research
∙
04/22/2023
Towards Understanding Feature Learning in Out-of-Distribution Generalization
A common explanation for the failure of out-of-distribution (OOD) genera...
share
research
∙
01/30/2023
ESC: Exploration with Soft Commonsense Constraints for Zero-shot Object Navigation
The ability to accurately locate and navigate to a specific object is a ...
research
∙
11/27/2022
Navigation as the Attacker Wishes? Towards Building Byzantine-Robust Embodied Agents under Federated Learning
Federated embodied agent learning protects the data privacy of individua...
research
∙
08/28/2022
JARVIS: A Neuro-Symbolic Commonsense Reasoning Framework for Conversational Embodied Agents
Building a conversational embodied agent to execute real-life tasks has ...
research
∙
06/27/2022
Efficient Private SCO for Heavy-Tailed Data via Clipping
We consider stochastic convex optimization for heavy-tailed data with th...
research
∙
06/15/2022
Pareto Invariant Risk Minimization
Despite the success of invariant risk minimization (IRM) in tackling the...
research
∙
06/15/2022
Fast and Reliable Evaluation of Adversarial Robustness with Minimum-Margin Attack
The AutoAttack (AA) has been the most reliable method to evaluate advers...
research
∙
03/28/2022
FedVLN: Privacy-preserving Federated Vision-and-Language Navigation
Data privacy is a central problem for embodied agents that can perceive ...
research
∙
09/30/2021
Accelerating Perturbed Stochastic Iterates in Asynchronous Lock-Free Optimization
We show that stochastic acceleration can be achieved under the perturbed...
research
∙
06/30/2021
Local Reweighting for Adversarial Training
Instances-reweighted adversarial training (IRAT) can significantly boost...
research
∙
05/25/2021
Practical Schemes for Finding Near-Stationary Points of Convex Finite-Sums
The problem of finding near-stationary points in convex optimization has...
research
∙
05/25/2020
Boosting First-order Methods by Shifting Objective: New Schemes with Faster Worst Case Rates
We propose a new methodology to design first-order methods for unconstra...
research
∙
01/31/2020
Convolutional Embedding for Edit Distance
Edit-distance-based string similarity search has many applications such ...
research
∙
01/31/2020
Edit Distance Embedding using Convolutional Neural Networks
Edit-distance-based string similarity search has many applications such ...
research
∙
11/12/2019
Hyper-Sphere Quantization: Communication-Efficient SGD for Federated Learning
The high cost of communicating gradients is a major bottleneck for feder...
research
∙
10/22/2018
Norm-Range Partition: A Univiseral Catalyst for LSH based Maximum Inner Product Search (MIPS)
Recently, locality sensitive hashing (LSH) was shown to be effective for...
research
∙
10/07/2018
ASVRG: Accelerated Proximal SVRG
This paper proposes an accelerated proximal stochastic variance reduced ...
research
∙
06/28/2018
Direct Acceleration of SAGA using Sampled Negative Momentum
Variance reduction is a simple and effective technique that accelerates ...
research
∙
06/28/2018
A Simple Stochastic Variance Reduced Algorithm with Fast Convergence Rates
Recent years have witnessed exciting progress in the study of stochastic...
research
∙
02/26/2018
VR-SGD: A Simple Stochastic Variance Reduction Method for Machine Learning
In this paper, we propose a simple variant of the original SVRG, called ...
research
∙
02/26/2018