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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)

Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks EMNLP 2024 Graph Anomaly Detection with Diffusion Model-Based Graph Enhancement (Student Abstract) AAAI 2024 Graph-Aware Contrasting for Multivariate Time-Series Classification AAAI 2024 Graph-based Uncertainty Metrics for Long-form Language Model Generations NeurIPS 2024 Graph-based Unsupervised Disentangled Representation Learning via Multimodal Large Language Models NeurIPS 2024 Graph Collaborative Expert Finding with Contrastive Learning IJCAI 2024 Graph Contrastive Invariant Learning from the Causal Perspective AAAI 2024 Graph Contrastive Learning with Reinforcement Augmentation IJCAI 2024 Graph Diffusion Policy Optimization NeurIPS 2024 Graph Disentangled Contrastive Learning with Personalized Transfer for Cross-Domain Recommendation AAAI 2024 Graph Feedback Bandits with Similar Arms UAI 2024 Graph Invariant Learning with Subgraph Co-mixup for Out-of-Distribution Generalization AAAI 2024 Graph Neural Network Explanations are Fragile ICML 2024 Graph Neural Networks for Learning Equivariant Representations of Neural Networks ICLR 2024 Graph Neural Prompting with Large Language Models AAAI 2024 Graph Pruning for Enumeration of Minimal Unsatisfiable Subsets AISTATS 2024 GraphReason: Enhancing Reasoning Capabilities of Large Language Models through A Graph-Based Verification Approach ACL 2024 GRAWA: Gradient-based Weighted Averaging for Distributed Training of Deep Learning Models AISTATS 2024 GREAT Score: Global Robustness Evaluation of Adversarial Perturbation using Generative Models NeurIPS 2024 Greed is All You Need: An Evaluation of Tokenizer Inference Methods ACL 2024 GroCo: Ground Constraint for Metric Self-Supervised Monocular Depth ECCV 2024 Grounding Gaps in Language Model Generations NAACL 2024 GroundVLP: Harnessing Zero-Shot Visual Grounding from Vision-Language Pre-training and Open-Vocabulary Object Detection AAAI 2024 Group and Shuffle: Efficient Structured Orthogonal Parametrization NeurIPS 2024 GroupContrast: Semantic-aware Self-supervised Representation Learning for 3D Understanding CVPR 2024