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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)

Differentiable Rule Induction from Raw Sequence Inputs ICLR 2025 Differential-informed Sample Selection Accelerates Multimodal Contrastive Learning ICCV 2025 Differentially Private Continual Release of Histograms and Related Queries AISTATS 2025 Differentially Private Kernelized Contextual Bandits AISTATS 2025 Differentially private optimization for non-decomposable objective functions ICLR 2025 Differentially Private Prototypes for Imbalanced Transfer Learning AAAI 2025 Differentiated Vision: Unveiling Entity-Specific Visual Modality Requirements for Multimodal Knowledge Graph EMNLP 2025 DiffExp: Efficient Exploration in Reward Fine-tuning for Text-to-Image Diffusion Models AAAI 2025 DiffGAD: A Diffusion-based Unsupervised Graph Anomaly Detector ICLR 2025 Difficulty-aware Balancing Margin Loss for Long-tailed Recognition AAAI 2025 Difficulty Diversity and Plausibility: Dynamic Data-Free Quantization WACV 2025 Difficulty Estimation in Natural Language Tasks with Action Scores NAACL 2025 DiffPAD: Denoising Diffusion-Based Adversarial Patch Decontamination WACV 2025 Diff-Prompt: Diffusion-Driven Prompt Generator with Mask Supervision ICLR 2025 DiffSQL: Leveraging Diffusion Model for Zero-Shot Self-Supervised Monocular Depth Estimation IJCAI 2025 DiffTell: A High-Quality Dataset for Describing Image Manipulation Changes ICCV 2025 DiffuseDef: Improved Robustness to Adversarial Attacks via Iterative Denoising ACL 2025 Diffuse&Refine: Intrinsic Knowledge Generation and Aggregation for Incremental Object Detection IJCAI 2025 Diffusion Adversarial Post-Training for One-Step Video Generation ICML 2025 DiffusionAttacker: Diffusion-Driven Prompt Manipulation for LLM Jailbreak EMNLP 2025 Diffusion-Based Active Learning for Distributed Client Manifolds AAAI 2025 Diffusion-based Adversarial Purification from the Perspective of the Frequency Domain ICML 2025 Diffusion-Based Generative Regularization for Supervised Discriminative Learning WACV 2025 Diffusion-based Semantic Outlier Generation via Nuisance Awareness for Out-of-Distribution Detection AAAI 2025 Diffusion-Based Visual Anagram as Multi-Task Learning WACV 2025