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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)

Divergent Domains Convergent Grading: Enhancing Generalization in Diabetic Retinopathy Grading WACV 2025 DiverseFlow: Sample-Efficient Diverse Mode Coverage in Flows CVPR 2025 Diverse, not Short: A Length-Controlled Data Selection Strategy for Improving Response Diversity of Language Models EMNLP 2025 Diverse Policies Recovering via Pointwise Mutual Information Weighted Imitation Learning ICLR 2025 Diversification Catalyzes Language Models’ Instruction Generalization To Unseen Semantics ACL 2025 Diversify-verify-adapt: Efficient and Robust Retrieval-Augmented Ambiguous Question Answering NAACL 2025 Diversity-Aware Reinforcement Learning for de novo Drug Design IJCAI 2025 Diversity-Enhanced Distribution Alignment for Dataset Distillation ICCV 2025 Diversity Explains Inference Scaling Laws: Through a Case Study of Minimum Bayes Risk Decoding ACL 2025 Diversity-oriented Data Augmentation with Large Language Models ACL 2025 DivGCL: A Graph Contrastive Learning Model for Diverse Recommendation AAAI 2025 Divide and Conquer: Coordinating Multiplex Mixture of Graph Learners to Handle Multi-Omics Analysis IJCAI 2025 Divide-and-Conquer for Enhancing Unlabeled Learning, Stability, and Plasticity in Semi-supervised Continual Learning ICCV 2025 Divide and Conquer: Heterogeneous Noise Integration for Diffusion-based Adversarial Purification CVPR 2025 Divide and Orthogonalize: Efficient Continual Learning with Local Model Space Projection UAI 2025 Divide, Link, and Conquer: Recall-oriented Schema Linking for NL-to-SQL via Question Decomposition EMNLP 2025 Divide-Solve-Combine: An Interpretable and Accurate Prompting Framework for Zero-shot Multi-Intent Detection AAAI 2025 Divide-Then-Align: Honest Alignment based on the Knowledge Boundary of RAG ACL 2025 Divide-Verify-Refine: Can LLMs Self-align with Complex Instructions? ACL 2025 Diving into the Fusion of Monocular Priors for Generalized Stereo Matching ICCV 2025 DivLogicEval: A Framework for Benchmarking Logical Reasoning Evaluation in Large Language Models EMNLP 2025 DKC: Differentiated Knowledge Consolidation for Cloth-Hybrid Lifelong Person Re-identification CVPR 2025 DKE-Research at SemEval-2025 Task 7: A Unified Multilingual Framework for Cross-Lingual and Monolingual Retrieval with Efficient Language-specific Adaptation SemEval 2025 DKITNLP at ArchEHR-QA 2025: A Retrieval Augmented LLM Pipeline for Evidence-Based Patient Question Answering ACL 2025 DLF: Disentangled-Language-Focused Multimodal Sentiment Analysis AAAI 2025