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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)

Sam’s Fans at the Crypto Trading Challenge Task: A Threshold-Based Decision Approach Based on FinMem Framework COLING 2025 Samsung Research Poland at SemEval-2025 Task 8: LLM ensemble methods for QA over tabular data SemEval 2025 SAMULE: Self-Learning Agents Enhanced by Multi-level Reflection EMNLP 2025 SANCTUARY: An Efficient Evidence-based Automated Fact Checking System ACL 2025 SAND: Boosting LLM Agents with Self-Taught Action Deliberation EMNLP 2025 Sandhi Splitting in Tamil and Telugu: A Sequence-to-Sequence Approach Leveraging Transformer Models COLING 2025 SANER: Annotation-free Societal Attribute Neutralizer for Debiasing CLIP ICLR 2025 Sanitizing Backdoored Graph Neural Networks: A Multidimensional Approach IJCAI 2025 SAP: Corrective Machine Unlearning with Scaled Activation Projection for Label Noise Robustness AAAI 2025 SASep: Saliency-Aware Structured Separation of Geometry and Feature for Open Set Learning on Point Clouds CVPR 2025 SAS: Segment Any 3D Scene with Integrated 2D Priors ICCV 2025 SATBench: Benchmarking LLMs’ Logical Reasoning via Automated Puzzle Generation from SAT Formulas EMNLP 2025 SatCLIP: Global, General-Purpose Location Embeddings with Satellite Imagery AAAI 2025 SATER: A Self-Aware and Token-Efficient Approach to Routing and Cascading EMNLP 2025 Satisficing Regret Minimization in Bandits ICLR 2025 Scalable Acceleration for Classification-Based Derivative-Free Optimization AAAI 2025 Scalable and Cost Effective High-Cardinality Classification with LLMs via Multi-View Label Representations and Retrieval Augmentation EMNLP 2025 Scalable and Culturally Specific Stereotype Dataset Construction via Human-LLM Collaboration EMNLP 2025 Scalable Data Synthesis through Human-like Cognitive Imitation and Data Recombination EMNLP 2025 Scalable Decentralized Algorithms for Online Personalized Mean Estimation AAAI 2025 Scalable Natural Policy Gradient for General-Sum Linear Quadratic Games with Known Parameters L4DC 2025 Scalable Out-of-Distribution Robustness in the Presence of Unobserved Confounders AISTATS 2025 Scalable Spontaneous Speech Dataset (SSSD): Crowdsourcing Data Collection to Promote Dialogue Research Interspeech 2025 Scalable Trajectory-User Linking with Dual-Stream Representation Networks AAAI 2025 Scalable Universal T-Cell Receptor Embeddings from Adaptive Immune Repertoires ICLR 2025