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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)

AnoLeaf: Unsupervised Leaf Disease Segmentation via Structurally Robust Generative Inpainting WACV 2023 Anomalous Sound Detection Based on Sound Separation Interspeech 2023 Anomalous Sound Detection Using Self-Attention-Based Frequency Pattern Analysis of Machine Sounds Interspeech 2023 Anomaly Clustering: Grouping Images Into Coherent Clusters of Anomaly Types WACV 2023 Anomaly Detection in 3D Point Clouds Using Deep Geometric Descriptors WACV 2023 Anomaly Detection in Human Brain via Inductive Learning on Temporal Multiplex Networks MLHC 2023 Anomaly Detection Under Distribution Shift ICCV 2023 Anomaly Segmentation for High-Resolution Remote Sensing Images Based on Pixel Descriptors AAAI 2023 Anonymization for Skeleton Action Recognition AAAI 2023 An Optimization-based Algorithm for Non-stationary Kernel Bandits without Prior Knowledge AISTATS 2023 Another Dead End for Morphological Tags? Perturbed Inputs and Parsing ACL 2023 A Novel Approach for Effective Multi-View Clustering with Information-Theoretic Perspective NeurIPS 2023 A Novel Contrastive Learning Method for Clickbait Detection on RoCliCo: A Romanian Clickbait Corpus of News Articles EMNLP 2023 A Novel Framework for Policy Mirror Descent with General Parameterization and Linear Convergence NeurIPS 2023 A Novel Self-training Approach for Low-resource Speech Recognition Interspeech 2023 A Novel Table-to-Graph Generation Approach for Document-Level Joint Entity and Relation Extraction ACL 2023 Answering Ambiguous Questions via Iterative Prompting ACL 2023 Answer Mining from a Pool of Images: Towards Retrieval-Based Visual Question Answering IJCAI 2023 Antarlekhaka: A Comprehensive Tool for Multi-task Natural Language Annotation EMNLP 2023 Anti-DreamBooth: Protecting Users from Personalized Text-to-image Synthesis ICCV 2023 An Unbiased Look at Datasets for Visuo-Motor Pre-Training CoRL 2023 An Unified Framework for Language Guided Image Completion WACV 2023 Anytime Model Selection in Linear Bandits NeurIPS 2023 A Parallel Corpus for Vietnamese Central-Northern Dialect Text Transfer EMNLP 2023 A Partially Observable Monte Carlo Planning Algorithm Based on Path Modification ACML 2023