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)

Anchoring Path for Inductive Relation Prediction in Knowledge Graphs AAAI 2024 A Near-optimal Algorithm for Learning Margin Halfspaces with Massart Noise NeurIPS 2024 ANEDL: Adaptive Negative Evidential Deep Learning for Open-Set Semi-supervised Learning AAAI 2024 An Effective Augmented Lagrangian Method for Fine-Grained Multi-View Optimization AAAI 2024 An Effective Automated Speaking Assessment Approach to Mitigating Data Scarcity and Imbalanced Distribution NAACL 2024 An effective framework for estimating individualized treatment rules NeurIPS 2024 An Effective Local Prototypical Mapping Network for Speech Emotion Recognition Interspeech 2024 An Effective Pronunciation Assessment Approach Leveraging Hierarchical Transformers and Pre-training Strategies ACL 2024 An Efficient Prototype-Based Clustering Approach for Edge Pruning in Graph Neural Networks to Battle Over-Smoothing IJCAI 2024 An Efficient Query Optimization Framework Based on MCTS and LTR ACML 2024 An Efficient Subgraph-Inferring Framework for Large-Scale Heterogeneous Graphs AAAI 2024 An Efficient Tester-Learner for Halfspaces ICLR 2024 An Embarrassingly Simple Approach to Enhance Transformer Performance in Genomic Selection for Crop Breeding IJCAI 2024 An Embedding Framework for the Design and Analysis of Consistent Polyhedral Surrogates JMLR 2024 An Empirical Comparison of Vocabulary Expansion and Initialization Approaches For Language Models CoNLL 2024 An Empirical Study of Realized GNN Expressiveness ICML 2024 An End-to-End Approach for Chord-Conditioned Song Generation Interspeech 2024 An end-to-end entity recognition and disambiguation framework for identifying Author Affiliation from literature publications ACL 2024 An End-To-End Graph Attention Network Hashing for Cross-Modal Retrieval NeurIPS 2024 An engine not a camera: Measuring performative power of online search NeurIPS 2024 An Entropy-Based Model for Hierarchical Learning JMLR 2024 A Neural-Guided Dynamic Symbolic Network for Exploring Mathematical Expressions from Data ICML 2024 A Neuro-Symbolic Benchmark Suite for Concept Quality and Reasoning Shortcuts NeurIPS 2024 An Evaluation of Croatian ASR Models for Čakavian Transcription COLING 2024 A new approach for fine-tuning sentence transformers for intent classification and out-of-scope detection tasks EMNLP 2024