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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)

How to Probe: Simple Yet Effective Techniques for Improving Post-hoc Explanations ICLR 2025 How to Protect Yourself from 5G Radiation? Investigating LLM Responses to Implicit Misinformation EMNLP 2025 How Transliterations Improve Crosslingual Alignment COLING 2025 How Well Can Reasoning Models Identify and Recover from Unhelpful Thoughts? EMNLP 2025 How Your Location Relates to Health: Variable Importance and Interpretable Machine Learning for Environmental and Sociodemographic Data AAAI 2025 HQ-CLIP: Leveraging Large Vision-Language Models to Create High-Quality Image-Text Datasets and CLIP Models ICCV 2025 HR-Bandit: Human-AI Collaborated Linear Recourse Bandit AISTATS 2025 HRScene: How Far Are VLMs from Effective High-Resolution Image Understanding? ICCV 2025 HSCR: Hierarchical Self-Contrastive Rewarding for Aligning Medical Vision Language Models ACL 2025 HSRDiff: A Hierarchical Self-Regulation Diffusion Model for Stochastic Semantic Segmentation AAAI 2025 HS-STaR: Hierarchical Sampling for Self-Taught Reasoners via Difficulty Estimation and Budget Reallocation EMNLP 2025 HUANG: A Robust Diffusion Model-based Targeted Adversarial Attack Against Deep Hashing Retrieval AAAI 2025 HU at SemEval-2025 Task 9: Leveraging LLM-Based Data Augmentation for Class Imbalance SemEval 2025 Huatuo-26M, a Large-scale Chinese Medical QA Dataset NAACL 2025 HuGME: A benchmark system for evaluating Hungarian generative LLMs ACL 2025 HULAT-UC3M at TSAR 2025 Shared Task A Prompt-Based Approach using Lightweight Language Models for Readability-Controlled Text Simplification EMNLP 2025 Human Activity Recognition in an Open World (Abstract Reprint) IJCAI 2025 Human Alignment: How Much Do We Adapt to LLMs? ACL 2025 Human and AI Perceptual Differences in Image Classification Errors AAAI 2025 Human Bias in the Face of AI: Examining Human Judgment Against Text Labeled as AI Generated ACL 2025 Human-in-the-Loop Generation of Adversarial Texts: A Case Study on Tibetan Script IJCNLP 2025 Humanizing the Machine: Proxy Attacks to Mislead LLM Detectors ICLR 2025 Humans Hallucinate Too: Language Models Identify and Correct Subjective Annotation Errors With Label-in-a-Haystack Prompts EMNLP 2025 HumorDB: Can AI understand graphical humor? ICCV 2025 HumT DumT: Measuring and controlling human-like language in LLMs ACL 2025