Papers
Mon 8 Feb 2021
157 papers
- Generating Fake Cyber Threat Intelligence Using Transformer-Based ModelsLLM safety and security → Prompt injection and agent security
- Quantifying and Mitigating Privacy Risks of Contrastive LearningLLM safety and security → Machine unlearning
- Towards Designing Computer Vision-based Explainable-AI Solution: A Use Case of Livestock Mart Industry
- An Enhanced Corpus for Arabic Newspapers Comments
- Hybrid quantum convolutional neural networks model for COVID-19 prediction using chest X-Ray images
- Deep Iteration Assisted by Multi-level Obey-pixel Network Discriminator (DIAMOND) for Medical Image Recovery
- ParaVS: A Simple, Fast, Efficient and Flexible Graph Neural Network Framework for Structure-Based Virtual Screening
- On Computation Complexity of True Proof Number Search
- Introduction to Machine Learning for the Sciences
- A Histogram Thresholding Improvement to Mask R-CNN for Scalable Segmentation of New and Old Rural Buildings
- Quantum machine learning with adaptive linear optics
- Tracking e-cigarette warning label compliance on Instagram with deep learning
- Semantic Segmentation with Labeling Uncertainty and Class Imbalance
- A Ranking Approach to Fair Classification
- Feature Engineering for Scalable Application-Level Post-Silicon Debugging
- Synthesizing Skeletal Motion and Physiological Signals as a Function of a Virtual Human's Actions and Emotions
- Last-iterate Convergence of Decentralized Optimistic Gradient Descent/Ascent in Infinite-horizon Competitive Markov Games
- Learning from Shader Program Traces
- (AF)2-S3Net: Attentive Feature Fusion with Adaptive Feature Selection for Sparse Semantic Segmentation Network
- Playing the Blame Game with Robots
- Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentation
- Multi-Objective Learning to Predict Pareto Fronts Using Hypervolume Maximization
- A study of text representations in Hate Speech Detection
- A* Search Without Expansions: Learning Heuristic Functions with Deep Q-Networks
- Leaf Image-based Plant Disease Identification using Color and Texture Features
- Oops I Took A Gradient: Scalable Sampling for Discrete Distributions
- A Hybrid Task-Oriented Dialog System with Domain and Task Adaptive Pretraining
- VS-Quant: Per-vector Scaled Quantization for Accurate Low-Precision Neural Network Inference
- Wake Word Detection with Streaming Transformers
- Adaptive Quantization of Model Updates for Communication-Efficient Federated Learning
- Learning-augmented count-min sketches via Bayesian nonparametrics
- Detecting Fake News Using Machine Learning : A Systematic Literature Review
- Common Spatial Generative Adversarial Networks based EEG Data Augmentation for Cross-Subject Brain-Computer Interface
- Functional Space Analysis of Local GAN Convergence
- Improving memory banks for unsupervised learning with large mini-batch, consistency and hard negative mining
- Community Detection: Exact Recovery in Weighted Graphs
- Improved Brain Age Estimation with Slice-based Set Networks
- Colorization Transformer
- RECAST: Enabling User Recourse and Interpretability of Toxicity Detection Models with Interactive Visualization
- Arbitrary Conditional Distributions with Energy
- The Multi-Temporal Urban Development SpaceNet Dataset
- Analysis of the Effectiveness of Face-Coverings on the Death Ratio of COVID-19 Using Machine Learning
- Contrasting Centralized and Decentralized Critics in Multi-Agent Reinforcement Learning
- The Optimality of Polynomial Regression for Agnostic Learning under Gaussian Marginals
- Rapid Classification of Glaucomatous Fundus Images
- How to Stay Curious while Avoiding Noisy TVs using Aleatoric Uncertainty Estimation
- SGD in the Large: Average-case Analysis, Asymptotics, and Stepsize Criticality
- Learning with Density Matrices and Random Features
- End-to-end Generative Zero-shot Learning via Few-shot Learning
- TransReID: Transformer-based Object Re-Identification
- Adversarially Guided Actor-Critic
- Partition-based formulations for mixed-integer optimization of trained ReLU neural networks
- Counting and Locating High-Density Objects Using Convolutional Neural Network
- Efficient Data-Driven Optimization with Noisy Data
- Protecting Intellectual Property of Generative Adversarial Networks from Ambiguity Attack
- Unlocking Pixels for Reinforcement Learning via Implicit Attention
- Graph Traversal with Tensor Functionals: A Meta-Algorithm for Scalable Learning
- The Limits of Computation in Solving Equity Trade-Offs in Machine Learning and Justice System Risk Assessment
- Learned Camera Gain and Exposure Control for Improved Visual Feature Detection and Matching
- Soccer Event Detection Using Deep Learning
- An Unbiased Estimator of the Full-sky CMB Angular Power Spectrum at Large Scales using Neural Networks
- Discovering a set of policies for the worst case reward
- Monte Carlo Rollout Policy for Recommendation Systems with Dynamic User Behavior
- Derivation of the Backpropagation Algorithm Based on Derivative Amplification Coefficients
- Long-time simulations with high fidelity on quantum hardware
- The Singleton Fallacy: Why Current Critiques of Language Models Miss the Point
- Learning Optimal Strategies for Temporal Tasks in Stochastic Games
- TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation
- Eliminating Sharp Minima from SGD with Truncated Heavy-tailed Noise
- RL-Scope: Cross-Stack Profiling for Deep Reinforcement Learning Workloads
- A Systematic Comparison Study on Hyperparameter Optimisation of Graph Neural Networks for Molecular Property Prediction
- Communication-efficient k-Means for Edge-based Machine Learning
- Constrained Ensemble Langevin Monte Carlo
- Curse of Dimensionality for TSK Fuzzy Neural Networks: Explanation and Solutions
- Enabling Binary Neural Network Training on the Edge
- Physics-aware, deep probabilistic modeling of multiscale dynamics in the Small Data regime
- Overhead MNIST: A Benchmark Satellite Dataset
- Generalised correlated batched bandits via the ARC algorithm with application to dynamic pricing
- HINT: Hierarchical Interaction Network for Trial Outcome Prediction Leveraging Web Data
- Neurogenetic Programming Framework for Explainable Reinforcement Learning
- Learning the exchange-correlation functional from nature with fully differentiable density functional theory
- Mask-GVAE: Blind Denoising Graphs via Partition
- Concepts, Properties and an Approach for Compositional Generalization
- Multi-level Distance Regularization for Deep Metric Learning
- Grid-to-Graph: Flexible Spatial Relational Inductive Biases for Reinforcement Learning
- Counterfactual Contextual Multi-Armed Bandit: a Real-World Application to Diagnose Apple Diseases
- Contrastive Embeddings for Neural Architectures
- Segmentasi Citra Menggunakan Metode Watershed Transform Berdasarkan Image Enhancement Dalam Mendeteksi Embrio Telur
- MetaTune: Meta-Learning Based Cost Model for Fast and Efficient Auto-tuning Frameworks
- Plotting time: On the usage of CNNs for time series classification
- Improving Artificial Teachers by Considering How People Learn and Forget
- Directed particle swarm optimization with Gaussian-process-based function forecasting
- Learning Task-Oriented Communication for Edge Inference: An Information Bottleneck Approach
- Provable Model-based Nonlinear Bandit and Reinforcement Learning: Shelve Optimism, Embrace Virtual Curvature
- Efficient Certified Defenses Against Patch Attacks on Image Classifiers
- EigenGame Unloaded: When playing games is better than optimizing
- Exploiting epistemic uncertainty of the deep learning models to generate adversarial samples
- Model Rectification via Unknown Unknowns Extraction from Deployment Samples
- Switching Variational Auto-Encoders for Noise-Agnostic Audio-visual Speech Enhancement
- APS: A Large-Scale Multi-Modal Indoor Camera Positioning System
All 157
- Points2Vec: Unsupervised Object-level Feature Learning from Point Clouds
- Near-optimal Representation Learning for Linear Bandits and Linear RL
- Bias Out-of-the-Box: An Empirical Analysis of Intersectional Occupational Biases in Popular Generative Language Models
- Enhancing Human-Machine Teaming for Medical Prognosis Through Neural Ordinary Differential Equations (NODEs)
- The FairCeptron: A Framework for Measuring Human Perceptions of Algorithmic Fairness
- Generate and Revise: Reinforcement Learning in Neural Poetry
- Clinical Outcome Prediction from Admission Notes using Self-Supervised Knowledge Integration
- Dynamic Sasvi: Strong Safe Screening for Norm-Regularized Least Squares
- An extended Knowledge Compilation Map for Conditional Preference Statements-based and Generalized Additive Utilities-based Languages
- Effects of Layer Freezing on Transferring a Speech Recognition System to Under-resourced Languages
- STAN: Spatio-Temporal Attention Network for Next Location Recommendation
- Online Clustering-based Multi-Camera Vehicle Tracking in Scenarios with overlapping FOVs
- VeeAlign: Multifaceted Context Representation using Dual Attention for Ontology Alignment
- Fast and Reliable Probabilistic Face Embeddings in the Wild
- Learning Curve Theory
- In-Order Chart-Based Constituent Parsing
- Enhance Information Propagation for Graph Neural Network by Heterogeneous Aggregations
- An Update on a Progressively Expanded Database for Automated Lung Sound Analysis
- OV2SLAM : A Fully Online and Versatile Visual SLAM for Real-Time Applications
- Improving filling level classification with adversarial training
- HumanACGAN: conditional generative adversarial network with human-based auxiliary classifier and its evaluation in phoneme perception
- A Constant Approximation Algorithm for Sequential Random-Order No-Substitution k-Median Clustering
- Towards Accurate RGB-D Saliency Detection with Complementary Attention and Adaptive Integration
- LightSpeech: Lightweight and Fast Text to Speech with Neural Architecture Search
- In-game Residential Home Planning via Visual Context-aware Global Relation Learning
- The Autonomous Siemens Tram
- A Hybrid Bandit Model with Visual Priors for Creative Ranking in Display Advertising
- Non-linear frequency warping using constant-Q transformation for speech emotion recognition
- IDOL: Inertial Deep Orientation-Estimation and Localization
- Quality Estimation without Human-labeled Data
- Analysis of Latent-Space Motion for Collaborative Intelligence
- An Efficient Framework for Zero-Shot Sketch-Based Image Retrieval
- Point-set Distances for Learning Representations of 3D Point Clouds
- Nature-Inspired Optimization Algorithms: Research Direction and Survey
- Learning N:M Fine-grained Structured Sparse Neural Networks From Scratch
- MirrorAlign: A Super Lightweight Unsupervised Word Alignment Model via Cross-Lingual Contrastive Learning
- Discovering conservation laws from trajectories via machine learning
- Meta Discovery: Learning to Discover Novel Classes given Very Limited Data
- Active learning for distributionally robust level-set estimation
- Identifying the Origin of Finger Vein Samples Using Texture Descriptors
- DeEPCA: Decentralized Exact PCA with Linear Convergence Rate
- Ising Model Selection Using ℓ1-Regularized Linear Regression: A Statistical Mechanics Analysis
- Deep Learning Based Walking Tasks Classification in Older Adults using fNIRS
- DEFT: Distilling Entangled Factors by Preventing Information Diffusion
- Multisource AI Scorecard Table for System Evaluation
- One-shot Face Reenactment Using Appearance Adaptive Normalization
- Partial Is Better Than All: Revisiting Fine-tuning Strategy for Few-shot Learning
- Subjective and Objective Visual Quality Assessment of Textured 3D Meshes
- Grab the Reins of Crowds: Estimating the Effects of Crowd Movement Guidance Using Causal Inference
- Learning to Generate Fair Clusters from Demonstrations
- Reconstruction of Sparse Signals under Gaussian Noise and Saturation
- Novel Deep neural networks for solving Bayesian statistical inverse
- STS-GAN: Can We Synthesize Solid Texture with High Fidelity from Arbitrary 2D Exemplar?
- Coordinating Momenta for Cross-silo Federated Learning
- Doubly Residual Neural Decoder: Towards Low-Complexity High-Performance Channel Decoding
- Extracting the Auditory Attention in a Dual-Speaker Scenario from EEG using a Joint CNN-LSTM Model
- End-to-End Multi-Channel Transformer for Speech Recognition