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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)

Generative Pre-training for Speech with Flow Matching ICLR 2024 Generative Region-Language Pretraining for Open-Ended Object Detection CVPR 2024 Generative Retrieval Meets Multi-Graded Relevance NeurIPS 2024 Generative Semi-supervised Graph Anomaly Detection NeurIPS 2024 Generator Assisted Mixture of Experts for Feature Acquisition in Batch AAAI 2024 Genetic-guided GFlowNets for Sample Efficient Molecular Optimization NeurIPS 2024 Genie: Generative Interactive Environments ICML 2024 GENOME: Generative Neuro-Symbolic Visual Reasoning by Growing and Reusing Modules ICLR 2024 GENRA: Enhancing Zero-shot Retrieval with Rank Aggregation EMNLP 2024 GenSeg: On Generating Unified Adversary for Segmentation IJCAI 2024 Genuine-Focused Learning using Mask AutoEncoder for Generalized Fake Audio Detection Interspeech 2024 Genuine Knowledge from Practice: Diffusion Test-Time Adaptation for Video Adverse Weather Removal CVPR 2024 Gen-Z: Generative Zero-Shot Text Classification with Contextualized Label Descriptions ICLR 2024 GenZI: Zero-Shot 3D Human-Scene Interaction Generation CVPR 2024 Geo-Encoder: A Chunk-Argument Bi-Encoder Framework for Chinese Geographic Re-Ranking EACL 2024 GeoGPT4V: Towards Geometric Multi-modal Large Language Models with Geometric Image Generation EMNLP 2024 Geometrically-driven Aggregation for Zero-shot 3D Point Cloud Understanding CVPR 2024 Geometric-Averaged Preference Optimization for Soft Preference Labels NeurIPS 2024 Geometric Trajectory Diffusion Models NeurIPS 2024 Geometry Cloak: Preventing TGS-based 3D Reconstruction from Copyrighted Images NeurIPS 2024 GerDISDETECT: A German Multilabel Dataset for Disinformation Detection COLING 2024 German Text Simplification: Finetuning Large Language Models with Semi-Synthetic Data EACL 2024 GeSS: Benchmarking Geometric Deep Learning under Scientific Applications with Distribution Shifts NeurIPS 2024 Get a Head Start: On-Demand Pedagogical Policy Selection in Intelligent Tutoring AAAI 2024 Get rich quick: exact solutions reveal how unbalanced initializations promote rapid feature learning NeurIPS 2024