Papers
Improved Differentially Private Algorithms for Rank Aggregation
Quentin Hillebrand, Pasin Manurangsi, Vorapong Suppakitpaisarn et al.
Improved Fully Dynamic Submodular Maximization Under Matroid Constraints
Yiwei Gao, Jialin Zhang, Zhijie Zhang
Improved Masked Image Generation with Knowledge-Augmented Token Representations
Guotao Liang, Baoquan Zhang, Zhiyuan Wen et al.
Improved Runtime Guarantees for the SPEA2 Multi-Objective Optimizer
Benjamin Doerr, Martin S. Krejca, Milan Stanković
Improved Streaming Algorithm for Fair k-Center Clustering
Longkun Guo, Zeyu Lin, Chaoqi Jia et al.
Improving Batch Normalization with Test-Time Adaptation for Robust Object Detection in Self-Driving
Dacheng Liao, Mengshi Qi, Liang Liu et al.
Improving CAPTCHA Robustness via Controlled Image Corruptions (Student Abstract)
Suchetan G. Uppur, Ashish Kumar, Akshay Agarwal
Improving Day-Ahead Grid Carbon Intensity Forecasting by Joint Modeling of Local-Temporal and Cross-Variable Dependencies Across Different Frequencies
Bowen Zhang, Hongda Tian, Adam Berry et al.
Improving Deepfake Detection with Reinforcement Learning-Based Adaptive Data Augmentation
Yuxuan Chou, Tao Yu, Wen Huang et al.
Improving Exact Algorithm for Pseudo Boolean Optimization with Two New Phase Selection Heuristics
Yujiao Zhao, Yizhan Xiang, Jiangnan Li et al.
Improving Generalization in LLM Structured Pruning via Function-Aware Neuron Grouping
Tao Yu, Yongqi An, Kuan Zhu et al.
Improving Generalization in Offline Meta-Reinforcement Learning via Cross-task Contexts
Hongcai He, Zetao Zheng, Anjie Zhu et al.
Improving Implicit Discourse Relation Recognition with Natural Language Explanations from LLMs
Heng Wang, Changxing Wu
Improving Large Molecular Language Model via Relation-aware Multimodal Collaboration
Jinyoung Park, Minseong Bae, Jeehye Na et al.
Improving Long-Context Summarization with Multi-Granularity Retrieval Optimization
Xueyu Chen, Kaitao Song, Zifan Song et al.
Improving Low-Resource Translation with Dictionary-Guided Fine-Tuning and RL: A Spanish-to-Wayuunaiki Study
Manuel Mosquera, Melissa Verónica Robles, Johan R. Portela et al.
Improving Region Representation Learning from Urban Imagery with Noisy Long-Caption Supervision
Yimei Zhang, Guojiang Shen, Kaili Ning et al.
Improving Sparse IMU-based Motion Capture with Motion Label Smoothing
Zhaorui Meng, Lu Yin, Yangqing Hou et al.
Improving Stochastic Action-Constrained Reinforcement Learning via Truncated Distributions
Roland Stolz, Michael Eichelbeck, Matthias Althoff
Improving Sustainability of Adversarial Examples in Class-Incremental Learning
Taifeng Liu, Xinjing Liu, Liangqiu Dong et al.
Improving Target Presence and Plurality Recognition for Generalized Referring Image Segmentation
Namyup Kim, Jinsung Lee, Suha Kwak
Improving the Accuracy of Dense Retrieval on the Quantized Indexes via Gradient Optimization of the Target Embeddings
Cong Tan, Yongqi Shao, Hong Huo et al.
Improving the Convergence Rate of Ray Search Optimization for Query-Efficient Hard-Label Attacks
Xinjie Xu, Shuyu Cheng, Dongwei Xu et al.
Improving Value-based Process Verifier via Low-Cost Variance Reduction
Zetian Sun, Dongfang Li, Baotian Hu et al.