Papers
450 papers found
Detecting Semantic Anomalies
Faruk Ahmed, Aaron Courville
Synthesizing Action Sequences for Modifying Model Decisions
Goutham Ramakrishnan, Yun Chan Lee, Aws Albarghouthi
Deep Message Passing on Sets
Yifeng Shi, Junier Oliva, Marc Niethammer
Global Greedy Dependency Parsing
Zuchao Li, Hai Zhao, Kevin Parnow
Reshaping Diverse Planning
Michael Katz, Shirin Sohrabi
Optical Flow in Deep Visual Tracking
Mikko Vihlman, Arto Visala
Detecting Suspicious Timber Trades
Debanjan Datta, M. Raihanul Islam, Nathan Self et al.
Dense Events Grounding in Video
Peijun Bao, Qian Zheng, Yadong Mu
High-Resolution Deep Image Matting
Haichao Yu, Ning Xu, Zilong Huang et al.
Certifying Top-Down Decision-DNNF Compilers
Florent Capelli, Jean-Marie Lagniez, Pierre Marquis
Deep Fusion Clustering Network
Wenxuan Tu, Sihang Zhou, Xinwang Liu et al.
Brain Decoding Using fNIRS
Lu Cao, Dandan Huang, Yue Zhang et al.
Designing a Hybrid AI Residency
Felipe Leno Da Silva, Silvio Stanzani, Jefferson Fialho et al.
Deformable Part Region Learning for Object Detection
Seung-Hwan Bae
Uncertainty-Driven Dehazing Network
Ming Hong, Jianzhuang Liu, Cuihua Li et al.
Deconfounded Visual Grounding
Jianqiang Huang, Yu Qin, Jiaxin Qi et al.
Defending against Model Stealing via Verifying Embedded External Features
Yiming Li, Linghui Zhu, Xiaojun Jia et al.
DeformRS: Certifying Input Deformations with Randomized Smoothing
Motasem Alfarra, Adel Bibi, Naeemullah Khan et al.
Learning Fractals by Gradient Descent
Cheng-Hao Tu, Hong-You Chen, David Carlyn et al.
ADEPT: A DEbiasing PrompT Framework
Ke Yang, Charles Yu, Yi R. Fung et al.
Revisiting the Importance of Amplifying Bias for Debiasing
Jungsoo Lee, Jeonghoon Park, Daeyoung Kim et al.
DeepGemini: Verifying Dependency Fairness for Deep Neural Network
Xuan Xie, Fuyuan Zhang, Xinwen Hu et al.
Delivering Inflated Explanations
Yacine Izza, Alexey Ignatiev, Peter J. Stuckey et al.
Towards Trustworthy Deep Learning
Tsui-Wei (Lily) Weng