Papers
PITE: Multi-Prototype Alignment for Individual Treatment Effect Estimation
Fuyuan Cao, Jiaxuan Zhang, Xiaoli Li
ProCache: Constraint-Aware Feature Caching with Selective Computation for Diffusion Transformer Acceleration
Fanpu Cao, Yaofo Chen, Zeng You et al.
Spiking Heterogeneous Graph Attention Networks
Buqing Cao, Qian Peng, Xiang Xie et al.
Stabilizing Self-Consuming Diffusion Models with Latent Space Filtering
Zhongteng Cai, Yaxuan Wang, Yang Liu et al.
HeadHunt-VAD: Hunting Robust Anomaly-Sensitive Heads in MLLM for Tuning-Free Video Anomaly Detection
Zhaolin Cai, Fan Li, Ziwei Zheng et al.
Rethinking Explanation Evaluation Under the Retraining Scheme
Yi Cai, Thibaud Ardoin, Mayank Gulati et al.
HyperGOOD: Towards Out-of-Distribution Detection in Hypergraphs
Tingyi Cai, Yunliang Jiang, Ming Li et al.
Constrained Best Arm Identification with Tests for Feasibility
Ting Cai, Kirthevasan Kandasamy
Paths Not Taken: Structure-Based Pruning in PSDD Learning and Inference
Cory Butz, Alejandro Santoscoy-Rivero, Camilla Lewis
SafeMIL: Learning Offline Safe Imitation Policy from Non-Preferred Trajectories
Returaj Burnwal, Nirav Pravinbhai Bhatt, Balaraman Ravindran
Cancer Survival Prediction by Cyclic Generation and Multi-grained Alignment
Yongqi Bu, Qinggang Niu, Zhen Li et al.
MechaFormer: Sequence Learning for Kinematic Mechanism Design Automation
Diana Bolanos, Mohammadmehdi Ataei, Pradeep Kumar Jayaraman
Asymptotic and Finite Sample Analysis of Nonexpansive Stochastic Approximations with Markovian Noise
Ethan Blaser, Shangtong Zhang
Condensed Data Expansion Using Model Inversion for Knowledge Distillation
Kuluhan Binici, Shivam Aggarwal, Cihan Acar et al.
MDBench: Benchmarking Data-Driven Methods for Model Discovery
Amirmohammad Ziaei Bideh, Aleksandra Georgievska, Jonathan Gryak
DiffOP: Reinforcement Learning of Optimization-Based Control Policies via Implicit Policy Gradients
Yuexin Bian, Jie Feng, Yuanyuan Shi
FedALT: Federated Fine-Tuning Through Adaptive Local Training with Rest-of-World LoRA
Jieming Bian, Lei Wang, Letian Zhang et al.
Deep Clustering Based on Sparse Kolmogorov-Arnold Network and Spectral Constraint
Zixuan Bi, Yang Zhao, Ganchao Liu
Shaping Without Tearing: Controllable Diffeomorphic Deformations for Topology-Preserving 3D Point Cloud Augmentation
Jian Bi, Qianliang Wu, Jianjun Qian et al.
Differentially Private Linear Programming: Reduced Sub-Optimality and Guaranteed Constraint Satisfaction
Alexander Benvenuti, Brendan Bialy, Miriam Dennis et al.
Revisiting (Un)Fairness in Recourse by Minimizing Worst-Case Social Burden
Ainhize Barrainkua, Giovanni De Toni, Jose A. Lozano et al.
Collaborative Dual Representations for Semi-Supervised Partial Label Learning
Wei-Xuan Bao, Yong Rui, Min-Ling Zhang
Multi-Level Domain Adaptation and Contrastive Domain Isolation with Bilinear Fusion for Patient Drug Response Prediction
Yuting Bai, Hanwen Lv, Wanwan Shi et al.
Medical Vision–Language Pretraining with LLM-Guided Temporal Supervision
Liang Bai, Zhi Wang, Huimin Yan et al.
Mechanistic Dissection of Cross-Attention Subspaces in Text-to-Image Diffusion Models
Jun-Hyun Bae, Wonyong Jo, Jaehyup Lee et al.