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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)

Mitigating Pervasive Modality Absence Through Multimodal Generalization and Refinement AAAI 2025 Mitigating Shortcut Learning via Smart Data Augmentation based on Large Language Model COLING 2025 Mitigating Shortcut Learning with InterpoLated Learning ACL 2025 Mitigating Spurious Correlations in Zero-Shot Multimodal Models ICLR 2025 Mitigating Spurious Correlations via Counterfactual Contrastive Learning EMNLP 2025 Mitigating the Human-Robot Domain Discrepancy in Visual Pre-training for Robotic Manipulation CVPR 2025 Mitigating the Privacy Issues in Retrieval-Augmented Generation (RAG) via Pure Synthetic Data EMNLP 2025 Mitigating Visual Knowledge Forgetting in MLLM Instruction-tuning via Modality-decoupled Gradient Descent EMNLP 2025 Mix-CPT: A Domain Adaptation Framework via Decoupling Knowledge Learning and Format Alignment ICLR 2025 MixDiff: Mixing Natural and Synthetic Images for Robust Self-Supervised Representations WACV 2025 Mixed-Feature Logistic Regression Robust to Distribution Shifts AISTATS 2025 MixerMDM: Learnable Composition of Human Motion Diffusion Models CVPR 2025 Mixing Inference-time Experts for Enhancing LLM Reasoning EMNLP 2025 Mixture-of-Attack-Experts with Class Regularization for Unified Physical-Digital Face Attack Detection AAAI 2025 Mixture-of-Clustered-Experts: Advancing Expert Specialization and Generalization in Instruction Tuning EMNLP 2025 Mixture of Decoding: An Attention-Inspired Adaptive Decoding Strategy to Mitigate Hallucinations in Large Vision-Language Models ACL 2025 Mixture of Experts as Representation Learner for Deep Multi-View Clustering AAAI 2025 Mixture of Experts Based Multi-Task Supervise Learning from Crowds AAAI 2025 Mixture of Experts Guided by Gaussian Splatters Matters: A new Approach to Weakly-Supervised Video Anomaly Detection ICCV 2025 Mixture of In-Context Prompters for Tabular PFNs ICLR 2025 Mixture of Languages: Improved Multilingual Encoders Through Language Grouping EMNLP 2025 Mixture of LoRA Experts for Continual Information Extraction with LLMs EMNLP 2025 Mixture of LoRA Experts for Low-Resourced Multi-Accent Automatic Speech Recognition Interspeech 2025 Mixture of Online and Offline Experts for Non-Stationary Time Series AAAI 2025 Mixture of Ordered Scoring Experts for Cross-prompt Essay Trait Scoring ACL 2025