Papers
450 papers found
Toward Re-Identifying Any Animal
Bingliang Jiao, Lingqiao Liu, Liying Gao et al.
Online Learning of Delayed Choices
Recep Yusuf Bekci
Deep Graph Mating
Yongcheng Jing, Seok-Hee Hong, Dacheng Tao
Depth Anything V2
Lihe Yang, Bingyi Kang, Zilong Huang et al.
Identifying Equivalent Training Dynamics
William T. Redman, Juan Bello-Rivas, Maria Fonoberova et al.
Grammar-Aligned Decoding
Kanghee Park, Jiayu Wang, Taylor Berg-Kirkpatrick et al.
Improving Decision Sparsity
Yiyang Sun, Tong Wang, Cynthia Rudin
Rejection via Learning Density Ratios
Alexander Soen, Hisham Husain, Philip Schulz et al.
Can Simple Averaging Defeat Modern Watermarks?
Pei Yang, Hai Ci, Yiren Song et al.
Constrained Binary Decision Making
Daniel Průša, Vojtěch Franc
BOLD: Boolean Logic Deep Learning
Van Minh Nguyen, Cristian Ocampo, Aymen Askri et al.
Bias Detection via Signaling
Yiling Chen, Tao Lin, Ariel D. Procaccia et al.
Identifying Causal Effects Under Functional Dependencies
Yizuo Chen, Adnan Darwiche
Discrete Flow Matching
Itai Gat, Tal Remez, Neta Shaul et al.
UniGAD: Unifying Multi-level Graph Anomaly Detection
Yiqing Lin, Jianheng Tang, Chenyi Zi et al.
Rapid Plug-in Defenders
Kai Wu, Yujian Betterest Li, Jian Lou et al.
A Unifying Normative Framework of Decision Confidence
Amelia M. Johnson, Micheal A. Buice, Koosha Khalvati
DEFT: Dexterous Fine-Tuning for Hand Policies
Aditya Kannan, Kenneth Shaw, Shikhar Bahl et al.
Dexterous Functional Grasping
Ananye Agarwal, Shagun Uppal, Kenneth Shaw et al.
Cognitive Deficit of Deep Learning in Numerosity
Xiaolin Wu, Xi Zhang, Xiao Shu
Concurrency Debugging with MaxSMT
Miguel Terra-Neves, Nuno Machado, Ines Lynce et al.
SVM-Based Deep Stacking Networks
Jingyuan Wang, Kai Feng, Junjie Wu
Data Fine-Tuning
Saheb Chhabra, Puspita Majumdar, Mayank Vatsa et al.
On Identifying Hashtags in Disaster Twitter Data
Jishnu Ray Chowdhury, Cornelia Caragea, Doina Caragea
Defending with Shared Resources on a Network
Minming Li, Long Tran-Thanh, Xiaowei Wu