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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)

Similarity-aware Probabilistic Embeddings Modeling for Video-Text Retrieval WACV 2026 Similar Region Search using LLMs on Spatial Feature Space EACL 2026 SimLabel: Similarity-Weighted Semi-supervision for Multi-annotator Learning with Missing Labels AAAI 2026 Sim-to-Real: An Unsupervised Noise Layer for Screen-Camera Watermarking Robustness AAAI 2026 Simulation-Driven Railway Delay Prediction: An Imitation Learning Approach AAAI 2026 Simultaneous Blackwell Approachability and Applications to Multiclass Omniprediction COLT 2026 Skeletons Speak Louder than Text: A Motion-Aware Pretraining Paradigm for Video-Based Person Re-Identification AAAI 2026 SkySplat: Generalizable 3D Gaussian Splatting from Multi-Temporal Sparse Satellite Images AAAI 2026 SL-CBM: Enhancing Concept Bottleneck Models with Semantic Locality for Better Interpretability AAAI 2026 SMASH at SemEval-2026 Task 9: Detecting Multilingual Polarisation with Encoder Ensembles and Calibrated Decision Thresholds SemEval 2026 SmokeSVD: Smoke Reconstruction from A Single View via Progressive Novel View Synthesis and Refinement with Diffusion Models CVPR 2026 SMPRO: Self-Supervised Visual Preference Alignment via Differentiable Multi-Preference Multi-Group Ranking AAAI 2026 SOAR: Semi-Supervised Open-Vocabulary Aerial Object Detection via Dual-Aware Enhanced Prior Denoising AAAI 2026 Social Influence-Based Mutual Acknowledgement Token Exchange (Student Abstract) AAAI 2026 SoC: Semantic Orthogonal Calibration for Test-Time Prompt Tuning CVPR 2026 SoliReward: Mitigating Susceptibility to Reward Hacking and Annotation Noise in Video Generation Reward Models CVPR 2026 Solving a Nonlinear Blind Inverse Problem for Tagged MRI with Physics and Deep Generative Priors CVPR 2026 SoS: Analysis of Surface over Semantics in Multilingual Text-To-Image Generation EACL 2026 Sound-AI: A Pedagogical Tool for Exploring AI in Audio and Bioacoustic Research AAAI 2026 SPARE: Single-Pass Annotation with Reference-Guided Evaluation for Automatic Process Supervision and Reward Modelling AAAI 2026 Sparse3DPR: Training-Free 3D Hierarchical Scene Parsing and Task-Adaptive Subgraph Reasoning from Sparse RGB Views AAAI 2026 Sparse Action-Dependent Policy Iteration under Coordination Structures: Convergence and Optimality UAI 2026 Sparse Adapter Fusion for Continual Learning in NLP EACL 2026 Sparse Nonparametric Contextual Bandits ALT 2026 Sparse-RL: Breaking the Memory Wall in LLM Reinforcement Learning via Stable Sparse Rollouts ACL 2026