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06/16/2023
Dynamic Size Message Scheduling for Multi-Agent Communication under Limited Bandwidth
Communication plays a vital role in multi-agent systems, fostering colla...
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06/15/2023
KoLA: Carefully Benchmarking World Knowledge of Large Language Models
The unprecedented performance of large language models (LLMs) necessitat...
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05/05/2023
Random Smoothing Regularization in Kernel Gradient Descent Learning
Random smoothing data augmentation is a unique form of regularization th...
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05/02/2023
Transfer Visual Prompt Generator across LLMs
While developing a new vision-language LLM (VL-LLM) by pre-training on t...
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02/24/2023
Inducing Neural Collapse in Deep Long-tailed Learning
Although deep neural networks achieve tremendous success on various clas...
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12/28/2022
Exploring Vision Transformers as Diffusion Learners
Score-based diffusion models have captured widespread attention and fund...
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12/17/2022
3D Point Cloud Pre-training with Knowledge Distillation from 2D Images
The recent success of pre-trained 2D vision models is mostly attributabl...
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12/06/2022
Beyond Object Recognition: A New Benchmark towards Object Concept Learning
Understanding objects is a central building block of artificial intellig...
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11/22/2022
Visually Grounded Commonsense Knowledge Acquisition
Large-scale commonsense knowledge bases empower a broad range of AI appl...
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11/11/2022
StrokeGAN+: Few-Shot Semi-Supervised Chinese Font Generation with Stroke Encoding
The generation of Chinese fonts has a wide range of applications. The cu...
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10/13/2022
Demystifying Self-supervised Trojan Attacks
As an emerging machine learning paradigm, self-supervised learning (SSL)...
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08/13/2022
Confidence Matters: Inspecting Backdoors in Deep Neural Networks via Distribution Transfer
Backdoor attacks have been shown to be a serious security threat against...
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07/06/2022
Unsupervised Domain Adaptation through Shape Modeling for Medical Image Segmentation
Shape information is a strong and valuable prior in segmenting organs in...
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07/06/2022
DCT-Net: Domain-Calibrated Translation for Portrait Stylization
This paper introduces DCT-Net, a novel image translation architecture fo...
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06/16/2022
On Private Online Convex Optimization: Optimal Algorithms in ℓ_p-Geometry and High Dimensional Contextual Bandits
Differentially private (DP) stochastic convex optimization (SCO) is ubiq...
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05/25/2022
Scheduling to Optimize Sojourn Time of Successful Jobs
Deep neural networks training jobs and other iterative computations freq...
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05/23/2022
PEVL: Position-enhanced Pre-training and Prompt Tuning for Vision-language Models
Vision-language pre-training (VLP) has shown impressive performance on a...
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05/23/2022
Prompt Tuning for Discriminative Pre-trained Language Models
Recent works have shown promising results of prompt tuning in stimulatin...
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04/25/2022
Gate-Level Side-Channel Leakage Assessment with Architecture Correlation Analysis
While side-channel leakage is traditionally evaluated from a fabricated ...
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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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03/22/2022
Fine-Grained Scene Graph Generation with Data Transfer
Scene graph generation (SGG) aims to extract (subject, predicate, object...
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03/09/2022
Structure-Aware Flow Generation for Human Body Reshaping
Body reshaping is an important procedure in portrait photo retouching. D...
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02/14/2022
Optimizing Random Mixup with Gaussian Differential Privacy
Differentially private data release receives rising attention in machine...
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12/14/2021
Generalization Bounds for Stochastic Gradient Langevin Dynamics: A Unified View via Information Leakage Analysis
Recently, generalization bounds of the non-convex empirical risk minimiz...
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11/22/2021
Backdoor Attack through Frequency Domain
Backdoor attacks have been shown to be a serious threat against deep lea...
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11/17/2021
Early DSE and Automatic Generation of Coarse Grained Merged Accelerators
Post-Moore's law area-constrained systems rely on accelerators to delive...
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09/24/2021
CPT: Colorful Prompt Tuning for Pre-trained Vision-Language Models
Pre-Trained Vision-Language Models (VL-PTMs) have shown promising capabi...
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08/27/2021
Dimming Down LED: An Open-source Threshold Implementation on Light Encryption Device (LED) Block Cipher
Lightweight block ciphers have been widely used in applications such as ...
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07/14/2021
A Note on Learning Rare Events in Molecular Dynamics using LSTM and Transformer
Recurrent neural networks for language models like long short-term memor...
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07/04/2021
Real-time Detection and Adaptive Mitigation of Power-based Side-Channel Leakage in SoC
Power-based side-channel is a serious security threat to the System on C...
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06/25/2021
Programmable RO (PRO): A Multipurpose Countermeasure against Side-channel and Fault Injection Attack
Side-channel and fault injection attacks reveal secret information by mo...
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06/11/2021
Turn the Combination Lock: Learnable Textual Backdoor Attacks via Word Substitution
Recent studies show that neural natural language processing (NLP) models...
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06/08/2021
Efficient Estimation For The Joint Model of Survival and Longitudinal Data
In survival studies it is important to record the values of key longitud...
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05/31/2021
Image-to-Video Generation via 3D Facial Dynamics
We present a versatile model, FaceAnime, for various video generation ta...
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03/30/2021
Controlling the False Discovery Rate in Structural Sparsity: Split Knockoffs
Controlling the False Discovery Rate (FDR) in a variable selection proce...
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03/29/2021
Visual Distant Supervision for Scene Graph Generation
Scene graph generation aims to identify objects and their relations in i...
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02/22/2021
UPRec: User-Aware Pre-training for Recommender Systems
Existing sequential recommendation methods rely on large amounts of trai...
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01/01/2021
On Stochastic Variance Reduced Gradient Method for Semidefinite Optimization
The low-rank stochastic semidefinite optimization has attracted rising a...
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12/16/2020
StrokeGAN: Reducing Mode Collapse in Chinese Font Generation via Stroke Encoding
The generation of stylish Chinese fonts is an important problem involved...
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12/15/2020
An exact solution in Markov decision process with multiplicative rewards as a general framework
We develop an exactly solvable framework of Markov decision process with...
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11/08/2020
Denoising Relation Extraction from Document-level Distant Supervision
Distant supervision (DS) has been widely used to generate auto-labeled d...
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09/19/2020
Knowledge Transfer via Pre-training for Recommendation: A Review and Prospect
Recommender systems aim to provide item recommendations for users, and a...
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08/17/2020
Robust Autoencoder GAN for Cryo-EM Image Denoising
The cryo-electron microscopy (Cryo-EM) becomes popular for macromolecula...
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08/06/2020
Multi-source Heterogeneous Domain Adaptation with Conditional Weighting Adversarial Network
Heterogeneous domain adaptation (HDA) tackles the learning of cross-doma...
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07/17/2020
Leveraging both Lesion Features and Procedural Bias in Neuroimaging: An Dual-Task Split dynamics of inverse scale space
The prediction and selection of lesion features are two important tasks ...
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07/15/2020
How to trust unlabeled data? Instance Credibility Inference for Few-Shot Learning
Deep learning based models have excelled in many computer vision task an...
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07/04/2020
DessiLBI: Exploring Structural Sparsity of Deep Networks via Differential Inclusion Paths
Over-parameterization is ubiquitous nowadays in training neural networks...
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06/24/2020
Crossmodal Language Grounding in an Embodied Neurocognitive Model
Human infants are able to acquire natural language seemingly easily at a...
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06/20/2020
Video Playback Rate Perception for Self-supervisedSpatio-Temporal Representation Learning
In self-supervised spatio-temporal representation learning, the temporal...
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05/01/2020