Papers
Deductive Verification of Chain-of-Thought Reasoning
Zhan Ling, Yunhao Fang, Xuanlin Li et al.
DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization
Haoran Ye, Jiarui Wang, Zhiguang Cao et al.
Deep Contract Design via Discontinuous Networks
Tonghan Wang, Paul Duetting, Dmitry Ivanov et al.
Deep Equilibrium Based Neural Operators for Steady-State PDEs
Tanya Marwah, Ashwini Pokle, J. Zico Kolter et al.
DeepfakeBench: A Comprehensive Benchmark of Deepfake Detection
Zhiyuan Yan, Yong Zhang, Xinhang Yuan et al.
Deep Fractional Fourier Transform
Hu Yu, Jie Huang, Lingzhi LI et al.
Deep Gaussian Markov Random Fields for Graph-Structured Dynamical Systems
Fiona Lippert, Bart Kranstauber, Emiel van Loon et al.
Deep Insights into Noisy Pseudo Labeling on Graph Data
Botao WANG, Jia Li, Yang Liu et al.
Deep learning with kernels through RKHM and the Perron-Frobenius operator
Yuka Hashimoto, Masahiro Ikeda, Hachem Kadri
Deep Momentum Multi-Marginal Schrödinger Bridge
Tianrong Chen, Guan-Horng Liu, Molei Tao et al.
Deep Neural Collapse Is Provably Optimal for the Deep Unconstrained Features Model
Peter Súkeník, Marco Mondelli, Christoph H. Lampert
Deep Non-line-of-sight Imaging from Under-scanning Measurements
Yue Li, Yueyi Zhang, Juntian Ye et al.
Deep Optimal Transport: A Practical Algorithm for Photo-realistic Image Restoration
Theo Adrai, Guy Ohayon, Michael Elad et al.
Deep Patch Visual Odometry
Zachary Teed, Lahav Lipson, Jia Deng
DeepPCR: Parallelizing Sequential Operations in Neural Networks
Federico Danieli, Miguel Sarabia, Xavier Suau Cuadros et al.
Deep Recurrent Optimal Stopping
Niranjan Damera Venkata, Chiranjib Bhattacharyya
Deep Reinforcement Learning with Plasticity Injection
Evgenii Nikishin, Junhyuk Oh, Georg Ostrovski et al.
DeepSimHO: Stable Pose Estimation for Hand-Object Interaction via Physics Simulation
Rong Wang, Wei Mao, Hongdong Li
Deep Stochastic Processes via Functional Markov Transition Operators
Jin Xu, Emilien Dupont, Kaspar Märtens et al.
Defending against Data-Free Model Extraction by Distributionally Robust Defensive Training
Zhenyi Wang, Li Shen, Tongliang Liu et al.
Defending Pre-trained Language Models as Few-shot Learners against Backdoor Attacks
Zhaohan Xi, Tianyu Du, Changjiang Li et al.
Degraded Polygons Raise Fundamental Questions of Neural Network Perception
Leonard Tang, Dan Ley
Delayed Algorithms for Distributed Stochastic Weakly Convex Optimization
Wenzhi Gao, Qi Deng
Delegated Classification
Eden Saig, Inbal Talgam-Cohen, Nir Rosenfeld
DELIFFAS: Deformable Light Fields for Fast Avatar Synthesis
Youngjoong Kwon, Lingjie Liu, Henry Fuchs et al.