Papers
Zero-Shot Noise2Mean: Gap Minimization for Efficient Denoising from a Single Noisy Image
Duo Liu, Yiqi Shi, Guoyin Zhang et al.
Zero-Shot Scene Change Detection
Kyusik Cho, Dong Yeop Kim, Euntai Kim
Zero-shot Video Moment Retrieval via Off-the-shelf Multimodal Large Language Models
Yifang Xu, Yunzhuo Sun, Benxiang Zhai et al.
Zero-shot Video Restoration and Enhancement Using Pre-Trained Image Diffusion Model
Cong Cao, Huanjing Yue, Xin Liu et al.
Zeroth-Order Methods for Nonconvex Stochastic Problems with Decision-Dependent Distributions
Yuya Hikima, Akiko Takeda
ZoRI: Towards Discriminative Zero-Shot Remote Sensing Instance Segmentation
Shiqi Huang, Shuting He, Bihan Wen
1/2-Approximate MMS Allocation for Separable Piecewise Linear Concave Valuations
Chandra Chekuri, Pooja Kulkarni, Rucha Kulkarni et al.
3D-STMN: Dependency-Driven Superpoint-Text Matching Network for End-to-End 3D Referring Expression Segmentation
Changli Wu, Yiwei Ma, Qi Chen et al.
3D Visibility-Aware Generalizable Neural Radiance Fields for Interacting Hands
Xuan Huang, Hanhui Li, Zejun Yang et al.
AACP: Aesthetics Assessment of Children’s Paintings Based on Self-Supervised Learning
Shiqi Jiang, Ning Li, Chen Shi et al.
A Bayesian Spatial Model to Correct Under-Reporting in Urban Crowdsourcing
Gabriel Agostini, Emma Pierson, Nikhil Garg
A Brain-Inspired Way of Reducing the Network Complexity via Concept-Regularized Coding for Emotion Recognition
Han Lu, Xiahai Zhuang, Qiang Luo
A Bregman Proximal Stochastic Gradient Method with Extrapolation for Nonconvex Nonsmooth Problems
Qingsong Wang, Zehui Liu, Chunfeng Cui et al.
Abstract Action Scheduling for Optimal Temporal Planning via OMT
Stefan Panjkovic, Andrea Micheli
Abstract and Explore: A Novel Behavioral Metric with Cyclic Dynamics in Reinforcement Learning
Anjie Zhu, Peng-Fei Zhang, Ruihong Qiu et al.
Abstraction of Situation Calculus Concurrent Game Structures
Yves Lesperance, Giuseppe De Giacomo, Maryam Rostamigiv et al.
ACAMDA: Improving Data Efficiency in Reinforcement Learning through Guided Counterfactual Data Augmentation
Yuewen Sun, Erli Wang, Biwei Huang et al.
Accelerate Multi-Agent Reinforcement Learning in Zero-Sum Games with Subgame Curriculum Learning
Jiayu Chen, Zelai Xu, Yunfei Li et al.
Accelerating Adversarially Robust Model Selection for Deep Neural Networks via Racing
Matthias König, Holger H. Hoos, Jan N. van Rijn
Accelerating Cutting-Plane Algorithms via Reinforcement Learning Surrogates
Kyle Mana, Fernando Acero, Stephen Mak et al.
Accelerating Text-to-Image Editing via Cache-Enabled Sparse Diffusion Inference
Zihao Yu, Haoyang Li, Fangcheng Fu et al.
Accelerating the Global Aggregation of Local Explanations
Alon Mor, Yonatan Belinkov, Benny Kimelfeld
Accurate Parameter Estimation for Safety-Critical Systems with Unmodeled Dynamics (Abstract Reprint)
Arnab Sarker, Peter Fisher, Joseph Gaudio et al.
A Chain-of-Thought Prompting Approach with LLMs for Evaluating Students’ Formative Assessment Responses in Science
Clayton Cohn, Nicole Hutchins, Tuan Le et al.
A Class of Topological Pseudodistances for Fast Comparison of Persistence Diagrams
Rolando Kindelan Nuñez, Mircea Petrache, Mauricio Cerda et al.