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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)

Multimodal RewardBench 2: Evaluating Omni Reward Models for Interleaved Text and Image CVPR 2026 Multimodal Table Understanding with Difficulty-aware Reinforcement Learning AAAI 2026 Multi-modal Test-time Adaptation via Adaptive Probabilistic Gaussian Calibration CVPR 2026 Multi-relational Network Autoregression Model with Latent Group Structures JMLR 2026 Multi-Task Test-time Adaptation via Gradient Consensus and Plasticity Constraint AAAI 2026 Multi-View Clustering with Granularity-Aware Pseudo Supervision AAAI 2026 Multi-View Differential Mixing and Graph-Guided Structural Region Selection for Cross-Modal Alignment AAAI 2026 MuSACo: Multimodal Subject-Specific Selection and Adaptation for Expression Recognition with Co-Training WACV 2026 MUSE: Model-based Uncertainty-aware Similarity Estimation for zero-shot 2D Object Detection and Segmentation WACV 2026 MUST: Modality-Specific Representation-Aware Transformer for Diffusion-Enhanced Survival Prediction with Missing Modality CVPR 2026 MVAT: Multi-View Aware Teacher for Weakly Supervised 3D Object Detection WACV 2026 Nature-Inspired Population-Based Evolution of Large Language Models ACL 2026 Near-Optimal Regret for Distributed Adversarial Bandits: A Black-Box Approach COLT 2026 Near-optimal Swap Regret Minimization for Convex Losses COLT 2026 Negative Entity Suppression for Zero-Shot Captioning with Synthetic Images AAAI 2026 Negative Sampling Techniques in Dense Retrieval: A Survey EACL 2026 Neighbor-aware Instance Refining with Noisy Labels for Cross-Modal Retrieval AAAI 2026 Neighbor-aware Label Refinement: Enhancing Unreliable Instance-Dependent Partial Labels AAAI 2026 Nemotron-CrossThink: Scaling Self-Learning beyond Math Reasoning EACL 2026 NERVE: Neighbourhood & Entropy-Guided Random-Walk for Training Free Open-Vocabulary Segmentation WACV 2026 Network Inversion for Uncertainty-Aware Out-of-Distribution Detection (Student Abstract) AAAI 2026 Neural Collapse Priors Driven Trust Semi-Supervised Multi-View Classification AAAI 2026 Neural Exploitation and Exploration of Contextual Bandits JMLR 2026 Neural Routed Boosting: Robust Learning against Heteroscedastic Noise UAI 2026 NeuroBridge: Bio-Inspired Self-Supervised EEG-to-Image Decoding via Cognitive Priors and Bidirectional Semantic Alignment AAAI 2026