Papers
De novo mass spectrometry peptide sequencing with a transformer model
Melih Yilmaz, William Fondrie, Wout Bittremieux et al.
Deploying Convolutional Networks on Untrusted Platforms Using 2D Holographic Reduced Representations
Mohammad Mahmudul Alam, Edward Raff, Tim Oates et al.
DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks
Yonggan Fu, Haichuan Yang, Jiayi Yuan et al.
Describing Differences between Text Distributions with Natural Language
Ruiqi Zhong, Charlie Snell, Dan Klein et al.
Design-Bench: Benchmarks for Data-Driven Offline Model-Based Optimization
Brandon Trabucco, Xinyang Geng, Aviral Kumar et al.
Detached Error Feedback for Distributed SGD with Random Sparsification
An Xu, Heng Huang
Detecting Corrupted Labels Without Training a Model to Predict
Zhaowei Zhu, Zihao Dong, Yang Liu
Dialog Inpainting: Turning Documents into Dialogs
Zhuyun Dai, Arun Tejasvi Chaganty, Vincent Y Zhao et al.
Difference Advantage Estimation for Multi-Agent Policy Gradients
Yueheng Li, Guangming Xie, Zongqing Lu
Differentiable Top-k Classification Learning
Felix Petersen, Hilde Kuehne, Christian Borgelt et al.
Differentially Private Approximate Quantiles
Haim Kaplan, Shachar Schnapp, Uri Stemmer
Differentially Private Community Detection for Stochastic Block Models
Mohamed S Mohamed, Dung Nguyen, Anil Vullikanti et al.
Differentially Private Coordinate Descent for Composite Empirical Risk Minimization
Paul Mangold, Aurélien Bellet, Joseph Salmon et al.
Differentially Private Maximal Information Coefficients
John Lazarsfeld, Aaron Johnson, Emmanuel Adeniran
Diffusion bridges vector quantized variational autoencoders
Max Cohen, Guillaume Quispe, Sylvain Le Corff et al.
Diffusion Models for Adversarial Purification
Weili Nie, Brandon Guo, Yujia Huang et al.
Dimension-free Complexity Bounds for High-order Nonconvex Finite-sum Optimization
Dongruo Zhou, Quanquan Gu
Direct Behavior Specification via Constrained Reinforcement Learning
Julien Roy, Roger Girgis, Joshua Romoff et al.
Directed Acyclic Transformer for Non-Autoregressive Machine Translation
Fei Huang, Hao Zhou, Yang Liu et al.
Discovering Generalizable Spatial Goal Representations via Graph-based Active Reward Learning
Aviv Netanyahu, Tianmin Shu, Joshua Tenenbaum et al.
Discrete Probabilistic Inverse Optimal Transport
Wei-Ting Chiu, Pei Wang, Patrick Shafto
Discrete Tree Flows via Tree-Structured Permutations
Mai Elkady, Jim Lim, David I. Inouye
Discriminator-Weighted Offline Imitation Learning from Suboptimal Demonstrations
Haoran Xu, Xianyuan Zhan, Honglei Yin et al.
Disentangled Federated Learning for Tackling Attributes Skew via Invariant Aggregation and Diversity Transferring
Zhengquan Luo, Yunlong Wang, Zilei Wang et al.