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)
Micro-Bench: A Microscopy Benchmark for Vision-Language Understanding
NeurIPS 2024
MICS: Midpoint Interpolation To Learn Compact and Separated Representations for Few-Shot Class-Incremental Learning
WACV 2024
MiDe22: An Annotated Multi-Event Tweet Dataset for Misinformation Detection
COLING 2024
MID-FiLD: MIDI Dataset for Fine-Level Dynamics
AAAI 2024
MIDGARD: Self-Consistency Using Minimum Description Length for Structured Commonsense Reasoning
ACL 2024
MILES: Making Imitation Learning Easy with Self-Supervision
CoRL 2024
MILL: Mutual Verification with Large Language Models for Zero-Shot Query Expansion
NAACL 2024
MimicDiffusion: Purifying Adversarial Perturbation via Mimicking Clean Diffusion Model
CVPR 2024
Mimicking the Maestro: Exploring the Efficacy of a Virtual AI Teacher in Fine Motor Skill Acquisition
AAAI 2024
Mimicking To Dominate: Imitation Learning Strategies for Success in Multiagent Games
NeurIPS 2024
Mimic: Speaking Style Disentanglement for Speech-Driven 3D Facial Animation
AAAI 2024
MIM-Reasoner: Learning with Theoretical Guarantees for Multiplex Influence Maximization
AISTATS 2024
Mind Marginal Non-Crack Regions: Clustering-Inspired Representation Learning for Crack Segmentation
CVPR 2024
MindMerger: Efficiently Boosting LLM Reasoning in non-English Languages
NeurIPS 2024
MIND: Multi-Task Incremental Network Distillation
AAAI 2024
Mind's Eye of LLMs: Visualization-of-Thought Elicits Spatial Reasoning in Large Language Models
NeurIPS 2024
Mind The Edge: Refining Depth Edges in Sparsely-Supervised Monocular Depth Estimation
CVPR 2024
Mind the Gap: A Causal Perspective on Bias Amplification in Prediction & Decision-Making
NeurIPS 2024
Mind the Gap Between Prototypes and Images in Cross-domain Finetuning
NeurIPS 2024
Mind the Graph When Balancing Data for Fairness or Robustness
NeurIPS 2024
Mind Your Augmentation: The Key to Decoupling Dense Self-Supervised Learning
ICLR 2024
Mind Your Neighbours: Leveraging Analogous Instances for Rhetorical Role Labeling for Legal Documents
COLING 2024
MineObserver 2.0: A Deep Learning & In-Game Framework for Assessing Natural Language Descriptions of Minecraft Imagery
AAAI 2024
MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents
EMNLP 2024
MiniConGTS: A Near Ultimate Minimalist Contrastive Grid Tagging Scheme for Aspect Sentiment Triplet Extraction
EMNLP 2024