Timezone: »
Poster
Fast and Balanced: Efficient Label Tree Learning for Large Scale Object Recognition
Jia Deng · Sanjeev Satheesh · Alexander C Berg · Li Fei-Fei
We present a novel approach to efficiently learn a label tree for large scale classification with many classes. The key contribution of the approach is a technique to simultaneously determine the structure of the tree and learn the classifiers for each node in the tree. This approach also allows fine grained control over the efficiency vs accuracy trade-off in designing a label tree, leading to more balanced trees. Experiments are performed on large scale image classification with 10184 classes and 9 million images. We demonstrate significant improvements in test accuracy and efficiency with less training time and more balanced trees compared to the previous state of the art by Bengio et al.
Author Information
Jia Deng (Princeton University)
Sanjeev Satheesh (Stanford University)
Alexander C Berg (Stony Brook)
Li Fei-Fei (Stanford University)
More from the Same Authors
-
2021 : Neural Abstructions: Abstractions that Support Construction for Grounded Language Learning »
Kaylee Burns · Christopher D Manning · Li Fei-Fei -
2021 : What Matters in Learning from Offline Human Demonstrations for Robot Manipulation »
Ajay Mandlekar · Danfei Xu · Josiah Wong · Chen Wang · Li Fei-Fei · Silvio Savarese · Yuke Zhu · Roberto Martín-Martín -
2021 Oral: DROID-SLAM: Deep Visual SLAM for Monocular, Stereo, and RGB-D Cameras »
Zachary Teed · Jia Deng -
2021 Poster: DROID-SLAM: Deep Visual SLAM for Monocular, Stereo, and RGB-D Cameras »
Zachary Teed · Jia Deng -
2020 : Closing remarks from Fei-Fei Li, Sequoia Professor of Computer Science, Stanford University & Co-Director of Stanford’s Human-Centered AI Institute »
Li Fei-Fei -
2020 : Q/A for invited talk #5 »
Li Fei-Fei -
2020 : Creating diverse tasks to catalyze robot learning »
Li Fei-Fei -
2020 Poster: Learning to Prove Theorems by Learning to Generate Theorems »
Mingzhe Wang · Jia Deng -
2020 Poster: Rel3D: A Minimally Contrastive Benchmark for Grounding Spatial Relations in 3D »
Ankit Goyal · Kaiyu Yang · Dawei Yang · Jia Deng -
2020 Spotlight: Rel3D: A Minimally Contrastive Benchmark for Grounding Spatial Relations in 3D »
Ankit Goyal · Kaiyu Yang · Dawei Yang · Jia Deng -
2020 Poster: Strongly Incremental Constituency Parsing with Graph Neural Networks »
Kaiyu Yang · Jia Deng -
2019 Poster: Regression Planning Networks »
Danfei Xu · Roberto Martín-Martín · De-An Huang · Yuke Zhu · Silvio Savarese · Li Fei-Fei -
2019 Poster: HYPE: A Benchmark for Human eYe Perceptual Evaluation of Generative Models »
Sharon Zhou · Mitchell Gordon · Ranjay Krishna · Austin Narcomey · Li Fei-Fei · Michael Bernstein -
2019 Oral: HYPE: A Benchmark for Human eYe Perceptual Evaluation of Generative Models »
Sharon Zhou · Mitchell Gordon · Ranjay Krishna · Austin Narcomey · Li Fei-Fei · Michael Bernstein -
2018 Poster: Learning to Play With Intrinsically-Motivated, Self-Aware Agents »
Nick Haber · Damian Mrowca · Stephanie Wang · Li Fei-Fei · Daniel Yamins -
2018 Poster: Learning to Decompose and Disentangle Representations for Video Prediction »
Jun-Ting Hsieh · Bingbin Liu · De-An Huang · Li Fei-Fei · Juan Carlos Niebles -
2018 Poster: Flexible neural representation for physics prediction »
Damian Mrowca · Chengxu Zhuang · Elias Wang · Nick Haber · Li Fei-Fei · Josh Tenenbaum · Daniel Yamins -
2017 : Keynote II: Fei-Fei Li, Stanford »
Li Fei-Fei -
2017 Poster: Label Efficient Learning of Transferable Representations acrosss Domains and Tasks »
Zelun Luo · Yuliang Zou · Judy Hoffman · Li Fei-Fei -
2016 : Knowledge Acquisition for Visual Question Answering via Iterative Querying »
Yuke Zhu · Joseph Lim · Li Fei-Fei -
2014 Poster: Deep Fragment Embeddings for Bidirectional Image Sentence Mapping »
Andrej Karpathy · Armand Joulin · Li Fei-Fei -
2012 Workshop: Big Data Meets Computer Vision: First International Workshop on Large Scale Visual Recognition and Retrieval »
Jia Deng · Samy Bengio · Yuanqing Lin · Li Fei-Fei -
2012 Poster: Shifting Weights: Adapting Object Detectors from Image to Video »
Kevin Tang · Vignesh Ramanathan · Li Fei-Fei · Daphne Koller -
2012 Demonstration: EVA: Engine for Visual Annotation »
Jia Deng · Joanathan Krause · Zhiheng Huang · Alexander C Berg · Li Fei-Fei -
2011 Poster: Large-Scale Category Structure Aware Image Categorization »
Bin Zhao · Li Fei-Fei · Eric Xing -
2010 Session: Oral Session 10 »
Li Fei-Fei -
2010 Poster: Large Margin Learning of Upstream Scene Understanding Models »
Jun Zhu · Li-Jia Li · Li Fei-Fei · Eric Xing -
2010 Poster: Object Bank: A High-Level Image Representation for Scene Classification & Semantic Feature Sparsification »
Li-Jia Li · Hao Su · Eric Xing · Li Fei-Fei