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07/24/2023
A Systematic Survey of Prompt Engineering on Vision-Language Foundation Models
Prompt engineering is a technique that involves augmenting a large pre-t...
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07/11/2023
Towards A Scalable Solution for Improving Multi-Group Fairness in Compositional Classification
Despite the rich literature on machine learning fairness, relatively lit...
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06/25/2023
Let's Do a Thought Experiment: Using Counterfactuals to Improve Moral Reasoning
Language models still struggle on moral reasoning, despite their impress...
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06/03/2023
Uncovering the Hidden Dynamics of Video Self-supervised Learning under Distribution Shifts
Video self-supervised learning (VSSL) has made significant progress in r...
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04/17/2023
Towards Robust Prompts on Vision-Language Models
With the advent of vision-language models (VLMs) that can perform in-con...
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12/15/2021
Database Search Results Disambiguation for Task-Oriented Dialog Systems
As task-oriented dialog systems are becoming increasingly popular in our...
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12/15/2021
CheckDST: Measuring Real-World Generalization of Dialogue State Tracking Performance
Recent neural models that extend the pretrain-then-finetune paradigm con...
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11/08/2021
Information-Theoretic Bayes Risk Lower Bounds for Realizable Models
We derive information-theoretic lower bounds on the Bayes risk and gener...
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10/28/2021
FeO2: Federated Learning with Opt-Out Differential Privacy
Federated learning (FL) is an emerging privacy-preserving paradigm, wher...
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10/21/2021
DAIR: Data Augmented Invariant Regularization
While deep learning through empirical risk minimization (ERM) has succee...
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09/13/2021
On Tilted Losses in Machine Learning: Theory and Applications
Exponential tilting is a technique commonly used in fields such as stati...
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05/29/2021
Annotation Inconsistency and Entity Bias in MultiWOZ
MultiWOZ is one of the most popular multi-domain task-oriented dialog da...
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02/24/2021
FERMI: Fair Empirical Risk Minimization via Exponential Rényi Mutual Information
In this paper, we propose a new notion of fairness violation, called Exp...
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01/01/2021
DVD: A Diagnostic Dataset for Multi-step Reasoning in Video Grounded Dialogue
A video-grounded dialogue system is required to understand both dialogue...
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12/31/2020
Coded Machine Unlearning
Models trained in machine learning processes may store information about...
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12/08/2020
Federated Multi-Task Learning for Competing Constraints
In addition to accuracy, fairness and robustness are two critical concer...
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11/12/2020
Overview of the Ninth Dialog System Technology Challenge: DSTC9
This paper introduces the Ninth Dialog System Technology Challenge (DSTC...
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11/10/2020
Resource Constrained Dialog Policy Learning via Differentiable Inductive Logic Programming
Motivated by the needs of resource constrained dialog policy learning, w...
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08/28/2020
Centralized vs Decentralized Targeted Brute-Force Attacks: Guessing with Side-Information
According to recent empirical studies, a majority of users have the same...
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07/02/2020
Tilted Empirical Risk Minimization
Empirical risk minimization (ERM) is typically designed to perform well ...
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06/24/2020
Competitive Balance in Team Sports Games
Competition is a primary driver of player satisfaction and engagement in...
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06/02/2020
Situated and Interactive Multimodal Conversations
Next generation virtual assistants are envisioned to handle multimodal i...
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07/04/2019
Bayesian Nonlinear Function Estimation with Approximate Message Passing
In many areas, massive amounts of data are collected and analyzed in ord...
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07/01/2019
Mismatched Guesswork
We study the problem of mismatched guesswork, where we evaluate the numb...
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06/25/2019
On Multi-Agent Learning in Team Sports Games
In recent years, reinforcement learning has been successful in solving v...
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06/03/2019
Towards Interactive Training of Non-Player Characters in Video Games
There is a high demand for high-quality Non-Player Characters (NPCs) in ...
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03/25/2019
Winning Isn't Everything: Enhancing Game Development with Intelligent Agents
Recently, there have been several high-profile achievements of agents le...
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03/25/2019
Winning Isn't Everything: Training Human-Like Agents for Playtesting and Game AI
Recently, there have been several high-profile achievements of agents le...
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01/11/2019
Universal Compression with Side Information from a Correlated Source
Packets originated from an information source in the network can be high...
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10/26/2018
Information Bottleneck Methods for Distributed Learning
We study a distributed learning problem in which Alice sends a compresse...
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05/29/2018
Why Botnets Work: Distributed Brute-Force Attacks Need No Synchronization
In September 2017, McAffee Labs quarterly report estimated that brute fo...
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01/27/2018
A Characterization of Guesswork on Swiftly Tilting Curves
Given a collection of strings, each with an associated probability of oc...
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12/25/2017
Guesswork Subject to a Total Entropy Budget
We consider an abstraction of computational security in password protect...
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12/19/2017
On Data-Dependent Random Features for Improved Generalization in Supervised Learning
The randomized-feature approach has been successfully employed in large-...
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11/14/2017
On Optimal Generalizability in Parametric Learning
We consider the parametric learning problem, where the objective of the ...
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05/08/2016