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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)

(De)-regularized Maximum Mean Discrepancy Gradient Flow JMLR 2025 DERI: Cross-Modal ECG Representation Learning with Deep ECG-Report Interaction IJCAI 2025 Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI CVPR 2025 Deriving Causal Order from Single-Variable Interventions: Guarantees & Algorithm ICLR 2025 Deriving Strategic Market Insights with Large Language Models: A Benchmark for Forward Counterfactual Generation EMNLP 2025 Describe Anything: Detailed Localized Image and Video Captioning ICCV 2025 Descriptive and Discriminative Document Identifiers for Generative Retrieval AAAI 2025 DesignCLIP: Multimodal Learning with CLIP for Design Patent Understanding EMNLP 2025 Designing Ambiguity Sets for Distributionally Robust Optimization Using Structural Causal Optimal Transport AAAI 2025 Designing Mechanical Meta-Materials by Learning Equivariant Flows ICLR 2025 Designing Specialized Two-Dimensional Graph Spectral Filters for Spatial-Temporal Graph Modeling AAAI 2025 Design Principles of Multi-Scale J-Invariant Networks for Self-Supervised Image Denoising WACV 2025 Design Principle Transfer in Neural Architecture Search via Large Language Models AAAI 2025 DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding ICCV 2025 Details Matter for Indoor Open-vocabulary 3D Instance Segmentation ICCV 2025 Detect Any Mirrors: Boosting Learning Reliability on Large-Scale Unlabeled Data with an Iterative Data Engine CVPR 2025 Detect Anything 3D in the Wild ICCV 2025 Detecting Adversarial Data Using Perturbation Forgery CVPR 2025 Detecting and Corrupting Convolution-based Unlearnable Examples AAAI 2025 Detecting and Mitigating Challenges in Zero-Shot Video Summarization with Video LLMs ACL 2025 Detecting and Mitigating Hallucination in Large Vision Language Models via Fine-Grained AI Feedback AAAI 2025 Detecting Backdoor Samples in Contrastive Language Image Pretraining ICLR 2025 Detecting Hallucinations in Scientific Claims by Combining Prompting Strategies and Internal State Classification ACL 2025 Detecting Honkadori based on Waka Embeddings NAACL 2025 Detecting Hyperpartisanship and Rhetorical Bias in Climate Journalism: A Sentence-Level Italian Dataset ACL 2025