AUTURNAL / RESEARCH SOURCES
Reference sources
Primary references used in the research collection. Titles and bibliographic details retain their original language.
References 193–216 of 766
Denoising Diffusion Probabilistic Models
Jonathan Ho; Ajay Jain; Pieter AbbeelOpen original source ↗
2020Dense Passage Retrieval for Open-Domain Question Answering
Vladimir Karpukhin; Barlas Oğuz; Sewon Min; Patrick Lewis; Ledell Wu; Sergey Edunov; Danqi Chen; Wen-tau YihOpen original source ↗
2020Dense Passage Retrieval for Open-Domain Question Answering
Karpukhin et al.
2020-11Source location: EMNLP 2020 abstract and paper
Source scope: Dual encoders represent queries and passages for dense retrieval; retrieval quality and answer correctness must be measured separately.
Inspected on: 2026-10-15
Open original source ↗Referenced in (1)
Descent-to-Delete: Gradient-Based Methods for Machine Unlearning
Seth Neel; Aaron Roth; Saeed Sharifi-MalvajerdiOpen original source ↗
2021Referenced in (1)
Design Guidelines for High Performance RDMA Systems
Anuj Kalia; Michael Kaminsky; David G. AndersenOpen original source ↗
2016Design principles for enabling an anode-free sodium all-solid-state battery
Grayson Deysher; Jin An Sam Oh; Yu-Ting Chen; Baharak Sayahpour; So-Yeon Ham; Diyi Cheng; Phillip Ridley; Ashley Cronk; Sharon Wan-Hsuan Lin; Kun Qian; Long Hoang Bao Nguyen; Jihyun Jang; Ying Shirley MengOpen original source ↗
2024Design, construction, and in vivo augmentation of a complex gut microbiome
Alice G. Cheng; Po-Yi Ho; Andrés Aranda-Díaz; Sunit Jain; Feiqiao B. Yu; Xiandong Meng; et al.
2022-09Source location: Abstract; hCom1 and hCom2 results
Source scope: 定义群落及无菌小鼠验证，不等同人体疗效。
Open original source ↗Referenced in (1)
Detecting and Correcting for Label Shift with Black Box Predictors
Zachary C. Lipton; Yu-Xiang Wang; Alexander J. SmolaOpen original source ↗
2018Referenced in (1)
Detection and localization of surgically resectable cancers with a multi-analyte blood test
Joshua D. Cohen; Lu Li; Yuxuan Wang; Christopher Thoburn; Bahman Afsari; Ludmila Danilova; Christopher Douville; Ammar A. Javed; Fay Wong; Austin Mattox; Ralph H. Hruban; Christopher L. Wolfgang; Michael G. Goggins; Marco Dal Molin; Tian-Li Wang; Richard Roden; Alison P. Klein; Janine Ptak; Lisa Dobbyn; Joy Schaefer; Natalie Silliman; Maria Popoli; Joshua T. Vogelstein; James D. Browne; Robert E. Schoen; Randall E. Brand; Jeanne Tie; Peter Gibbs; Hui-Li Wong; Aaron S. Mansfield; Jin Jen; Samir M. Hanash; Massimo Falconi; Peter J. Allen; Shibin Zhou; Chetan Bettegowda; Luis A. Diaz; Cristian Tomasetti; Kenneth W. Kinzler; Bert Vogelstein; Anne Marie Lennon; Nickolas PapadopoulosOpen original source ↗
2018Differential dataflow
Frank McSherry; Derek G. Murray; Rebecca Isaacs; Michael IsardOpen original source ↗
2013Differential Dataflow: The Map Operator
Differential Dataflow projectOpen original source ↗
2026Differential Privacy Has Disparate Impact on Model Accuracy
Eugene Bagdasaryan; Omid Poursaeed; Vitaly ShmatikovOpen original source ↗
2019Referenced in (1)
Differentially Private Learning with Adaptive Clipping
Galen Andrew; Om Thakkar; H. Brendan McMahan; Swaroop RamaswamyOpen original source ↗
2019Referenced in (1)
Diffusion Models Beat GANs on Image Synthesis
Prafulla Dhariwal; Alex NicholOpen original source ↗
2021Diffusion Policy: Visuomotor Policy Learning via Action Diffusion
, , , , , , ,
2023-03-07Source location: Abstract; 原文方法、理论和实验章节见作者原始论文链接
Source scope: 一手论文；原文研究归属原作者。本文的推导示例与建议实验方案另行标注，不冒充原论文或本站实测。
Inspected on: 2026-10-21
Open original source ↗Referenced in (1)
Diffusion-LM Improves Controllable Text Generation
Xiang Lisa Li; John Thickstun; Ishaan Gulrajani; Percy Liang; Tatsunori B. HashimotoOpen original source ↗
2022DIGIT: A Novel Design for a Low-Cost Compact High-Resolution Tactile Sensor With Application to In-Hand Manipulation
Mike Lambeta; Po-Wei Chou; Stephen Tian; Brian Yang; Benjamin Maloon; Victoria Rose Most; Dave Stroud; Raymond Santos; Ahmad Byagowi; Gregg Kammerer; Dinesh Jayaraman; Roberto CalandraOpen original source ↗
2020Direct Preference Optimization: Your Language Model is Secretly a Reward Model
Rafael Rafailov; Archit Sharma; Eric Mitchell; Stefano Ermon; Christopher D. Manning; Chelsea FinnOpen original source ↗
2023Referenced in (1)
Direct Preference Optimization: Your Language Model is Secretly a Reward Model
Rafailov et al.
2023-05-29Source location: v3; sections 3-5
Source scope: A policy/reward reparameterization turns the stated KL-constrained preference objective into a direct classification-style loss under its assumptions.
Inspected on: 2026-10-15
Open original source ↗Referenced in (1)
Direction-Optimizing Breadth-First Search
Scott Beamer; Krste Asanović; David PattersonOpen original source ↗
2012Discovering governing equations from data by sparse identification of nonlinear dynamical systems
Steven L. Brunton; Joshua L. Proctor; J. Nathan KutzOpen original source ↗
2016Discovery of a structural class of antibiotics with explainable deep learning
Wong et al.
2023-12-20Source location: 39,312 measured compounds; 12,076,365 predicted; 283 tested; preclinical activity and structural rationales.
Inspected on: 2026-10-22
Open original source ↗Referenced in (1)
Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution
Aaron Lou; Chenlin Meng; Stefano ErmonOpen original source ↗
2024Disease variant prediction with deep generative models of evolutionary data
Jonathan Frazer; Pascal Notin; Mafalda Dias; Aidan Gomez; Joseph K. Min; Kelly Brock; Yarin Gal; Debora S. MarksOpen original source ↗
2021