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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)

Prototype Guided Backdoor Defense via Activation Space Manipulation ICCV 2025 Prototype-guided Knowledge Propagation with Adaptive Learning for Lifelong Person Re-identification IJCAI 2025 Prototypical Calibrating Ambiguous Samples for Micro-Action Recognition AAAI 2025 Prototypical Extreme Multi-label Classification with a Dynamic Margin Loss NAACL 2025 Prototypical Replay with Old-class Focusing Knowledge Distillation for Incremental Named Entity Recognition AAAI 2025 ProtoXTM: Cross-Lingual Topic Modeling with Document-Level Prototype-based Contrastive Learning EMNLP 2025 Provable Discriminative Hyperspherical Embedding for Out-of-Distribution Detection AAAI 2025 Provable weak-to-strong generalization via benign overfitting ICLR 2025 Provably Adaptive Average Reward Reinforcement Learning for Metric Spaces UAI 2025 Proverbs Run in Pairs: Evaluating Proverb Translation Capability of Large Language Model ACL 2025 Provoking Multi-modal Few-Shot LVLM via Exploration-Exploitation In-Context Learning CVPR 2025 PRO-VPT: Distribution-Adaptive Visual Prompt Tuning via Prompt Relocation ICCV 2025 ProxAnn: Use-Oriented Evaluations of Topic Models and Document Clustering ACL 2025 Proxy-Driven Robust Multimodal Sentiment Analysis with Incomplete Data ACL 2025 Proxy-informed Bayesian transfer learning with unknown sources UAI 2025 Proxy Tuning for Financial Sentiment Analysis: Overcoming Data Scarcity and Computational Barriers COLING 2025 PSA-SSL: Pose and Size-aware Self-Supervised Learning on LiDAR Point Clouds CVPR 2025 PSBD: Prediction Shift Uncertainty Unlocks Backdoor Detection CVPR 2025 PScalpel: A Machine Learning-based Guider for Protein Phase-Separating Behaviour Alteration AAAI 2025 PseDet: Revisiting the Power of Pseudo Label in Incremental Object Detection ICLR 2025 Pseudo Informative Episode Construction for Few-Shot Class-Incremental Learning AAAI 2025 Pseudo-label Data Construction Method and Syntax-enhanced Model for Chinese Semantic Error Recognition COLING 2025 Pseudo-Label Reconstruction for Partial Multi-Label Learning IJCAI 2025 PseudoMapTrainer: Learning Online Mapping without HD Maps ICCV 2025 Pseudo-SD: Pseudo Controlled Stable Diffusion for Semi-Supervised and Cross-Domain Semantic Segmentation ICCV 2025