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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)

STAR: Stability-Inducing Weight Perturbation for Continual Learning ICLR 2025 STAR: Strategy-Aware Refinement Module in Multitask Learning for Emotional Support Conversations ACL 2025 START: Self-taught Reasoner with Tools EMNLP 2025 StateCloud at Critical Questions Generation: Prompt Engineering for Critical Question Generation ACL 2025 State space models, emergence, and ergodicity: How many parameters are needed for stable predictions? L4DC 2025 STATE ToxiCN: A Benchmark for Span-level Target-Aware Toxicity Extraction in Chinese Hate Speech Detection ACL 2025 Statistical and Neural Methods for Hawaiian Orthography Modernization EMNLP 2025 Statistical field theory for Markov decision processes under uncertainty JMLR 2025 Statistical Guarantees for Lifelong Reinforcement Learning using PAC-Bayes Theory AISTATS 2025 Statistical Methodologies for Decision-Making and Uncertainty Reduction in Machine Learning AAAI 2025 Statistical Model-driven Similarity Hashing: Bridging Modalities for Efficient Unsupervised Retrieval AAAI 2025 Statistical Tractability of Off-policy Evaluation of History-dependent Policies in POMDPs ICLR 2025 STD-PLM: Understanding Both Spatial and Temporal Properties of Spatial-Temporal Data with PLM AAAI 2025 Steady Progress Beats Stagnation: Mutual Aid of Foundation and Conventional Models in Mixed Domain Semi-Supervised Medical Image Segmentation CVPR 2025 StealthAttack: Robust 3D Gaussian Splatting Poisoning via Density-Guided Illusions ICCV 2025 Stealthy Backdoor Attack in Federated Learning via Adaptive Layer-wise Gradient Alignment ICCV 2025 Stealthy Backdoor Attack in Self-Supervised Learning Vision Encoders for Large Vision Language Models CVPR 2025 STEER-BENCH: A Benchmark for Evaluating the Steerability of Large Language Models EMNLP 2025 Steering LLM Reasoning Through Bias-Only Adaptation EMNLP 2025 Steering Masked Discrete Diffusion Models via Discrete Denoising Posterior Prediction ICLR 2025 Steering No-Regret Agents in MFGs under Model Uncertainty AISTATS 2025 Steinmetz Neural Networks for Complex-Valued Data AISTATS 2025 Stein Variational Evolution Strategies UAI 2025 STEM-LTS: Integrating Semantic-Temporal Dynamics in LLM-driven Time Series Analysis AAAI 2025 STEM-POM: Evaluating Language Models Math-Symbol Reasoning in Document Parsing ACL 2025