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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)

MallowsPO: Fine-Tune Your LLM with Preference Dispersions ICLR 2025 MALoRA: Mixture of Asymmetric Low-Rank Adaptation for Enhanced Multi-Task Learning NAACL 2025 MA-LoT: Model-Collaboration Lean-based Long Chain-of-Thought Reasoning enhances Formal Theorem Proving ICML 2025 Mamba-CAD: State Space Model for 3D Computer-Aided Design Generative Modeling AAAI 2025 MambaPro: Multi-Modal Object Re-identification with Mamba Aggregation and Synergistic Prompt AAAI 2025 Mamba-Reg: Vision Mamba Also Needs Registers CVPR 2025 MammAlps: A Multi-view Video Behavior Monitoring Dataset of Wild Mammals in the Swiss Alps CVPR 2025 MAmmoTH-VL: Eliciting Multimodal Reasoning with Instruction Tuning at Scale ACL 2025 MamTiff-CAD: Multi-Scale Latent Diffusion with Mamba+ for Complex Parametric Sequence ICCV 2025 Manhattan Self-Attention Diffusion Residual Networks with Dynamic Bias Rectification for BCI-based Few-Shot Learning AAAI 2025 Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images ICLR 2025 MANTA: A Scalable Pipeline for Transmuting Massive Web Corpora into Instruction Datasets EMNLP 2025 Manta: Enhancing Mamba for Few-Shot Action Recognition of Long Sub-Sequence AAAI 2025 Manual-PA: Learning 3D Part Assembly from Instruction Diagrams ICCV 2025 Many Heads Are Better Than One: Improved Scientific Idea Generation by A LLM-Based Multi-Agent System ACL 2025 Map2Traj: Street Map Piloted Zero-shot Trajectory Generation Method for Wireless Network Optimization IJCAI 2025 MAPF-GPT: Imitation Learning for Multi-Agent Pathfinding at Scale AAAI 2025 MAPLE: A Framework for Active Preference Learning Guided by Large Language Models AAAI 2025 MAPLE: Enhancing Review Generation with Multi-Aspect Prompt LEarning in Explainable Recommendation ACL 2025 MAPLE: Many-Shot Adaptive Pseudo-Labeling for In-Context Learning ICML 2025 Mapping Cross-Lingual Sentence Representations for Low-Resource Language Pairs Using Pre-trained Language Models COLING 2025 Mapping Hymns and Organizing Concepts in the Rigveda: Quantitatively Connecting the Vedic Suktas NAACL 2025 Mapping Smarter, Not Harder: A Test-Time Reinforcement Learning Agent That Improve Without Labels or Model Updates EMNLP 2025 MapQaTor: An Extensible Framework for Efficient Annotation of Map-Based QA Datasets ACL 2025 MAPS: Motivation-Aware Personalized Search via LLM-Driven Consultation Alignment ACL 2025