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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)

Decomposing Semantic Shifts for Composed Image Retrieval AAAI 2024 De-confounded Data-free Knowledge Distillation for Handling Distribution Shifts CVPR 2024 DeCoOp: Robust Prompt Tuning with Out-of-Distribution Detection ICML 2024 Decouple Content and Motion for Conditional Image-to-Video Generation AAAI 2024 Decoupled Contrastive Learning for Long-Tailed Recognition AAAI 2024 Decoupled Contrastive Multi-View Clustering with High-Order Random Walks AAAI 2024 Decoupled Kullback-Leibler Divergence Loss NeurIPS 2024 Decoupled Optimisation for Long-Tailed Visual Recognition AAAI 2024 Decoupled Pseudo-labeling for Semi-Supervised Monocular 3D Object Detection CVPR 2024 Decoupled Textual Embeddings for Customized Image Generation AAAI 2024 Decoupled Training: Return of Frustratingly Easy Multi-Domain Learning AAAI 2024 Decoupling Representation and Knowledge for Few-Shot Intent Classification and Slot Filling AAAI 2024 Decoupling Semantic Similarity from Spatial Alignment for Neural Networks. NeurIPS 2024 Decoupling User Relationships Guides Information Diffusion Prediction (Student Abstract) AAAI 2024 Deductive Closure Training of Language Models for Coherence, Accuracy, and Updatability ACL 2024 DeepCalliFont: Few-Shot Chinese Calligraphy Font Synthesis by Integrating Dual-Modality Generative Models AAAI 2024 Deep Contrastive Graph Learning with Clustering-Oriented Guidance AAAI 2024 Deep Copula-Based Survival Analysis for Dependent Censoring with Identifiability Guarantees AAAI 2024 Deep Correlated Prompting for Visual Recognition with Missing Modalities NeurIPS 2024 Deep Embedding Clustering Driven by Sample Stability IJCAI 2024 Deep Graph Neural Networks via Posteriori-Sampling-based Node-Adaptative Residual Module NeurIPS 2024 Deep Image Fingerprint: Towards Low Budget Synthetic Image Detection and Model Lineage Analysis WACV 2024 Deep Learning-based Computational Job Market Analysis: A Survey on Skill Extraction and Classification from Job Postings EACL 2024 Deep Learning on Graphs: A Data-Centric Exploration AAAI 2024 Deep Multi-Dimensional Classification with Pairwise Dimension-Specific Features IJCAI 2024