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)
Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks
EMNLP 2024
Graph Anomaly Detection with Diffusion Model-Based Graph Enhancement (Student Abstract)
AAAI 2024
Graph-Aware Contrasting for Multivariate Time-Series Classification
AAAI 2024
Graph-based Uncertainty Metrics for Long-form Language Model Generations
NeurIPS 2024
Graph-based Unsupervised Disentangled Representation Learning via Multimodal Large Language Models
NeurIPS 2024
Graph Collaborative Expert Finding with Contrastive Learning
IJCAI 2024
Graph Contrastive Invariant Learning from the Causal Perspective
AAAI 2024
Graph Contrastive Learning with Reinforcement Augmentation
IJCAI 2024
Graph Diffusion Policy Optimization
NeurIPS 2024
Graph Disentangled Contrastive Learning with Personalized Transfer for Cross-Domain Recommendation
AAAI 2024
Graph Feedback Bandits with Similar Arms
UAI 2024
Graph Invariant Learning with Subgraph Co-mixup for Out-of-Distribution Generalization
AAAI 2024
Graph Neural Network Explanations are Fragile
ICML 2024
Graph Neural Networks for Learning Equivariant Representations of Neural Networks
ICLR 2024
Graph Neural Prompting with Large Language Models
AAAI 2024
Graph Pruning for Enumeration of Minimal Unsatisfiable Subsets
AISTATS 2024
GraphReason: Enhancing Reasoning Capabilities of Large Language Models through A Graph-Based Verification Approach
ACL 2024
GRAWA: Gradient-based Weighted Averaging for Distributed Training of Deep Learning Models
AISTATS 2024
GREAT Score: Global Robustness Evaluation of Adversarial Perturbation using Generative Models
NeurIPS 2024
Greed is All You Need: An Evaluation of Tokenizer Inference Methods
ACL 2024
GroCo: Ground Constraint for Metric Self-Supervised Monocular Depth
ECCV 2024
Grounding Gaps in Language Model Generations
NAACL 2024
GroundVLP: Harnessing Zero-Shot Visual Grounding from Vision-Language Pre-training and Open-Vocabulary Object Detection
AAAI 2024
Group and Shuffle: Efficient Structured Orthogonal Parametrization
NeurIPS 2024
GroupContrast: Semantic-aware Self-supervised Representation Learning for 3D Understanding
CVPR 2024