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

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942

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1,394

2,092

3,114

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5,064

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5,823

1,475

2000

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Papers (including subtopics)

KostasThesis2025 at SemEval-2025 Task 10 Subtask 2: A Continual Learning Approach to Propaganda Analysis in Online News SemEval 2025 KP-PINNs: Kernel Packet Accelerated Physics Informed Neural Networks IJCAI 2025 KRISTEVA: Close Reading as a Novel Task for Benchmarking Interpretive Reasoning ACL 2025 KVFKT: A New Horizon in Knowledge Tracing with Attention-Based Embedding and Forgetting Curve Integration COLING 2025 L3A: Label-Augmented Analytic Adaptation for Multi-Label Class Incremental Learning ICML 2025 L3TC: Leveraging RWKV for Learned Lossless Low-Complexity Text Compression AAAI 2025 LA²I²F at SemEval-2025 Task 5: Reasoning in Embedding Space – Fusing Analogical and Ontology-based Reasoning for Document Subject Tagging SemEval 2025 Label Aggregation for Composite Crowd Tasks by Worker Ability Constraint Satisfaction AAAI 2025 Label Drop for Multi-Aspect Relation Modeling in Universal Information Extraction NAACL 2025 Label-Free Distinctiveness: Building a Continuous Trademark Scale via Synthetic Anchors EMNLP 2025 Label Noise Correction via Fuzzy Learning Machine AAAI 2025 Laboring on less labors: RPCA Paradigm for Pan-sharpening ICCV 2025 LaDi-WM: A Latent Diffusion-Based World Model for Predictive Manipulation CoRL 2025 LADM: Long-context Training Data Selection with Attention-based Dependency Measurement for LLMs ACL 2025 LAGCL4Rec: When LLMs Activate Interactions Potential in Graph Contrastive Learning for Recommendation EMNLP 2025 LaMAGIC2: Advanced Circuit Formulations for Language Model-Based Analog Topology Generation ICML 2025 LaMPlace: Learning to Optimize Cross-Stage Metrics in Macro Placement ICLR 2025 LaMP: Language-Motion Pretraining for Motion Generation, Retrieval, and Captioning ICLR 2025 Language Arithmetics: Towards Systematic Language Neuron Identification and Manipulation IJCNLP 2025 Language-Assisted Feature Transformation for Anomaly Detection ICLR 2025 Language Model Fine-Tuning on Scaled Survey Data for Predicting Distributions of Public Opinions ACL 2025 Language Model Meets Prototypes: Towards Interpretable Text Classification Models through Prototypical Networks AAAI 2025 Language Model Probabilities are Not Calibrated in Numeric Contexts ACL 2025 Language Models are Universal Embedders ACL 2025 Language Models Grow Less Humanlike beyond Phase Transition ACL 2025