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06/01/2023
Normalization Enhances Generalization in Visual Reinforcement Learning
Recent advances in visual reinforcement learning (RL) have led to impres...
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05/25/2023
Learning Better with Less: Effective Augmentation for Sample-Efficient Visual Reinforcement Learning
Data augmentation (DA) is a crucial technique for enhancing the sample e...
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04/22/2023
Dehazing-NeRF: Neural Radiance Fields from Hazy Images
Neural Radiance Field (NeRF) has received much attention in recent years...
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11/21/2022
SLUGBOT, an Aplysia-inspired Robotic Grasper for Studying Control
Living systems can use a single periphery to perform a variety of tasks ...
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10/20/2022
Mathematical Justification of Hard Negative Mining via Isometric Approximation Theorem
In deep metric learning, the Triplet Loss has emerged as a popular metho...
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08/12/2022
Wasserstein Complexity of Quantum Circuits
Given a unitary transformation, what is the size of the smallest quantum...
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05/11/2022
READ: Large-Scale Neural Scene Rendering for Autonomous Driving
Synthesizing free-view photo-realistic images is an important task in mu...
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04/26/2022
Complexity of quantum circuits via sensitivity, magic, and coherence
Quantum circuit complexity-a measure of the minimum number of gates need...
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03/29/2022
Design of a Biomimetic Tactile Sensor for Material Classification
Tactile sensing typically involves active exploration of unknown surface...
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08/19/2021
Towards a Multispectral RGB-IR-UV-D Vision System – Seeing the Invisible in 3D
In this paper, we present the development of a sensing system with the c...
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08/05/2021
Hybrid Reasoning Network for Video-based Commonsense Captioning
The task of video-based commonsense captioning aims to generate event-wi...
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05/31/2021
The x-index: A new citation-distance-based index to measure academic influence
An important issue in the field of academic measurement is how to evalua...
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05/20/2021
Content-Augmented Feature Pyramid Network with Light Linear Transformers
Recently, plenty of work has tried to introduce transformers into comput...
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05/14/2021
Minimal Cycle Representatives in Persistent Homology using Linear Programming: an Empirical Study with User's Guide
Cycle representatives of persistent homology classes can be used to prov...
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04/25/2021
A new symmetric linearly implicit exponential integrator preserving polynomial invariants or Lyapunov functions for conservative or dissipative systems
We present a new linearly implicit exponential integrator that preserves...
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02/05/2021
Effects of quantum resources on the statistical complexity of quantum circuits
We investigate how the addition of quantum resources changes the statist...
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01/15/2021
On the statistical complexity of quantum circuits
In theoretical machine learning, the statistical complexity is a notion ...
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11/22/2020
Robust Gaussian Process Regression Based on Iterative Trimming
The model prediction of the Gaussian process (GP) regression can be sign...
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10/12/2020
OCNLI: Original Chinese Natural Language Inference
Despite the tremendous recent progress on natural language inference (NL...
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09/22/2020
Outcome regression-based estimation of conditional average treatment effect
The research is about a systematic investigation on the following issues...
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04/13/2020
CLUE: A Chinese Language Understanding Evaluation Benchmark
We introduce CLUE, a Chinese Language Understanding Evaluation benchmark...
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01/13/2020
CLUENER2020: Fine-grained Named Entity Recognition Dataset and Benchmark for Chinese
In this paper, we introduce the NER dataset from CLUE organization (CLUE...
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01/13/2020
CLUENER2020: Fine-grained Name Entity Recognition for Chinese
In this paper, we introduce the NER dataset from CLUE organization (CLUE...
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12/10/2019
How to Evaluate the Next System: Automatic Dialogue Evaluation from the Perspective of Continual Learning
Automatic dialogue evaluation plays a crucial role in open-domain dialog...
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10/24/2019
Leveraging access mode declarations in a model for memory consistency in heterogeneous systems
On a system that exposes disjoint memory spaces to the software, a progr...
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09/26/2019
Dynamic Partial Sufficient Dimension Reduction
Sufficient dimension reduction aims for reduction of dimensionality of a...
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07/03/2019
Linearly implicit local and global energy-preserving methods for Hamiltonian PDEs
We present linearly implicit methods that preserve discrete approximatio...
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04/15/2019
Learning Spatiotemporal Features of Ride-sourcing Services with Fusion Convolutional Network
In order to collectively forecast the demand of ride-sourcing services i...
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02/26/2019
MRS-VPR: a multi-resolution sampling based global visual place recognition method
Place recognition and loop closure detection are challenging for long-te...
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02/26/2019
A Multi-Domain Feature Learning Method for Visual Place Recognition
Visual Place Recognition (VPR) is an important component in both compute...
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11/23/2017
A surgical system for automatic registration, stiffness mapping and dynamic image overlay
In this paper we develop a surgical system using the da Vinci research k...
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04/18/2017