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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)

Know Thine Enemy: Adaptive Attacks on Misinformation Detection Using Reinforcement Learning ACL 2024 KnowTuning: Knowledge-aware Fine-tuning for Large Language Models EMNLP 2024 KnowVrDU: A Unified Knowledge-aware Prompt-Tuning Framework for Visually-rich Document Understanding COLING 2024 Know Your Neighbors: Improving Single-View Reconstruction via Spatial Vision-Language Reasoning CVPR 2024 KOALA: Empirical Lessons Toward Memory-Efficient and Fast Diffusion Models for Text-to-Image Synthesis NeurIPS 2024 KoCommonGEN v2: A Benchmark for Navigating Korean Commonsense Reasoning Challenges in Large Language Models ACL 2024 KPConvX: Modernizing Kernel Point Convolution with Kernel Attention CVPR 2024 k-SemStamp: A Clustering-Based Semantic Watermark for Detection of Machine-Generated Text ACL 2024 KTCN: Enhancing Open-World Object Detection with Knowledge Transfer and Class-Awareness Neutralization IJCAI 2024 KUL@SMM4H2024: Optimizing Text Classification with Quality-Assured Augmentation Strategies ACL 2024 Kuro Siwo: 33 billion m^2 under the water. A global multi-temporal satellite dataset for rapid flood mapping NeurIPS 2024 L4D-Track: Language-to-4D Modeling Towards 6-DoF Tracking and Shape Reconstruction in 3D Point Cloud Stream CVPR 2024 LAA-Net: Localized Artifact Attention Network for Quality-Agnostic and Generalizable Deepfake Detection CVPR 2024 Label Attentive Distillation for GNN-Based Graph Classification AAAI 2024 Label Confidence Weighted Learning for Target-level Sentence Simplification EMNLP 2024 Label-Efficient Few-Shot Semantic Segmentation with Unsupervised Meta-Training AAAI 2024 Label-Free Synthetic Pretraining of Object Detectors WACV 2024 LabelPrompt: Effective prompt-based learning for relation classification ACML 2024 Label Propagation for Zero-shot Classification with Vision-Language Models CVPR 2024 Labels Need Prompts Too: Mask Matching for Natural Language Understanding Tasks AAAI 2024 Label Supervised Contrastive Learning for Imbalanced Text Classification in Euclidean and Hyperbolic Embedding Spaces EACL 2024 Lacuna Language Learning: Leveraging RNNs for Ranked Text Completion in Digitized Coptic Manuscripts ACL 2024 LAFA: Multimodal Knowledge Graph Completion with Link Aware Fusion and Aggregation AAAI 2024 LAFS: Landmark-based Facial Self-supervised Learning for Face Recognition CVPR 2024 LaKD: Length-agnostic Knowledge Distillation for Trajectory Prediction with Any Length Observations NeurIPS 2024