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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)

LightRAG: Simple and Fast Retrieval-Augmented Generation EMNLP 2025 Lightweight Contenders: Navigating Semi-Supervised Text Mining through Peer Collaboration and Self Transcendence NAACL 2025 Lightweight Contrastive Distilled Hashing for Online Cross-modal Retrieval AAAI 2025 Light-Weight Hallucination Detection using Contrastive Learning for Conditional Text Generation ACL 2025 Lightweight LLM Adaptation for Medical Summarisation: Roux-lette at PerAnsSumm Shared Task NAACL 2025 LILaC: Late Interacting in Layered Component Graph for Open-domain Multimodal Multihop Retrieval EMNLP 2025 LimaCost: Data Valuation for Instruction Tuning of Large Language Models EMNLP 2025 LIMICS at ArchEHR-QA 2025: Prompting LLMs Beats Fine-Tuned Embeddings ACL 2025 Limitations in Employing Natural Language Supervision for Sensor-Based Human Activity Recognition - And Ways to Overcome Them AAAI 2025 Limitations of Religious Data and the Importance of the Target Domain: Towards Machine Translation for Guinea-Bissau Creole NAACL 2025 Limited Generalizability in Argument Mining: State-Of-The-Art Models Learn Datasets, Not Arguments ACL 2025 Limited-Resource Adapters Are Regularizers, Not Linguists ACL 2025 Limit-sure Reachability for Small Memory Policies in POMDPs is NP-complete UAI 2025 LiMoE: Mixture of LiDAR Representation Learners from Automotive Scenes CVPR 2025 LimRank: Less is More for Reasoning-Intensive Information Reranking EMNLP 2025 Linear Separation Capacity of Self-Supervised Representation Learning JMLR 2025 Linear Streaming Bandit: Regret Minimization and Fixed-Budget Epsilon-Best Arm Identification AAAI 2025 Linear Submodular Maximization with Bandit Feedback AISTATS 2025 Linear-Time Demonstration Selection for In-Context Learning via Gradient Estimation EMNLP 2025 Line of Duty: Evaluating LLM Self-Knowledge via Consistency in Feasibility Boundaries NAACL 2025 LingGym: How Far Are LLMs from Thinking Like Field Linguists? EMNLP 2025 LinguAIsts@DravidianLangTech 2025: Misogyny Meme Detection using multimodel Approach NAACL 2025 LinguaLens: Towards Interpreting Linguistic Mechanisms of Large Language Models via Sparse Auto-Encoder EMNLP 2025 Linguistic Alignment Predicts Learning in Small Group Tutoring Sessions EMNLP 2025 Linguistic and Embedding-Based Profiling of Texts Generated by Humans and Large Language Models EMNLP 2025