Papers
Towards Non-Stationary Time Series Forecasting with Temporal Stabilization and Frequency Differencing
Junkai Lu, Peng Chen, Chenjuan Guo et al.
Towards OOD Generalization in Dynamic Graphs via Causal Invariant Learning
Xinxun Zhang, Pengfei Jiao, Mengzhou Gao et al.
Towards Order Fairness: Mitigating LLMs Order Sensitivity through Dual Group Advantage Optimization
Xu Chu, Guanyu Wang, Zhijie Tan et al.
Towards Photorealistic Style Transfer with Multimodal Guidance and Robustness to Content Images in Arbitrary Styles
Ruikai Zhou, Yating Liu, Yi Xu
Towards Privacy-Preserving Large Language Model: Text-free Inference Through Alignment and Adaptation
Jeongho Yoon, Chanhee Park, Yongchan Chun et al.
Towards Privacy-Protected Generalized Gaze Estimation Using Diffusion Models and Domain Stability Adaptation Framework
Ziyi Wang, Shengcheng Ye, Faming Fang et al.
Towards Provably Secure and Highly Robust Generative Image Steganography Leveraging Latent Diffusion Model
Chengsheng Yuan, Zhaonan Ji, Qi Cui et al.
Towards Provably Unlearnable Examples via Bayes Error Optimization
Ruihan Zhang, Jun Sun, Ee-Peng Lim et al.
Towards Real-Time Neutral Atom Array Assembly via Unsupervised Hologram Generation and Path Optimization
Ge Yan, Yuchen Wang, Junchi Yan
Towards Reinforcement Learning from Neural Feedback: Mapping fNIRS Signals to Agent Performance
Julia Santaniello, Matthew Russell, Benson Jiang et al.
Towards Reliable Test-Time Adaptation: Style Invariance as a Correctness Likelihood
Gilhyun Nam, Taewon Kim, Joonhyun Jeong et al.
Towards Robust Edge Model Adaptation via Elastic Architecture Search
Xianhang Chu, Xu Yang, Kun Wei et al.
Towards Robust Evaluation of Visual Activity Recognition: Resolving Verb Ambiguity with Sense Clustering
Louie Hong Yao, Nicholas Jarvis, Tianyu Jiang
Towards Robust Event-Based Depth Estimation: Bridging Synthetic and Real Domains with Motion Adaptation
Yuzhe Ji, Haotian Wang, Yijie Chen et al.
Towards Robust Human–AI Decision-Making via Learning-to-Defer
Yannis Montreuil
Towards Robust Real-World Spreadsheet Understanding with Multi-Agent Multi-Format Reasoning
Houxing Ren, Mingjie Zhan, Zimu Lu et al.
Towards Robust Text-Attributed Federated Graph Learning: Multimodal Threats and Defense
Zitong Shi, Guancheng Wan, Wenke Huang et al.
Towards Scalable Lifelong Knowledge Editing with Selective Knowledge Suppression
Dahyun Jung, Jaewook Lee, Heuiseok Lim
Towards Scalable Web Accessibility Audit with MLLMs as Copilots
Ming Gu, Ziwei Wang, Sicen Lai et al.
Towards Simulating Social Media Users with LLMs: Evaluating the Operational Validity of Conditioned Comment Prediction
Nils Schwager, Simon Münker, Alistair Plum et al.
Towards Singable Lyrics Translation Using Large Language Models
Liu Hanze, Yusuke Sakai, Taro Watanabe
Towards Single Exponential Time for Temporal and Spatial Reasoning: A Study via Redundancy and Dynamic Programming
Victor Lagerkvist, Johanna Groven, Leif Eriksson