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research
Attacking Visual Language Grounding with Adversarial Examples: A Case Study on Neural Image Captioning
Attacking Visual Language Grounding with Adversarial Examples: A Case Study on Neural Image Captioning
Robustness
Natural Language Processing
Attacking Visual Language Grounding with Adversarial Examples: A Case Study on Neural Image Captioning.
Attacking Visual Language Grounding with Adversarial Examples: A Case Study on Neural Image Captioning.
AutoZOOM: Autoencoder-based Zeroth Order Optimization Method for Attacking Black-box Neural Networks
AutoZOOM: Autoencoder-based Zeroth Order Optimization Method for Attacking Black-box Neural Networks
Robustness
Optimization
signSGD via Zeroth-Order Oracle
signSGD via Zeroth-Order Oracle
Optimization
Robustness
Adversarial T-shirt! Evading Person Detectors in A Physical World
Adversarial T-shirt! Evading Person Detectors in A Physical World
ECCV
Computer Vision
Sign-OPT: Defending the hard-label black-box cyber attack
Sign-OPT: Defending the hard-label black-box cyber attack
Cybersecurity
Adversarial Machine Learning
Practical Detection of Trojan Neural Networks: Data-Limited and Data-Free Cases
Practical Detection of Trojan Neural Networks: Data-Limited and Data-Free Cases
ECCV
Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approach
Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approach
Robustness
PROVEN: Verifying Robustness of Neural Networks with a Probabilistic Approach
PROVEN: Verifying Robustness of Neural Networks with a Probabilistic Approach
ICML
Why Lottery Ticket Wins? A Theoretical Perspective of Sample Complexity on Sparse Neural Networks
Why Lottery Ticket Wins? A Theoretical Perspective of Sample Complexity on Sparse Neural Networks
NeurIPS
Adversarial Attack Generation Empowered by Min-Max Optimization
Adversarial Attack Generation Empowered by Min-Max Optimization
NeurIPS
Is There a Trade-Off Between Fairness and Accuracy? A Perspective Using Mismatched Hypothesis Testing
Is There a Trade-Off Between Fairness and Accuracy? A Perspective Using Mismatched Hypothesis Testing
ICML
Machine Learning
Fast Learning of Graph Neural Networks with Guaranteed Generalizability: One-hidden-layer Case
Fast Learning of Graph Neural Networks with Guaranteed Generalizability: One-hidden-layer Case
ICML
Machine Learning
When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?
When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?
NeurIPS
On Fast Adversarial Robustness Adaptation in Model-Agnostic Meta-Learning
On Fast Adversarial Robustness Adaptation in Model-Agnostic Meta-Learning
ICLR
Machine Learning
Structured Adversarial Attack: Towards General Implementation and Better Interpretability
Structured Adversarial Attack: Towards General Implementation and Better Interpretability
Robustness
Explainability
Self-Progressing Robust Training
Self-Progressing Robust Training
AAAI
Machine Learning
CNN-Cert: An Efficient Framework for Certifying Robustness of Convolutional Neural Networks
CNN-Cert: An Efficient Framework for Certifying Robustness of Convolutional Neural Networks
Robustness
Neural Network Robustness Certification with General Activation Functions
Neural Network Robustness Certification with General Activation Functions
Robustness
Deep Learning
On the Design of Black-box Adversarial Examples by Leveraging Gradient-free Optimization and Operator Splitting Method
On the Design of Black-box Adversarial Examples by Leveraging Gradient-free Optimization and Operator Splitting Method
Optimization
Robustness
Higher-Order Certification For Randomized Smoothing
Higher-Order Certification For Randomized Smoothing
Optimization
Hidden Cost of Randomized Smoothing
Hidden Cost of Randomized Smoothing
AISTATS
Machine Learning
Zeroth-Order Stochastic Variance Reduction for Nonconvex Optimization
Zeroth-Order Stochastic Variance Reduction for Nonconvex Optimization
Optimization
Deep Learning
MCUNet: Tiny Deep Learning on IoT Devices
MCUNet: Tiny Deep Learning on IoT Devices
Deep Learning
Efficient AI
Training Stronger Baselines for Learning to Optimize
Training Stronger Baselines for Learning to Optimize
Optimization
NASTransfer: Analyzing Architecture Transferability in Large Scale Neural Architecture Search
NASTransfer: Analyzing Architecture Transferability in Large Scale Neural Architecture Search
AAAI
Computer Vision
Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled Data
Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled Data
NeurIPS
Long Live the Lottery: The Existence of Winning Tickets in Lifelong Learning
Long Live the Lottery: The Existence of Winning Tickets in Lifelong Learning
ICLR
An Image Enhancing Pattern-based Sparsity for Real-time Inference on Mobile Devices
An Image Enhancing Pattern-based Sparsity for Real-time Inference on Mobile Devices
ECCV
Computer Vision
Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport
Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport
AAAI
Machine Learning
Graph Universal Adversarial Attacks: A Few Bad Actors Ruin Graph Learning Models
Graph Universal Adversarial Attacks: A Few Bad Actors Ruin Graph Learning Models
Machine Learning
Social Networks
STAR: A Benchmark for Situated Reasoning in Real-World Videos
STAR: A Benchmark for Situated Reasoning in Real-World Videos
NeurIPS
On the Equivalence between Neural Network and Support Vector Machine
On the Equivalence between Neural Network and Support Vector Machine
NeurIPS
CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks
CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks
NeurIPS
Memory-efficient Patch-based Inference for Tiny Deep Learning
Memory-efficient Patch-based Inference for Tiny Deep Learning
NeurIPS
Dynamic Visual Reasoning by Learning Differentiable Physics Models from Video and Language
Dynamic Visual Reasoning by Learning Differentiable Physics Models from Video and Language
NeurIPS
Everything at Once – Multi-modal Fusion Transformer for Video Retrieval
Everything at Once – Multi-modal Fusion Transformer for Video Retrieval
CVPR
RT3D: Achieving Real-Time Execution of 3D Convolutional Neural Networks on Mobile Devices
RT3D: Achieving Real-Time Execution of 3D Convolutional Neural Networks on Mobile Devices
AAAI
Machine Learning
Foley Music: Learning to Generate Music from Videos
Foley Music: Learning to Generate Music from Videos
ECCV
Computer Vision
Big-Little-Video-Net: Work smarter, not harder, for video understanding
Big-Little-Video-Net: Work smarter, not harder, for video understanding
Computer Vision
Deep Analysis of CNN-based Spatio-temporal Representations for Action Recognition
Deep Analysis of CNN-based Spatio-temporal Representations for Action Recognition
CVPR
Computer Vision
ZO-AdaMM: Derivative-free optimization for black-box problems
ZO-AdaMM: Derivative-free optimization for black-box problems
Optimization
NeurIPS
Constrained Generation of Semantically Valid Graphs via Regularizing Variational Autoencoders
Constrained Generation of Semantically Valid Graphs via Regularizing Variational Autoencoders
Generative Models
Graph Deep Learning
Scalable Graph Learning for Anti-Money Laundering: A First Look
Scalable Graph Learning for Anti-Money Laundering: A First Look
AI in Finance
Graph Deep Learning
On the Convergence of A Class of Adam-Type Algorithms for Non-Convex Optimization
On the Convergence of A Class of Adam-Type Algorithms for Non-Convex Optimization
Optimization
Anti-Money Laundering in Bitcoin: Experimenting with Graph Convolutional Networks for Financial Forensics
Anti-Money Laundering in Bitcoin: Experimenting with Graph Convolutional Networks for Financial Forensics
AI in Finance
Graph Deep Learning
Robust Overfitting may be mitigated by properly learned smoothening
Robust Overfitting may be mitigated by properly learned smoothening
ICLR
Self-supervised Moving Vehicle Tracking with Stereo Sound
Self-supervised Moving Vehicle Tracking with Stereo Sound
Multimodal Learning
Computer Vision
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs
Graph Deep Learning
AAAI
Deep Symbolic Superoptimization Without Human Knowledge
Deep Symbolic Superoptimization Without Human Knowledge
Neuro-Symbolic AI
Optimization
The Lottery Ticket Hypothesis for the Pre-trained BERT Networks
The Lottery Ticket Hypothesis for the Pre-trained BERT Networks
Efficient AI
Debiased Contrastive Learning
Debiased Contrastive Learning
NeurIPS
RSPNet: Relative Speed Perception for Unsupervised Video Representation Learning.
RSPNet: Relative Speed Perception for Unsupervised Video Representation Learning.
AAAI
Computer Vision
Grounding Physical Concepts of Objects and Events Through Dynamic Visual Reasoning
Grounding Physical Concepts of Objects and Events Through Dynamic Visual Reasoning
ICLR
Computer Vision
The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models
The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models
CVPR
Computer Vision
A content-aware attack generator for AI cybersecurity
A content-aware attack generator for AI cybersecurity
Adversarial Machine Learning
Cybersecurity
Embedding Compression with Isotropic Iterative Quantization
Embedding Compression with Isotropic Iterative Quantization
Natural Language Processing
Online AI planning with graph neural networks and adaptive scheduling
Online AI planning with graph neural networks and adaptive scheduling
Automated Planning
Graph Deep Learning
Learning to learn with distributional signatures for text data
Learning to learn with distributional signatures for text data
Natural Language Processing
Transfer Learning
Fast and efficient black-box testing for AI cybersecurity
Fast and efficient black-box testing for AI cybersecurity
Cybersecurity
Robustness