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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)

Luring as a Proxy: Evaluating Corpus Transferability for Cybergrooming Detection ACL 2026 Lyapunov-Based Sample Complexity Analysis for Weakly-Coupled MDPs (extended abstract) COLT 2026 M2I2: Learning Efficient Multi-Agent Communication via Masked State Modeling and Intention Inference AAAI 2026 MAB-DQA: Addressing Query Aspect Importance in Document Question Answering with Multi-Armed Bandits ACL 2026 Machine Unlearning via Adaptive Gradient Reweighting and Multi-stage Objective Optimization CVPR 2026 MACoT: Synthesizing Chains of Thought for Small Models via Multi-Agent Collaboration AAAI 2026 MacPrompt: Maraconic-Guided Jailbreak Against Text-to-Image Models AAAI 2026 MACRec: A Multi-View Subspace Alignment Framework for Contrastive Sampling Calibration in Recommendation AAAI 2026 MacVQA: Adaptive Memory Allocation and Global Noise Filtering for Continual Visual Question Answering AAAI 2026 MADE: A Living Benchmark for Multi-Label Text Classification with Uncertainty Quantification of Medical Device Adverse Events ACL 2026 MAD: Modality-Adaptive Decoding for Mitigating Cross-Modal Hallucinations in Multimodal Large Language Models CVPR 2026 MAESTRO: Masked AutoEncoders for Multimodal, Multitemporal, and Multispectral Earth Observation Data WACV 2026 MAFM3: Modular Adaptation of Foundation Models for Multi-Modal Medical AI WACV 2026 MageBench: Bridging Large Multimodal Models to Agents WACV 2026 MAGIC: Mastering Physical Adversarial Generation in Context Through Collaborative LLM Agents AAAI 2026 Mamba-Driven Multi-View Discriminative Clustering via Global-Local Cross-View Sequence Modeling AAAI 2026 Mamba Learns in Context: Structure-Aware Domain Generalization for Multi-Task Point Cloud Understanding CVPR 2026 ManiLong-Shot: Interaction-Aware One-Shot Imitation Learning for Long-Horizon Manipulation AAAI 2026 ManipLVM-R1: Reinforcement Learning for Reasoning in Embodied Manipulation with Large Vision-Language Models AAAI 2026 Manipulating the Mind’s Eye: A-SAGE, the Attention-Based Attack on ViT Explainability AAAI 2026 Manipulation Intention Understanding for Zero-Shot Composed Image Retrieval AAAI 2026 MANTA: Physics-Informed Generalized Underwater Object Tracking WACV 2026 Markovian Linguistic-Temporal Bridge: Unlocking the Potential of LLMs for Time Series Forecasting ACL 2026 MARS: Multimodal Adaptive Reasoning Model for Avoiding Overthinking AAAI 2026 MaskAnyNet: Rethinking Masked Image Regions as Valuable Information in Supervised Learning AAAI 2026