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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)

Unsupervised Anomaly Detection Algorithms on Real-world Data: How Many Do We Need? JMLR 2024 Unsupervised Anomaly Detection in The Presence of Missing Values NeurIPS 2024 Unsupervised Anomaly Detection via Masked Diffusion Posterior Sampling IJCAI 2024 Unsupervised Authorship Attribution for Medieval Latin Using Transformer-Based Embeddings COLING 2024 Unsupervised Blind Image Deblurring Based on Self-Enhancement CVPR 2024 Unsupervised Change Point Detection in Multivariate Time Series AISTATS 2024 Unsupervised Concept Discovery Mitigates Spurious Correlations ICML 2024 Unsupervised Continual Anomaly Detection with Contrastively-Learned Prompt AAAI 2024 Unsupervised Contrast-Consistent Ranking with Language Models EACL 2024 Unsupervised Cross-Domain Image Retrieval via Prototypical Optimal Transport AAAI 2024 Unsupervised Deep Graph Structure and Embedding Learning IJCAI 2024 Unsupervised Deep Learning Method for Bias Correction MIDL 2024 Unsupervised Deep Unrolling Networks for Phase Unwrapping CVPR 2024 Unsupervised Discrete Representations of American Sign Language EMNLP 2024 Unsupervised Distractor Generation via Large Language Model Distilling and Counterfactual Contrastive Decoding ACL 2024 Unsupervised Domain Adaptation for Keyphrase Generation using Citation Contexts EMNLP 2024 Unsupervised Domain Adaptation for Semantic Segmentation With Pseudo Label Self-Refinement WACV 2024 Unsupervised Domain Adaptation for Speech Emotion Recognition using K-Nearest Neighbors Voice Conversion Interspeech 2024 Unsupervised Domain Adaptation of MRI Skull-Stripping Trained on Adult Data to Newborns WACV 2024 Unsupervised Domain Adaptative Temporal Sentence Localization with Mutual Information Maximization AAAI 2024 Unsupervised End-to-End Task-Oriented Dialogue with LLMs: The Power of the Noisy Channel EMNLP 2024 Unsupervised Evaluation of Code LLMs with Round-Trip Correctness ICML 2024 Unsupervised Event-Based Video Reconstruction WACV 2024 Unsupervised Extraction of Dialogue Policies from Conversations EMNLP 2024 Unsupervised Extractive Summarization with Learnable Length Control Strategies AAAI 2024