conftrace_

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

21

30

55

40

51

225

219

249

257

357

364

480

942

818

966

1,394

2,092

3,114

4,415

4,853

5,064

5,371

5,992

6,412

5,823

1,475

2000

'5

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Papers (including subtopics)

Extremal Separation Problems for Temporal Instance Queries IJCAI 2024 Eye-gaze Guided Multi-modal Alignment for Medical Representation Learning NeurIPS 2024 EyeGraph: Modularity-aware Spatio Temporal Graph Clustering for Continuous Event-based Eye Tracking NeurIPS 2024 Eyes Don’t Lie: Subjective Hate Annotation and Detection with Gaze EMNLP 2024 EZ-STANCE: A Large Dataset for English Zero-Shot Stance Detection ACL 2024 Face2QR: A Unified Framework for Aesthetic, Face-Preserving, and Scannable QR Code Generation NeurIPS 2024 FaceCoresetNet: Differentiable Coresets for Face Set Recognition AAAI 2024 FaceRSA: RSA-Aware Facial Identity Cryptography Framework AAAI 2024 FacetCRS: Multi-Faceted Preference Learning for Pricking Filter Bubbles in Conversational Recommender System AAAI 2024 Facilitating Multimodal Classification via Dynamically Learning Modality Gap NeurIPS 2024 Fact-Driven Logical Reasoning for Machine Reading Comprehension AAAI 2024 Factor-Conditioned Speaking-Style Captioning Interspeech 2024 Factorized Diffusion Autoencoder for Unsupervised Disentangled Representation Learning AAAI 2024 FactorizePhys: Matrix Factorization for Multidimensional Attention in Remote Physiological Sensing NeurIPS 2024 FADES: Fair Disentanglement with Sensitive Relevance CVPR 2024 Failures and Successes of Cross-Validation for Early-Stopped Gradient Descent AISTATS 2024 Fair and Optimal Prediction via Post-Processing AAAI 2024 Fair Classification with Partial Feedback: An Exploration-Based Data Collection Approach ICML 2024 FAIR-FER: A Latent Alignment Approach for Mitigating Bias in Facial Expression Recognition (Student Abstract) AAAI 2024 Fair GLASSO: Estimating Fair Graphical Models with Unbiased Statistical Behavior NeurIPS 2024 FairGT: A Fairness-aware Graph Transformer IJCAI 2024 Fair k-center Clustering with Outliers AISTATS 2024 Fair Kernel K-Means: from Single Kernel to Multiple Kernel NeurIPS 2024 Fair Multivariate Adaptive Regression Splines for Ensuring Equity and Transparency AAAI 2024 Fairness-Aware Estimation of Graphical Models NeurIPS 2024