## WARNING -- OUTDATED @inproceedings{girish2023lilnetx, title={LilNetX: Lightweight Networks with EXtreme Model Compression and Structured Sparsification}, author={Girish, Sharath and Gupta, Kamal and Singh, Saurabh and Shrivastava, Abhinav}, booktitle={International Conference on Learning Representations (ICLR)}, year={2023} } @inproceedings{liu2023covid, title={COVID-VTS: Fact Extraction and Verification on Short Video Platforms}, author={Liu, Fuxiao and Yacoob, Yaser and Shrivastava, Abhinav}, booktitle={EACL}, year={2023} } @inproceedings{pham2022improving, title={Improving Closed and Open-Vocabulary Attribute Prediction Using Transformers}, author={Pham, Khoi and Kafle, Kushal and Lin, Zhe and Ding, Zhihong and Cohen, Scott and Tran, Quan and Shrivastava, Abhinav}, booktitle={European Conference on Computer Vision (ECCV)}, pages={201--219}, year={2022}, organization={Springer} } @inproceedings{huang2022learning, title={Learning Semantic Correspondence with Sparse Annotations}, author={Huang, Shuaiyi and Yang, Luyu and He, Bo and Zhang, Songyang and He, Xuming and Shrivastava, Abhinav}, booktitle={European Conference on Computer Vision (ECCV)}, pages={267--284}, year={2022}, organization={Springer} } @inproceedings{wang2022neural, title={Neural Space-Filling Curves}, author={Wang, Hanyu and Gupta, Kamal and Davis, Larry and Shrivastava, Abhinav}, booktitle={European Conference on Computer Vision (ECCV)}, pages={418--434}, year={2022}, organization={Springer} } @inproceedings{yang2022burn, title={Burn After Reading: Online Adaptation for Cross-domain Streaming Data}, author={Yang, Luyu and Gao, Mingfei and Chen, Zeyuan and Xu, Ran and Shrivastava, Abhinav and Ramaiah, Chetan}, booktitle={European Conference on Computer Vision (ECCV)}, year={2022}, organization={Springer} } @inproceedings{he2022asloc, title={ASM-Loc: Action-aware Segment Modeling for Weakly-Supervised Temporal Action Localization}, author={He, Bo and Yang, Xitong and Lang, Le and Cheng, Zhiyu and Xin, Zhou and Shrivastava, Abhinav}, booktitle={IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year={2022} } @inproceedings{saini2022disentangling, title={Disentangling Visual Embeddings for Attributes and Objects}, author={Sainin, Nirat and Pham, Khoi and Shrivastava, Abhinav}, booktitle={IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year={2022} } @inproceedings{gwilliam2022Beyond, title={Beyond Supervised vs. Unsupervised: Representative Benchmarking and Analysis of Image Representation Learning}, author={Gwilliam, Matthew and Shrivastava, Abhinav}, booktitle={{IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year={2022} } @inproceedings{walmer2022dualkey, title={Dual-Key Multimodal Backdoors for Visual Question Answering}, author={Walmer, Matthew and Sikka, Karan and Sur, Indranil and Shrivastava, Abhinav and Jha, Susmit}, booktitle={{IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year={2022} } @inproceedings{wang2022objectformer, title={ObjectFormer for Image Manipulation Detection and Localization}, author={Wang, Junke and Wu, Zuxuan and Chen, Jingjing and Han, Xintong and Shrivastava, Abhinav and Jiang, Yu-Gang and Lim, Ser-Nam}, booktitle={{IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year={2022} } @inproceedings{shah2022pose, title={Pose And Joint-Aware Action Recognition}, author={Shah, Anshul and Mishra, Shlok and Bansal, Ankan and Chen, Jun-Cheng and Chellappa, Rama and Shrivastava, Abhinav}, booktitle={IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)}, year={2022} } @inproceedings{li2021rethinking, title={Rethinking Pseudo Labels for Semi-Supervised Object Detection}, author={Li, Hengduo and Wu, Zuxuan and Shrivastava, Abhinav and Davis, Larry S}, booktitle={AAAI Conference on Artificial Intelligence}, year={2022} } @inproceedings{zhou2021deep, title={Deep Video Inpainting Detection}, author={Zhou, Peng and Yu, Ning and Wu, Zuxuan and Davis, Larry S and Shrivastava, Abhinav and Lim, Ser-Nam}, booktitle={British Machine Vision Conference (BMVC)}, year={2021} } @inproceedings{he2020gta, title={GTA: Global Temporal Attention for Video Action Understanding}, author={He, Bo and Yang, Xitong and Wu, Zuxuan and Chen, Hao and Lim, Ser-Nam and Shrivastava, Abhinav}, booktitle={British Machine Vision Conference (BMVC)}, year={2021} } @inproceedings{chen2021hr, title={HR-RCNN: Hierarchical Relational Reasoning for Object Detection}, author={Chen, Hao and Shrivastava, Abhinav}, booktitle={British Machine Vision Conference (BMVC)}, year={2021} } @inproceedings{chen2021nerv, title={{NeRV}: Neural representations for videos}, author={Chen, Hao and He, Bo and Wang, Hanyu and Ren, Yixuan and Lim, Ser Nam and Shrivastava, Abhinav}, booktitle={Advances in Neural Information Processing Systems (NeurIPS)}, year={2021} } @inproceedings{gupta2021patchgame, title={PatchGame: Learning to Signal Mid-level Patches in Referential Games}, author={Gupta, Kamal and Somepalli, Gowthami and Gupta, Anubhav and Jayasundara, Vinoj and Zwicker, Matthias and Shrivastava, Abhinav}, booktitle={Advances in Neural Information Processing Systems (NeurIPS)}, year={2021} } @inproceedings{saketh2021pursuit, title={The Pursuit of Knowledge: Discovering and Localizing Novel Categories using Dual Memory}, author={Saketh Rambhatla, Sai and Chellappa, Rama and Shrivastava, Abhinav}, booktitle={International Conference on Computer Vision (ICCV)}, year={2021} } @inproceedings{meshry2021learned, title={Learned Spatial Representations for Few-shot Talking-Head Synthesis}, author={Meshry, Moustafa and Suri, Saksham and Davis, Larry S and Shrivastava, Abhinav}, booktitle={International Conference on Computer Vision (ICCV)}, year={2021} } @inproceedings{girish2021towards, title={Towards Discovery and Attribution of Open-world GAN Generated Images}, author={Girish, Sharath and Suri, Saksham and Rambhatla, Saketh and Shrivastava, Abhinav}, booktitle={International Conference on Computer Vision (ICCV)}, year={2021} } @inproceedings{gupta2020layouttransformer, title={LayoutTransformer: Layout Generation and Completion with Self-attention}, author={Gupta, Kamal and Lazarow, Justin and Achille, Alessandro and Davis, Larry and Mahadevan, Vijay and Shrivastava, Abhinav}, booktitle={International Conference on Computer Vision (ICCV)}, year={2021} } @inproceedings{yang2020mico, title={Deep Co-Training with Task Decomposition for Semi-Supervised Domain Adaptation}, author={Yang, Luyu and Wang, Yan and Gao, Mingfei and Shrivastava, Abhinav and Weinberger, Kilian Q and Chao, Wei-Lun and Lim, Ser-Nam}, booktitle={International Conference on Computer Vision (ICCV)}, year={2021} } @inproceedings{ehrlich2021analysing, author = {Ehrlich, Max and Davis, Larry and Lim, Ser-Nam and Shrivastava, Abhinav}, booktitle = {IEEE International Conference on Computer Vision (ICCV) (Workshops)}, title = {Analysing and Mitigating JPEG Compression Defects in Deep Learning}, year = {2021} } @inproceedings{meshry2021step, title={StEP: Style-based Encoder Pre-training for Multi-modal Image Synthesis}, author={Meshry, Moustafa and Ren, Yixuan and Davis, Larry S and Shrivastava, Abhinav}, booktitle={IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year={2021} } @inproceedings{pham2021learning, title={Learning To Predict Visual Attributes in the Wild}, author={Pham, Khoi and Kafle, Kushal and Lin, Zhe and Ding, Zhihong and Cohen, Scott and Tran, Quan and Shrivastava, Abhinav}, booktitle={IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year={2021} } @inproceedings{ghosh2021learning, title={Learning Graphs for Knowledge Transfer With Limited Labels}, author={Ghosh, Pallabi and Saini, Nirat and Davis, Larry S and Shrivastava, Abhinav}, booktitle={IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year={2021} } @inproceedings{bodla2021hierarchical, title={Hierarchical Video Prediction Using Relational Layouts for Human-Object Interactions}, author={Bodla, Navaneeth and Shrivastava, Gaurav and Chellappa, Rama and Shrivastava, Abhinav}, booktitle={IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year={2021} } @inproceedings{taha2021knowledge, title={Knowledge Evolution in Neural Networks}, author={Taha, Ahmed and Shrivastava, Abhinav and Davis, Larry S}, booktitle={IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year={2021} } @inproceedings{li20212d, title={2d or not 2d? adaptive 3d convolution selection for efficient video recognition}, author={Li, Hengduo and Wu, Zuxuan and Shrivastava, Abhinav and Davis, Larry S}, booktitle={IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year={2021} } @inproceedings{girish2021lottery, title={The lottery ticket hypothesis for object recognition}, author={Girish, Sharath and Maiya, Shishira R and Gupta, Kamal and Chen, Hao and Davis, Larry S and Shrivastava, Abhinav}, booktitle={IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year={2021} } @article{taha2021svmax, title={SVMax: A Feature Embedding Regularizer}, author={Taha, Ahmed and Hanson, Alex and Shrivastava, Abhinav and Davis, Larry}, journal={arXiv preprint arXiv:2103.02770}, year={2021} } @inproceedings{boult2021towards, title={Towards a Unifying Framework for Formal Theories of Novelty}, author={Boult, TE and Grabowicz, PA and Prijatelj, DS and Stern, Roni and Holder, Lawrence and Alspector, Joshua and Jafarzadeh, M and Ahmad, Toqueer and Dhamija, AR and Li, Chunchun and others}, booktitle={AAAI Conference on Artificial Intelligence}, volume={35}, number={17}, year={2021} } @article{lee2021leveraging, title={Leveraging Hand-Object Interactions in Assistive Egocentric Vision}, author={Lee, Kyungjun and Shrivastava, Abhinav and Kacorri, Hernisa}, journal={IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)}, year={2021}, publisher={IEEE} } @inproceedings{levy2021no, title={No-frills Dynamic Planning using Static Planners}, author={Levy, Mara and Ayyagari, Vasista and Shrivastava, Abhinav}, booktitle={IEEE International Conference on Robotics and Automation (ICRA)}, year={2021} } @inproceedings{shrivastava2020diverse, title={Diverse Video Generation using a Gaussian Process Trigger}, author={Shrivastava, Gaurav and Shrivastava, Abhinav}, booktitle={International Conference on Learning Representations (ICLR)}, year={2021} } @article{ghosh2020all, title={All About Knowledge Graphs for Actions}, author={Ghosh, Pallabi and Saini, Nirat and Davis, Larry S and Shrivastava, Abhinav}, journal={arXiv preprint arXiv:2008.12432}, year={2020} } @article{ehrlich2020quantization, title={Quantization Guided JPEG Artifact Correction}, author={Ehrlich, Max and Davis, Larry and Lim, Ser-Nam and Shrivastava, Abhinav}, journal={European Conference on Computer Vision (ECCV)}, year={2020} } @inproceedings{taha2020generic, title={A Generic Visualization Approach for Convolutional Neural Networks}, author={Taha, Ahmed and Yang, Xitong and Shrivastava, Abhinav and Davis, Larry}, booktitle={European Conference on Computer Vision (ECCV)}, year={2020} } @inproceedings{yang2020Curriculum, title={Curriculum Manager for Source Selection in Multi-Source Domain Adaptation}, author={Yang, Luyu and Balaji, Yogest, Lim, Ser-Nam and Shrivastava, Abhinav}, booktitle={European Conference on Computer Vision (ECCV)}, year={2020}, } @article{chen2020group, title={Group Ensemble: Learning an Ensemble of ConvNets in a single ConvNet}, author={Chen, Hao and Shrivastava, Abhinav}, journal={arXiv preprint arXiv:2007.00649}, year={2020} } @article{tang2020deep, title={Deep Multimodal Learning for the Diagnosis of Autism Spectrum Disorder}, author={Tang, Michelle and Kumar, Pulkit and Chen, Hao and Shrivastava, Abhinav}, journal={Journal of Imaging}, volume={6}, number={6}, pages={47}, year={2020} } @inproceedings{singh2020end, title={End-to-end Learning of Compressible Features}, author={Singh, Saurabh and Abu-El-Haija, Sami and Johnston, Nick and Ball{\'e}, Johannes and Shrivastava, Abhinav and Toderici, George}, booktitle={IEEE International Conference on Image Processing (ICIP)}, year={2020} } @inproceedings{gupta2020patchvae, title={PatchVAE: Learning Local Latent Codes for Recognition}, author={Kamal Gupta and Saurabh Singh and Abhinav Shrivastava}, booktitle={{IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}}, year={2020}, } @inproceedings{zhou2020generate, title={Generate, Segment, and Refine: Towards Generic Manipulation Segmentation.}, author={Zhou, Peng and Chen, Bor-Chun and Han, Xintong and Najibi, Mahyar and Shrivastava, Abhinav and Lim, Ser-Nam and Davis, Larry}, booktitle={AAAI Conference on Artificial Intelligence}, year={2020} } @inproceedings{bansal2020detecting, title={Detecting human-object interactions via functional generalization}, author={Bansal, Ankan and Rambhatla, Sai Saketh and Shrivastava, Abhinav and Chellappa, Rama}, booktitle={AAAI Conference on Artificial Intelligence}, volume={34}, number={07}, pages={10460--10469}, year={2020} } @inproceedings{ghosh2020deep, title={Depth Completion Using a View-constrained Deep Prior}, author={Ghosh, Pallabi and Vineet, Vibhav and Davis, Larry S and Shrivastava, Abhinav and Sinha, Sudipta and Joshi, Neel}, booktitle={IEEE International Conference on 3D Vision (3DV)}, year={2020} } @inproceedings{gupta2020improved, title={Improved Modeling of 3D Shapes with Multi-view Depth Maps}, author={Gupta, Kamal and Jabbireddy, Susmija and Shah, Ketul and Shrivastava, Abhinav and Zwicker, Matthias}, booktitle={IEEE International Conference on 3D Vision (3DV)}, year={2020} } @article{bansal2020spatial, title={Spatial Priming for Detecting Human-Object Interactions}, author={Bansal, Ankan and Rambhatla, Sai Saketh and Shrivastava, Abhinav and Chellappa, Rama}, journal={arXiv preprint arxiv:2004.04851}, year={2020}, } @inproceedings{taha2020boosting, title={Boosting Standard Classification Architectures Through a Ranking Regularizer}, author={Taha, Ahmed and Chen, Yi-Ting and Misu, Teruhisa and Shrivastava, Abhinav and Davis, Larry}, booktitle={IEEE Winter Conference on Applications of Computer Vision (WACV)}, year={2020} } @inproceedings{lee2020hand, title={Hand-Priming in Object Localization for Assistive Egocentric Vision}, author={Lee, Kyungjun and Shrivastava, Abhinav and Kacorri, Hernisa}, booktitle={IEEE Winter Conference on Applications of Computer Vision (WACV)}, year={2020} } @inproceedings{Oktay2020Scalable, title={Scalable Model Compression by Entropy Penalized Reparameterization}, author={Deniz Oktay and Johannes Ballé and Saurabh Singh and Abhinav Shrivastava}, booktitle={International Conference on Learning Representations (ICLR)}, year={2020} } @inproceedings{singh2019evalnorm, title={{EvalNorm}: Estimating batch normalization statistics for evaluation}, author={Singh, Saurabh and Shrivastava, Abhinav}, booktitle={IEEE/CVF International Conference on Computer Vision (ICCV)}, year={2019} } @inproceedings{hu2019render4completion, title={Render4Completion: Synthesizing multi-view depth maps for 3D shape completion}, author={Hu, Tao and Han, Zhizhong and Shrivastava, Abhinav and Zwicker, Matthias}, booktitle={IEEE/CVF International Conference on Computer Vision (Workshops)}, year={2019} } @inproceedings{dr2n_cvpr19, title={"Relational Action Forecasting"}, author={Sun, Chen and Shrivastava, Abhinav and Vondrick, Carl and Sukthankar, Rahul and Murphy, Kevin and Schmid, Cordelia}, booktitle={IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}, year={2019} } @article{taha2019unsupervised, title={Unsupervised Data Uncertainty Learning in Visual Retrieval Systems}, author={Taha, Ahmed and Chen, Yi-Ting and Misu, Teruhisa and Shrivastava, Abhinav and Davis, Larry}, journal={arXiv preprint arXiv:1902.02586}, year={2019} } @inproceedings{unsuptrack_eccv18, title={"Tracking Emerges by Colorizing Videos"}, author={Vondrick, Carl and Shrivastava, Abhinav and Fathi, Alireza and Guadarrama, Sergio and Murphy, Kevin}, booktitle={European Conference on Computer Vision (ECCV)}, year={2018} } @inproceedings{acrn_eccv18, title={"Actor-centric Relation Network"}, author={Sun, Chen and Shrivastava, Abhinav and Vondrick, Carl and Murphy, Kevin and Sukthankar, Rahul and Schmid, Cordelia}, booktitle={European Conference on Computer Vision (ECCV)}, year={2018} } @phdthesis{shrivastava2017discovering, title={Discovering and Leveraging Visual Structure for Large-Scale Recognation}, author={Shrivastava, Abhinav}, year={2017}, school={Carnegie Mellon University} } @inproceedings{300m_iccv17, title={{Revisiting Unreasonable Effectiveness of Data in Deep Learning Era}}, author={Sun, Chen and Shrivastava, Abhinav and Singh, Saurabh and Gupta, Abhinav}, Booktitle={{IEEE International Conference on Computer Vision (ICCV)}}, year={2017} } @inproceedings{adversarial_detection_cvpr17, title={{A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection}}, author={Wang, Xiaolong and Shrivastava, Abhinav and Gupta, Abhinav}, Booktitle={{IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}}, year={2017} } @inproceedings{primingfeedback_eccv16, title={Contextual {P}riming and {F}eedback for {F}aster {R-CNN}}, author={Shrivastava, Abhinav and Gupta, Abhinav}, booktitle={European Conference on Computer Vision (ECCV)}, pages={330--348}, year={2016} } @article{tdm_arxiv16, title={{Beyond Skip Connections: Top-Down Modulation for Object Detection}}, author={Shrivastava, Abhinav and Sukthankar, Rahul and Malik, Jitendra and Gupta, Abhinav}, journal={arXiv:1612.06851}, year={2016} } @inproceedings{ohem_cvpr16, title={{Training Region-based Object Detectors with Online Hard Example Mining}}, author={Shrivastava, Abhinav and Gupta, Abhinav and Girshick, Ross}, Booktitle={{IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}}, year={2016} } @inproceedings{crossstitch_cvpr16, title={{Cross-stitch Networks for Multi-task Learning}}, author={Misra*, Ishan and Shrivastava*, Abhinav and Gupta, Abhinav and Hebert, Martial}, Booktitle={{IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}}, year={2016} } @inproceedings{videossl_cvpr15, Author = {Ishan Misra and Abhinav Shrivastava and Martial Hebert}, Booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}, Title = {Watch and Learn: Semi-Supervised Learning of Object Detectors from Videos}, Year = {2015}, } @article{midlevel_arxiv15, author = {Aayush Bansal and Abhinav Shrivastava and Carl Doersch and Abhinav Gupta}, title = {Mid-level Elements for Object Detection}, journal = {CoRR}, volume = {abs/1504.07284}, year = {2015} } @article{artificial_models_frontiers15, AUTHOR={Aminoff, Elissa M. and Toneva, Mariya and Abhinav Shrivastava and Chen, Xinlei and Misra, Ishan and Gupta, Abhinav and Tarr, Michael J.}, TITLE={Applying artificial vision models to human scene understanding}, JOURNAL={Frontiers in Computational Neuroscience}, volume={9}, pages={8}, year={2015}, publisher={Frontiers} } @inproceedings{discover_seg_cvpr14, Author = {Xinlei Chen and Abhinav Shrivastava and Abhinav Gupta}, Title = {{E}nriching {V}isual {K}nowledge {B}ases via {O}bject {D}iscovery and {S}egmentation}, Booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}, Year = 2014, } @inproceedings{selection_wacv14, Author = {Ishan Misra and Abhinav Shrivastava and Martial Hebert}, Booktitle = {IEEE Winter Conference on Applications of Computer Vision (WACV)}, Title = {{Data-driven Exemplar Model Selection}}, Year = {2014}, } @inproceedings{gdpm_iccv13, author="Abhinav Shrivastava and Abhinav Gupta", title={{Building Part-based Object Detectors via 3D Geometry}}, booktitle="IEEE International Conference on Computer Vision (ICCV)", year="2013" } @techreport{misrahog, title={HOG and Spatial Convolution on SIMD Architecture}, author={Misra, Ishan and Shrivastava, Abhinav and Hebert, Martial}, institution={Carnegie Mellon University}, year={2013}, } @inproceedings{neil_iccv13, Author = {Xinlei Chen and Abhinav Shrivastava and Abhinav Gupta}, Title = {{NEIL}: {E}xtracting {V}isual {K}nowledge from {W}eb {D}ata}, Booktitle = {IEEE International Conference on Computer Vision (ICCV)}, Year = 2013, } @techreport{zhoumeasuring, title={Measuring and increasing the capacity of Natural HOG Statistics}, author={Zhou, Tinghui and Shrivastava, Abhinav and Obozinski, Guillaume and Gupta, Abhinav and Efros, Alexei A}, institution={Carnegie Mellon University}, year={2013} } @inproceedings{shrivastava_eccv12, author="Abhinav Shrivastava and Saurabh Singh and Abhinav Gupta", title="Constrained Semi-Supervised Learning using Attributes and Comparative Attributes", booktitle="European Conference on Computer Vision (ECCV)", year="2012" } @inproceedings{malisiewicz2012exemplar, title={Exemplar-SVMs for Visual Object Detection, Label Transfer and Image Retrieval}, author={Malisiewicz, Tomasz and Shrivastava, Abhinav and Gupta, Abhinav and Efros, A.A.}, booktitle={International Conference of Machine Learning (ICML)}, year={2012} } @article{shrivastava_sa11, author = {Shrivastava, Abhinav and Malisiewicz, Tomasz and Gupta, Abhinav and Efros, Alexei A.}, title = {"Data-driven Visual Similarity for Cross-domain Image Matching"}, journal = {"ACM Transaction of Graphics (TOG) (Proceedings of ACM SIGGRAPH ASIA)"}, year = {2011}, volume = {30}, number = {6}, } @patent{shrivastava2021visual, title={Visual tracking by colorization}, author={Shrivastava, Abhinav and Fathi, Alireza and Cotado, Sergio Guadarrama and Murphy, Kevin Patrick and Vondrick, Carl Martin}, year={2021}, publisher={Google Patents}, note={US Patent App. 16/966,102} } @patent{oktay2020compression, title={Compression of Machine-Learned Models via Entropy Penalized Weight Reparameterization}, author={Oktay, Deniz and Singh, Saurabh and Balle, Johannes and Shrivastava, Abhinav}, year={2020}, publisher={Google Patents}, note={US Patent App. 15/931,016} } @patent{shrivastava2020learning, title={LEARNING COMPRESSIBLE FEATURES}, author={Shrivastava, Abhinav and Singh, Saurabh and Balle, Johannes and Abu-el-haija, Sami Ahmad and Johnston, Nicholas and Toderici, George Dan}, year={2020}, note={US Patent App. 16/666,689} } @patent{mehrotra2016determining, title={Determining documents that match a query}, author={Mehrotra, Sanjeev and Li, Jin and Shrivastava, Abhinav}, year={2016}, publisher={Google Patents}, note={US Patent 9,442,929} }