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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)

Logical Consistency is Vital: Neural-Symbolic Information Retrieval for Negative-Constraint Queries ACL 2025 Logical DA: Enhancing Data Augmentation for Logical Reasoning via a Multi-Agent System ACL 2025 Logical forms complement probability in understanding language model (and human) performance ACL 2025 Logical Reasoning with Outcome Reward Models for Test-Time Scaling EMNLP 2025 LogicGame: Benchmarking Rule-Based Reasoning Abilities of Large Language Models ACL 2025 Logic: Long-form Outline Generation via Imitative and Critical Self-refinement EMNLP 2025 LogicNet: A Logical Consistency Embedded Face Attribute Learning Network WACV 2025 LogiCoL: Logically-Informed Contrastive Learning for Set-based Dense Retrieval EMNLP 2025 LogicQA: Logical Anomaly Detection with Vision Language Model Generated Questions ACL 2025 Logic-Q: Improving Deep Reinforcement Learning-based Quantitative Trading via Program Sketch-based Tuning AAAI 2025 Logic-Regularized Verifier Elicits Reasoning from LLMs ACL 2025 LogicTree: Structured Proof Exploration for Coherent and Rigorous Logical Reasoning with Large Language Models EMNLP 2025 LOGICZSL: Exploring Logic-induced Representation for Compositional Zero-shot Learning CVPR 2025 LogiDynamics: Unraveling the Dynamics of Inductive, Abductive and Deductive Logical Inferences in LLM Reasoning EMNLP 2025 LogiGraph: Logical Reasoning with Contrastive Learning and Lightweight Graph Networks COLING 2025 Logits are All We Need to Adapt Closed Models ICML 2025 Logits-Based Finetuning EMNLP 2025 Logits DeConfusion with CLIP for Few-Shot Learning CVPR 2025 Logit Separability-Driven Samples and Multiple Class-Related Words Selection for Advancing In-Context Learning NAACL 2025 Logit Space Constrained Fine-Tuning for Mitigating Hallucinations in LLM-Based Recommender Systems EMNLP 2025 Logos as a Well-Tempered Pre-train for Sign Language Recognition EMNLP 2025 LogoSP: Local-global Grouping of Superpoints for Unsupervised Semantic Segmentation of 3D Point Clouds CVPR 2025 LogRules: Enhancing Log Analysis Capability of Large Language Models through Rules NAACL 2025 LoGU: Long-form Generation with Uncertainty Expressions ACL 2025 LOHA: Direct Graph Spectral Contrastive Learning Between Low-Pass and High-Pass Views AAAI 2025