Papers
Adaptive Constraint Partition Based Optimization Framework for Large-Scale Integer Linear Programming (Student Abstract)
Huigen Ye, Hongyan Wang, Hua Xu et al.
Adaptive Discrete Communication Bottlenecks with Dynamic Vector Quantization for Heterogeneous Representational Coarseness
Dianbo Liu, Alex Lamb, Xu Ji et al.
Adaptive Dynamic Filtering Network for Image Denoising
Hao Shen, Zhong-Qiu Zhao, Wandi Zhang
Adaptive Hierarchy-Branch Fusion for Online Knowledge Distillation
Linrui Gong, Shaohui Lin, Baochang Zhang et al.
Adaptive Low-Precision Training for Embeddings in Click-Through Rate Prediction
Shiwei Li, Huifeng Guo, Lu Hou et al.
Adaptive Mixing of Auxiliary Losses in Supervised Learning
Durga Sivasubramanian, Ayush Maheshwari, Prathosh AP et al.
Adaptive Perturbation-Based Gradient Estimation for Discrete Latent Variable Models
Pasquale Minervini, Luca Franceschi, Mathias Niepert
Adaptive Policy Learning for Offline-to-Online Reinforcement Learning
Han Zheng, Xufang Luo, Pengfei Wei et al.
Adaptive Temporal Planning for Multi-Robot Systems in Operations and Maintenance of Offshore Wind Farms
Ferdian Jovan, Sara Bernardini
Adaptive Texture Filtering for Single-Domain Generalized Segmentation
Xinhui Li, Mingjia Li, Yaxing Wang et al.
A Dataset and Baseline Approach for Identifying Usage States from Non-intrusive Power Sensing with MiDAS IoT-Based Sensors
Bharath Muppasani, Cheyyur Jaya Anand, Chinmayi Appajigowda et al.
A Dataset for Learning University STEM Courses at Scale and Generating Questions at a Human Level
Iddo Drori, Sarah Zhang, Zad Chin et al.
AdaTask: A Task-Aware Adaptive Learning Rate Approach to Multi-Task Learning
Enneng Yang, Junwei Pan, Ximei Wang et al.
A Data Source for Reasoning Embodied Agents
Jack Lanchantin, Sainbayar Sukhbaatar, Gabriel Synnaeve et al.
ADEPT: A DEbiasing PrompT Framework
Ke Yang, Charles Yu, Yi R. Fung et al.
A Disentangled-Attention Based Framework with Persona-Aware Prompt Learning for Dialogue Generation
Pingsheng Liu, Zhengjie Huang, Xiechi Zhang et al.
Adjective Scale Probe: Can Language Models Encode Formal Semantics Information?
Wei Liu, Ming Xiang, Nai Ding
ADMoE: Anomaly Detection with Mixture-of-Experts from Noisy Labels
Yue Zhao, Guoqing Zheng, Subhabrata Mukherjee et al.
A Domain-Knowledge-Inspired Music Embedding Space and a Novel Attention Mechanism for Symbolic Music Modeling
Zixun Guo, Jaeyong Kang, Dorien Herremans
A Domain-Transfer Meta Task Design Paradigm for Few-Shot Slot Tagging
Fengyi Yang, Xi Zhou, Yating Yang et al.
Adversarial Alignment for Source Free Object Detection
Qiaosong Chu, Shuyan Li, Guangyi Chen et al.
Adversarial Self-Attention for Language Understanding
Hongqiu Wu, Ruixue Ding, Hai Zhao et al.
Adversarial Weight Perturbation Improves Generalization in Graph Neural Networks
Yihan Wu, Aleksandar Bojchevski, Heng Huang