Research Output

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2020

A recurrent Markov state-space generative model for sequences

Ramachandran, A., Lumetta, S. S., Klee, E. & Chen, D., 2020.

Research output: Contribution to conferencePaper

High frequency residual learning for multi-scale image classification

Cheng, B., Xiao, R., Wang, J., Huang, T. & Zhang, L., 2020.

Research output: Contribution to conferencePaper

Improving object detection from scratch via gated feature reuse

Shen, Z., Shi, H., Yu, J., Phan, H., Feris, R., Cao, L., Liu, D., Wang, X., Huang, T. & Savvides, M., 2020.

Research output: Contribution to conferencePaper

Interpreting black box predictions using fisher kernels

Khanna, R., Kim, B., Ghosh, J. & Koyejo, O., 2020.

Research output: Contribution to conferencePaper

Kernel exponential family estimation via doubly dual embedding

Dai, B., Dai, H., Gretton, A., Song, L., Schuurmans, D. & He, N., 2020.

Research output: Contribution to conferencePaper

Learning one-hidden-layer neural networks under general input distributions

Gao, W., Makkuva, A. V., Oh, S. & Viswanath, P., 2020.

Research output: Contribution to conferencePaper

Performance metric elicitation from pairwise classifier comparisons

Hiranandani, G., Boodaghians, S., Mehta, R. & Koyejo, O., 2020.

Research output: Contribution to conferencePaper

Wide activation for efficient image and video super-resolution

Yu, J., Fan, Y. & Huang, T., 2020.

Research output: Contribution to conferencePaper

2019

Accumulation bit-width scaling for ultra-low precision training of deep networks

Sakr, C., Wang, N., Chen, C. Y., Choi, J., Agrawal, A., Shanbhag, N. & Gopalakrishnan, K., 2019.

Research output: Contribution to conferencePaper

Fall of empires: Breaking byzantine-tolerant SGD by inner product manipulation

Xie, C., Koyejo, O. & Gupta, I., 2019.

Research output: Contribution to conferencePaper

Fast generation for convolutional autoregressive models

Ramachandran, P., Le Paine, T., Khorrami, P., Babaeizadeh, M., Chang, S., Zhang, Y., Hasegawa-Johnson, M., Campbell, R. & Huang, T., 2019.

Research output: Contribution to conferencePaper

Joint nonparametric precision matrix estimation with confounding

Geng, S., Kolar, M. & Koyejo, O., 2019.

Research output: Contribution to conferencePaper

Knowledge flow: Improve upon your teachers

Liu, I. J., Peng, J. & Schwing, A. G., 2019.

Research output: Contribution to conferencePaper

LanczosNet: Multi-scale deep graph convo-lutional networks

Liao, R., Zhao, Z., Urtasun, R. & Zemel, R. S., 2019.

Research output: Contribution to conferencePaper

Model-Based Reinforcement Learning for Atari

Campbell, R., Mar 2019.

Research output: Contribution to conferencePaper

On the convergence of a class of Adam-type algorithms for non-convex optimization

Chen, X., Liu, S., Sun, R. & Hong, M., 2019.

Research output: Contribution to conferencePaper

Per-tensor fixed-point quantization of the back-propagation algorithm

Sakr, C. & Shanbhag, N., 2019.

Research output: Contribution to conferencePaper

Random mesh projectors for inverse problems

Kothari, K., Gupta, S., De Hoop, M. V. & Dokmanić, I., 2019.

Research output: Contribution to conferencePaper

Slimmable neural networks

Yu, J., Yang, L., Xu, N., Yang, J. & Huang, T., 2019.

Research output: Contribution to conferencePaper

The impact of secure transport protocols on phishing efficacy

Ma, Z., Reynolds, J., Dickinson, J., Wang, K., Judd, T., Barnes, J. D., Mason, J. & Bailey, M., Jan 1 2019.

Research output: Contribution to conferencePaper

Triton: A software-reconfigurable federated avionics testbed

Crow, S., Farinholt, B., Johannesmeyer, B., Koscher, K., Checkoway, S., Savage, S., Schulman, A., Snoeren, A. C. & Levchenko, K., 2019.

Research output: Contribution to conferencePaper

2018

3D-Filtermap: A compact architecture for deep convolutional neural networks

Yang, Y., Yang, J., Xu, N., Han, W., Jojic, N. & Huang, T. S., 2018.

Research output: Contribution to conferencePaper

All-but-the-top: Simple and effective post-processing for word representations

Mu, J. & Viswanath, P., 2018.

Research output: Contribution to conferencePaper

Bayesian structure learning for dynamic brain connectivity

Andersen, M. R., Winther, O., Hansen, L. K., Poldrack, R. & Koyejo, O., Jan 1 2018, p. 1436-1446. 11 p.

Research output: Contribution to conferencePaper

Boosting the actor with dual critic

Dai, B., Shaw, A., He, N., Li, L. & Song, L., 2018.

Research output: Contribution to conferencePaper

Communication algorithms via deep learning

Kim, H., Jiang, Y., Rana, R., Kannan, S., Oh, S. & Viswanath, P., 2018.

Research output: Contribution to conferencePaper

Design and evaluation of the postursense cushion

Garag, P., Chen, A., McDonagh, D. & Hsiao-Wecksler, E. T., Jan 1 2018.

Research output: Contribution to conferencePaper

DLVM: A modern compiler infrastructure for deep learning systems

Wei, R., Schwartz, L. & Adve, V., 2018.

Research output: Contribution to conferencePaper

Enhancing the reliability of out-of-distribution image detection in neural networks

Liang, S., Li, Y. & Srikant, R., 2018.

Research output: Contribution to conferencePaper

Fast and accurate text classification: Skimming, rereading and early stopping

Yu, K., Liu, Y., Schwing, A. G. & Peng, J., 2018.

Research output: Contribution to conferencePaper

Revised design of a passive hydraulic training simulator of biceps spasticity

Pei, Y., Ewoldt, R. H., Zallek, C. M. & Hsiao-Wecksler, E. T., Jan 1 2018.

Research output: Contribution to conferencePaper

Understanding the loss surface of single-layered neural networks for binary classification

Liang, S., Sun, R., Srikant, R. & Li, Y., 2018.

Research output: Contribution to conferencePaper

Validation of a wearable position, velocity, and resistance meter for assessing spasticity and rigidity

Song, S. Y., Pei, Y., Tippett, S. R., Lamichhane, D., Zallek, C. M. & Hsiao-Wecksler, E. T., Jan 1 2018.

Research output: Contribution to conferencePaper

Who they are and what they want: Understanding the reasons for MOOC enrollment

Wes Crues, R., Bosch, N., Anderson, C. J., Perry, M., Bhat, S. & Shaik, N., 2018.

Research output: Contribution to conferencePaper

2017

An ISP-scale deployment of tapdance

Frolov, S., Douglas, F., Scott, W., McDonald, A., Vandersloot, B., Hynes, R., Kruger, A., Kallitsis, M., Robinson, D. G., Schultze, S., Borisov, N., Halderman, J. A. & Wustrow, E., 2017.

Research output: Contribution to conferencePaper

Efficient rank aggregation via Lehmer codes

Li, P., Mazumdar, A. & Milenkovic, O., 2017.

Research output: Contribution to conferencePaper

Fast-forwarding to desired visualizations with zenvisage

Siddiqui, T., Lee, J., Kim, A., Xue, E., Wang, C., Zou, Y., Guo, L., Liu, C., Yu, X., Karahalios, K. & Parameswaran, A., 2017.

Research output: Contribution to conferencePaper

FAST TWO-DIMENSIONAL MEDIAN FILTERING ALGORITHM.

Huang, T. S., Yang, G. J. & Tang, G. Y., Jan 1 2017, p. 128-113. 16 p.

Research output: Contribution to conferencePaper

Frequency domain predictive modelling with aggregated data

Bhowmik, A., Ghosh, J. & Koyejo, O., 2017.

Research output: Contribution to conferencePaper

Geometry of compositionality

Gong, H., Bhat, S. & Viswanath, P., Jan 1 2017, p. 3202-3208. 7 p.

Research output: Contribution to conferencePaper

Geometry of polysemy

Mu, J., Bhat, S. & Viswanath, P., 2017.

Research output: Contribution to conferencePaper

HAWAII INTERNATIONAL CONFERENCE ON SYSTEM SCIENCES, 6TH, PROCEEDINGS, 1973.

Wahba, G., Nashed, M. Z., Goh, B. S., Brusch, R. G., Schappelle, R. H., Bhatt, P. C. P., Bandler, J. W., Srinivasan, T. V., Chyung, D. H., Basar, T., Wilson, D. J., Wiberg, D. M. & Mintz, M., Jan 1 2017.

Research output: Contribution to conferencePaper

Information projection and approximate inference for structured sparse variables

Khanna, R., Ghosh, J., Poldrack, R. & Koyejo, O., 2017.

Research output: Contribution to conferencePaper

Learner affect through the looking glass: Characterization and detection of confusion in online courses

Zeng, Z., Chaturvedi, S. & Bhat, S., Jan 1 2017, p. 272-277. 6 p.

Research output: Contribution to conferencePaper

Learning from conditional distributions via dual embeddings

Dai, B., He, N., Pan, Y., Boots, B. & Song, L., 2017.

Research output: Contribution to conferencePaper

Learning to play in a day: Faster deep reinforcement learning by optimality tightening

He, F. S., Liu, Y., Schwing, A. G. & Peng, J., 2017.

Research output: Contribution to conferencePaper

Neighborhood regularized ℓ1-graph

Yang, Y., Feng, J., Yu, J., Yang, J., Kohli, P. & Huang, T. S., Jan 1 2017.

Research output: Contribution to conferencePaper

ON THE FORMULATION OF POWER DISTRIBUTION FACTORS FOR LINEAR LOAD FLOW METHODS.

Sauer, P. W., Jan 1 2017.

Research output: Contribution to conferencePaper