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07/15/2023
PSGformer: Enhancing 3D Point Cloud Instance Segmentation via Precise Semantic Guidance
Most existing 3D instance segmentation methods are derived from 3D seman...
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07/10/2023
RLTF: Reinforcement Learning from Unit Test Feedback
The goal of program synthesis, or code generation, is to generate execut...
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06/06/2023
On Manipulating Signals of User-Item Graph: A Jacobi Polynomial-based Graph Collaborative Filtering
Collaborative filtering (CF) is an important research direction in recom...
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05/26/2023
Image Quality Is Not All You Want: Task-Driven Lens Design for Image Classification
In computer vision, it has long been taken for granted that high-quality...
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05/26/2023
Future-conditioned Unsupervised Pretraining for Decision Transformer
Recent research in offline reinforcement learning (RL) has demonstrated ...
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05/23/2023
Skill-Based Few-Shot Selection for In-Context Learning
In-Context learning is the paradigm that adapts large language models to...
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05/22/2023
Causal-Based Supervision of Attention in Graph Neural Network: A Better and Simpler Choice towards Powerful Attention
In recent years, attention mechanisms have demonstrated significant pote...
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05/08/2023
How Do In-Context Examples Affect Compositional Generalization?
Compositional generalization–understanding unseen combinations of seen p...
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03/08/2023
Aberration-Aware Depth-from-Focus
Computer vision methods for depth estimation usually use simple camera m...
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03/04/2023
The DKU Post-Challenge Audio-Visual Wake Word Spotting System for the 2021 MISP Challenge: Deep Analysis
This paper further explores our previous wake word spotting system ranke...
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02/23/2023
Does Deep Learning Learn to Abstract? A Systematic Probing Framework
Abstraction is a desirable capability for deep learning models, which me...
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02/16/2023
Robust Mid-Pass Filtering Graph Convolutional Networks
Graph convolutional networks (GCNs) are currently the most promising par...
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02/13/2023
Homophily-oriented Heterogeneous Graph Rewiring
With the rapid development of the World Wide Web (WWW), heterogeneous gr...
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02/09/2023
Joint Acoustic Echo Cancellation and Speech Dereverberation Using Kalman filters
This paper proposes a joint acoustic echo cancellation (AEC) and speech ...
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02/05/2023
Sample Dropout: A Simple yet Effective Variance Reduction Technique in Deep Policy Optimization
Recent success in Deep Reinforcement Learning (DRL) methods has shown th...
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02/02/2023
Curriculum Learning for ab initio Deep Learned Refractive Optics
Deep lens optimization has recently emerged as a new paradigm for design...
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01/20/2023
Revisiting Estimation Bias in Policy Gradients for Deep Reinforcement Learning
We revisit the estimation bias in policy gradients for the discounted ep...
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12/04/2022
RLogist: Fast Observation Strategy on Whole-slide Images with Deep Reinforcement Learning
Whole-slide images (WSI) in computational pathology have high resolution...
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11/28/2022
DGI: Easy and Efficient Inference for GNNs
While many systems have been developed to train Graph Neural Networks (G...
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10/22/2022
DIGMN: Dynamic Intent Guided Meta Network for Differentiated User Engagement Forecasting in Online Professional Social Platforms
User engagement prediction plays a critical role for designing interacti...
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09/21/2022
Revisiting Discrete Soft Actor-Critic
We study the adaption of soft actor-critic (SAC) from continuous action ...
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09/17/2022
Make Heterophily Graphs Better Fit GNN: A Graph Rewiring Approach
Graph Neural Networks (GNNs) are popular machine learning methods for mo...
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09/01/2022
Dynamics-Adaptive Continual Reinforcement Learning via Progressive Contextualization
A key challenge of continual reinforcement learning (CRL) in dynamic env...
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08/25/2022
Learning Rate Perturbation: A Generic Plugin of Learning Rate Schedule towards Flatter Local Minima
Learning rate is one of the most important hyper-parameters that has a s...
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08/15/2022
MM-GNN: Mix-Moment Graph Neural Network towards Modeling Neighborhood Feature Distribution
Graph Neural Networks (GNNs) have shown expressive performance on graph ...
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06/06/2022
On the Advance of Making Language Models Better Reasoners
Large language models such as GPT-3 and PaLM have shown remarkable perfo...
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05/30/2022
Personalized Acoustic Echo Cancellation for Full-duplex Communications
Deep neural networks (DNNs) have shown promising results for acoustic ec...
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04/11/2022
Small Footprint Multi-channel ConvMixer for Keyword Spotting with Centroid Based Awareness
It is critical for a keyword spotting model to have a small footprint as...
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04/07/2022
Sparse Optical Flow-Based Line Feature Tracking
In this paper we propose a novel sparse optical flow (SOF)-based line fe...
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03/07/2022
Input-Tuning: Adapting Unfamiliar Inputs to Frozen Pretrained Models
Recently the prompt-tuning paradigm has attracted significant attention....
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02/25/2022
HTGN-BTW: Heterogeneous Temporal Graph Network with Bi-Time-Window Training Strategy for Temporal Link Prediction
With the development of temporal networks such as E-commerce networks an...
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02/17/2022
MineRL Diamond 2021 Competition: Overview, Results, and Lessons Learned
Reinforcement learning competitions advance the field by providing appro...
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02/14/2022
Multi-Task Deep Residual Echo Suppression with Echo-aware Loss
This paper introduces the NWPU Team's entry to the ICASSP 2022 AEC Chall...
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01/27/2022
Reasoning Like Program Executors
Reasoning over natural language is a long-standing goal for the research...
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01/15/2022
ConvMixer: Feature Interactive Convolution with Curriculum Learning for Small Footprint and Noisy Far-field Keyword Spotting
Building efficient architecture in neural speech processing is paramount...
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12/07/2021
JueWu-MC: Playing Minecraft with Sample-efficient Hierarchical Reinforcement Learning
Learning rational behaviors in open-world games like Minecraft remains t...
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12/05/2021
Snapshot HDR Video Construction Using Coded Mask
This paper study the reconstruction of High Dynamic Range (HDR) video fr...
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12/02/2021
Source Free Unsupervised Graph Domain Adaptation
Graph Neural Networks (GNNs) have achieved great success on a variety of...
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11/30/2021
Neuron with Steady Response Leads to Better Generalization
Regularization can mitigate the generalization gap between training and ...
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10/29/2021
GBK-GNN: Gated Bi-Kernel Graph Neural Networks for Modeling Both Homophily and Heterophily
Graph Neural Networks (GNNs) are widely used on a variety of graph-based...
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10/16/2021
Controllable Multichannel Speech Dereverberation based on Deep Neural Networks
Neural network based speech dereverberation has achieved promising resul...
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10/16/2021
NN3A: Neural Network supported Acoustic Echo Cancellation, Noise Suppression and Automatic Gain Control for Real-Time Communications
Acoustic echo cancellation (AEC), noise suppression (NS) and automatic g...
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09/28/2021
Compound eye inspired flat lensless imaging with spatially-coded Voronoi-Fresnel phase
Lensless cameras are a class of imaging devices that shrink the physical...
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09/16/2021
Neural Étendue Expander for Ultra-Wide-Angle High-Fidelity Holographic Display
Holographic displays can generate light fields by dynamically modulating...
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08/14/2021
Neuron Campaign for Initialization Guided by Information Bottleneck Theory
Initialization plays a critical role in the training of deep neural netw...
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06/30/2021
Learnable Reconstruction Methods from RGB Images to Hyperspectral Imaging: A Survey
Hyperspectral imaging enables versatile applications due to its competen...
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06/29/2021
Active-set algorithms based statistical inference for shape-restricted generalized additive Cox regression models
Recently the shape-restricted inference has gained popularity in statist...
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06/19/2021
Boosting Offline Reinforcement Learning with Residual Generative Modeling
Offline reinforcement learning (RL) tries to learn the near-optimal poli...
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05/13/2021
MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks
In Goal-oriented Reinforcement learning, relabeling the raw goals in pas...
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04/09/2021