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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)

Unsupervised Parsing by Searching for Frequent Word Sequences among Sentences with Equivalent Predicate-Argument Structures ACL 2024 Unsupervised Pretraining for Fact Verification by Language Model Distillation ICLR 2024 Unsupervised Real-Time Hallucination Detection based on the Internal States of Large Language Models ACL 2024 Unsupervised Representation Learning by Balanced Self Attention Matching ECCV 2024 Unsupervised Salient Instance Detection CVPR 2024 Unsupervised Semantic Segmentation Through Depth-Guided Feature Correlation and Sampling CVPR 2024 Unsupervised Sign Language Translation and Generation ACL 2024 Unsupervised stance detection for social media discussions: A generic baseline EACL 2024 Unsupervised Template-assisted Point Cloud Shape Correspondence Network CVPR 2024 Unsupervised Text Representation Learning via Instruction-Tuning for Zero-Shot Dense Retrieval EMNLP 2024 Unsupervised Training Sequence Design: Efficient and Generalizable Agent Training AAAI 2024 Unsupervised Tree Boosting for Learning Probability Distributions JMLR 2024 Unsupervised Universal Image Segmentation CVPR 2024 Unsupervised Zero-Shot Reinforcement Learning via Functional Reward Encodings ICML 2024 Untrained Neural Nets for Snapshot Compressive Imaging: Theory and Algorithms NeurIPS 2024 Unveiling and Mitigating Backdoor Vulnerabilities based on Unlearning Weight Changes and Backdoor Activeness NeurIPS 2024 Unveiling Factual Recall Behaviors of Large Language Models through Knowledge Neurons EMNLP 2024 Unveiling Imitation Learning: Exploring the impact of Data Falsity to Large Language Model ACL 2024 Unveiling Implicit Deceptive Patterns in Multi-Modal Fake News via Neuro-Symbolic Reasoning AAAI 2024 Unveiling In-Context Learning: A Coordinate System to Understand Its Working Mechanism EMNLP 2024 Unveiling Induction Heads: Provable Training Dynamics and Feature Learning in Transformers NeurIPS 2024 Unveiling Opinion Evolution via Prompting and Diffusion for Short Video Fake News Detection ACL 2024 Unveiling Options with Neural Network Decomposition ICLR 2024 Unveiling Project-Specific Bias in Neural Code Models COLING 2024 Unveiling Selection Biases: Exploring Order and Token Sensitivity in Large Language Models ACL 2024