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

'10

'15

'20

'25

Papers (including subtopics)

STEM: Unleashing the Power of Embeddings for Multi-Task Recommendation AAAI 2024 STEntConv: Predicting Disagreement between Reddit Users with Stance Detection and a Signed Graph Convolutional Network COLING 2024 Step Differences in Instructional Video CVPR 2024 Sterling: Synergistic Representation Learning on Bipartite Graphs AAAI 2024 Still Not Quite There! Evaluating Large Language Models for Comorbid Mental Health Diagnosis EMNLP 2024 Stochastic Amortization: A Unified Approach to Accelerate Feature and Data Attribution NeurIPS 2024 Stochastic Binary Network for Universal Domain Adaptation WACV 2024 Stochastic Concept Bottleneck Models NeurIPS 2024 Stochastic Conditional Diffusion Models for Robust Semantic Image Synthesis ICML 2024 Stochastic Gradient Descent for Gaussian Processes Done Right ICLR 2024 Stochastic Interpolants with Data-Dependent Couplings ICML 2024 Stochastic Kernel Regularisation Improves Generalisation in Deep Kernel Machines NeurIPS 2024 Stochastic Optimization Algorithms for Instrumental Variable Regression with Streaming Data NeurIPS 2024 StockMixer: A Simple Yet Strong MLP-Based Architecture for Stock Price Forecasting AAAI 2024 Stock Price Prediction with Sentiment Analysis for Chinese Market COLING 2024 Stop Regressing: Training Value Functions via Classification for Scalable Deep RL ICML 2024 Stories and Personal Experiences in the COVID-19 Discourse COLING 2024 Story Embeddings — Narrative-Focused Representations of Fictional Stories EMNLP 2024 Story Morals: Surfacing value-driven narrative schemas using large language models EMNLP 2024 STraDa: A Singer Traits Dataset Interspeech 2024 Strategic Littlestone Dimension: Improved Bounds on Online Strategic Classification NeurIPS 2024 Stratified GNN Explanations through Sufficient Expansion AAAI 2024 Stream-based Active Learning for Anomalous Sound Detection in Machine Condition Monitoring Interspeech 2024 StreamingDialogue: Prolonged Dialogue Learning via Long Context Compression with Minimal Losses NeurIPS 2024 STREAM: Simplified Topic Retrieval, Exploration, and Analysis Module ACL 2024