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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)

Debiasify: Self-Distillation for Unsupervised Bias Mitigation WACV 2025 Debiasing Multilingual LLMs in Cross-lingual Latent Space EMNLP 2025 Debiasing Online Preference Learning via Preference Feature Preservation ACL 2025 Debiasing the Fine-Grained Classification Task in LLMs with Bias-Aware PEFT ACL 2025 Debiasing Trace Guidance: Top-down Trace Distillation and Bottom-up Velocity Alignment for Unsupervised Anomaly Detection ICCV 2025 DecAD: Decoupling Anomalies in Latent Space for Multi-Class Unsupervised Anomaly Detection ICCV 2025 Decentralized and Uncoordinated Learning of Stable Matchings: A Game-Theoretic Approach AAAI 2025 Decentralized Convergence to Equilibrium Prices in Trading Networks AAAI 2025 Decentralized Low-Rank Fine-Tuning of Large Language Models ACL 2025 DecepBench: Benchmarking Multimodal Deception Detection ACL 2025 DecEx-RAG: Boosting Agentic Retrieval-Augmented Generation with Decision and Execution Optimization via Process Supervision EMNLP 2025 DECIDER: Difference-aware Contrastive Diffusion Model with Adversarial Perturbations for Image Change Captioning AAAI 2025 Decision-Aware Preference Modeling for Multi-Behavior Recommendation IJCAI 2025 Decision from Suboptimal Classifiers: Excess Risk Pre- and Post-Calibration AISTATS 2025 Decision-Point Guided Safe Policy Improvement AISTATS 2025 Decision SpikeFormer: Spike-Driven Transformer for Decision Making CVPR 2025 DeCo: Defect-Aware Modeling with Contrasting Matching for Optimizing Task Assignment in Online IC Testing IJCAI 2025 Decoder Gradient Shield: Provable and High-Fidelity Prevention of Gradient-Based Box-Free Watermark Removal CVPR 2025 Decoder-Only LLMs can be Masked Auto-Encoders ACL 2025 Decoding Actionability: A Computational Analysis of Teacher Observation Feedback ACL 2025 Decoding Uncertainty: The Impact of Decoding Strategies for Uncertainty Estimation in Large Language Models EMNLP 2025 Decomposed Distribution Matching in Dataset Condensation WACV 2025 Decomposed Prompting: Probing Multilingual Linguistic Structure Knowledge in Large Language Models IJCNLP 2025 Deconfound Semantic Shift and Incompleteness in Incremental Few-shot Semantic Segmentation AAAI 2025 Deconstructing Denoising Diffusion Models for Self-Supervised Learning ICLR 2025