IDK Cascades: Fast Deep Learning by Learning not to Overthink

IDK Cascades: Fast Deep Learning by Learning not to Overthink

3 June 2017

Joseph E. Gonzalez

Papers citing "IDK Cascades: Fast Deep Learning by Learning not to Overthink"

11 / 11 papers shown

Title
Bi-directional Model Cascading with Proxy Confidence David Warren Mark Dras 44 0 0 27 Apr 2025
DocETL: Agentic Query Rewriting and Evaluation for Complex Document Processing Shreya Shankar Tristan Chambers Eugene Wu Aditya G. Parameswaran Eugene Wu LLMAG 53 6 0 16 Oct 2024
Language Model Cascades: Token-level uncertainty and beyond Neha Gupta Harikrishna Narasimhan Wittawat Jitkrittum A. S. Rawat A. Menon Sanjiv Kumar UQLM 45 42 0 15 Apr 2024
Reinforcement Learning as a Parsimonious Alternative to Prediction Cascades: A Case Study on Image Segmentation Bharat Srikishan Anika Tabassum S. Allu Ramakrishnan Kannan Nikhil Muralidhar 45 1 0 19 Feb 2024
CLCNet: Rethinking of Ensemble Modeling with Classification Confidence Network Yaodong Yu S. Horng 10 0 0 19 May 2022
Learning to Cascade: Confidence Calibration for Improving the Accuracy and Computational Cost of Cascade Inference Systems Shohei Enomoto Takeharu Eda UQCV 41 17 0 15 Apr 2021
Improving Anytime Prediction with Parallel Cascaded Networks and a Temporal-Difference Loss Michael L. Iuzzolino Michael C. Mozer Samy Bengio OOD 13 10 0 19 Feb 2021
Fast Real-time Counterfactual Explanations Yunxia Zhao 11 15 0 11 Jul 2020
SCOUT: Self-aware Discriminant Counterfactual Explanations Pei Wang Nuno Vasconcelos FAtt 14 81 0 16 Apr 2020
Model Slicing for Supporting Complex Analytics with Elastic Inference Cost and Resource Constraints Shaofeng Cai Gang Chen Beng Chin Ooi Jinyang Gao 25 19 0 03 Apr 2019
SkipNet: Learning Dynamic Routing in Convolutional Networks Xin Wang F. I. F. Richard Yu Zi-Yi Dou Trevor Darrell Joseph E. Gonzalez 25 625 0 26 Nov 2017