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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)

Augmented Box Replay: Overcoming Foreground Shift for Incremental Object Detection ICCV 2023 Augmented Memory Replay-based Continual Learning Approaches for Network Intrusion Detection NeurIPS 2023 Augmented Proximal Policy Optimization for Safe Reinforcement Learning AAAI 2023 Augmented Transfer Regression Learning with Semi-non-parametric Nuisance Models JMLR 2023 Augmenters at SemEval-2023 Task 1: Enhancing CLIP in Handling Compositionality and Ambiguity for Zero-Shot Visual WSD through Prompt Augmentation and Text-To-Image Diffusion SemEval 2023 Augmenting Affective Dependency Graph via Iterative Incongruity Graph Learning for Sarcasm Detection AAAI 2023 Augmenting Flight Training with AI to Efficiently Train Pilots AAAI 2023 Augmenting Language Models with Long-Term Memory NeurIPS 2023 Augmenting Large Language Model Translators via Translation Memories ACL 2023 Augmenting Reddit Posts to Determine Wellness Dimensions impacting Mental Health ACL 2023 Augmenting Zero-Shot Dense Retrievers with Plug-in Mixture-of-Memories EMNLP 2023 Augment to Interpret: Unsupervised and Inherently Interpretable Graph Embeddings ACML 2023 A Unified Algorithm Framework for Unsupervised Discovery of Skills based on Determinantal Point Process NeurIPS 2023 A Unified Analysis of Multi-task Functional Linear Regression Models with Manifold Constraint and Composite Quadratic Penalty JMLR 2023 A Unified Analysis of Nonstochastic Delayed Feedback for Combinatorial Semi-Bandits, Linear Bandits, and MDPs COLT 2023 A Unified Approach to Count-Based Weakly Supervised Learning NeurIPS 2023 A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithm NeurIPS 2023 A Unified Continual Learning Framework with General Parameter-Efficient Tuning ICCV 2023 A Unified Framework for Emotion Identification and Generation in Dialogues EACL 2023 A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning JMLR 2023 A Unified Generalization Analysis of Re-Weighting and Logit-Adjustment for Imbalanced Learning NeurIPS 2023 A Unified Generative Approach to Product Attribute-Value Identification ACL 2023 A Unified Theory of Diversity in Ensemble Learning JMLR 2023 A Universal Discriminator for Zero-Shot Generalization ACL 2023 A Universal Unbiased Method for Classification from Aggregate Observations ICML 2023