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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)

Task-aware Contrastive Mixture of Experts for Quadruple Extraction in Conversations with Code-like Replies and Non-opinion Detection EMNLP 2025 Task-Aware Prompt Gradient Projection for Parameter-Efficient Tuning Federated Class-Incremental Learning ICCV 2025 Task Calibration: Calibrating Large Language Models on Inference Tasks ACL 2025 Task-driven Image Fusion with Learnable Fusion Loss CVPR 2025 Task Facet Learning: A Structured Approach To Prompt Optimization ACL 2025 TaskGalaxy: Scaling Multi-modal Instruction Fine-tuning with Tens of Thousands Vision Task Types ICLR 2025 taskGen at TSAR 2025 Shared Task Exploring prompt strategies with linguistic knowledge EMNLP 2025 Task-Informed Anti-Curriculum by Masking Improves Downstream Performance on Text ACL 2025 Task Knowledge Injection via Interpolations and Reinstatement for Large Language Model Generalization ACL 2025 Task-level Distributionally Robust Optimization for Large Language Model-based Dense Retrieval AAAI 2025 Task-Oriented Dialog Systems for the Senegalese Wolof Language COLING 2025 Task-Specific Information Decomposition for End-to-End Dense Video Captioning ACL 2025 Task-Specific Preconditioner for Cross-Domain Few-Shot Learning AAAI 2025 Task-Specific Zero-shot Quantization-Aware Training for Object Detection ICCV 2025 Task-wrapped Continual Learning in Task-Oriented Dialogue Systems NAACL 2025 TASO: Task-Aligned Sparse Optimization for Parameter-Efficient Model Adaptation EMNLP 2025 Taste More, Taste Better: Diverse Data and Strong Model Boost Semi-Supervised Crowd Counting CVPR 2025 TAViS: Text-bridged Audio-Visual Segmentation with Foundation Models ICCV 2025 TaxaBind: A Unified Embedding Space for Ecological Applications WACV 2025 TaxaDiffusion: Progressively Trained Diffusion Model for Fine-Grained Species Generation ICCV 2025 TaxoAdapt: Aligning LLM-Based Multidimensional Taxonomy Construction to Evolving Research Corpora ACL 2025 Taxonomy-Driven Knowledge Graph Construction for Domain-Specific Scientific Applications ACL 2025 Taylor Series-Inspired Local Structure Fitting Network for Few-shot Point Cloud Semantic Segmentation AAAI 2025 TBA at BEA 2025 Shared Task: Transfer-Learning from DARE-TIES Merged Models for the Pedagogical Ability Assessment of LLM-Powered Math Tutors ACL 2025 TB-HSU: Hierarchical 3D Scene Understanding with Contextual Affordances AAAI 2025