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08/28/2023
The USTC-NERCSLIP Systems for the CHiME-7 DASR Challenge
This technical report details our submission system to the CHiME-7 DASR ...
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05/13/2023
GSB: Group Superposition Binarization for Vision Transformer with Limited Training Samples
Affected by the massive amount of parameters, ViT usually suffers from s...
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03/02/2023
BPT: Binary Point Cloud Transformer for Place Recognition
Place recognition, an algorithm to recognize the re-visited places, play...
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01/28/2023
MetaNO: How to Transfer Your Knowledge on Learning Hidden Physics
Gradient-based meta-learning methods have primarily been applied to clas...
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11/30/2022
Knowledge-augmented Deep Learning and Its Applications: A Survey
Deep learning models, though having achieved great success in many diffe...
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10/20/2022
Learning and Retrieval from Prior Data for Skill-based Imitation Learning
Imitation learning offers a promising path for robots to learn general-p...
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06/24/2022
Phasic Self-Imitative Reduction for Sparse-Reward Goal-Conditioned Reinforcement Learning
It has been a recent trend to leverage the power of supervised learning ...
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01/06/2022
Nonlocal Kernel Network (NKN): a Stable and Resolution-Independent Deep Neural Network
Neural operators have recently become popular tools for designing soluti...
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12/29/2021
Onsite Non-Line-of-Sight Imaging via Online Calibrations
There has been an increasing interest in deploying non-line-of-sight (NL...
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09/25/2021
Logical Credal Networks
This paper introduces Logical Credal Networks, an expressive probabilist...
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06/15/2021
Image Feature Information Extraction for Interest Point Detection: A Comprehensive Review
Interest point detection is one of the most fundamental and critical pro...
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06/14/2021
DAGs with No Curl: An Efficient DAG Structure Learning Approach
Recently directed acyclic graph (DAG) structure learning is formulated a...
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03/19/2021
USTC-NELSLIP System Description for DIHARD-III Challenge
This system description describes our submission system to the Third DIH...
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02/05/2021
Integer Programming for Causal Structure Learning in the Presence of Latent Variables
The problem of finding an ancestral acyclic directed mixed graph (ADMG) ...
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01/02/2021
Non-line-of-Sight Imaging via Neural Transient Fields
We present a neural modeling framework for Non-Line-of-Sight (NLOS) imag...
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10/18/2020
DAGs with No Fears: A Closer Look at Continuous Optimization for Learning Bayesian Networks
This paper re-examines a continuous optimization framework dubbed NOTEAR...
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10/05/2020
MCMH: Learning Multi-Chain Multi-Hop Rules for Knowledge Graph Reasoning
Multi-hop reasoning approaches over knowledge graphs infer a missing rel...
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09/16/2020
Type-augmented Relation Prediction in Knowledge Graphs
Knowledge graphs (KGs) are of great importance to many real world applic...
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09/05/2020
"And the Winner Is...": Dynamic Lotteries for Multi-group Fairness-Aware Recommendation
As recommender systems are being designed and deployed for an increasing...
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02/21/2020
A Multi-Channel Neural Graphical Event Model with Negative Evidence
Event datasets are sequences of events of various types occurring irregu...
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10/31/2019
Do Multi-hop Readers Dream of Reasoning Chains?
General Question Answering (QA) systems over texts require the multi-hop...
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09/17/2019
Multi-step Entity-centric Information Retrieval for Multi-Hop Question Answering
Multi-hop question answering (QA) requires an information retrieval (IR)...
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07/09/2019
Characterization of Overlap in Observational Studies
Overlap between treatment groups is required for nonparametric estimatio...
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06/05/2019
Generalized Linear Rule Models
This paper considers generalized linear models using rule-based features...
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06/02/2019
Does It Make Sense? And Why? A Pilot Study for Sense Making and Explanation
Introducing common sense to natural language understanding systems has r...
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04/22/2019
DAG-GNN: DAG Structure Learning with Graph Neural Networks
Learning a faithful directed acyclic graph (DAG) from samples of a joint...
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03/12/2019
A Sequential Set Generation Method for Predicting Set-Valued Outputs
Consider a general machine learning setting where the output is a set of...
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08/05/2017
