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)
MaxEnt Loss: Calibrating Graph Neural Networks under Out-of-Distribution Shift (Student Abstract)
AAAI 2024
MaxEnt Loss: Constrained Maximum Entropy for Calibration under Out-of-Distribution Shift
AAAI 2024
Maximizing Nash Social Welfare under Two-Sided Preferences
AAAI 2024
Maximizing the Success Probability of Policy Allocations in Online Systems
AAAI 2024
Maximizing utility in multi-agent environments by anticipating the behavior of other learners
NeurIPS 2024
Maximum entropy GFlowNets with soft Q-learning
AISTATS 2024
Maximum Entropy Model Correction in Reinforcement Learning
ICLR 2024
Maximum Entropy Reinforcement Learning via Energy-Based Normalizing Flow
NeurIPS 2024
Maximum Likelihood Estimation is All You Need for Well-Specified Covariate Shift
ICLR 2024
M-BEV: Masked BEV Perception for Robust Autonomous Driving
AAAI 2024
McCrolin: Multi-consistency Cross-lingual Training for Retrieval Question Answering
EMNLP 2024
MccSTN: Multi-Scale Contrast and Fine-Grained Feature Fusion Networks for Subject-driven Style Transfer
COLING 2024
MCL-NER: Cross-Lingual Named Entity Recognition via Multi-View Contrastive Learning
AAAI 2024
MCM: Masked Cell Modeling for Anomaly Detection in Tabular Data
ICLR 2024
MCSSME: Multi-Task Contrastive Learning for Semi-supervised Singing Melody Extraction from Polyphonic Music
AAAI 2024
MDCR: A Dataset for Multi-Document Conditional Reasoning
EMNLP 2024
MDGNN: Multi-Relational Dynamic Graph Neural Network for Comprehensive and Dynamic Stock Investment Prediction
AAAI 2024
mDPO: Conditional Preference Optimization for Multimodal Large Language Models
EMNLP 2024
MeaCap: Memory-Augmented Zero-shot Image Captioning
CVPR 2024
Mean-Field Approximation of Cooperative Constrained Multi-Agent Reinforcement Learning (CMARL)
JMLR 2024
MEANT: Multimodal Encoder for Antecedent Information
EMNLP 2024
Measuring and Improving Attentiveness to Partial Inputs with Counterfactuals
EMNLP 2024
Measuring Bargaining Abilities of LLMs: A Benchmark and A Buyer-Enhancement Method
ACL 2024
Measuring Goal-Directedness
NeurIPS 2024
Measuring Multimodal Mathematical Reasoning with MATH-Vision Dataset
NeurIPS 2024