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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)

LLMSR@XLLM25: Integrating Reasoning Prompt Strategies with Structural Prompt Formats for Enhanced Logical Inference ACL 2025 LLMSR@XLLM25: Less is More: Enhancing Structured Multi-Agent Reasoning via Quality-Guided Distillation ACL 2025 LLM Stinger: Jailbreaking LLMs Using RL Fine-Tuned LLMs (Student Abstract) AAAI 2025 LLMs Trust Humans More, That’s a Problem! Unveiling and Mitigating the Authority Bias in Retrieval-Augmented Generation ACL 2025 LLM’s Weakness in NER Doesn’t Stop It from Enhancing a Stronger SLM NAACL 2025 LLM The Genius Paradox: A Linguistic and Math Expert’s Struggle with Simple Word-based Counting Problems NAACL 2025 LLM-TPF: Multiscale Temporal Periodicity-Semantic Fusion LLMs for Time Series Forecasting IJCAI 2025 LLM-wrapper: Black-Box Semantic-Aware Adaptation of Vision-Language Models for Referring Expression Comprehension ICLR 2025 LMEraser: Large Model Unlearning via Adaptive Prompt Tuning AISTATS 2025 LM-Pub-Quiz: A Comprehensive Framework for Zero-Shot Evaluation of Relational Knowledge in Language Models NAACL 2025 LM-Searcher: Cross-domain Neural Architecture Search with LLMs via Unified Numerical Encoding EMNLP 2025 LocAgent: Graph-Guided LLM Agents for Code Localization ACL 2025 Local Causal Discovery Without Causal Sufficiency AAAI 2025 Locality Alignment Improves Vision-Language Models ICLR 2025 Local Look-Ahead Guidance via Verifier-in-the-Loop for Automated Theorem Proving ACL 2025 Locally Private Estimation with Public Features AISTATS 2025 Local Masked Reconstruction for Efficient Self-Supervised Learning on High-Resolution Images WACV 2025 LOCATE 3D: Real-World Object Localization via Self-Supervised Learning in 3D ICML 2025 LoCt-Instruct: An Automatic Pipeline for Constructing Datasets of Logical Continuous Instructions EMNLP 2025 LoD: Loss-difference OOD Detection by Intentionally Label-Noisifying Unlabeled Wild Data IJCAI 2025 LOFT: Scalable and More Realistic Long-Context Evaluation NAACL 2025 Logarithmic Neyman Regret for Adaptive Estimation of the Average Treatment Effect AISTATS 2025 Logarithmic Regret for Linear Markov Decision Processes with Adversarial Corruptions AAAI 2025 Logarithmic Regret for Nonlinear Control L4DC 2025 Logarithmic Width Suffices for Robust Memorization COLT 2025