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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)

A Measure of the System Dependence of Automated Metrics ACL 2025 A Medical Image Classification Network Based on Multi-View Consistent Momentum Contrastive Learning IJCAI 2025 AMI at WMT25 General Translation Task: How Low Can We Go? Finetuning Lightweight Llama Models for Low Resource Machine Translation EMNLP 2025 Am I eligible? Natural Language Inference for Clinical Trial Patient Recruitment: the Patient’s Point of View NAACL 2025 A Mixed-Curvature based Pre-training Paradigm for Multi-Task Vehicle Routing Solver ICML 2025 AMNCutter: Affinity-Attention-Guided Multi-View Normalized Cutter for Unsupervised Surgical Instrument Segmentation WACV 2025 A Modular Approach for Clinical SLMs Driven by Synthetic Data with Pre-Instruction Tuning, Model Merging, and Clinical-Tasks Alignment ACL 2025 A Modular Taxonomy for Hate Speech Definitions and Its Impact on Zero-Shot LLM Classification Performance ACL 2025 A Mousetrap: Fooling Large Reasoning Models for Jailbreak with Chain of Iterative Chaos ACL 2025 A.M.P at SciHal2025: Automated Hallucination Detection in Scientific Content via LLMs and Prompt Engineering ACL 2025 AmpleHate: Amplifying the Attention for Versatile Implicit Hate Detection EMNLP 2025 Amplifier: Bringing Attention to Neglected Low-Energy Components in Time Series Forecasting AAAI 2025 AMPS: ASR with Multimodal Paraphrase Supervision NAACL 2025 AMR-RE: Abstract Meaning Representations for Retrieval-Based In-Context Learning in Relation Extraction NAACL 2025 A Multi-Agent Framework for Quantitative Finance : An Application to Portfolio Management Analytics EMNLP 2025 A Multi-Armed Bandit Approach to Online Selection and Evaluation of Generative Models AISTATS 2025 A Multi-Task Learning Approach to Linear Multivariate Forecasting AISTATS 2025 Amuro & Char: Analyzing the Relationship between Pre-Training and Fine-Tuning of Large Language Models NAACL 2025 AMWAL: Named Entity Recognition for Arabic Financial News COLING 2025 An Active Learning Framework for Inclusive Generation by Large Language Models COLING 2025 An Adaptive Method for Weak Supervision with Drifting Data AISTATS 2025 An Address Intelligence Framework for E-commerce Deliveries EMNLP 2025 An Adversary-Resistant Multi-Agent LLM System via Credibility Scoring IJCNLP 2025 Anak Baik: A Low-Cost Approach to Curate Indonesian Ethical and Unethical Instructions COLING 2025 Analysing Zero-Shot Readability-Controlled Sentence Simplification COLING 2025