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)
GPT-NER: Named Entity Recognition via Large Language Models
NAACL 2025
GPU-Accelerated Parallel Bilevel Optimization for Roubst 6G ISAC
AAAI 2025
GrabS: Generative Embodied Agent for 3D Object Segmentation without Scene Supervision
ICLR 2025
GRACE: A Granular Benchmark for Evaluating Model Calibration against Human Calibration
ACL 2025
Graceful Forgetting in Generative Language Models
EMNLP 2025
GRADA: Graph-based Reranking against Adversarial Documents Attack
EMNLP 2025
Graders Should Cheat: Privileged Information Enables Expert-Level Automated Evaluations
EMNLP 2025
GraDeT-HTR: A Resource-Efficient Bengali Handwritten Text Recognition System utilizing Grapheme-based Tokenizer and Decoder-only Transformer
EMNLP 2025
Gradient-Adaptive Policy Optimization: Towards Multi-Objective Alignment of Large Language Models
ACL 2025
Gradient Alignment Improves Test-Time Adaptation for Medical Image Segmentation
AAAI 2025
Gradient-Attention Guided Dual-Masking Synergetic Framework for Robust Text-based Person Retrieval
EMNLP 2025
Gradient-Based Nonlinear Rehearsal Learning with Multivariate Alterations
AAAI 2025
Gradient-Based Sample Selection for Black-Box Universal Domain Adaptation
AAAI 2025
Gradient Decomposition and Alignment for Incremental Object Detection
ICCV 2025
Gradient Flush at Slavic NLP 2025 Task: Leveraging Slavic BERT and Translation for Persuasion Techniques Classification
ACL 2025
Gradient-Guided Annealing for Domain Generalization
CVPR 2025
Gradient-guided Attention Map Editing: Towards Efficient Contextual Hallucination Mitigation
NAACL 2025
Gradient Masters at BLP-2025 Task 1: Advancing Low-Resource NLP for Bengali using Ensemble-Based Adversarial Training for Hate Speech Detection
AACL 2025
Gradient-Reweighted Adversarial Camouflage for Physical Object Detection Evasion
ICCV 2025
Gradient Short-Circuit: Efficient Out-of-Distribution Detection via Feature Intervention
ICCV 2025
Grading Massive Open Online Courses Using Large Language Models
COLING 2025
GRAF: Graph Retrieval Augmented by Facts for Romanian Legal Multi-Choice Question Answering
ACL 2025
GRAG: Graph Retrieval-Augmented Generation
NAACL 2025
GRAID: Synthetic Data Generation with Geometric Constraints and Multi-Agentic Reflection for Harmful Content Detection
EMNLP 2025
GRAIN: Multi-Granular and Implicit Information Aggregation Graph Neural Network for Heterophilous Graphs
AAAI 2025