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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)

MCAM: Multimodal Causal Analysis Model for Ego-Vehicle-Level Driving Video Understanding ICCV 2025 MCF-Spouse: A Multi-Label Causal Feature Selection Method with Optimal Spouses Discovery IJCAI 2025 MCGAN: Enhancing GAN Training with Regression-Based Generator Loss AAAI 2025 McMaster at LeWiDi-2025: Demographic-Aware RoBERTa EMNLP 2025 MCQFormatBench: Robustness Tests for Multiple-Choice Questions ACL 2025 MCS-Bench: A Comprehensive Benchmark for Evaluating Multimodal Large Language Models in Chinese Classical Studies ACL 2025 MDBench: A Synthetic Multi-Document Reasoning Benchmark Generated with Knowledge Guidance ACL 2025 MDCure: A Scalable Pipeline for Multi-Document Instruction-Following ACL 2025 MDD-5k: A New Diagnostic Conversation Dataset for Mental Disorders Synthesized via Neuro-Symbolic LLM Agents AAAI 2025 MDIT-Bench: Evaluating the Dual-Implicit Toxicity in Large Multimodal Models ACL 2025 MDP Geometry, Normalization and Reward Balancing Solvers AISTATS 2025 MDPO: Customized Direct Preference Optimization with a Metric-based Sampler for Question and Answer Generation COLING 2025 MDSBots@NLU of Devanagari Script Languages 2025: Detection of Language, Hate Speech, and Targets using MURTweet COLING 2025 MDSEval: A Meta-Evaluation Benchmark for Multimodal Dialogue Summarization EMNLP 2025 Mean-Field Microcanonical Gradient Descent AISTATS 2025 Meaning Variation and Data Quality in the Corpus of Founding Era American English ACL 2025 Measuring Bias and Agreement in Large Language Model Presupposition Judgments ACL 2025 Measuring Chain of Thought Faithfulness by Unlearning Reasoning Steps EMNLP 2025 Measuring Data Diversity for Instruction Tuning: A Systematic Analysis and A Reliable Metric ACL 2025 Measuring Gender Bias in Language Models in Farsi ACL 2025 Measuring Label Ambiguity in Subjective Tasks using Predictive Uncertainty Estimation ACL 2025 Measuring Mental Health Variables in Computational Research: Toward Validated, Dimensional, and Transdiagnostic Approaches NAACL 2025 Measuring scalar constructs in social science with LLMs EMNLP 2025 Measuring the Effect of Transcription Noise on Downstream Language Understanding Tasks ACL 2025 Mechanism Design for Large Language Models (Extended Abstract) IJCAI 2025