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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)

MoDULA: Mixture of Domain-Specific and Universal LoRA for Multi-Task Learning EMNLP 2024 Modular Adaptation of Multilingual Encoders to Written Swiss German Dialect EACL 2024 Modular Blind Video Quality Assessment CVPR 2024 Modular Pluralism: Pluralistic Alignment via Multi-LLM Collaboration EMNLP 2024 Modulated Phase Diffusor: Content-Oriented Feature Synthesis for Detecting Unknown Objects ICLR 2024 Modulate Your Spectrum in Self-Supervised Learning ICLR 2024 ModWaveMLP: MLP-Based Mode Decomposition and Wavelet Denoising Model to Defeat Complex Structures in Traffic Forecasting AAAI 2024 MoE Jetpack: From Dense Checkpoints to Adaptive Mixture of Experts for Vision Tasks NeurIPS 2024 MOHO: Learning Single-view Hand-held Object Reconstruction with Multi-view Occlusion-Aware Supervision CVPR 2024 Mol-AE: Auto-Encoder Based Molecular Representation Learning With 3D Cloze Test Objective ICML 2024 Moleco: Molecular Contrastive Learning with Chemical Language Models for Molecular Property Prediction EMNLP 2024 Molecular Data Programming: Towards Molecule Pseudo-labeling with Systematic Weak Supervision CVPR 2024 Molecule Design by Latent Prompt Transformer NeurIPS 2024 MolTRES: Improving Chemical Language Representation Learning for Molecular Property Prediction EMNLP 2024 MoMask: Generative Masked Modeling of 3D Human Motions CVPR 2024 MoME: Mixture of Multimodal Experts for Generalist Multimodal Large Language Models NeurIPS 2024 MoML: Online Meta Adaptation for 3D Human Motion Prediction CVPR 2024 MoMu-Diffusion: On Learning Long-Term Motion-Music Synchronization and Correspondence NeurIPS 2024 Monitoring Depression Severity and Symptoms in User-Generated Content: An Annotation Scheme and Guidelines ACL 2024 Monitoring of Perception Systems: Deterministic, Probabilistic, and Learning-Based Fault Detection and Identification (Abstract Reprint) AAAI 2024 MoNMT: Modularly Leveraging Monolingual and Bilingual Knowledge for Neural Machine Translation COLING 2024 Monocular 3D Object Detection With LiDAR Guided Semi Supervised Active Learning WACV 2024 Monocular Event-Based Vision for Obstacle Avoidance with a Quadrotor CoRL 2024 Monoculture in Matching Markets NeurIPS 2024 MonoProb: Self-Supervised Monocular Depth Estimation With Interpretable Uncertainty WACV 2024