Papers
8,340 papers found
Differential Privacy has Bounded Impact on Fairness in Classification
Paul Mangold, Michaël Perrot, Aurélien Bellet et al.
Diffusion Based Representation Learning
Sarthak Mittal, Korbinian Abstreiter, Stefan Bauer et al.
Diffusion Models are Minimax Optimal Distribution Estimators
Kazusato Oko, Shunta Akiyama, Taiji Suzuki
Diffusion Models as Artists: Are we Closing the Gap between Humans and Machines?
Victor Boutin, Thomas Fel, Lakshya Singhal et al.
Diffusion Models for Black-Box Optimization
Siddarth Krishnamoorthy, Satvik Mehul Mashkaria, Aditya Grover
Dimensionality Reduction for General KDE Mode Finding
Xinyu Luo, Christopher Musco, Cas Widdershoven
Dimension-independent Certified Neural Network Watermarks via Mollifier Smoothing
Jiaxiang Ren, Yang Zhou, Jiayin Jin et al.
Dink-Net: Neural Clustering on Large Graphs
Yue Liu, Ke Liang, Jun Xia et al.
Directed Chain Generative Adversarial Networks
Ming Min, Ruimeng Hu, Tomoyuki Ichiba
Direct Parameterization of Lipschitz-Bounded Deep Networks
Ruigang Wang, Ian Manchester
Dirichlet Diffusion Score Model for Biological Sequence Generation
Pavel Avdeyev, Chenlai Shi, Yuhao Tan et al.
DiscoBAX: Discovery of optimal intervention sets in genomic experiment design
Clare Lyle, Arash Mehrjou, Pascal Notin et al.
Discover and Cure: Concept-aware Mitigation of Spurious Correlation
Shirley Wu, Mert Yuksekgonul, Linjun Zhang et al.
Discovering Object-Centric Generalized Value Functions From Pixels
Somjit Nath, Gopeshh Subbaraj, Khimya Khetarpal et al.
Discover-Then-Rank Unlabeled Support Vectors in the Dual Space for Multi-Class Active Learning
Dayou Yu, Weishi Shi, Qi Yu
Discrete Continuous Optimization Framework for Simultaneous Clustering and Training in Mixture Models
Parth Vipul Sangani, Arjun Shashank Kashettiwar, Pritish Chakraborty et al.
Discrete Key-Value Bottleneck
Frederik Träuble, Anirudh Goyal, Nasim Rahaman et al.
Disentangled Generative Models for Robust Prediction of System Dynamics
Stathi Fotiadis, Mario Lino Valencia, Shunlong Hu et al.
Disentangled Multi-Fidelity Deep Bayesian Active Learning
Dongxia Wu, Ruijia Niu, Matteo Chinazzi et al.
Disentangled Multiplex Graph Representation Learning
Yujie Mo, Yajie Lei, Jialie Shen et al.
Dissecting the Effects of SGD Noise in Distinct Regimes of Deep Learning
Antonio Sclocchi, Mario Geiger, Matthieu Wyart
Distance Weighted Supervised Learning for Offline Interaction Data
Joey Hejna, Jensen Gao, Dorsa Sadigh
Distilling Internet-Scale Vision-Language Models into Embodied Agents
Theodore Sumers, Kenneth Marino, Arun Ahuja et al.
Distortion and Uncertainty Aware Loss for Panoramic Depth Completion
Zhiqiang Yan, Xiang Li, Kun Wang et al.