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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)

POSITION BIAS MITIGATES POSITION BIAS: Mitigate Position Bias Through Inter-Position Knowledge Distillation EMNLP 2025 Position: General Intelligence Requires Reward-based Pretraining ICML 2025 Position Really Matters: Towards a Holistic Approach for Prompt Tuning NAACL 2025 Positive2Negative: Breaking the Information-Lossy Barrier in Self-Supervised Single Image Denoising CVPR 2025 PositiveCoOp: Rethinking Prompting Strategies for Multi-Label Recognition with Partial Annotations WACV 2025 Positive Experience Reflection for Agents in Interactive Text Environments ACL 2025 Positive Text Reframing under Multi-strategy Optimization COLING 2025 Positive-Unlabeled Diffusion Models for Preventing Sensitive Data Generation ICLR 2025 PostCast: Generalizable Postprocessing for Precipitation Nowcasting via Unsupervised Blurriness Modeling ICLR 2025 PostEdit: Posterior Sampling for Efficient Zero-Shot Image Editing ICLR 2025 PoSum-Bench: Benchmarking Position Bias in LLM-based Conversational Summarization EMNLP 2025 Potentially Problematic Word Usages and How to Detect Them: A Survey EMNLP 2025 POT: Prototypical Optimal Transport for Weakly Supervised Semantic Segmentation CVPR 2025 Power of Cooperative Supervision: Multiple Teachers Framework for Advanced 3D Semi-Supervised Object Detection ICCV 2025 Power of Diversity: Enhancing Data-Free Black-Box Attack with Domain-Augmented Learning AAAI 2025 PPTAgent: Generating and Evaluating Presentations Beyond Text-to-Slides EMNLP 2025 PPT: Patch Order Do Matters In Time Series Pretext Task ICLR 2025 Practicable Black-Box Evasion Attacks on Link Prediction in Dynamic Graphs—a Graph Sequential Embedding Method AAAI 2025 Practical Solutions to Practical Problems in Developing Argument Mining Systems ACL 2025 PRACTIQ: A Practical Conversational Text-to-SQL dataset with Ambiguous and Unanswerable Queries NAACL 2025 PRAGA: Prototype-aware Graph Adaptive Aggregation for Spatial Multi-modal Omics Analysis AAAI 2025 Pragmatic Inference Chain (PIC) Improving LLMs’ Reasoning of Authentic Implicit Toxic Language EMNLP 2025 Pragmatic Metacognitive Prompting Improves LLM Performance on Sarcasm Detection COLING 2025 PRDetect: Perturbation-Robust LLM-generated Text Detection Based on Syntax Tree NAACL 2025 Pre-annotation Matters: A Comparative Study on POS and Dependency Annotation for an Alsatian Dialect ACL 2025