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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)

On the Vulnerability of Safety Alignment in Open-Access LLMs ACL 2024 On the Worst Prompt Performance of Large Language Models NeurIPS 2024 OntoFact: Unveiling Fantastic Fact-Skeleton of LLMs via Ontology-Driven Reinforcement Learning AAAI 2024 Ontologically Faithful Generation of Non-Player Character Dialogues EMNLP 2024 On Trajectory Augmentations for Off-Policy Evaluation ICLR 2024 On Truthing Issues in Supervised Classification JMLR 2024 On Unsupervised Domain Adaptation: Pseudo Label Guided Mixup for Adversarial Prompt Tuning AAAI 2024 On Weak Regret Analysis for Dueling Bandits NeurIPS 2024 On Zero-Shot Counterspeech Generation by LLMs COLING 2024 OOD Aware Supervised Contrastive Learning WACV 2024 OODRobustBench: a Benchmark and Large-Scale Analysis of Adversarial Robustness under Distribution Shift ICML 2024 OOVs in the Spotlight: How to Inflect Them? COLING 2024 OPDAI at SemEval-2024 Task 6: Small LLMs can Accelerate Hallucination Detection with Weakly Supervised Data SemEval 2024 Open3DIS: Open-Vocabulary 3D Instance Segmentation with 2D Mask Guidance CVPR 2024 Open3DSG: Open-Vocabulary 3D Scene Graphs from Point Clouds with Queryable Objects and Open-Set Relationships CVPR 2024 Open-Book Neural Algorithmic Reasoning NeurIPS 2024 OpenChat: Advancing Open-source Language Models with Mixed-Quality Data ICLR 2024 OpenESS: Event-based Semantic Scene Understanding with Open Vocabularies CVPR 2024 Open Ko-LLM Leaderboard: Evaluating Large Language Models in Korean with Ko-H5 Benchmark ACL 2024 OpenNeRF: Open Set 3D Neural Scene Segmentation with Pixel-Wise Features and Rendered Novel Views ICLR 2024 Open Problem: Optimal Rates for Stochastic Decision-Theoretic Online Learning Under Differentially Privacy COLT 2024 Open Problem: Order Optimal Regret Bounds for Kernel-Based Reinforcement Learning COLT 2024 Open Problem: What is the Complexity of Joint Differential Privacy in Linear Contextual Bandits? COLT 2024 Open-RAG: Enhanced Retrieval Augmented Reasoning with Open-Source Large Language Models EMNLP 2024 OpenSatMap: A Fine-grained High-resolution Satellite Dataset for Large-scale Map Construction NeurIPS 2024