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09/01/2023
OpenIns3D: Snap and Lookup for 3D Open-vocabulary Instance Segmentation
Current 3D open-vocabulary scene understanding methods mostly utilize we...
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08/22/2023
SwinFace: A Multi-task Transformer for Face Recognition, Expression Recognition, Age Estimation and Attribute Estimation
In recent years, vision transformers have been introduced into face reco...
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08/08/2023
Teacher-Student Architecture for Knowledge Distillation: A Survey
Although Deep neural networks (DNNs) have shown a strong capacity to sol...
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07/08/2023
Is ChatGPT a Good Personality Recognizer? A Preliminary Study
In recent years, personality has been regarded as a valuable personal fa...
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06/21/2023
Memory-Query Tradeoffs for Randomized Convex Optimization
We show that any randomized first-order algorithm which minimizes a d-di...
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05/15/2023
Continual Multimodal Knowledge Graph Construction
Multimodal Knowledge Graph Construction (MKGC) involves creating structu...
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04/20/2023
New Lower Bounds for Adaptive Tolerant Junta Testing
We prove a k^-Ω(log(ε_2 - ε_1)) lower bound for adaptively testing wheth...
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04/06/2023
FengWu: Pushing the Skillful Global Medium-range Weather Forecast beyond 10 Days Lead
We present FengWu, an advanced data-driven global medium-range weather f...
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02/17/2023
Uniformity Testing over Hypergrids with Subcube Conditioning
We give an algorithm for testing uniformity of distributions supported o...
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12/30/2022
Online Statistical Inference for Contextual Bandits via Stochastic Gradient Descent
With the fast development of big data, it has been easier than before to...
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10/06/2022
MuRAG: Multimodal Retrieval-Augmented Generator for Open Question Answering over Images and Text
While language Models store a massive amount of world knowledge implicit...
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09/12/2022
PreSTU: Pre-Training for Scene-Text Understanding
The ability to read and reason about texts in an image is often lacking ...
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09/12/2022
Towards Multi-Lingual Visual Question Answering
Visual Question Answering (VQA) has been primarily studied through the l...
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08/05/2022
DP^2-VAE: Differentially Private Pre-trained Variational Autoencoders
Modern machine learning systems achieve great success when trained on la...
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07/18/2022
In-plane prestressed hair clip mechanism for the fastest untethered compliant fish robot
A trend has emerged over the past decades pointing to the harnessing of ...
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09/29/2021
PAC-Bayes Information Bottleneck
Information bottleneck (IB) depicts a trade-off between the accuracy and...
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09/08/2021
Graph-MVP: Multi-View Prototypical Contrastive Learning for Multiplex Graphs
Contrastive Learning (CL) is one of the most popular self-supervised lea...
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07/24/2021
Near-Optimal Average-Case Approximate Trace Reconstruction from Few Traces
In the standard trace reconstruction problem, the goal is to exactly rec...
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07/23/2021
Pruning Ternary Quantization
We propose pruning ternary quantization (PTQ), a simple, yet effective, ...
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03/08/2021
No Discounted-Regret Learning in Adversarial Bandits with Delays
Consider a player that in each round t out of T rounds chooses an action...
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12/25/2020
EdgeDRNN: Recurrent Neural Network Accelerator for Edge Inference
Low-latency, low-power portable recurrent neural network (RNN) accelerat...
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12/04/2020
Polynomial-time trace reconstruction in the low deletion rate regime
In the trace reconstruction problem, an unknown source string x ∈{0,1}^n...
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08/27/2020
Polynomial-time trace reconstruction in the smoothed complexity model
In the trace reconstruction problem, an unknown source string x ∈{0,1}^n...
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06/15/2020
NeuroCard: One Cardinality Estimator for All Tables
Query optimizers rely on accurate cardinality estimates to produce good ...
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11/23/2019
Smoothed complexity of local Max-Cut and binary Max-CSP
We show that the smoothed complexity of the FLIP algorithm for local Max...
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04/10/2019
Testing Unateness Nearly Optimally
We present an Õ(n^2/3/ϵ^2)-query algorithm that tests whether an unknown...
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07/18/2018
Detecting strong signals in gene perturbation experiments: An adaptive approach with power guarantee and FDR control
The perturbation of a transcription factor should affect the expression ...
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09/18/2017
A Note on Tight Lower Bound for MNL-Bandit Assortment Selection Models
In this note we prove a tight lower bound for the MNL-bandit assortment ...
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08/19/2017
Boolean Unateness Testing with O(n^3/4) Adaptive Queries
We give an adaptive algorithm which tests whether an unknown Boolean fun...
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08/09/2017
Non-stationary Stochastic Optimization with Local Spatial and Temporal Changes
We consider a non-stationary sequential stochastic optimization problem,...
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07/11/2017
Meta-Learning with Temporal Convolutions
Deep neural networks excel in regimes with large amounts of data, but te...
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03/10/2017
Evolution Strategies as a Scalable Alternative to Reinforcement Learning
We explore the use of Evolution Strategies (ES), a class of black box op...
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11/09/2016
