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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)

Towards Robust Defense against Customization via Protective Perturbation Resistant to Diffusion-based Purification ICCV 2025 Towards Robust, Efficient, and Practical Decision-Making: From Reward-Maximizing Deep Reinforcement Learning to Reward-Matching GFlowNets AAAI 2025 Towards Robust Incremental Learning Under Ambiguous Supervision IJCAI 2025 Towards Robust Knowledge Unlearning: An Adversarial Framework for Assessing and Improving Unlearning Robustness in Large Language Models AAAI 2025 Towards Robust Mathematical Reasoning EMNLP 2025 Towards Robust Multimodal Open-set Test-time Adaptation via Adaptive Entropy-aware Optimization ICLR 2025 Towards Robust Sentiment Analysis of Temporally-Sensitive Policy-Related Online Text ACL 2025 Towards Robust Training via Gradient-Diversified Backpropagation WACV 2025 Towards Robust Universal Information Extraction: Dataset, Evaluation, and Solution ACL 2025 Towards S²-Challenges Underlying LLM-Based Augmentation for Personalized News Recommendation AAAI 2025 (Towards) Scalable Reliable Automated Evaluation with Large Language Models ACL 2025 Towards Scalable Topological Regularizers ICLR 2025 Towards Self-Supervised Covariance Estimation in Deep Heteroscedastic Regression ICLR 2025 Towards Ship License Plate Recognition in the Wild: A Large Benchmark and Strong Baseline AAAI 2025 Towards Smart Point-and-Shoot Photography CVPR 2025 Towards Source-Free Machine Unlearning CVPR 2025 Towards Statistical Factuality Guarantee for Large Vision-Language Models EMNLP 2025 Towards Style Alignment in Cross-Cultural Translation ACL 2025 Toward Structured Knowledge Reasoning: Contrastive Retrieval-Augmented Generation on Experience ACL 2025 Towards Unbiased and Robust Spatio-Temporal Scene Graph Generation and Anticipation CVPR 2025 Towards Unbiased Continual Learning: Avoiding Forgetting in the Presence of Spurious Correlations WACV 2025 Towards Unbiased Information Extraction and Adaptation in Cross-Domain Recommendation AAAI 2025 Towards Unbiased Learning in Semi-Supervised Semantic Segmentation ICLR 2025 Towards Understanding Fine-Tuning Mechanisms of LLMs via Circuit Analysis ICML 2025 Towards Understanding Multi-Task Learning (Generalization) of LLMs via Detecting and Exploring Task-Specific Neurons COLING 2025