Timezone: »

 
Posters and Coffee
Sameer Kumar · Tomasz Kornuta · Oleg Bakhteev · Hui Guan · Xiaomeng Dong · Minsik Cho · Sören Laue · Theodoros Vasiloudis · Andreea Anghel · Erik Wijmans · Zeyuan Shang · Oleksii Kuchaiev · Ji Lin · Susan Zhang · Ligeng Zhu · Beidi Chen · Vinu Joseph · Jialin Ding · Jonathan Raiman · Ahnjae Shin · Vithursan Thangarasa · Anush Sankaran · Akhil Mathur · Martino Dazzi · Markus Löning · Darryl Ho · Emanuel Zgraggen · Supun Nakandala · Tomasz Kornuta · Rita Kuznetsova

Fri Dec 13 10:00 AM -- 11:10 AM (PST) @

Author Information

Sameer Kumar (Google)
Tomasz Kornuta (IBM Research AI)
Oleg Bakhteev (Moscow Institute of Physics and Technology)
Hui Guan (North Carolina State University)
Xiaomeng Dong (GE Healthcare)
Minsik Cho (IBM)
Sören Laue (Friedrich Schiller University Jena / Data Assessment Solutions)
Theodoros Vasiloudis (Research Institutes of Sweden)

My research deals with large scale learning for decision trees and graphs, including the development of novel algorithms and contributions to data analytics frameworks. The projects that I have been involved in included developing algorithms that make use of streaming frameworks such as Apache Flink and Apache Samoa, and contributing to the design and implementa- tion of learning systems capable of handling massive datasets, such as the machine learning library for Apache Flink. A research area that I am currently exploring is online decision trees, and more specifically quantifying the uncertainty in the predictions of random forests, with the aim of bringing the techniques to online learning. I’ve also recently become involved in the development of XGBoost, focusing on improving its distributed gradient boosted tree implementation.

Andreea Anghel (IBM Research)
Erik Wijmans (Georgia Institute of Technology)
Zeyuan Shang (MIT)
Oleksii Kuchaiev (NVIDIA)
Ji Lin (MIT)
Susan Zhang (OpenAI)
Ligeng Zhu (MIT)
Beidi Chen (Rice University)

I'm a third year Ph.D. Student at Rice University and working with Dr. Anshumali Shrivastava. My research topic is hashing in large-scale learning. I work closely with Dr. Rebecca Steorts on Record Linkage. I had my undergrad in Berkeley and my Advisor was Randy Katz. My topic was data mining.

Vinu Joseph (University of Utah)
Jialin Ding (MIT)
Jonathan Raiman (Dali)
Ahnjae Shin (Seoul National University)

Team coordinator of AutoML System. Works on two projects. 1. Hyper-parameter Optimization System. Poster on System for ML workshop 2. Multi-tenant GPU resource manager for AutoML

Vithursan Thangarasa (University of Guelph/ Vector Institute)
Anush Sankaran (IBM Research)

Senior Research Scientist with IBM Research * I have a PhD with specialization in Unsupervised Feature Learning, with key skills in Deep Learning and Computer Vision. * Served as IBM Global Research Technical Co-Lead on shaping the agenda for "Machine Learning for Creativity", as part of the Global Technical Outreach program. Received Outstanding Technical Contribution from IBM Research (2017 - 2018). Also, was the lead organizer for the workshop on “Machine Learning meets Creativity” in SIGKDD 2017, along with Google Brain, Sony CSL, and UIUC. * I have almost 4 years of industry experience in leading teams for producing high quality research output as well as leading a product pipeline. Most recently, I technically lead a team for building and developing Neural Network Modeller into Watson Studio as a technical commercial product. * I have an active publication record with research papers in NeurIPS 2019, AAAI 2018, EMNLP 2018, WWW 2018, Pattern Recognition Journal, Information Fusion Journal etc.

Akhil Mathur (Nokia Bell Labs)
Martino Dazzi (IBM Research Zurich)
Markus Löning (University College London & The Alan Turing Institute)
Darryl Ho (MIT)
Emanuel Zgraggen (MIT)
Supun Nakandala (University of California, San Diego)
Tomasz Kornuta (IBM Research AI)
Rita Kuznetsova (IBM Research)

More from the Same Authors

  • 2021 : HiRID-ICU-Benchmark --- A Comprehensive Machine Learning Benchmark on High-resolution ICU Data »
    Hugo Yèche · Rita Kuznetsova · Marc Zimmermann · Matthias Hüser · Xinrui Lyu · Martin Faltys · Gunnar Rätsch
  • 2021 Spotlight: Habitat 2.0: Training Home Assistants to Rearrange their Habitat »
    Andrew Szot · Alexander Clegg · Eric Undersander · Erik Wijmans · Yili Zhao · John Turner · Noah Maestre · Mustafa Mukadam · Devendra Singh Chaplot · Oleksandr Maksymets · Aaron Gokaslan · Vladimír Vondruš · Sameer Dharur · Franziska Meier · Wojciech Galuba · Angel Chang · Zsolt Kira · Vladlen Koltun · Jitendra Malik · Manolis Savva · Dhruv Batra
  • 2021 : Habitat-Matterport 3D Dataset (HM3D): 1000 Large-scale 3D Environments for Embodied AI »
    Santhosh Kumar Ramakrishnan · Aaron Gokaslan · Erik Wijmans · Oleksandr Maksymets · Alexander Clegg · John Turner · Eric Undersander · Wojciech Galuba · Andrew Westbury · Angel Chang · Manolis Savva · Yili Zhao · Dhruv Batra
  • 2022 : Multi-objective Reinforcement Learning with Adaptive Pareto Reset for Prefix Adder Design »
    Jialin Song · Rajarshi Roy · Jonathan Raiman · Robert Kirby · Neel Kant · Saad Godil · Bryan Catanzaro
  • 2023 Poster: PDP: Parameter-free Differentiable Pruning is All You Need »
    Minsik Cho · Saurabh Adya · Devang Naik
  • 2023 Poster: LIMA: Less Is More for Alignment »
    Chunting Zhou · Pengfei Liu · Puxin Xu · Srinivasan Iyer · Jiao Sun · Yuning Mao · Xuezhe Ma · Avia Efrat · Ping Yu · LILI YU · Susan Zhang · Gargi Ghosh · Mike Lewis · Luke Zettlemoyer · Omer Levy
  • 2022 : Invited Talk by ‪Susan Zhang »
    Susan Zhang
  • 2022 Poster: VER: Scaling On-Policy RL Leads to the Emergence of Navigation in Embodied Rearrangement »
    Erik Wijmans · Irfan Essa · Dhruv Batra
  • 2022 Poster: Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models »
    Muyang Li · Ji Lin · Chenlin Meng · Stefano Ermon · Song Han · Jun-Yan Zhu
  • 2022 Poster: On-Device Training Under 256KB Memory »
    Ji Lin · Ligeng Zhu · Wei-Ming Chen · Wei-Chen Wang · Chuang Gan · Song Han
  • 2021 : Habitat 2.0: Training Home Assistants to Rearrange their Habitat »
    Andrew Szot · Alexander Clegg · Eric Undersander · Erik Wijmans · Yili Zhao · Noah Maestre · Mustafa Mukadam · Oleksandr Maksymets · Aaron Gokaslan · Sameer Dharur · Franziska Meier · Wojciech Galuba · Angel Chang · Zsolt Kira · Vladlen Koltun · Jitendra Malik · Manolis Savva · Dhruv Batra
  • 2021 : Habitat 2.0: Training Home Assistants to Rearrange their Habitat »
    Andrew Szot · Alexander Clegg · Eric Undersander · Erik Wijmans · Yili Zhao · Noah Maestre · Mustafa Mukadam · Oleksandr Maksymets · Aaron Gokaslan · Sameer Dharur · Franziska Meier · Wojciech Galuba · Angel Chang · Zsolt Kira · Vladlen Koltun · Jitendra Malik · Manolis Savva · Dhruv Batra
  • 2021 : Closing Remarks »
    Jonathan Raiman · Mimee Xu · Martin Maas · Anna Goldie · Azade Nova · Benoit Steiner
  • 2021 : Opening Remarks »
    Jonathan Raiman · Anna Goldie · Benoit Steiner · Azade Nova · Martin Maas · Mimee Xu
  • 2021 Workshop: ML For Systems »
    Benoit Steiner · Jonathan Raiman · Martin Maas · Azade Nova · Mimee Xu · Anna Goldie
  • 2021 Poster: Scatterbrain: Unifying Sparse and Low-rank Attention »
    Beidi Chen · Tri Dao · Eric Winsor · Zhao Song · Atri Rudra · Christopher Ré
  • 2021 Poster: Locality Sensitive Teaching »
    Zhaozhuo Xu · Beidi Chen · Chaojian Li · Weiyang Liu · Le Song · Yingyan Lin · Anshumali Shrivastava
  • 2021 Poster: Habitat 2.0: Training Home Assistants to Rearrange their Habitat »
    Andrew Szot · Alexander Clegg · Eric Undersander · Erik Wijmans · Yili Zhao · John Turner · Noah Maestre · Mustafa Mukadam · Devendra Singh Chaplot · Oleksandr Maksymets · Aaron Gokaslan · Vladimír Vondruš · Sameer Dharur · Franziska Meier · Wojciech Galuba · Angel Chang · Zsolt Kira · Vladlen Koltun · Jitendra Malik · Manolis Savva · Dhruv Batra
  • 2020 : Highly Available Data Parallel ML training on Mesh Networks »
    Sameer Kumar
  • 2020 Workshop: Machine Learning for Systems »
    Anna Goldie · Azalia Mirhoseini · Jonathan Raiman · Martin Maas · Xinlei XU
  • 2020 Poster: MCUNet: Tiny Deep Learning on IoT Devices »
    Ji Lin · Wei-Ming Chen · Yujun Lin · john cohn · Chuang Gan · Song Han
  • 2020 Spotlight: MCUNet: Tiny Deep Learning on IoT Devices »
    Ji Lin · Wei-Ming Chen · Yujun Lin · john cohn · Chuang Gan · Song Han
  • 2020 Poster: SnapBoost: A Heterogeneous Boosting Machine »
    Thomas Parnell · Andreea Anghel · Małgorzata Łazuka · Nikolas Ioannou · Sebastian Kurella · Peshal Agarwal · Nikolaos Papandreou · Haralampos Pozidis
  • 2019 : Posters »
    Timo Denk · Ioannis Androutsopoulos · Oleg Bakhteev · Mohamed Kane · Petar Stojanov · Seunghyun Park · Bharat Mamidibathula · Kostiantyn Liepieshov · Johannes Höhne · Song Feng · Zikri Bayraktar · Kehinde Aruleba · ALEKSANDR OGALTSOV · Rita Kuznetsova · Paul Bennett · Saghar Hosseini · Kshtij Fadnis · Luis Lastras · Mehrdad Jabbarzadeh Gangeh · Christian Reisswig · Emad Elwany · Ilias Chalkidis · Jonathan DeGange · Kaixuan Zhang · Luke de Oliveira · Muhammed Koçyiğit · Haoyu Dong · Vera Liao · Wonseok Hwang
  • 2019 : Poster Session 1 »
    Hongzi Mao · Vikram Nathan · Ioana Baldini · Viswanath Sivakumar · Haonan Wang · Vinoj Yasanga Jayasundara Magalle Hewa · Zhan Shi · Samuel Kaufman · Joyce Fang · Giulio Zhou · Jialin Ding · Hao He · Miles Lubin
  • 2019 Workshop: ML For Systems »
    Milad Hashemi · Azalia Mirhoseini · Anna Goldie · Kevin Swersky · Xinlei XU · Jonathan Raiman · Jonathan Raiman
  • 2019 : Poster Spotlights B (13 posters) »
    Alberto Camacho · Chris Percy · Vaishak Belle · Beliz Gunel · Toryn Klassen · Tillman Weyde · Mohamed Ghalwash · Siddhant Arora · León Illanes · Jonathan Raiman · Qing Wang · Alexander Lew · So Yeon Min
  • 2019 : Coffee/Poster session 1 »
    Shiro Takagi · Khurram Javed · Johanna Sommer · Amr Sharaf · Pierluca D'Oro · Ying Wei · Sivan Doveh · Colin White · Santiago Gonzalez · Cuong Nguyen · Mao Li · Tianhe Yu · Tiago Ramalho · Masahiro Nomura · Ahsan Alvi · Jean-Francois Ton · W. Ronny Huang · Jessica Lee · Sebastian Flennerhag · Michael Zhang · Abram Friesen · Paul Blomstedt · Alina Dubatovka · Sergey Bartunov · Subin Yi · Iaroslav Shcherbatyi · Christian Simon · Zeyuan Shang · David MacLeod · Lu Liu · Liam Fowl · Diego Mesquita · Deirdre Quillen
  • 2019 : Poster Session »
    Ahana Ghosh · Javad Shafiee · Akhilan Boopathy · Alex Tamkin · Theodoros Vasiloudis · Vedant Nanda · Ali Baheri · Paul Fieguth · Andrew Bennett · Guanya Shi · Hao Liu · Arushi Jain · Jacob Tyo · Benjie Wang · Boxiao Chen · Carroll Wainwright · Chandramouli Shama Sastry · Chao Tang · Daniel S. Brown · David Inouye · David Venuto · Dhruv Ramani · Dimitrios Diochnos · Divyam Madaan · Dmitrii Krashenikov · Joel Oren · Doyup Lee · Eleanor Quint · elmira amirloo · Matteo Pirotta · Gavin Hartnett · Geoffroy Dubourg-Felonneau · Gokul Swamy · Pin-Yu Chen · Ilija Bogunovic · Jason Carter · Javier Garcia-Barcos · Jeet Mohapatra · Jesse Zhang · Jian Qian · John Martin · Oliver Richter · Federico Zaiter · Tsui-Wei Weng · Karthik Abinav Sankararaman · Kyriakos Polymenakos · Lan Hoang · mahdieh abbasi · Marco Gallieri · Mathieu Seurin · Matteo Papini · Matteo Turchetta · Matthew Sotoudeh · Mehrdad Hosseinzadeh · Nathan Fulton · Masatoshi Uehara · Niranjani Prasad · Oana-Maria Camburu · Patrik Kolaric · Philipp Renz · Prateek Jaiswal · Reazul Hasan Russel · Riashat Islam · Rishabh Agarwal · Alexander Aldrick · Sachin Vernekar · Sahin Lale · Sai Kiran Narayanaswami · Samuel Daulton · Sanjam Garg · Sebastian East · Shun Zhang · Soheil Dsidbari · Justin Goodwin · Victoria Krakovna · Wenhao Luo · Wesley Chung · Yuanyuan Shi · Yuh-Shyang Wang · Hongwei Jin · Ziping Xu
  • 2019 : Opening Remarks »
    Florian Strub · Harm de Vries · Abhishek Das · Stefan Lee · Erik Wijmans · Dor Arad Hudson · Alane Suhr
  • 2019 Workshop: Visually Grounded Interaction and Language »
    Florian Strub · Abhishek Das · Erik Wijmans · Harm de Vries · Stefan Lee · Alane Suhr · Dor Arad Hudson
  • 2019 Poster: GENO -- GENeric Optimization for Classical Machine Learning »
    Sören Laue · Matthias Mitterreiter · Joachim Giesen
  • 2019 Poster: Deep Leakage from Gradients »
    Ligeng Zhu · Zhijian Liu · Song Han
  • 2019 Poster: Fast and Accurate Stochastic Gradient Estimation »
    Beidi Chen · Yingchen Xu · Anshumali Shrivastava
  • 2019 Poster: In-Place Zero-Space Memory Protection for CNN »
    Hui Guan · Lin Ning · Zhen Lin · Xipeng Shen · Huiyang Zhou · Seung-Hwan Lim
  • 2019 Demonstration: GENO -- Optimization for Classical Machine Learning Made Fast and Easy »
    Sören Laue · Matthias Mitterreiter · Joachim Giesen
  • 2018 : Spotlights »
    Guangneng Hu · Ke Li · Aviral Kumar · Phi Vu Tran · Samuel G. Fadel · Rita Kuznetsova · Bong-Nam Kang · Behrouz Haji Soleimani · Jinwon An · Nathan de Lara · Anjishnu Kumar · Tillman Weyde · Melanie Weber · Kristen Altenburger · Saeed Amizadeh · Xiaoran Xu · Yatin Nandwani · Yang Guo · Maria Pacheco · William Fedus · Guillaume Jaume · Yuka Yoneda · Yunpu Ma · Yunsheng Bai · Berk Kapicioglu · Maximilian Nickel · Fragkiskos Malliaros · Beier Zhu · Aleksandar Bojchevski · Joshua Joseph · Gemma Roig · Esma Balkir · Xander Steenbrugge
  • 2018 Workshop: Machine Learning for Systems »
    Anna Goldie · Azalia Mirhoseini · Jonathan Raiman · Kevin Swersky · Milad Hashemi
  • 2018 : Posters (all accepted papers) + Break »
    Jianyu Wang · Denis Gudovskiy · Ziheng Jiang · Michael Kaufmann · Andreea Anghel · James Bradbury · Nikolas Ioannou · Nitin Agrawal · Emma Tosch · Gyeongin Yu · Keno Fischer · Jarrett Revels · Giuseppe Siracusano · Yaoqing Yang · Jeff Johnson · Yang You · Hector Yuen · Chris Ying · Honglei Liu · Nikoli Dryden · Xiangxi Mo · Yangzihao Wang · Amit Juneja · Micah Smith · Qian Yu · pramod gupta · Deepak Narayanan · Keshav Santhanam · Tim Capes · Abdul Dakkak · Norman Mu · Ke Deng · Liam Li · Joao Carreira · Luis Remis · Deepti Raghavan · Una-May O'Reilly · Amanpreet Singh · Mahmoud (Mido) Assran · Eugene Wu · Eytan Bakshy · Jinliang Wei · Michael Innes · Viral Shah · Haibin Lin · Conrad Sanderson · Ryan Curtin · Marcus Edel
  • 2018 : Poster spotlight session. »
    Abdullah Salama · Wei-Cheng Chang · Aidan Gomez · Raphael Tang · FUXUN YU · Zhendong Zhang · Yuxin Zhang · Ji Lin · Stephen Tiedemann · Kun Bai · Sivaramakrishnan Sankarapandian · Marton Havasi · Jack Turner · Hsin-Pai Cheng · Yue Wang · Xiaofan Xu · Ruizhou Ding · Haoji Hu · Mohammad Shafiee · Christopher Blake · Chieh-Chi Kao · Daniel Kang · Yew Ken Chia · Amir Ashouri · Sourya Basu · Simon Wiedemann · Thorsten Laude
  • 2018 : Poster Sessions and Lunch (Provided) »
    Akira Utsumi · Alane Suhr · Ji Zhang · Ramon Sanabria · Kushal Kafle · Nicholas Chen · Seung Wook Kim · Aishwarya Agrawal · SRI HARSHA DUMPALA · Shikhar Murty · Pablo Azagra · Jean ROUAT · Alaaeldin Ali · · SUBBAREDDY OOTA · Angela Lin · Shruti Palaskar · Farley Lai · Amir Aly · Tingke Shen · Dianqi Li · Jianguo Zhang · Rita Kuznetsova · Jinwon An · Jean-Benoit Delbrouck · Tomasz Kornuta · Syed Ashar Javed · Christopher Davis · John Co-Reyes · Vasu Sharma · Sungwon Lyu · Ning Xie · Ankita Kalra · Huan Ling · Oleksandr Maksymets · Bhavana Mahendra Jain · Shun-Po Chuang · Sanyam Agarwal · Jerome Abdelnour · Yufei Feng · vincent albouy · Siddharth Karamcheti · Derek Doran · Roberta Raileanu · Jonathan Heek
  • 2018 Workshop: Visually grounded interaction and language »
    Florian Strub · Harm de Vries · Erik Wijmans · Samyak Datta · Ethan Perez · Mateusz Malinowski · Stefan Lee · Peter Anderson · Aaron Courville · Jeremie MARY · Dhruv Batra · Devi Parikh · Olivier Pietquin · Chiori HORI · Tim Marks · Anoop Cherian
  • 2018 Poster: Computing Higher Order Derivatives of Matrix and Tensor Expressions »
    Sören Laue · Matthias Mitterreiter · Joachim Giesen
  • 2018 Poster: Snap ML: A Hierarchical Framework for Machine Learning »
    Celestine Dünner · Thomas Parnell · Dimitrios Sarigiannis · Nikolas Ioannou · Andreea Anghel · Gummadi Ravi · Madhusudanan Kandasamy · Haralampos Pozidis
  • 2017 : Poster Session (encompasses coffee break) »
    Beidi Chen · Borja Balle · Daniel Lee · iuri frosio · Jitendra Malik · Jan Kautz · Ke Li · Masashi Sugiyama · Miguel A. Carreira-Perpinan · Ramin Raziperchikolaei · Theja Tulabandhula · Yung-Kyun Noh · Adams Wei Yu
  • 2017 : Contributed talk: Unique Entity Estimation with Application to the Syrian Conflict »
    Beidi Chen
  • 2017 Demonstration: Matrix Calculus -- The Power of Symbolic Differentiation »
    Sören Laue · Matthias Mitterreiter · Joachim Giesen
  • 2017 Poster: Runtime Neural Pruning »
    Ji Lin · Yongming Rao · Jiwen Lu · Jie Zhou
  • 2012 Poster: Approximating Concavely Parameterized Optimization Problems »
    Joachim Giesen · Jens K Mueller · Sören Laue · Sascha Swiercy
  • 2012 Oral: Approximating Concavely Parameterized Optimization Problems »
    Joachim Giesen · Jens K Mueller · Sören Laue · Sascha Swiercy