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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)

G3R: A Graph-Guided Generate-and-Rerank Framework for Complex and Cross-domain Text-to-SQL Generation ACL 2023 Gacs-Korner Common Information Variational Autoencoder NeurIPS 2023 GaIA: Graphical Information Gain Based Attention Network for Weakly Supervised Point Cloud Semantic Segmentation WACV 2023 GaitGCI: Generative Counterfactual Intervention for Gait Recognition CVPR 2023 GALIP: Generative Adversarial CLIPs for Text-to-Image Synthesis CVPR 2023 GALOPA: Graph Transport Learning with Optimal Plan Alignment NeurIPS 2023 GAM: Gradient Attention Module of Optimization for Point Clouds Analysis AAAI 2023 GAMR: A Guided Attention Model for (visual) Reasoning ICLR 2023 GAN-Based Domain Inference Attack AAAI 2023 GANmouflage: 3D Object Nondetection With Texture Fields CVPR 2023 GANs as Gradient Flows that Converge JMLR 2023 GANTEE: Generative Adversarial Network for Taxonomy Enterance Evaluation AAAI 2023 GAN You See Me? Enhanced Data Reconstruction Attacks against Split Inference NeurIPS 2023 Gap Minimization for Knowledge Sharing and Transfer JMLR 2023 GaPro: Box-Supervised 3D Point Cloud Instance Segmentation Using Gaussian Processes as Pseudo Labelers ICCV 2023 GARI: Graph Attention for Relative Isomorphism of Arabic Word Embeddings EMNLP 2023 GasMono: Geometry-Aided Self-Supervised Monocular Depth Estimation for Indoor Scenes ICCV 2023 GAT: Guided Adversarial Training with Pareto-optimal Auxiliary Tasks ICML 2023 GATITOS: Using a New Multilingual Lexicon for Low-resource Machine Translation EMNLP 2023 GBT: Generative Boosting Training Approach for Paraphrase Identification EMNLP 2023 GCFAgg: Global and Cross-View Feature Aggregation for Multi-View Clustering CVPR 2023 GC-Flow: A Graph-Based Flow Network for Effective Clustering ICML 2023 GC-Hunter at ImageArg Shared Task: Multi-Modal Stance and Persuasiveness Learning EMNLP 2023 GDA: Generative Data Augmentation Techniques for Relation Extraction Tasks ACL 2023 GD-MAE: Generative Decoder for MAE Pre-Training on LiDAR Point Clouds CVPR 2023