Search research

Topics & fields

Synthetic Data357 papers Synthetic Data233 papers Synthetic Data Augmentation155 papers Synthetic Dataset54 papers Synthetic Tabular Data42 papers Synthetic Training Data33 papers

1,111–1,140 of 2,587

Papers

SePArate: Segmenting Patterns from Defects in Wafer Manufacturing Using Weak Supervision
Aug 31, 2026Dain Kwon, Changmin Shin, Sunjong Park +5Scalable Defect Detection Semiconductor Manufacturing
Partially Linear Autoencoders for Manifold Learning and Dimensionality Reduction
Aug 30, 2026Louen Pottier, Louis Lesueur, Anders ThorinMasked Autoencoders Dimensionality Reduction
Distillation of Foundation Models for Time-dependent PDEs
Aug 12, 2026Daniel Musekamp, Boshra Ariguib, Andrei Manolache +1Knowledge Distillation Partial Differential Equations
A Structural Dynamics Graph World Model: Unified Modeling, Constrained Rollout, and Interpretable Calibration
Aug 9, 2026Wei Wang, Yaosen Chen, Han Yang +5Dynamics Models World Models
Second Order Drifting Models
Aug 8, 2026Drake Brown, Yuhao Huang, Shih-Hsin Wang +1Generative Models Order
Robust Low-Tubal-Rank Tensor Completion under Cross-Concentrated Sampling
Aug 4, 2026HanQin Cai, Longxiu Huang, Jing Qin +1Tensor Completion Sparse Recovery
Climate-Dyna Deep Hedging for XVAs: Model-Based Reinforcement Learning, Residual Climate HVA, and Hedge-Instrument Discovery
Aug 2, 2026Xiaozhen Wang, Francois Buet-GolfouseClimate Value Functions
MetaRoute-Bench: Evaluating Meta-Decision Policies for Agentic Workflow Routing
Jul 31, 2026Natan Vidra, Alina Kapanova, Arun Kanhai +1One-Shot Routing Agentic Workflows
Who Wins Where? Conformal Model Comparison for Local Superiority
Jul 31, 2026Yi Zhou, Baishi Li, Xuan Yao +1Conformal Inference Model Selection
Improving scDiffusion with Sparsity-Biased Classifier-Free Guidance
Jul 31, 2026Yu Song, Hao Sun, Ikuko Nishikawa +1Single-Cell Rna Sequencing
Normalizing Flows to Reconstruct Pseudo-PDFs
Jul 28, 2026Yamil Cahuana Medrano, Kostas OrginosNormalizing Flows Equivariant Neural Networks
Extending LLM Context via Associative Recurrent Memory
Jul 13, 2026Gleb Kuzmin, Ivan Rodkin, Aydar Bulatov +8Efficient Long-Context Inference Dense Associative Memory
Lighting-Consistent Object Transfer Across Radiance Fields
Jun 21, 2026Nicolás Violante, George Kopanas, Linus Franke +23D Gaussian Splats Wireless Radiance Field
An implicitization-based solution to the minimal 4s/6r ToA problem using Cayley--Menger determinants
Jun 18, 2026Evgeniy MartyushevRobust Localization Exact
Triangular Consistency as a Universal Constraint for Learning Optical Flow
Jun 18, 2026Yi Xiao, Carlos Rodriguez Coronel, Jing Zhan +3Optical Flow Photometric Supervision
BraveGuard: From Open-World Threats to Safer Computer-Use Agents
May 31, 2026Yunhao Feng, Xiaohu Du, Xinhao Deng +13Defense Strategies Threat Models
Path-independent Flow Matching for Multi-parameter Generative Dynamics
May 13, 2026Francisco Téllez, AmirHossein Zamani, Philippe Martin +5Conditional Flow Matching Vector Fields
BFORE: Butterfly-Firefly Optimized Retinex Enhancement for Low-Light Image Quality Improvement
May 5, 2026Ahmed CherifRetinex Theory Low-Light Image Enhancement
DeepTaxon: An Interpretable Retrieval-Augmented Multimodal Framework for Unified Species Identification and Discovery
Apr 27, 2026Jiawei Wang, Ming Lei, Yaning Yang +8Taxonomy Multimodal Retrieval
From Local to Cluster: A Unified Framework for Causal Discovery with Latent Variables
Apr 24, 2026Zongyu LiCausal Foundation Models Causal Inferences
Align and Segment: Unsupervised Learning for Building Segmentation From Misaligned Labels
Jul 12, 2026Venkanna Babu Guthula, Oswin Krause, Dimitri Gominski +5Video-Text Alignment Unsupervised
How Data Shapes RoPE Frequency Usage: From Positional Scale Matching to Length Generalization
Jul 8, 2026Xinyi Wu, Siyuan Liu, Ali JadbabaieRotary Position Embedding Test-Time Scaling
AMNESIA: A Large Scale Medical Unlearning Benchmark Suite with Disease-Informed Analysis
May 28, 2026Saeedeh Davoudi, Reihaneh Iranmanesh, Ophir Frieder +1Unlearning Aims Clinical Notes
PETRA: Transforming Web Text for Petroleum-Engineering Domain Adaptation
Jun 23, 2026Kirill Dubovikov, Omar El Mansouri, Hachem Madmoun +12Domain Adaptation
Graph2Counsel: Clinically Grounded Synthetic Counseling Dialogue Generation from Client Psychological Graphs
Apr 22, 2026Aishik Mandal, Hiba Arnaout, Clarissa W. Ong +5Synthesizing Long-Horizon Campus Psychological Counseling Dialogues Cognitive Behavioral Therapy
SCOUT: Cyclic Causal Discovery Under Soft Interventions with Unknown Targets
May 15, 2026Alpar Turkoglu, Muralikrishnna G. Sethuraman, Faramarz FekriCausal Foundation Models Causal Graph
Early Failure Prediction from Near-Anomaly Detection: A Proactive Approach
Jul 29, 2026L{é}a Billet, Louise Trav{é}-Massuy{è}s, Elodie Chanthery +1Anomaly Detection Anomalous Frame Detection
RIMS: Preference Optimization via Smoothed Multi-pair Aggregation for Small-Scale LLM Retrieval-Augmented Generation
Jul 17, 2026Pei Tian, Zihan Dong, Tianci Liu +2Retrieval-Augmented Generation Systems Small Language Models
Synthetic Electric Vehicle Charging Session Generation Using a Conditional Variational Autoencoder
Sep 15, 2026Graeme Kelly, Emilio J. Palacios-Garcia, Barry P. HayesElectric Vehicles Variational Autoencoder
On Privacy Leakage in Tabular Diffusion Models: Influential Factors, Attacker Knowledge, and Metrics
May 7, 2026Masoumeh Shafieinejad, D. B. Emerson, Behnoosh Zamanlooy +5Efficient Privacy Loss Synthetic Tabular Data

Aug 31, 2026 · cs.CVJ/K move · Enter open · S save

SePArate: Segmenting Patterns from Defects in Wafer Manufacturing Using Weak Supervision

Dain Kwon, Changmin Shin, Sunjong Park, Kanghyun Choi+4

Seoul National University · SK Hynix

In semiconductor manufacturing, defect analysis is essential, but manual inspection cannot scale. However, existing automated inspection methods remain insufficient for root-cause analysis and process optimization. To this end, we present SePArate, a weakly supervised wafer defect segmentation method. SePArate enables pixel-level separation of patterns by leveraging only image-level annotations. It consists of a three-phase training: encoder pretraining, knowledge transfer to learn spatial cues, and training on synthetic mixed-defect data for accurate segmentation. Experiments demonstrate that SePArate outperforms the baselines.

Scalable Defect Detection Semiconductor Manufacturing Defect Weak Supervision Separation

Open paper Ask about it PDF