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09/19/2023
Learning Adaptive Safety for Multi-Agent Systems
Ensuring safety in dynamic multi-agent systems is challenging due to lim...
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09/18/2023
Reducing Adversarial Training Cost with Gradient Approximation
Deep learning models have achieved state-of-the-art performances in vari...
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08/31/2023
Improving Lens Flare Removal with General Purpose Pipeline and Multiple Light Sources Recovery
When taking images against strong light sources, the resulting images of...
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08/01/2023
SF-IDS: An Imbalanced Semi-Supervised Learning Framework for Fine-grained Intrusion Detection
Deep learning-based fine-grained network intrusion detection systems (NI...
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07/09/2023
A Lightweight Approach for Network Intrusion Detection based on Self-Knowledge Distillation
Network Intrusion Detection (NID) works as a kernel technology for the s...
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06/11/2023
Multi-Agent Reinforcement Learning Guided by Signal Temporal Logic Specifications
There has been growing interest in deep reinforcement learning (DRL) alg...
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05/25/2023
Definition and Detection of Defects in NFT Smart Contracts
Recently, the birth of non-fungible tokens (NFTs) has attracted great at...
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05/24/2023
Towards Understanding Crypto Money Laundering in Web3 Through the Lenses of Ethereum Heists
With the overall momentum of the blockchain industry, crypto-based crime...
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05/08/2023
Building Neural Networks on Matrix Manifolds: A Gyrovector Space Approach
Matrix manifolds, such as manifolds of Symmetric Positive Definite (SPD)...
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04/27/2023
SLoMo: A General System for Legged Robot Motion Imitation from Casual Videos
We present SLoMo: a first-of-its-kind framework for transferring skilled...
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04/01/2023
Safe Perception-Based Control under Stochastic Sensor Uncertainty using Conformal Prediction
We consider perception-based control using state estimates that are obta...
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03/22/2023
BiCro: Noisy Correspondence Rectification for Multi-modality Data via Bi-directional Cross-modal Similarity Consistency
As one of the most fundamental techniques in multimodal learning, cross-...
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03/01/2023
MEGA-DAgger: Imitation Learning with Multiple Imperfect Experts
Imitation learning has been widely applied to various autonomous systems...
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02/28/2023
Rethink Long-tailed Recognition with Vision Transforms
In the real world, data tends to follow long-tailed distributions w.r.t....
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01/09/2023
Γ-convergent LDG method for large bending deformations of bilayer plates
Bilayer plates are slender structures made of two thin layers of differe...
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12/11/2022
CPMLHO:Hyperparameter Tuning via Cutting Plane and Mixed-Level Optimization
The hyperparameter optimization of neural network can be expressed as a ...
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12/05/2022
Learning Imbalanced Data with Vision Transformers
The real-world data tends to be heavily imbalanced and severely skew the...
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12/01/2022
Towards Explainability in Modular Autonomous Vehicle Software
Safety-critical Autonomous Systems require trustworthy and transparent d...
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10/24/2022
Social norms of fairness with reputation-based role assignment in the dictator game
A vast body of experiments share the view that social norms are major fa...
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10/06/2022
Reduced Membrane Model for Liquid Crystal Polymer Networks: Asymptotics and Computation
We examine a reduced membrane model of liquid crystal polymer networks (...
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09/29/2022
A Benchmark Comparison of Imitation Learning-based Control Policies for Autonomous Racing
Autonomous racing with scaled race cars has gained increasing attention ...
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09/27/2022
Towards Regression-Free Neural Networks for Diverse Compute Platforms
With the shift towards on-device deep learning, ensuring a consistent be...
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09/20/2022
Differentiable Safe Controller Design through Control Barrier Functions
Learning-based controllers, such as neural network (NN) controllers, can...
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09/19/2022
Toward Understanding Privileged Features Distillation in Learning-to-Rank
In learning-to-rank problems, a privileged feature is one that is availa...
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09/16/2022
Cerberus: Low-Drift Visual-Inertial-Leg Odometry For Agile Locomotion
We present an open-source Visual-Inertial-Leg Odometry (VILO) state esti...
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09/10/2022
Convergent FEM for a membrane model of liquid crystal polymer networks
We design a finite element method (FEM) for a membrane model of liquid c...
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07/27/2022
Gaia: Graph Neural Network with Temporal Shift aware Attention for Gross Merchandise Value Forecast in E-commerce
E-commerce has gone a long way in empowering merchants through the inter...
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05/19/2022
Dataset Pruning: Reducing Training Data by Examining Generalization Influence
The great success of deep learning heavily relies on increasingly larger...
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05/12/2022
Entity-aware and Motion-aware Transformers for Language-driven Action Localization in Videos
Language-driven action localization in videos is a challenging task that...
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04/30/2022
Reliable Label Correction is a Good Booster When Learning with Extremely Noisy Labels
Learning with noisy labels has aroused much research interest since data...
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03/03/2022
CAFE: Learning to Condense Dataset by Aligning Features
Dataset condensation aims at reducing the network training effort throug...
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03/01/2022
An Effective Graph Learning based Approach for Temporal Link Prediction: The First Place of WSDM Cup 2022
Temporal link prediction, as one of the most crucial work in temporal gr...
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02/24/2022
Sample Efficiency of Data Augmentation Consistency Regularization
Data augmentation is popular in the training of large neural networks; c...
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12/13/2021
Semantically Contrastive Learning for Low-light Image Enhancement
Low-light image enhancement (LLE) remains challenging due to the unfavor...
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12/02/2021
PartImageNet: A Large, High-Quality Dataset of Parts
A part-based object understanding facilitates efficient compositional le...
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10/09/2021
Does Preprocessing Help Training Over-parameterized Neural Networks?
Deep neural networks have achieved impressive performance in many areas....
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10/08/2021
Speeding up Deep Model Training by Sharing Weights and Then Unsharing
We propose a simple and efficient approach for training the BERT model. ...
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10/06/2021
Objects in Semantic Topology
A more realistic object detection paradigm, Open-World Object Detection,...
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07/06/2021
Semi-TCL: Semi-Supervised Track Contrastive Representation Learning
Online tracking of multiple objects in videos requires strong capacity o...
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06/25/2021
Numerical analysis of the LDG method for large deformations of prestrained plates
A local discontinuous Galerkin (LDG) method for approximating large defo...
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05/13/2021
Compatibility-aware Heterogeneous Visual Search
We tackle the problem of visual search under resource constraints. Exist...
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04/07/2021
Optimal Control for Structurally Sparse Systems using Graphical Inference
Dynamical systems with a distributed yet interconnected structure, like ...
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03/25/2021
Gamma-convergent projection-free finite element methods for nematic liquid crystals: The Ericksen model
The Ericksen model for nematic liquid crystals couples a director field ...
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03/13/2021
An Efficient Multitask Neural Network for Face Alignment, Head Pose Estimation and Face Tracking
While convolutional neural networks (CNNs) have significantly boosted th...
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03/03/2021
Combinatorial Bandits without Total Order for Arms
We consider the combinatorial bandits problem, where at each time step, ...
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03/03/2021
Linear Bandit Algorithms with Sublinear Time Complexity
We propose to accelerate existing linear bandit algorithms to achieve pe...
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02/25/2021
CelebA-Spoof Challenge 2020 on Face Anti-Spoofing: Methods and Results
As facial interaction systems are prevalently deployed, security and rel...
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02/18/2021
DeeperForensics Challenge 2020 on Real-World Face Forgery Detection: Methods and Results
This paper reports methods and results in the DeeperForensics Challenge ...
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02/08/2021
SLUA: A Super Lightweight Unsupervised Word Alignment Model via Cross-Lingual Contrastive Learning
Word alignment is essential for the down-streaming cross-lingual languag...
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01/16/2021