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)
MARiA at SemEval 2024 Task-6: Hallucination Detection Through LLMs, MNLI, and Cosine similarity
SemEval 2024
MarkLLM: An Open-Source Toolkit for LLM Watermarking
EMNLP 2024
Markov Equivalence and Consistency in Differentiable Structure Learning
NeurIPS 2024
Marrying Causal Representation Learning with Dynamical Systems for Science
NeurIPS 2024
MARS: Meaning-Aware Response Scoring for Uncertainty Estimation in Generative LLMs
ACL 2024
MARS: Multimodal Active Robotic Sensing for Articulated Characterization
IJCAI 2024
MART: Masked Affective RepresenTation Learning via Masked Temporal Distribution Distillation
CVPR 2024
MARVEL: Multidimensional Abstraction and Reasoning through Visual Evaluation and Learning
NeurIPS 2024
Mask-Based Modeling for Neural Radiance Fields
ICLR 2024
MaskCLR: Attention-Guided Contrastive Learning for Robust Action Representation Learning
CVPR 2024
MaskClustering: View Consensus based Mask Graph Clustering for Open-Vocabulary 3D Instance Segmentation
CVPR 2024
Masked and Shuffled Blind Spot Denoising for Real-World Images
CVPR 2024
Masked AutoDecoder is Effective Multi-Task Vision Generalist
CVPR 2024
Masked Autoencoders for Microscopy are Scalable Learners of Cellular Biology
CVPR 2024
Masked Autoencoders with Multi-Window Local-Global Attention Are Better Audio Learners
ICLR 2024
Masked Collaborative Contrast for Weakly Supervised Semantic Segmentation
WACV 2024
Masked Completion via Structured Diffusion with White-Box Transformers
ICLR 2024
Masked Distillation Advances Self-Supervised Transformer Architecture Search
ICLR 2024
Masked Event Modeling: Self-Supervised Pretraining for Event Cameras
WACV 2024
Masked Pre-training Enables Universal Zero-shot Denoiser
NeurIPS 2024
Masked Thought: Simply Masking Partial Reasoning Steps Can Improve Mathematical Reasoning Learning of Language Models
ACL 2024
Mask-Homo: Pseudo Plane Mask-Guided Unsupervised Multi-Homography Estimation
AAAI 2024
Masking Improves Contrastive Self-Supervised Learning for ConvNets, and Saliency Tells You Where
WACV 2024
Masking Latent Gender Knowledge for Debiasing Image Captioning
NAACL 2024
MaskSR: Masked Language Model for Full-band Speech Restoration
Interspeech 2024