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Core Methods

51,083 papers (8 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Representation Learning (22,308) Classification (15,497) Regression (5,281) Clustering (3,809) Embedding Learning (3,795) Metric Learning (2,938) Graph Neural Networks (1,211) Graphical Models (1,093) Feature Learning (891) Kernel Methods (795) Dimensionality Reduction (780) Interpretability (512) Feature Selection (511) Matrix Factorization (408) Ranking (315) Ensemble Methods (300) Support Vector Machine (295) Anomaly Detection (281) Sequence Modeling (244) Structured Prediction (237) Sequence Labeling (157) Topic Modeling (150) Sparse Coding (140) Matrix Completion (131) Neural Networks (114) Retrieval (105) Density Estimation (104) Estimation (83) Inference (56) Decision Tree (50) Feature Extraction (40) Model Selection (39) Prediction (35) Information Extraction (7)

Papers per year

4
51
357
966
4,853
5,823
2000
'5
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'25

Papers (including subtopics)

Symphony: Symmetry-Equivariant Point-Centered Spherical Harmonics for 3D Molecule Generation ICLR 2024 SymTax: Symbiotic Relationship and Taxonomy Fusion for Effective Citation Recommendation ACL 2024 Synergistic Integration of Coordinate Network and Tensorial Feature for Improving Neural Radiance Fields from Sparse Inputs ICML 2024 SynSP: Synergy of Smoothness and Precision in Pose Sequences Refinement CVPR 2024 T$^2$SQNet: A Recognition Model for Manipulating Partially Observed Transparent Tableware Objects CoRL 2024 T2MAC: Targeted and Trusted Multi-Agent Communication through Selective Engagement and Evidence-Driven Integration AAAI 2024 T5-Medical at SemEval-2024 Task 2: Using T5 Medical Embedding for Natural Language Inference on Clinical Trial Data SemEval 2024 TAAL: Target-Aware Active Learning COLING 2024 TA&AT: Enhancing Task-Oriented Dialog with Turn-Level Auxiliary Tasks and Action-Tree Based Scheduled Sampling AAAI 2024 Tab2Text - A framework for deep learning with tabular data EMNLP 2024 TabEBM: A Tabular Data Augmentation Method with Distinct Class-Specific Energy-Based Models NeurIPS 2024 TableRAG: Million-Token Table Understanding with Language Models NeurIPS 2024 TabRepo: A Large Scale Repository of Tabular Model Evaluations and its AutoML Applications AutoML 2024 TabularBench: Benchmarking Adversarial Robustness for Tabular Deep Learning in Real-world Use-cases NeurIPS 2024 TACIT: A Target-Agnostic Feature Disentanglement Framework for Cross-Domain Text Classification AAAI 2024 Tactile-Augmented Radiance Fields CVPR 2024 Tag2Text: Guiding Vision-Language Model via Image Tagging ICLR 2024 Tag-LLM: Repurposing General-Purpose LLMs for Specialized Domains ICML 2024 TAIA: Large Language Models are Out-of-Distribution Data Learners NeurIPS 2024 Tail-STEAK: Improve Friend Recommendation for Tail Users via Self-Training Enhanced Knowledge Distillation AAAI 2024 TAI++: Text as Image for Multi-Label Image Classification by Co-Learning Transferable Prompt IJCAI 2024 Take Care of Your Prompt Bias! Investigating and Mitigating Prompt Bias in Factual Knowledge Extraction COLING 2024 Talking Heads: Understanding Inter-Layer Communication in Transformer Language Models NeurIPS 2024 Taming Cross-Domain Representation Variance in Federated Prototype Learning with Heterogeneous Data Domains NeurIPS 2024 Taming the Long Tail in Human Mobility Prediction NeurIPS 2024