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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)

Uncertainty-Aware Cross-Modal Alignment for Hate Speech Detection COLING 2024 Uncertainty-aware Fine-tuning of Segmentation Foundation Models NeurIPS 2024 Uncertainty Aware Learning for Language Model Alignment ACL 2024 Uncertainty-Aware Source-Free Adaptive Image Super-Resolution with Wavelet Augmentation Transformer CVPR 2024 Uncertainty-Aware Yield Prediction with Multimodal Molecular Features AAAI 2024 Uncertainty-based Offline Variational Bayesian Reinforcement Learning for Robustness under Diverse Data Corruptions NeurIPS 2024 Uncertainty Calibration for Tool-Using Language Agents EMNLP 2024 Uncertainty Estimation in Instance Segmentation With Star-Convex Shapes WACV 2024 Uncertainty-Guided Modal Rebalance for Hateful Memes Detection ACL 2024 Uncertainty-Guided Never-Ending Learning to Drive CVPR 2024 Uncertainty in Language Models: Assessment through Rank-Calibration EMNLP 2024 Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in LLMs NeurIPS 2024 Uncertainty Quantification for Data-Driven Change-Point Learning via Cross-Validation AAAI 2024 Uncertainty Quantification in Heterogeneous Treatment Effect Estimation with Gaussian-Process-Based Partially Linear Model AAAI 2024 Uncertainty Regularized Evidential Regression AAAI 2024 Uncertainty Resolution in Misinformation Detection EACL 2024 Uncertainty-Weighted Loss Functions for Improved Adversarial Attacks on Semantic Segmentation WACV 2024 Unconstrained Stochastic CCA: Unifying Multiview and Self-Supervised Learning ICLR 2024 Uncovering, Explaining, and Mitigating the Superficial Safety of Backdoor Defense NeurIPS 2024 Uncovering the Redundancy in Graph Self-supervised Learning Models NeurIPS 2024 Uncovering What Why and How: A Comprehensive Benchmark for Causation Understanding of Video Anomaly CVPR 2024 Underspecification in Language Modeling Tasks: A Causality-Informed Study of Gendered Pronoun Resolution AAAI 2024 Understanding and Addressing the Under-Translation Problem from the Perspective of Decoding Objective ACL 2024 Understanding and Improving Adversarial Collaborative Filtering for Robust Recommendation NeurIPS 2024 Understanding and Mitigating Language Confusion in LLMs EMNLP 2024