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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)

SAM Fewshot Finetuning for Anatomical Segmentation in Medical Images WACV 2024 SAMFlow: Eliminating Any Fragmentation in Optical Flow with Segment Anything Model AAAI 2024 SAM-Guided Masked Token Prediction for 3D Scene Understanding NeurIPS 2024 SAM-PARSER: Fine-Tuning SAM Efficiently by Parameter Space Reconstruction AAAI 2024 Sample Complexity of Algorithm Selection Using Neural Networks and Its Applications to Branch-and-Cut NeurIPS 2024 Sample Complexity of Neural Policy Mirror Descent for Policy Optimization on Low-Dimensional Manifolds JMLR 2024 Sample Design Engineering: An Empirical Study on Designing Better Fine-Tuning Samples for Information Extraction with LLMs EMNLP 2024 Sample-specific Masks for Visual Reprogramming-based Prompting ICML 2024 Samsung R&D Institute Philippines @ WMT 2024 Indic MT Task EMNLP 2024 Sandalphon@DravidianLangTech-EACL2024: Hate and Offensive Language Detection in Telugu Code-mixed Text using Transliteration-Augmentation EACL 2024 Sandwich attack: Multi-language Mixture Adaptive Attack on LLMs NAACL 2024 SAOR: Single-View Articulated Object Reconstruction CVPR 2024 SARCAT: Generative Span-Act Guided Response Generation using Copy-enhanced Target Augmentation EMNLP 2024 SaSR-Net: Source-Aware Semantic Representation Network for Enhancing Audio-Visual Question Answering EMNLP 2024 Satyrn: A Platform for Analytics Augmented Generation EMNLP 2024 Say Anything with Any Style AAAI 2024 Scalable Early Childhood Reading Performance Prediction NeurIPS 2024 Scalable Fine-tuning from Multiple Data Sources: A First-Order Approximation Approach EMNLP 2024 Scale and Direction Guided GAN for Inertial Sensor Signal Enhancement IJCAI 2024 ScaLearn: Simple and Highly Parameter-Efficient Task Transfer by Learning to Scale ACL 2024 Scale-Free Image Keypoints Using Differentiable Persistent Homology ICML 2024 ScaleKD: Strong Vision Transformers Could Be Excellent Teachers NeurIPS 2024 Scaling and Masking: A New Paradigm of Data Sampling for Image and Video Quality Assessment AAAI 2024 Scaling Down Deep Learning with MNIST-1D ICML 2024 Scaling Laws of Synthetic Images for Model Training ... for Now CVPR 2024