MambaTree: Tree Topology is All You Need in State Space Model
NeurIPS 2024
MAmmoTH2: Scaling Instructions from the Web
NeurIPS 2024
MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning
ICLR 2024
MANDREL: Modular Reinforcement Learning Pipelines for Material Discovery
AAAI 2024
Manifold Constraints for Imperceptible Adversarial Attacks on Point Clouds
AAAI 2024
Manipulation-Robust Selection of Citizens’ Assemblies
AAAI 2024
MaNo: Exploiting Matrix Norm for Unsupervised Accuracy Estimation Under Distribution Shifts
NeurIPS 2024
Many-Shot In-Context Learning
NeurIPS 2024
MAP- and MLE-Based Teaching
JMLR 2024
MapCoder: Multi-Agent Code Generation for Competitive Problem Solving
ACL 2024
MAPLE: Micro Analysis of Pairwise Language Evolution for Few-Shot Claim Verification
EACL 2024
MaPPER: Multimodal Prior-guided Parameter Efficient Tuning for Referring Expression Comprehension
EMNLP 2024
Mapping ‘when’-clauses in Latin American and Caribbean languages: an experiment in subtoken-based typology
NAACL 2024
MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-Labeling
CVPR 2024
Marathon: A Race Through the Realm of Long Context with Large Language Models
ACL 2024
MARE: Multi-Aspect Rationale Extractor on Unsupervised Rationale Extraction
EMNLP 2024
Margin-Based Active Learning of Classifiers
JMLR 2024
Margin Matching Preference Optimization: Enhanced Model Alignment with Granular Feedback
EMNLP 2024