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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)

Background Invariance Testing According to Semantic Proximity ICCV 2025 BackMATH: Towards Backward Reasoning for Solving Math Problems Step by Step COLING 2025 BadJudge: Backdoor Vulnerabilities of LLM-As-A-Judge ICLR 2025 Bad-PFL: Exploiting Backdoor Attacks against Personalized Federated Learning ICLR 2025 BadToken: Token-level Backdoor Attacks to Multi-modal Large Language Models CVPR 2025 BadVideo: Stealthy Backdoor Attack against Text-to-Video Generation ICCV 2025 BadWindtunnel: Defending Backdoor in High-noise Simulated Training with Confidence Variance ACL 2025 Bagged k-Distance for Mode-Based Clustering Using the Probability of Localized Level Sets JMLR 2025 Bagged Regularized k-Distances for Anomaly Detection JMLR 2025 Bagging-Expert Network for Multi-Task Learning: A Depolarization Solution in Multi-Gate Mixture-of-Experts AAAI 2025 Balance-Aware Sequence Sampling Makes Multi-Modal Learning Better IJCAI 2025 Balanced Adaptive Subspace Collaboration for Mixed Pareto-Lexicographic Multi-Objective Problems with Priority Levels AAAI 2025 Balanced Multi-Factor In-Context Learning for Multilingual Large Language Models EMNLP 2025 Balanced Neural ODEs: nonlinear model order reduction and Koopman operator approximations ICLR 2025 Balanced Rate-Distortion Optimization in Learned Image Compression CVPR 2025 Balancing Conservatism and Aggressiveness: Prototype-Affinity Hybrid Network for Few-Shot Segmentation ICCV 2025 Balancing Imbalance: Data-Scarce Urban Flow Prediction via Spatio-Temporal Balanced Transfer Learning IJCAI 2025 Balancing Invariant and Specific Knowledge for Domain Generalization with Online Knowledge Distillation IJCAI 2025 Balancing Privacy and Utility in Personal LLM Writing Tasks: An Automated Pipeline for Evaluating Anonymizations NAACL 2025 Balancing Shared and Task-Specific Representations: A Hybrid Approach to Depth-Aware Video Panoptic Segmentation WACV 2025 Balancing Task-invariant Interaction and Task-specific Adaptation for Unified Image Fusion ICCV 2025 Balancing the Budget: Understanding Trade-offs Between Supervised and Preference-Based Finetuning ACL 2025 Balancing User-Item Structure and Interaction with Large Language Models and Optimal Transport for Multimedia Recommendation IJCAI 2025 Balans: Multi-Armed Bandits-based Adaptive Large Neighborhood Search for Mixed-Integer Programming Problems IJCAI 2025 BAMDP Shaping: a Unified Framework for Intrinsic Motivation and Reward Shaping ICLR 2025