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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)

Cross-Domain Contrastive Learning for Time Series Clustering AAAI 2024 Cross-Domain Feature Augmentation for Domain Generalization IJCAI 2024 Cross-Feature Contrastive Loss for Decentralized Deep Learning on Heterogeneous Data WACV 2024 Cross Initialization for Face Personalization of Text-to-Image Models CVPR 2024 CrossKD: Cross-Head Knowledge Distillation for Object Detection CVPR 2024 Cross-Layer and Cross-Sample Feature Optimization Network for Few-Shot Fine-Grained Image Classification AAAI 2024 Cross-Level Feature Relocation: Mitigating Information Loss in Cross-Layer Feature Fusion for Crowd Counting ACML 2024 Cross-lingual Contextualized Phrase Retrieval EMNLP 2024 Cross-lingual Emotion Detection through Large Language Models ACL 2024 Cross-lingual Transfer for Automatic Question Generation by Learning Interrogative Structures in Target Languages EMNLP 2024 Cross-Modal and Uni-Modal Soft-Label Alignment for Image-Text Retrieval AAAI 2024 Cross-Modal Feature Distribution Calibration for Few-Shot Visual Question Answering AAAI 2024 Cross-Modality Perturbation Synergy Attack for Person Re-identification NeurIPS 2024 Cross-Modal Match for Language Conditioned 3D Object Grounding AAAI 2024 Cross-Modal Projection in Multimodal LLMs Doesn’t Really Project Visual Attributes to Textual Space ACL 2024 Cross-modal Representation Flattening for Multi-modal Domain Generalization NeurIPS 2024 Cross-model Control: Improving Multiple Large Language Models in One-time Training NeurIPS 2024 Cross-Task Defense: Instruction-Tuning LLMs for Content Safety NAACL 2024 Cross-video Identity Correlating for Person Re-identification Pre-training NeurIPS 2024 Cross-view and Cross-pose Completion for 3D Human Understanding CVPR 2024 CR-UTP: Certified Robustness against Universal Text Perturbations on Large Language Models ACL 2024 CryoGEM: Physics-Informed Generative Cryo-Electron Microscopy NeurIPS 2024 CryoSPIN: Improving Ab-Initio Cryo-EM Reconstruction with Semi-Amortized Pose Inference NeurIPS 2024 CrystalBox: Future-Based Explanations for Input-Driven Deep RL Systems AAAI 2024 CSS: Contrastive Semantic Similarities for Uncertainty Quantification of LLMs UAI 2024