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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)

MmCows: A Multimodal Dataset for Dairy Cattle Monitoring NeurIPS 2024 MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark NeurIPS 2024 MMM: Generative Masked Motion Model CVPR 2024 MMM: Multi-Layer Multi-Residual Multi-Stream Discrete Speech Representation from Self-supervised Learning Model Interspeech 2024 MM-Point: Multi-View Information-Enhanced Multi-Modal Self-Supervised 3D Point Cloud Understanding AAAI 2024 MM-SAP: A Comprehensive Benchmark for Assessing Self-Awareness of Multimodal Large Language Models in Perception ACL 2024 MMTE: Corpus and Metrics for Evaluating Machine Translation Quality of Metaphorical Language EMNLP 2024 MMVP: A Multimodal MoCap Dataset with Vision and Pressure Sensors CVPR 2024 MM-WLAuslan: Multi-View Multi-Modal Word-Level Australian Sign Language Recognition Dataset NeurIPS 2024 Mobile-Bench: An Evaluation Benchmark for LLM-based Mobile Agents ACL 2024 MobileSpeech: A Fast and High-Fidelity Framework for Mobile Zero-Shot Text-to-Speech ACL 2024 MoCoKGC: Momentum Contrast Entity Encoding for Knowledge Graph Completion EMNLP 2024 MODABS: Multi-Objective Learning for Dynamic Aspect-Based Summarization ACL 2024 Modalities Should Be Appropriately Leveraged: Uncertainty Guidance for Multimodal Chinese Spelling Correction COLING 2024 Modality-Aware Representation Learning for Zero-Shot Sketch-Based Image Retrieval WACV 2024 MoDE: A Mixture-of-Experts Model with Mutual Distillation among the Experts AAAI 2024 MoDE: CLIP Data Experts via Clustering CVPR 2024 MoDE-CoTD: Chain-of-Thought Distillation for Complex Reasoning Tasks with Mixture of Decoupled LoRA-Experts COLING 2024 Mode Estimation with Partial Feedback COLT 2024 Model-Agnostic Cross-Lingual Training for Discourse Representation Structure Parsing COLING 2024 Model Balancing Helps Low-data Training and Fine-tuning EMNLP 2024 Model-based Diffusion for Trajectory Optimization NeurIPS 2024 Model-based Preference Optimization in Abstractive Summarization without Human Feedback EMNLP 2024 Model-Based Transfer Learning for Contextual Reinforcement Learning NeurIPS 2024 Model Decides How to Tokenize: Adaptive DNA Sequence Tokenization with MxDNA NeurIPS 2024