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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)

Locality Sensitive Sparse Encoding for Learning World Models Online ICLR 2024 Localization and Manipulation of Immoral Visual Cues for Safe Text-to-Image Generation WACV 2024 Localization Is All You Evaluate: Data Leakage in Online Mapping Datasets and How to Fix It CVPR 2024 Localized Adaptive Risk Control NeurIPS 2024 Localized Zeroth-Order Prompt Optimization NeurIPS 2024 Localizing Memorization in SSL Vision Encoders NeurIPS 2024 Local Linearity: the Key for No-regret Reinforcement Learning in Continuous MDPs NeurIPS 2024 Locally Adaptive Neural 3D Morphable Models CVPR 2024 Locally Differentially Private In-Context Learning COLING 2024 Locally Measuring Cross-lingual Lexical Alignment: A Domain and Word Level Perspective EMNLP 2024 Locating What You Need: Towards Adapting Diffusion Models to OOD Concepts In-the-Wild NeurIPS 2024 Location-Aware Self-Supervised Transformers for Semantic Segmentation WACV 2024 Logarithmic Smoothing for Pessimistic Off-Policy Evaluation, Selection and Learning NeurIPS 2024 Log Barriers for Safe Black-box Optimization with Application to Safe Reinforcement Learning JMLR 2024 Logging Keystrokes in Writing by English Learners COLING 2024 LogicAsker: Evaluating and Improving the Logical Reasoning Ability of Large Language Models EMNLP 2024 LogiCity: Advancing Neuro-Symbolic AI with Abstract Urban Simulation NeurIPS 2024 LogicST: A Logical Self-Training Framework for Document-Level Relation Extraction with Incomplete Annotations EMNLP 2024 LogogramNLP: Comparing Visual and Textual Representations of Ancient Logographic Writing Systems for NLP ACL 2024 LogoStyleFool: Vitiating Video Recognition Systems via Logo Style Transfer AAAI 2024 Long-Context Language Modeling with Parallel Context Encoding ACL 2024 LongDocFACTScore: Evaluating the Factuality of Long Document Abstractive Summarisation COLING 2024 LongForm: Effective Instruction Tuning with Reverse Instructions EMNLP 2024 Long-form factuality in large language models NeurIPS 2024 Long-Horizon Planning for Multi-Agent Robots in Partially Observable Environments NeurIPS 2024