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09/18/2023
Progressive Text-to-Image Diffusion with Soft Latent Direction
In spite of the rapidly evolving landscape of text-to-image generation, ...
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09/12/2023
RT-LM: Uncertainty-Aware Resource Management for Real-Time Inference of Language Models
Recent advancements in language models (LMs) have gained substantial att...
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08/19/2023
DiffusionTrack: Diffusion Model For Multi-Object Tracking
Multi-object tracking (MOT) is a challenging vision task that aims to de...
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08/17/2023
Dynamic Neural Network is All You Need: Understanding the Robustness of Dynamic Mechanisms in Neural Networks
Deep Neural Networks (DNNs) have been used to solve different day-to-day...
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07/23/2023
Testing Hateful Speeches against Policies
In the recent years, many software systems have adopted AI techniques, e...
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07/22/2023
MIMONet: Multi-Input Multi-Output On-Device Deep Learning
Future intelligent robots are expected to process multiple inputs simult...
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07/11/2023
DyCL: Dynamic Neural Network Compilation Via Program Rewriting and Graph Optimization
DL compiler's primary function is to translate DNN programs written in h...
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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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06/28/2023
DoseDiff: Distance-aware Diffusion Model for Dose Prediction in Radiotherapy
Treatment planning is a critical component of the radiotherapy workflow,...
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06/16/2023
C2F2NeUS: Cascade Cost Frustum Fusion for High Fidelity and Generalizable Neural Surface Reconstruction
There is an emerging effort to combine the two popular technical paths, ...
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06/01/2023
SlothSpeech: Denial-of-service Attack Against Speech Recognition Models
Deep Learning (DL) models have been popular nowadays to execute differen...
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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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05/20/2023
Dynamic Transformers Provide a False Sense of Efficiency
Despite much success in natural language processing (NLP), pre-trained l...
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05/08/2023
HACK: Learning a Parametric Head and Neck Model for High-fidelity Animation
Significant advancements have been made in developing parametric models ...
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05/06/2023
Bézout Subresultants for Univariate Polynomials in General Basis
Subresultant is a powerful tool for developing various algorithms in com...
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04/19/2023
ASM: Adaptive Skinning Model for High-Quality 3D Face Modeling
The research fields of parametric face models and 3D face reconstruction...
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04/10/2023
Differentially Private Numerical Vector Analyses in the Local and Shuffle Model
Numerical vector aggregation plays a crucial role in privacy-sensitive a...
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04/07/2023
Hierarchical Disentanglement-Alignment Network for Robust SAR Vehicle Recognition
Due to Synthetic Aperture Radar (SAR) imaging characteristics, SAR vehic...
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04/03/2023
NeMF: Inverse Volume Rendering with Neural Microflake Field
Recovering the physical attributes of an object's appearance from its im...
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04/03/2023
Discovering and Explaining the Non-Causality of Deep Learning in SAR ATR
In recent years, deep learning has been widely used in SAR ATR and achie...
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03/30/2023
Learning Human-to-Robot Handovers from Point Clouds
We propose the first framework to learn control policies for vision-base...
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02/10/2023
Dual Memory Units with Uncertainty Regulation for Weakly Supervised Video Anomaly Detection
Learning discriminative features for effectively separating abnormal eve...
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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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01/26/2023
Compact Transformer Tracker with Correlative Masked Modeling
Transformer framework has been showing superior performances in visual o...
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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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11/27/2022
Dynamic Feature Pruning and Consolidation for Occluded Person Re-Identification
Occluded person re-identification (ReID) is a challenging problem due to...
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10/24/2022
Learning Robust Real-World Dexterous Grasping Policies via Implicit Shape Augmentation
Dexterous robotic hands have the capability to interact with a wide vari...
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10/21/2022
Energy Efficiency of Massive Random Access in MIMO Quasi-Static Rayleigh Fading Channels with Finite Blocklength
This paper considers the massive random access problem in MIMO quasi-sta...
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10/14/2022
TestAug: A Framework for Augmenting Capability-based NLP Tests
The recently proposed capability-based NLP testing allows model develope...
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10/10/2022
DeepPerform: An Efficient Approach for Performance Testing of Resource-Constrained Neural Networks
Today, an increasing number of Adaptive Deep Neural Networks (AdNNs) are...
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10/08/2022
Detaching and Boosting: Dual Engine for Scale-Invariant Self-Supervised Monocular Depth Estimation
Monocular depth estimation (MDE) in the self-supervised scenario has eme...
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10/07/2022
NMTSloth: Understanding and Testing Efficiency Degradation of Neural Machine Translation Systems
Neural Machine Translation (NMT) systems have received much recent atten...
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09/28/2022
DexTransfer: Real World Multi-fingered Dexterous Grasping with Minimal Human Demonstrations
Teaching a multi-fingered dexterous robot to grasp objects in the real w...
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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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09/01/2022
Dynamics-Adaptive Continual Reinforcement Learning via Progressive Contextualization
A key challenge of continual reinforcement learning (CRL) in dynamic env...
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07/27/2022
Fine-grained Private Knowledge Distillation
Knowledge distillation has emerged as a scalable and effective way for p...
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07/20/2022
MLMSA: Multi-Label Multi-Side-Channel-Information enabled Deep Learning Attacks on APUF Variants
To improve the modeling resilience of silicon strong physical unclonable...
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06/29/2022
Neural Motion Fields: Encoding Grasp Trajectories as Implicit Value Functions
The pipeline of current robotic pick-and-place methods typically consist...
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05/20/2022
Learning to Reverse DNNs from AI Programs Automatically
With the privatization deployment of DNNs on edge devices, the security ...
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05/19/2022
HandoverSim: A Simulation Framework and Benchmark for Human-to-Robot Object Handovers
We introduce a new simulation benchmark "HandoverSim" for human-to-robot...
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05/08/2022
Transformer Tracking with Cyclic Shifting Window Attention
Transformer architecture has been showing its great strength in visual o...
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04/21/2022
Detecting Topology Attacks against Graph Neural Networks
Graph neural networks (GNNs) have been widely used in many real applicat...
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04/19/2022
CorrGAN: Input Transformation Technique Against Natural Corruptions
Because of the increasing accuracy of Deep Neural Networks (DNNs) on dif...
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03/31/2022
Model Predictive Control for Fluid Human-to-Robot Handovers
Human-robot handover is a fundamental yet challenging task in human-robo...
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03/29/2022
NICGSlowDown: Evaluating the Efficiency Robustness of Neural Image Caption Generation Models
Neural image caption generation (NICG) models have received massive atte...
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03/08/2022
NeReF: Neural Refractive Field for Fluid Surface Reconstruction and Implicit Representation
Existing neural reconstruction schemes such as Neural Radiance Field (Ne...
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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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02/17/2022
Multi-Modal Fusion in Contact-Rich Precise Tasks via Hierarchical Policy Learning
Combined visual and force feedback play an essential role in contact-ric...
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02/12/2022