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08/14/2023
Dialogue for Prompting: a Policy-Gradient-Based Discrete Prompt Optimization for Few-shot Learning
Prompt-based pre-trained language models (PLMs) paradigm have succeeded ...
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06/16/2023
Democratizing Chatbot Debugging: A Computational Framework for Evaluating and Explaining Inappropriate Chatbot Responses
Evaluating and understanding the inappropriateness of chatbot behaviors ...
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03/13/2023
Score Attack: A Lower Bound Technique for Optimal Differentially Private Learning
Achieving optimal statistical performance while ensuring the privacy of ...
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03/06/2023
Improved Differentially Private Regression via Gradient Boosting
We revisit the problem of differentially private squared error linear re...
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12/20/2022
CoCo: Coherence-Enhanced Machine-Generated Text Detection Under Data Limitation With Contrastive Learning
Machine-Generated Text (MGT) detection, a task that discriminates MGT fr...
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11/01/2021
Analyzing Behavioral Changes of Twitter Users After Exposure to Misinformation
Social media platforms have been exploited to disseminate misinformation...
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04/17/2021
Jump on the Bandwagon? – Characterizing Bandwagon Phenomenon in Online NBA Fan Communities
Understanding user dynamics in online communities has become an active r...
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12/03/2020
Sonic Sculpture: Activating Engagement with Head-Mounted Augmented Reality
This work examines how head-mounted AR can be used to build an interacti...
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11/08/2020
The Cost of Privacy in Generalized Linear Models: Algorithms and Minimax Lower Bounds
We propose differentially private algorithms for parameter estimation in...
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07/01/2020
Learning unbiased zero-shot semantic segmentation networks via transductive transfer
Semantic segmentation, which aims to acquire a detailed understanding of...
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09/04/2019
Fundamental Tradeoffs in Uplink Grant-Free Multiple Access with Protected CSI
In the envisioned 5G, uplink grant-free multiple access will become the ...
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04/08/2019
Hierarchical Temporal Convolutional Networks for Dynamic Recommender Systems
Recommender systems that can learn from cross-session data to dynamicall...
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03/15/2019
BugSwarm: Mining and Continuously Growing a Dataset of Reproducible Failures and Fixes
Fault-detection, localization, and repair methods are vital to software ...
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02/12/2019
The Cost of Privacy: Optimal Rates of Convergence for Parameter Estimation with Differential Privacy
Privacy-preserving data analysis is a rising challenge in contemporary s...
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05/22/2018
Learning to Optimize via Wasserstein Deep Inverse Optimal Control
We study the inverse optimal control problem in social sciences: we aim ...
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01/23/2018
Code-Frequency Block Group Coding for Anti-Spoofing Pilot Authentication in Multi-Antenna OFDM Systems
A pilot spoofer can paralyze the channel estimation in multi-user orthog...
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05/16/2017
Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge Graphs
The availability of large scale event data with time stamps has given ri...
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08/03/2016
Fast and Simple Optimization for Poisson Likelihood Models
Poisson likelihood models have been prevalently used in imaging, social ...
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07/08/2015