I am a Researcher working at NEC Labs. My current interests are in efficient representation learning.
News: Our new visual entailment dataset (SNLI-VE) is available for download here.

Email: firstname@nec-labs.com

Service:

• Program Committee: AAAI 2019, SoCC 2018, ICML 2018, USENIX ATC 2018, AAAI 2018, SoCC 2017 (Scholarship Chair), ICML 2017, APSys 2016.
• Conference Reviewer: ICLR 2019, ASPLOS 2019 (ERC), NIPS 2018, ICLR 2018(+W), NIPS 2017, NIPS 2016, USENIX ATC 2011, SIGMETRICS 2010.
• Journal/Workshop: NIPS LearningSys 2018, NIPS LearningSys 2017, NIPS LearningSys 2016, EMDNN 2016, IEEE Computing, Software; ACM: TACO, TECS, TOCS.

Recent Publications (All):

• Teaching Syntax using Adverserial Distraction. Juho Kim, Christopher Malon, and Asim Kadav. In FEVER-EMNLP, 2018. PDF.

• Attend and Interact: Higher-Order Object Interactions for Video Understanding. Chih-Yao Ma, Asim Kadav, Iain Melvin, Zsolt Kira, Ghassan AlRegib, and Hans Peter Graf. In CVPR, 2018. PDF. Video NEC Video. Live Demo.

• Adaptive Memory Networks. Daniel Li, Asim Kadav. Accepted at ICLR '18 (Workshop Track). PDF.

• A Context-Aware Attention Network for Interactive QA. Huayu Li, Martin Renqiang Min, Yong Ge, Asim Kadav. In KDD, 2017. PDF.Poster.

• Pruning Filters for Efficient ConvNets. Hao Li, Asim Kadav, Igor Durdanovic, Hanan Samet, Hans Peter Graf. In ICLR'17. PDF. Poster.Code (Reproduced by others).

• DeepConfig: Automating Data Center Network Topologies Management with Machine Learning. Christopher Streiffer, Huan Chen, Theophilus Benson, Asim Kadav. SIGCOMM Net AI Workshop, 2018. PDF.

• ASAP: Asynchronous Approximate Data-Parallel Computation.
  Asim Kadav and Erik Kruus. arXiv Preprint. Dec 2016. PDF. Code.

• Privacy preserving collaboration in Bring Your Own Apps. Sangmin Lee, Deepak Goel, Edmund L. Wong, Asim Kadav, Mike Dahlin. In Symposium on Cloud Computing (SOCC '16). PDF.

• Random Walk Distributed Dual Averaging Method For Decentralized Consensus Optimization. Cun Mu, Asim Kadav, Erik Kruus, Donald Goldfarb, and Martin Renqiang Min. NIPS Optimization Workshop (NIPS OPT'15), Montreal, Canada, December 2015. PDF. Extended PDF. Poster.

• MALT: Distributed Data-Parallelism for existing ML applications. Hao Li, Asim Kadav, Erik Kruus, Cristian Ungureanu. ACM European Conference on Computer Systems, (Eurosys '15), Bordeaux, France, April 2015. PDF. Poster. Slides