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08/30/2023
Exploring Multi-Modal Contextual Knowledge for Open-Vocabulary Object Detection
In this paper, we for the first time explore helpful multi-modal context...
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08/19/2023
BLIVA: A Simple Multimodal LLM for Better Handling of Text-Rich Visual Questions
Vision Language Models (VLMs), which extend Large Language Models (LLM) ...
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08/07/2023
AgentBench: Evaluating LLMs as Agents
Large Language Models (LLMs) are becoming increasingly smart and autonom...
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06/18/2023
Deceptive AI Ecosystems: The Case of ChatGPT
ChatGPT, an AI chatbot, has gained popularity for its capability in gene...
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06/13/2023
WebGLM: Towards An Efficient Web-Enhanced Question Answering System with Human Preferences
We present WebGLM, a web-enhanced question-answering system based on the...
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05/30/2023
Multi-modal Queried Object Detection in the Wild
We introduce MQ-Det, an efficient architecture and pre-training strategy...
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03/26/2023
GOAL: A Challenging Knowledge-grounded Video Captioning Benchmark for Real-time Soccer Commentary Generation
Despite the recent emergence of video captioning models, how to generate...
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11/26/2022
Equity Promotion in Public Transportation
There are many news articles reporting the obstacles confronting poverty...
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10/19/2022
On the Feasibility of Cross-Task Transfer with Model-Based Reinforcement Learning
Reinforcement Learning (RL) algorithms can solve challenging control pro...
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10/05/2022
GLM-130B: An Open Bilingual Pre-trained Model
We introduce GLM-130B, a bilingual (English and Chinese) pre-trained lan...
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09/16/2022
SoLo T-DIRL: Socially-Aware Dynamic Local Planner based on Trajectory-Ranked Deep Inverse Reinforcement Learning
This work proposes a new framework for a socially-aware dynamic local pl...
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07/20/2022
Facial Affect Analysis: Learning from Synthetic Data Multi-Task Learning Challenges
Facial affect analysis remains a challenging task with its setting trans...
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06/21/2022
Providers-Clients-Robots: Framework for spatial-semantic planning for shared understanding in human-robot interaction
This paper develops a novel framework called Providers-Clients-Robots (P...
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06/07/2022
PyTSK: A Python Toolbox for TSK Fuzzy Systems
This paper presents PyTSK, a Python toolbox for developing Takagi-Sugeno...
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05/04/2022
RecipeSnap – a lightweight image-to-recipe model
In this paper we want to address the problem of automation for recogniti...
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01/09/2022
A multi-scale sampling method for accurate and robust deep neural network to predict combustion chemical kinetics
Machine learning has long been considered as a black box for predicting ...
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12/08/2021
Equity Promotion in Online Resource Allocation
We consider online resource allocation under a typical non-profit settin...
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09/18/2021
Fairness Maximization among Offline Agents in Online-Matching Markets
Matching markets involve heterogeneous agents (typically from two partie...
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08/03/2021
Evo-ViT: Slow-Fast Token Evolution for Dynamic Vision Transformer
Vision transformers have recently received explosive popularity, but the...
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06/10/2021
Convolutions and Self-Attention: Re-interpreting Relative Positions in Pre-trained Language Models
In this paper, we detail the relationship between convolutions and self-...
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04/21/2021
Towards Corruption-Agnostic Robust Domain Adaptation
Big progress has been achieved in domain adaptation in decades. Existing...
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04/14/2021
Pose Recognition with Cascade Transformers
In this paper, we present a regression-based pose recognition method usi...
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04/13/2021
Co-Scale Conv-Attentional Image Transformers
In this paper, we present Co-scale conv-attentional image Transformers (...
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03/23/2021
Efficiently Answering Durability Prediction Queries
We consider a class of queries called durability prediction queries that...
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02/08/2021
Curse of Dimensionality for TSK Fuzzy Neural Networks: Explanation and Solutions
Takagi-Sugeno-Kang (TSK) fuzzy system with Gaussian membership functions...
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01/06/2021
Line Segment Detection Using Transformers without Edges
In this paper, we present a holistically end-to-end algorithm for line s...
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12/12/2020
Trading the System Efficiency for the Income Equality of Drivers in Rideshare
Several scientific studies have reported the existence of the income gap...
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12/12/2020
A Unified Model for the Two-stage Offline-then-Online Resource Allocation
With the popularity of the Internet, traditional offline resource alloca...
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07/27/2020
Ladybird: Quasi-Monte Carlo Sampling for Deep Implicit Field Based 3D Reconstruction with Symmetry
Deep implicit field regression methods are effective for 3D reconstructi...
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06/23/2020
CrossPath: Top-down, Cross Data Type, Multi-Criterion Histological Analysis by Shepherding Mixed AI Models
Data-driven AI promises support for pathologists to discover sparse tumo...
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05/14/2020
Thompson Sampling for Combinatorial Semi-bandits with Sleeping Arms and Long-Term Fairness Constraints
We study the combinatorial sleeping multi-armed semi-bandit problem with...
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04/13/2020
Transfer Learning for EEG-Based Brain-Computer Interfaces: A Review of Progress Made Since 2016
A brain-computer interface (BCI) enables a user to communicate with a co...
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04/13/2020
Transfer Learning for EEG-Based Brain-Computer Interfaces: A Review of Progresses Since 2016
A brain-computer interface (BCI) enables a user to communicate directly ...
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04/02/2020
Guided Variational Autoencoder for Disentanglement Learning
We propose an algorithm, guided variational autoencoder (Guided-VAE), th...
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10/13/2019
Neural Program Synthesis By Self-Learning
Neural inductive program synthesis is a task generating instructions tha...
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10/13/2019
Rethinking Exposure Bias In Language Modeling
Exposure bias describes the phenomenon that a language model trained und...
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09/25/2019
EEG-Based Driver Drowsiness Estimation Using Feature Weighted Episodic Training
Drowsy driving is pervasive, and also a major cause of traffic accidents...
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08/22/2019
Multi-Task Deep Learning with Dynamic Programming for Embryo Early Development Stage Classification from Time-Lapse Videos
Time-lapse is a technology used to record the development of embryos dur...
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02/16/2019
LISA: a MATLAB package for Longitudinal Image Sequence Analysis
Large sequences of images (or movies) can now be obtained on an unpreced...
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06/28/2018
A NUMA-Aware Provably-Efficient Task-Parallel Platform Based on the Work-First Principle
Task parallelism is designed to simplify the task of parallel programmin...
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03/30/2018
