Papers
Data Driven Threshold and Potential Initialization for Spiking Neural Networks
Velibor Bojkovic, Srinivas Anumasa, Giulia De Masi et al.
Data-Efficient Contrastive Language-Image Pretraining: Prioritizing Data Quality over Quantity
Siddharth Joshi, Arnav Jain, Ali Payani et al.
Deep anytime-valid hypothesis testing
Teodora Pandeva, Patrick Forré, Aaditya Ramdas et al.
Deep Classifier Mimicry without Data Access
Steven Braun, Martin Mundt, Kristian Kersting
Deep Dependency Networks and Advanced Inference Schemes for Multi-Label Classification
Shivvrat Arya, Yu Xiang, Vibhav Gogate
DeepFDR: A Deep Learning-based False Discovery Rate Control Method for Neuroimaging Data
Taehyo Kim, Hai Shu, Qiran Jia et al.
Deep Learning-Based Alternative Route Computation
Alex Zhai, Dee Guo, Sreenivas Gollapudi et al.
DE-HNN: An effective neural model for Circuit Netlist representation
Zhishang Luo, Truong Son Hy, Puoya Tabaghi et al.
Delegating Data Collection in Decentralized Machine Learning
Nivasini Ananthakrishnan, Stephen Bates, Michael Jordan et al.
Density Uncertainty Layers for Reliable Uncertainty Estimation
Yookoon Park, David Blei
DHMConv: Directed Hypergraph Momentum Convolution Framework
Wenbo Zhao, Zitong Ma, Zhe Yang
Diagonalisation SGD: Fast & Convergent SGD for Non-Differentiable Models via Reparameterisation and Smoothing
Dominik Wagner, Basim Khajwal, Luke Ong
Differentiable Rendering with Reparameterized Volume Sampling
Nikita Morozov, Denis Rakitin, Oleg Desheulin et al.
Differentially Private Conditional Independence Testing
Iden Kalemaj, Shiva Kasiviswanathan, Aaditya Ramdas
Differentially Private Reward Estimation with Preference Feedback
Sayak Ray Chowdhury, Xingyu Zhou, Nagarajan Natarajan
DiffRed: Dimensionality reduction guided by stable rank
Prarabdh Shukla, Gagan Raj Gupta, Kunal Dutta
Directed Hypergraph Representation Learning for Link Prediction
Zitong Ma, Wenbo Zhao, Zhe Yang
Directional Optimism for Safe Linear Bandits
Spencer Hutchinson, Berkay Turan, Mahnoosh Alizadeh
Discriminant Distance-Aware Representation on Deterministic Uncertainty Quantification Methods
Jiaxin Zhang, Kamalika Das, Sricharan Kumar
Discriminator Guidance for Autoregressive Diffusion Models
Filip Ekström Kelvinius, Fredrik Lindsten
Dissimilarity Bandits
Paolo Battellani, Alberto Maria Metelli, Francesco Trovò
Distributionally Robust Model-based Reinforcement Learning with Large State Spaces
Shyam Sundhar Ramesh, Pier Giuseppe Sessa, Yifan Hu et al.