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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)

SplatFlow: Self-Supervised Dynamic Gaussian Splatting in Neural Motion Flow Field for Autonomous Driving CVPR 2025 Splintering Nonconcatenative Languages for Better Tokenization ACL 2025 Split Adaptation for Pre-trained Vision Transformers CVPR 2025 SPMC: Self-Purifying Federated Backdoor Defense via Margin Contribution ICML 2025 SPMTrack: Spatio-Temporal Parameter-Efficient Fine-Tuning with Mixture of Experts for Scalable Visual Tracking CVPR 2025 Spoken Document Retrieval for an Unwritten Language: A Case Study on Gormati EMNLP 2025 Spontaneous Giving and Calculated Greed in Language Models EMNLP 2025 SPOT: Zero-Shot Semantic Parsing Over Property Graphs ACL 2025 SPPD: Self-training with Process Preference Learning Using Dynamic Value Margin EMNLP 2025 Spread Preference Annotation: Direct Preference Judgment for Efficient LLM Alignment ICLR 2025 SPU-IMR: Self-supervised Arbitrary-scale Point Cloud Upsampling via Iterative Mask-recovery Network AAAI 2025 Spurious Correlations and Beyond: Understanding and Mitigating Shortcut Learning in SDOH Extraction with Large Language Models ACL 2025 Spurious Forgetting in Continual Learning of Language Models ICLR 2025 SQLong: Enhanced NL2SQL for Longer Contexts with LLMs ACL 2025 SQLWOZ: A Realistic Task-Oriented Dialogue Dataset with SQL-Based Dialogue State Representation for Complex User Requirements EMNLP 2025 SQUARE: Unsupervised Retrieval Adaptation via Synthetic Data EMNLP 2025 SQUiD: Synthesizing Relational Databases from Unstructured Text EMNLP 2025 SQUREL at TSAR 2025 Shared Task CEFR-Controlled Text Simplification with Prompting and Reinforcement Fine-Tuning EMNLP 2025 SRA-MCTS: Self-driven Reasoning Augmentation with Monte Carlo Tree Search for Code Generation IJCAI 2025 SRSA: Skill Retrieval and Adaptation for Robotic Assembly Tasks ICLR 2025 SSA-COMET: Do LLMs Outperform Learned Metrics in Evaluating MT for Under-Resourced African Languages? EMNLP 2025 SSA: Semantic Contamination of LLM-Driven Fake News Detection EMNLP 2025 SSHNet: Unsupervised Cross-modal Homography Estimation via Problem Reformulation and Split Optimization CVPR 2025 SSLAM: Enhancing Self-Supervised Models with Audio Mixtures for Polyphonic Soundscapes ICLR 2025 SSL-STMFormer Self-Supervised Learning Spatio-Temporal Entanglement Transformer for Traffic Flow Prediction AAAI 2025