Papers
Tue 3 Aug 2021
116 papers
- The Devil is in the GAN: Backdoor Attacks and Defenses in Deep Generative ModelsLLM safety and security → Backdoor and data poisoning attacks
- Evo-ViT: Slow-Fast Token Evolution for Dynamic Vision TransformerEfficient LLM inference and serving → Token pruning and merging for ViTs
- DarkGAN: Exploiting Knowledge Distillation for Comprehensible Audio Synthesis with GANsKnowledge distillation → Speech and audio distillation
- Computationally-Efficient Climate Predictions using Multi-Fidelity Surrogate Modelling
- Super Neurons
- Semi-Supervised Learning for Channel Charting-Aided IoT Localization in Millimeter Wave Networks
- SINGA-Easy: An Easy-to-Use Framework for MultiModal Analysis
- Generalization in Multimodal Language Learning from Simulation
- OncoNet: Weakly Supervised Siamese Network to automate cancer treatment response assessment between longitudinal FDG PET/CT examinations
- On the Exploitability of Audio Machine Learning Pipelines to Surreptitious Adversarial Examples
- DuCN: Dual-children Network for Medical Diagnosis and Similar Case Recommendation towards COVID-19
- Weakly Supervised Foreground Learning for Weakly Supervised Localization and Detection
- Armour: Generalizable Compact Self-Attention for Vision Transformers
- Solo-learn: A Library of Self-supervised Methods for Visual Representation Learning
- Nonconvex Factorization and Manifold Formulations are Almost Equivalent in Low-rank Matrix Optimization
- An Empirical Evaluation of End-to-End Polyphonic Optical Music Recognition
- Normalized Augmented Inverse Probability Weighting with Neural Network Predictions
- Q-Pain: A Question Answering Dataset to Measure Social Bias in Pain Management
- HTTP2vec: Embedding of HTTP Requests for Detection of Anomalous Traffic
- Factor Representation and Decision Making in Stock Markets Using Deep Reinforcement Learning
- Approximating the Manifold Structure of Attributed Incentive Salience from Large Scale Behavioural Data. A Representation Learning Approach Based on Artificial Neural Networks
- Improving Counterfactual Generation for Fair Hate Speech Detection
- Improving Music Performance Assessment with Contrastive Learning
- Categorical EHR Imputation with Generative Adversarial Nets
- Predicting Zip Code-Level Vaccine Hesitancy in US Metropolitan Areas Using Machine Learning Models on Public Tweets
- Vision Transformer with Progressive Sampling
- Exploiting BERT For Multimodal Target Sentiment Classification Through Input Space Translation
- Uniform Sampling over Episode Difficulty
- Grounding Representation Similarity with Statistical Testing
- Graph Neural Networks With Lifting-based Adaptive Graph Wavelets
- Image Augmentation Using a Task Guided Generative Adversarial Network for Age Estimation on Brain MRI
- Comparison of modern open-source visual SLAM approaches
- Automatic classification of eclipsing binary stars using deep learning methods
- Triggering Failures: Out-Of-Distribution detection by learning from local adversarial attacks in Semantic Segmentation
- From augmented microscopy to the topological transformer: a new approach in cell image analysis for Alzheimer's research
- Large-Scale Differentially Private BERT
- Del-Net: A Single-Stage Network for Mobile Camera ISP
- Domain Generalization via Gradient Surgery
- Generalized Source-free Domain Adaptation
- Scheduling Aerial Vehicles in an Urban Air Mobility Scheme
- The application of artificial intelligence in software engineering: a review challenging conventional wisdom
- ExBERT: An External Knowledge Enhanced BERT for Natural Language Inference
- Numerical Solution of Stiff ODEs with Physics-Informed RPNNs
- SPG-VTON: Semantic Prediction Guidance for Multi-pose Virtual Try-on
- Classification of Discrete Dynamical Systems Based on Transients
- Deep GAN-Based Cross-Spectral Cross-Resolution Iris Recognition
- Domain Adaptor Networks for Hyperspectral Image Recognition
- Inference via Sparse Coding in a Hierarchical Vision Model
- EVA: An Open-Domain Chinese Dialogue System with Large-Scale Generative Pre-Training
- Controlled Deep Reinforcement Learning for Optimized Slice Placement
- Geometry of Linear Convolutional Networks
- Neural Calibration for Scalable Beamforming in FDD Massive MIMO with Implicit Channel Estimation
- Double-Dot Network for Antipodal Grasp Detection
- Non-local Graph Convolutional Network for joint Activity Recognition and Motion Prediction
- Two New Stenosis Detection Methods of Coronary Angiograms
- SphereFace2: Binary Classification is All You Need for Deep Face Recognition
- Spatial Analysis of Physical Reservoir Computers
- Boosting Weakly Supervised Object Detection via Learning Bounding Box Adjusters
- Cross-Modal Analysis of Human Detection for Robotics: An Industrial Case Study
- Fast Estimation Method for the Stability of Ensemble Feature Selectors
- Research Challenges and Progress in Robotic Grasping and Manipulation Competitions
- Wavelet-Based Network For High Dynamic Range Imaging
- Noise-Resistant Deep Metric Learning with Probabilistic Instance Filtering
- sarcasm detection and quantification in arabic tweets
- HyperColor: A HyperNetwork Approach for Synthesizing Auto-colored 3D Models for Game Scenes Population
- GalaxAI: Machine learning toolbox for interpretable analysis of spacecraft telemetry data
- Region-wise Loss for Biomedical Image Segmentation
- Nonperturbative renormalization for the neural network-QFT correspondence
- AI Based Waste classifier with Thermo-Rapid Composting
- Electrical peak demand forecasting- A review
- MixMicrobleedNet: segmentation of cerebral microbleeds using nnU-Net
- Are Missing Links Predictable? An Inferential Benchmark for Knowledge Graph Completion
- On the descriptive power of LiDAR intensity images for segment-based loop closing in 3-D SLAM
- Dynamic communication topologies for distributed heuristics in energy system optimization algorithms
- A Dynamic Head Importance Computation Mechanism for Neural Machine Translation
- Classifying action correctness in physical rehabilitation exercises
- How to Evaluate Your Dialogue Models: A Review of Approaches
- Robust Compressed Sensing MRI with Deep Generative Priors
- Cycle-Consistent Inverse GAN for Text-to-Image Synthesis
- Towards a Better Understanding Human Reading Comprehension with Brain Signals
- Accelerating the Learning of TAMER with Counterfactual Explanations
- Adaptive Affinity Loss and Erroneous Pseudo-Label Refinement for Weakly Supervised Semantic Segmentation
- I3CL:Intra- and Inter-Instance Collaborative Learning for Arbitrary-shaped Scene Text Detection
- Where do Models go Wrong? Parameter-Space Saliency Maps for Explainability
- Predicting Popularity of Images Over 30 Days
- Deep Reinforcement Learning Based Networked Control with Network Delays for Signal Temporal Logic Specifications
- RAIN: Reinforced Hybrid Attention Inference Network for Motion Forecasting
- Solving Fashion Recommendation -- The Farfetch Challenge
- Learning Causal Models from Conditional Moment Restrictions by Importance Weighting
- Skeleton Split Strategies for Spatial Temporal Graph Convolution Networks
- Visualizing Data using GTSNE
- Dynamic Feature Regularized Loss for Weakly Supervised Semantic Segmentation
- MBDP: A Model-based Approach to Achieve both Robustness and Sample Efficiency via Double Dropout Planning
- Linking Sap Flow Measurements with Earth Observations
- AdvRush: Searching for Adversarially Robust Neural Architectures
- Deep Rival Penalized Competitive Learning for Low-resolution Face Recognition
- Toward Spatially Unbiased Generative Models
- A Study of Multilingual End-to-End Speech Recognition for Kazakh, Russian, and English
- Dialogue Summarization with Supporting Utterance Flow Modeling and Fact Regularization
- Process Mining Model to Predict Mortality in Paralytic Ileus Patients
All 116
- More but Correct: Generating Diversified and Entity-revised Medical Response
- Memorize, Factorize, or be Na"ive: Learning Optimal Feature Interaction Methods for CTR Prediction
- Consolidating Kinematic Models to Promote Coordinated Mobile Manipulations
- SABER: Data-Driven Motion Planner for Autonomously Navigating Heterogeneous Robots
- M2H2: A Multimodal Multiparty Hindi Dataset For Humor Recognition in Conversations
- Efficient Task Planning for Mobile Manipulation: a Virtual Kinematic Chain Perspective
- Desk Organization: Effect of Multimodal Inputs on Spatial Relational Learning
- Your fairness may vary: Pretrained language model fairness in toxic text classification
- CanvasVAE: Learning to Generate Vector Graphic Documents
- AcousticFusion: Fusing Sound Source Localization to Visual SLAM in Dynamic Environments
- The Performance Evaluation of Attention-Based Neural ASR under Mixed Speech Input
- AGAR a microbial colony dataset for deep learning detection
- Taking Cognition Seriously: A generalised physics of cognition
- Rapid Elastic Architecture Search under Specialized Classes and Resource Constraints
- OVERT: An Algorithm for Safety Verification of Neural Network Control Policies for Nonlinear Systems
- Variational Actor-Critic Algorithms