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)
Measuring Mutual Policy Divergence for Multi-Agent Sequential Exploration
NeurIPS 2024
Measuring Progress in Dictionary Learning for Language Model Interpretability with Board Game Models
NeurIPS 2024
Measuring Self-Supervised Representation Quality for Downstream Classification Using Discriminative Features
AAAI 2024
Measuring Task Similarity and Its Implication in Fine-Tuning Graph Neural Networks
AAAI 2024
Measuring the Inconsistency of Large Language Models in Preferential Ranking
ACL 2024
Measuring the Robustness of NLP Models to Domain Shifts
EMNLP 2024
MECD: Unlocking Multi-Event Causal Discovery in Video Reasoning
NeurIPS 2024
Mechanism design augmented with output advice
NeurIPS 2024
MedBN: Robust Test-Time Adaptation against Malicious Test Samples
CVPR 2024
MedCalc-Bench: Evaluating Large Language Models for Medical Calculations
NeurIPS 2024
MedCycle: Unpaired Medical Report Generation via Cycle-Consistency
NAACL 2024
Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series Classification
NeurIPS 2024
Media Framing: A typology and Survey of Computational Approaches Across Disciplines
ACL 2024
Media Framing through the Lens of Event-Centric Narratives
EMNLP 2024
MediFact at MEDIQA-M3G 2024: Medical Question Answering in Dermatology with Multimodal Learning
NAACL 2024
MediTab: Scaling Medical Tabular Data Predictors via Data Consolidation, Enrichment, and Refinement
IJCAI 2024
mEdIT: Multilingual Text Editing via Instruction Tuning
NAACL 2024
MedJourney: Benchmark and Evaluation of Large Language Models over Patient Clinical Journey
NeurIPS 2024
Med-Real2Sim: Non-Invasive Medical Digital Twins using Physics-Informed Self-Supervised Learning
NeurIPS 2024
MedREQAL: Examining Medical Knowledge Recall of Large Language Models via Question Answering
ACL 2024
MedSafetyBench: Evaluating and Improving the Medical Safety of Large Language Models
NeurIPS 2024
MEEL: Multi-Modal Event Evolution Learning
ACL 2024
MEGAnno+: A Human-LLM Collaborative Annotation System
EACL 2024
Mega-TTS 2: Boosting Prompting Mechanisms for Zero-Shot Speech Synthesis
ICLR 2024
MELoRA: Mini-Ensemble Low-Rank Adapters for Parameter-Efficient Fine-Tuning
ACL 2024