Papers
Towards Robust Human–AI Decision-Making via Learning-to-Defer
Yannis Montreuil
Towards Robust Text-Attributed Federated Graph Learning: Multimodal Threats and Defense
Zitong Shi, Guancheng Wan, Wenke Huang et al.
Towards Scalable Web Accessibility Audit with MLLMs as Copilots
Ming Gu, Ziwei Wang, Sicen Lai et al.
Towards Single Exponential Time for Temporal and Spatial Reasoning: A Study via Redundancy and Dynamic Programming
Victor Lagerkvist, Johanna Groven, Leif Eriksson
Towards Spatially Consistent Image Generation: On Incorporating Intrinsic Scene Properties into Diffusion Models
Hyundo Lee, Suhyung Choi, Inwoo Hwang et al.
Towards Synthesizing High-Dimensional Tabular Data with Limited Samples
Zuqing Li, Junhao Gan, Jianzhong Qi
Towards Temporal Fusion Beyond the Field of View for Camera-based Semantic Scene Completion
Jongseong Bae, Junwoo Ha, Jinnyeong Heo et al.
Towards Test-time Efficient Visual Place Recognition via Asymmetric Query Processing
Jaeyoon Kim, Yoonki Cho, Sung-Eui Yoon
Towards Training-Free and Accurate ANN-to-SNN Conversion via Activation-Aware Redistribution
Honglin Cao, Shuai Wang, Zijian Zhou et al.
Towards Trustworthy Multimodal AI Systems
Chirag Agarwal
Towards Ultrasound-based Reliable Disease Diagnosis Using Causal Inference
Bolei Chen, Jiaxu Kang, Haonan Yang et al.
Towards Understanding Generalization in DP-GD: A Case Study in Training Two-Layer CNNs
Zhongjie Shi, Puyu Wang, Chenyang Zhang et al.
Towards Understanding In-Context Learning of Transformers Under Non-I.I.D. Scenarios
Qilu Shen, Yingjie Wang, Jinhai Xiang
Towards Unified Vision-Language Models with Incomplete Multi-Modal Inputs
Xiang Fang, Wanlong Fang, Changshuo Wang et al.
Towards Zero-Shot Diabetic Retinopathy Grading: Learning Generalized Knowledge via Prompt-Driven Matching and Emulating
Huan Wang, Haoran Li, Yuxin Lin et al.
Toward Time-Continuous Data Inference in Sparse Urban CrowdSensing
Hao Du, Wenbin Liu, Ziyu Sun et al.
Toward Trustworthy AI for Decision Making in Population Health
Alexander Rodríguez
TowerMind: A Tower Defence Game Learning Environment and Benchmark for LLM as Agents
Dawei Wang, Chengming Zhou, Di Zhao et al.
TPR: A Training Procedure Representation to Augment XR Simulations with LLMs
Michael Guevarra, Christabel Wayllace, Srijita Das et al.
TRACE: A Generalizable Drift Detector for Streaming Data-Driven Optimization
Yuan-Ting Zhong, Ting Huang, Xiaolin Xiao et al.
TRACE: Textual Relevance Augmentation and Contextual Encoding for Multimodal Hate Detection
Girish A. Koushik, Helen Treharne, Aditya Joshi et al.
TRACE: Trajectory-based Activation Change Estimation for Task-specific Data Selection
Ye He, Shangzhan Li, Yuxin Zhou et al.
TRACE: Transformation-Aware Graph Refinement for Reaction Condition Prediction
Yujie Chen, Tengfei Ma, Yuansheng Liu et al.