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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)

From Linearity to Non-Linearity: How Masked Autoencoders Capture Spatial Correlations ICCV 2025 From Lists to Emojis: How Format Bias Affects Model Alignment ACL 2025 From Measurement to Mitigation: Exploring the Transferability of Debiasing Approaches to Gender Bias in Maltese Language Models ACL 2025 From Misleading Queries to Accurate Answers: A Three-Stage Fine-Tuning Method for LLMs ACL 2025 From Neurons to Semantics: Evaluating Cross-Linguistic Alignment Capabilities of Large Language Models via Neurons Alignment ACL 2025 From Noise to Clarity: Filtering Real and LLM-Generated Samples for Enhanced Intent Detection EMNLP 2025 From Noise to Nuance: Enriching Subjective Data Annotation through Qualitative Analysis EMNLP 2025 From Outcomes to Processes: Guiding PRM Learning from ORM for Inference-Time Alignment ACL 2025 From Parameters to Performance: A Data-Driven Study on LLM Structure and Development EMNLP 2025 From perception to production: how acoustic invariance facilitates articulatory learning in a self-supervised vocal imitation model EMNLP 2025 From Poses to Identity: Training-Free Person Re-Identification via Feature Centralization CVPR 2025 From Posts to Timelines: Modeling Mental Health Dynamics from Social Media Timelines with Hybrid LLMs NAACL 2025 From Priest to Doctor: Domain Adaptation for Low-Resource Neural Machine Translation COLING 2025 From Prototypes to General Distributions: An Efficient Curriculum for Masked Image Modeling CVPR 2025 From RAG to Reality: Coarse-Grained Hallucination Detection via NLI Fine-Tuning ACL 2025 From Real to Synthetic: Synthesizing Millions of Diversified and Complicated User Instructions with Attributed Grounding ACL 2025 From Recall to Creation: Generating Follow-Up Questions Using Bloom’s Taxonomy and Grice’s Maxims ACL 2025 From Scarcity to Capability: Empowering Fake News Detection in Low-Resource Languages with LLMs COLING 2025 From Schema to State: Zero-Shot Scheme-Only Dialogue State Tracking via Diverse Synthetic Dialogue and Step-by-Step Distillation EMNLP 2025 From Scores to Steps: Diagnosing and Improving LLM Performance in Evidence-Based Medical Calculations EMNLP 2025 From Selection to Generation: A Survey of LLM-based Active Learning ACL 2025 From Single to Multi: How LLMs Hallucinate in Multi-Document Summarization NAACL 2025 From Syntax to Semantics: Evaluating the Impact of Linguistic Structures on LLM-Based Information Extraction ACL 2025 From Templates to Natural Language: Generalization Challenges in Instruction-Tuned LLMs for Spatial Reasoning IJCNLP 2025 From Tens of Hours to Tens of Thousands: Scaling Back-Translation for Speech Recognition EMNLP 2025