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Learning Types

32,670 papers (1 classified directly here)

Representation Learning (5,307) Multimodal Learning (3,969) Self-Supervised Learning (3,492) Transfer Learning (2,890) Adversarial Learning (2,199) Deep Learning (1,883) Contrastive Learning (1,730) Reinforcement Learning (1,500) Knowledge Distillation (1,494) Fine-Tuning (1,117) Multi-Task Learning (1,069) Domain Adaptation (977) Zero-Shot Learning (758) Unsupervised Learning (734) Few-Shot Learning (694) Classification (621) Retrieval-Augmented Generation (606) Data Augmentation (583) Semi-Supervised Learning (450) Weakly Supervised Learning (429) Continual Learning (408) In-Context Learning (387) Sequence Modeling (375) Meta-Learning (252) Metric Learning (232) Ensemble Learning (223) Federated Learning (215) Multi-Lingual Learning (199) Robustness (197) Parameter-Efficient Fine-Tuning (190) Imitation Learning (180) Prompt Engineering (170) Chain-of-Thought Reasoning (153) Curriculum Learning (146) Synthetic Data Generation (143) Reinforcement Learning from Human Feedback (141) Multi-Label Classification (123) Regression (117) Generative Model (109) Semantic Segmentation (106) Domain Generalization (105) Uncertainty Quantification (98) Controllable Generation (93) Text Generation (86) Neural Architecture Search (80) Object Detection (80) Image Generation (79) Multi-Agent Systems (76) Feature Learning (74) Preference Learning (73) Machine Translation (71) Out-of-Distribution Detection (68) Machine Unlearning (63) Generation (61) Reasoning (54) Multi-View Learning (53) Time Series (52) Instruction Tuning (50) Distributed Learning (50) Image Restoration (49) Chain-of-Thought (48) Active Learning (47) Text Classification (43) Distribution Shift (43) Structured Prediction (42) Clustering (41) Image Classification (40) Model Merging (37) Sparse Learning (36) Sequence Labeling (36) Multi-Instance Learning (35) Anomaly Detection (33) Image Processing (33) Code Generation (31) Fairness (30) Robust Learning (28) Multi-Domain Learning (27) Supervised Learning (26) Model-Based RL (25) Natural Language Generation (24) Privacy (21) Multi-Objective Optimization (19) Multi-Scale Learning (19) Neural Machine Translation (18) Causal Inference (14) Instance Segmentation (9) Interactive Learning (9) Multi-Label Learning (9) Multi-Source Learning (9) Multi-Class Classification (8)
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Papers (including subtopics)

GOVERN: Gradient Orientation Vote Ensemble for Multi-Teacher Reinforced Distillation EMNLP 2024 GPT4Point: A Unified Framework for Point-Language Understanding and Generation CVPR 2024 GPT vs RETRO: Exploring the Intersection of Retrieval and Parameter-Efficient Fine-Tuning EMNLP 2024 Gradient-based Parameter Selection for Efficient Fine-Tuning CVPR 2024 Gradient Localization Improves Lifelong Pretraining of Language Models EMNLP 2024 Gradient Reweighting: Towards Imbalanced Class-Incremental Learning CVPR 2024 Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks EMNLP 2024 Graph2Tac: Online Representation Learning of Formal Math Concepts ICML 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 Prediction and Planning Policy Network (GP3Net) for Scalable Self-Driving in Dynamic Environments Using Deep Reinforcement Learning AAAI 2024 Graph-based Uncertainty Metrics for Long-form Language Model Generations NeurIPS 2024 Graph Clustering Methods Derived from Column Subset Selection (Student Abstract) AAAI 2024 Graph Contrastive Invariant Learning from the Causal Perspective AAAI 2024 Graph Contrastive Learning under Heterophily via Graph Filters UAI 2024 GraphCroc: Cross-Correlation Autoencoder for Graph Structural Reconstruction NeurIPS 2024 Graph Disentangled Contrastive Learning with Personalized Transfer for Cross-Domain Recommendation AAAI 2024 Graph Generation with K^2-trees ICLR 2024 Graph Invariant Learning with Subgraph Co-mixup for Out-of-Distribution Generalization AAAI 2024 GraphQL Query Generation: A Large Training and Benchmarking Dataset EMNLP 2024 GraphVis: Boosting LLMs with Visual Knowledge Graph Integration NeurIPS 2024 GraspSplats: Efficient Manipulation with 3D Feature Splatting CoRL 2024 GREAT Score: Global Robustness Evaluation of Adversarial Perturbation using Generative Models NeurIPS 2024 Greenback Bears and Fiscal Hawks: Finance is a Jungle and Text Embeddings Must Adapt EMNLP 2024 GRIT: GAN Residuals for Paired Image-to-Image Translation WACV 2024