Deep Learning

Scalable Out-of-Distribution Robustness in the Presence of Unobserved Confounders AISTATS 2025 Scalable Primal Heuristics Using Graph Neural Networks for Combinatorial Optimization (Abstract Reprint) IJCAI 2025 Scalable Quantum-Inspired Optimization Through Dynamic Qubit Compression AAAI 2025 Scalable Ranked Preference Optimization for Text-to-Image Generation ICCV 2025 Scalable Surrogate Verification of Image-Based Neural Network Control Systems Using Composition and Unrolling AAAI 2025 Scalable Trajectory-User Linking with Dual-Stream Representation Networks AAAI 2025 Scalable Video-to-Dataset Generation for Cross-Platform Mobile Agents CVPR 2025 Scalable Vision Language Model Training via High Quality Data Curation ACL 2025 Scale Efficient Training for Large Datasets CVPR 2025 ScaleLSD: Scalable Deep Line Segment Detection Streamlined CVPR 2025 ScaleOT: Privacy-utility-scalable Offsite-tuning with Dynamic LayerReplace and Selective Rank Compression AAAI 2025 SCALE: Towards Collaborative Content Analysis in Social Science with Large Language Model Agents and Human Intervention ACL 2025 Scale Your Instructions: Enhance the Instruction-Following Fidelity of Unified Image Generation Model by Self-Adaptive Attention Scaling ICCV 2025 Scaling 3D Compositional Models for Robust Classification and Pose Estimation ICCV 2025 Scaling Action Detection: AdaTAD++ with Transformer-Enhanced Temporal-Spatial Adaptation ICCV 2025 Scaling and Prompting for Improved End-to-End Spoken Grammatical Error Correction Interspeech 2025 Scaling beyond Denoising: Submitted System and Findings in URGENT Challenge 2025 Interspeech 2025 Scaling Capability in Token Space: An Analysis of Large Vision Language Model JMLR 2025 Scaling Collapse Reveals Universal Dynamics in Compute-Optimally Trained Neural Networks ICML 2025 Scaling Combinatorial Optimization Neural Improvement Heuristics with Online Search and Adaptation AAAI 2025 Scaling Context, Not Parameters: Training a Compact 7B Language Model for Efficient Long-Context Processing ACL 2025 Scaling Diffusion Language Models via Adaptation from Autoregressive Models ICLR 2025 Scaling Diffusion Mamba with Bidirectional SSMs for Efficient 3D Shape Generation AAAI 2025 Scaling Down, Serving Fast: Compressing and Deploying Efficient LLMs for Recommendation Systems EMNLP 2025 Scaling Down Text Encoders of Text-to-Image Diffusion Models CVPR 2025