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Learning Types

56,253 papers (3 classified directly here)

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)
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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