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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)

MuseCL: Predicting Urban Socioeconomic Indicators via Multi-Semantic Contrastive Learning IJCAI 2024 Musical Phrase Segmentation via Grammatical Induction IJCAI 2024 MusicFlow: Cascaded Flow Matching for Text Guided Music Generation ICML 2024 MutaPLM: Protein Language Modeling for Mutation Explanation and Engineering NeurIPS 2024 Mutli-Armed Bandits with Network Interference NeurIPS 2024 Mutual-Modality Adversarial Attack with Semantic Perturbation AAAI 2024 MVP-Bench: Can Large Vision-Language Models Conduct Multi-level Visual Perception Like Humans? EMNLP 2024 MWSIS: Multimodal Weakly Supervised Instance Segmentation with 2D Box Annotations for Autonomous Driving AAAI 2024 “My Answer is C”: First-Token Probabilities Do Not Match Text Answers in Instruction-Tuned Language Models ACL 2024 My Science Tutor (MyST)–a Large Corpus of Children’s Conversational Speech COLING 2024 MYTE: Morphology-Driven Byte Encoding for Better and Fairer Multilingual Language Modeling ACL 2024 Named Entity Driven Zero-Shot Image Manipulation CVPR 2024 Narrative-of-Thought: Improving Temporal Reasoning of Large Language Models via Recounted Narratives EMNLP 2024 Narrowing the Gap between Supervised and Unsupervised Sentence Representation Learning with Large Language Model AAAI 2024 NaturalBench: Evaluating Vision-Language Models on Natural Adversarial Samples NeurIPS 2024 NaturalCodeBench: Examining Coding Performance Mismatch on HumanEval and Natural User Queries ACL 2024 Natural Language Decomposition and Interpretation of Complex Utterances IJCAI 2024 Natural Light Can Also Be Dangerous: Traffic Sign Misinterpretation Under Adversarial Natural Light Attacks WACV 2024 NaturalSpeech 2: Latent Diffusion Models are Natural and Zero-Shot Speech and Singing Synthesizers ICLR 2024 Navigate Beyond Shortcuts: Debiased Learning Through the Lens of Neural Collapse CVPR 2024 Navigating Continual Test-time Adaptation with Symbiosis Knowledge IJCAI 2024 Navigating Noisy Feedback: Enhancing Reinforcement Learning with Error-Prone Language Models EMNLP 2024 Navigating Open Set Scenarios for Skeleton-Based Action Recognition AAAI 2024 Navigating Prompt Complexity for Zero-Shot Classification: A Study of Large Language Models in Computational Social Science COLING 2024 Navigating Real-World Partial Label Learning: Unveiling Fine-Grained Images with Attributes AAAI 2024