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)
Minimax Optimal and Computationally Efficient Algorithms for Distributionally Robust Offline Reinforcement Learning
NeurIPS 2024
Minimax optimal density estimation using a shallow generative model with a one-dimensional latent variable
AISTATS 2024
Minimizing Weighted Counterfactual Regret with Optimistic Online Mirror Descent
IJCAI 2024
Minimum Entropy Coupling with Bottleneck
NeurIPS 2024
Mining and Transferring Feature-Geometry Coherence for Unsupervised Point Cloud Registration
NeurIPS 2024
Mining and Unifying Heterogeneous Contrastive Relations for Weakly-Supervised Actor-Action Segmentation
WACV 2024
Mining Fine-Grained Image-Text Alignment for Zero-Shot Captioning via Text-Only Training
AAAI 2024
Mining Gaze for Contrastive Learning toward Computer-Assisted Diagnosis
AAAI 2024
Mining Supervision for Dynamic Regions in Self-Supervised Monocular Depth Estimation
CVPR 2024
MinPrompt: Graph-based Minimal Prompt Data Augmentation for Few-shot Question Answering
ACL 2024
MinSpeech: A Corpus of Southern Min Dialect for Automatic Speech Recognition
Interspeech 2024
MINT-1T: Scaling Open-Source Multimodal Data by 10x: A Multimodal Dataset with One Trillion Tokens
NeurIPS 2024
MinT: Boosting Generalization in Mathematical Reasoning via Multi-view Fine-tuning
COLING 2024
MINTY: Rule-based models that minimize the need for imputing features with missing values
AISTATS 2024
MIPD: Exploring Manipulation and Intention In a Novel Corpus of Polish Disinformation
EMNLP 2024
MiraData: A Large-Scale Video Dataset with Long Durations and Structured Captions
NeurIPS 2024
MIRAGE: Cross-Embodiment Zero-Shot Policy Transfer with Cross-Painting
RSS 2024
Mirage: Model-agnostic Graph Distillation for Graph Classification
ICLR 2024
MirageRoom: 3D Scene Segmentation with 2D Pre-trained Models by Mirage Projection
CVPR 2024
Mirror-Consistency: Harnessing Inconsistency in Majority Voting
EMNLP 2024
Mirror: Multiple-perspective Self-Reflection Method for Knowledge-rich Reasoning
ACL 2024
MISA: MIning Saliency-Aware Semantic Prior for Box Supervised Instance Segmentation
IJCAI 2024
MisinfoEval: Generative AI in the Era of “Alternative Facts”
EMNLP 2024
Missing Modality Prediction for Unpaired Multimodal Learning via Joint Embedding of Unimodal Models
ECCV 2024
Missing Modality Robustness in Semi-Supervised Multi-Modal Semantic Segmentation
WACV 2024