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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)

An Analysis of Initial Training Strategies for Exemplar-Free Class-Incremental Learning WACV 2024 An Analysis of Multilingual FActScore EMNLP 2024 An Analysis of Quantile Temporal-Difference Learning JMLR 2024 An Analytical Study of Utility Functions in Multi-Objective Reinforcement Learning NeurIPS 2024 An Analytic Solution to Covariance Propagation in Neural Networks AISTATS 2024 An Approach towards Unsupervised Text Simplification on Paragraph-Level for German Texts COLING 2024 An Asymmetric Augmented Self-Supervised Learning Method for Unsupervised Fine-Grained Image Hashing CVPR 2024 An Asymptotic Study of Discriminant and Vote-Averaging Schemes for Randomly-Projected Linear Discriminants JMLR 2024 An Attentive Inductive Bias for Sequential Recommendation beyond the Self-Attention AAAI 2024 An Audit on the Perspectives and Challenges of Hallucinations in NLP EMNLP 2024 AnchorAL: Computationally Efficient Active Learning for Large and Imbalanced Datasets NAACL 2024 Anchor-based Robust Finetuning of Vision-Language Models CVPR 2024 Anchoring Path for Inductive Relation Prediction in Knowledge Graphs AAAI 2024 Ancient Wisdom, Modern Tools: Exploring Retrieval-Augmented LLMs for Ancient Indian Philosophy ACL 2024 AND: Audio Network Dissection for Interpreting Deep Acoustic Models ICML 2024 A Nearly Optimal and Low-Switching Algorithm for Reinforcement Learning with General Function Approximation NeurIPS 2024 ANEDL: Adaptive Negative Evidential Deep Learning for Open-Set Semi-supervised Learning AAAI 2024 An Effective Augmented Lagrangian Method for Fine-Grained Multi-View Optimization AAAI 2024 An Effective Automated Speaking Assessment Approach to Mitigating Data Scarcity and Imbalanced Distribution NAACL 2024 An Effective Deployment of Diffusion LM for Data Augmentation in Low-Resource Sentiment Classification EMNLP 2024 An effective framework for estimating individualized treatment rules NeurIPS 2024 An Effective Local Prototypical Mapping Network for Speech Emotion Recognition Interspeech 2024 An Efficient Memory Module for Graph Few-Shot Class-Incremental Learning NeurIPS 2024 An Efficient Self-Learning Framework For Interactive Spoken Dialog Systems ICML 2024 An Efficient Stochastic Algorithm for Decentralized Nonconvex-Strongly-Concave Minimax Optimization AISTATS 2024