Papers
Mon 15 Nov 2021
167 papers
- On the Importance of Difficulty Calibration in Membership Inference AttacksLLM safety and security → Membership inference attacks
- Exploiting Action Impact Regularity and Exogenous State Variables for Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
- Solving Inverse Problems in Medical Imaging with Score-Based Generative ModelsDiffusion models → Medical imaging and segmentation
- Triggerless Backdoor Attack for NLP Tasks with Clean LabelsLLM safety and security → Backdoor and data poisoning attacks
- iBOT: Image BERT Pre-Training with Online TokenizerKnowledge distillation → Multimodal distillation
- A Teacher-Student Markov Decision Process-based Framework for Online Correctional LearningKnowledge distillation → On-policy and self-distillation for LLMs
- Versatile Inverse Reinforcement Learning via Cumulative RewardsOffline RL and imitation learning from data → Inverse reinforcement learning
- Property Inference Attacks Against GANsLLM safety and security → Membership inference attacks
- Scalable Variational Quantum Circuits for Autoencoder-based Drug Discovery
- An Embarrassingly Pragmatic Introduction to Vision-based Autonomous Robots
- Error Diagnosis of Deep Monocular Depth Estimation Models
- Spatio-Temporal Split Learning for Autonomous Aerial Surveillance using Urban Air Mobility (UAM) Networks
- Scaling Law for Recommendation Models: Towards General-purpose User Representations
- Residual fourier neural operator for thermochemical curing of composites
- Attention based end to end Speech Recognition for Voice Search in Hindi and English
- Comparative Study of Speech Analysis Methods to Predict Parkinson's Disease
- Casting graph isomorphism as a point set registration problem using a simplex embedding and sampling
- Oil and Gas Pipeline Monitoring during COVID-19 Pandemic via Unmanned Aerial Vehicle
- 2nd Place Solution to Facebook AI Image Similarity Challenge Matching Track
- Meta-Auto-Decoder for Solving Parametric Partial Differential Equations
- Interpretability Aware Model Training to Improve Robustness against Out-of-Distribution Magnetic Resonance Images in Alzheimer's Disease Classification
- Inverting brain grey matter models with likelihood-free inference: a tool for trustable cytoarchitecture measurements
- Machine Learning for Genomic Data
- Human-error-potential Estimation based on Wearable Biometric Sensors
- Patent Data for Engineering Design: A Critical Review and Future Directions
- Reducing the Long Tail Losses in Scientific Emulations with Active Learning
- ELBD: Efficient score algorithm for feature selection on latent variables of VAE
- Bayesian inference of the climbing grade scale
- Joint Unsupervised and Supervised Training for Multilingual ASR
- Exploring Story Generation with Multi-task Objectives in Variational Autoencoders
- Neural networks with linear threshold activations: structure and algorithms
- Physics-informed neural networks via stochastic Hamiltonian dynamics learning
- The Partially Observable History Process
- VisualEnv: visual Gym environments with Blender
- TimeVAE: A Variational Auto-Encoder for Multivariate Time Series Generation
- LIMEcraft: Handcrafted superpixel selection and inspection for Visual eXplanations
- Assessing gender bias in medical and scientific masked language models with StereoSet
- Learning Graph Neural Networks for Multivariate Time Series Anomaly Detection
- Learning Robust Scheduling with Search and Attention
- Two-dimensional Deep Regression for Early Yield Prediction of Winter Wheat
- ModelLight: Model-Based Meta-Reinforcement Learning for Traffic Signal Control
- Synthetic Unknown Class Learning for Learning Unknowns
- Margin-Independent Online Multiclass Learning via Convex Geometry
- Abductive Inference and C. S. Peirce: 150 Years Later
- Common Language for Goal-Oriented Semantic Communications: A Curriculum Learning Framework
- Beyond Mono to Binaural: Generating Binaural Audio from Mono Audio with Depth and Cross Modal Attention
- Fast and Credible Likelihood-Free Cosmology with Truncated Marginal Neural Ratio Estimation
- Tensor network to learn the wavefunction of data
- Advantage of Machine Learning over Maximum Likelihood in Limited-Angle Low-Photon X-Ray Tomography
- Modular Networks Prevent Catastrophic Interference in Model-Based Multi-Task Reinforcement Learning
- SPLDExtraTrees: Robust machine learning approach for predicting kinase inhibitor resistance
- Disparities in Dermatology AI: Assessments Using Diverse Clinical Images
- Natural Gradient Variational Inference with Gaussian Mixture Models
- Adversarial Skill Chaining for Long-Horizon Robot Manipulation via Terminal State Regularization
- Annotators with Attitudes: How Annotator Beliefs And Identities Bias Toxic Language Detection
- CoLLIE: Continual Learning of Language Grounding from Language-Image Embeddings
- LiT: Zero-Shot Transfer with Locked-image text Tuning
- Fast First-Order Methods for Monotone Strongly DR-Submodular Maximization
- Nonprehensile Riemannian Motion Predictive Control
- Metric-based multimodal meta-learning for human movement identification via footstep recognition
- Semantically Grounded Object Matching for Robust Robotic Scene Rearrangement
- Towards Optimal Strategies for Training Self-Driving Perception Models in Simulation
- Evaluating Treatment Prioritization Rules via Rank-Weighted Average Treatment Effects
- Deep Network Approximation in Terms of Intrinsic Parameters
- Short-Term Power Prediction for Renewable Energy Using Hybrid Graph Convolutional Network and Long Short-Term Memory Approach
- QK Iteration: A Self-Supervised Representation Learning Algorithm for Image Similarity
- Stochastic Gradient Line Bayesian Optimization for Efficient Noise-Robust Optimization of Parameterized Quantum Circuits
- Occluded Video Instance Segmentation: Dataset and ICCV 2021 Challenge
- Large-Scale Hyperspectral Image Clustering Using Contrastive Learning
- Fully Linear Graph Convolutional Networks for Semi-Supervised Learning and Clustering
- Distribution Compression in Near-linear Time
- Incorporating Question Answering-Based Signals into Abstractive Summarization via Salient Span Selection
- Target Layer Regularization for Continual Learning Using Cramer-Wold Generator
- Best of Both Worlds: Practical and Theoretically Optimal Submodular Maximization in Parallel
- On the Tradeoff between Energy, Precision, and Accuracy in Federated Quantized Neural Networks
- Mask-guided Spectral-wise Transformer for Efficient Hyperspectral Image Reconstruction
- Learning to Execute: Efficient Learning of Universal Plan-Conditioned Policies in Robotics
- IIITT@Dravidian-CodeMix-FIRE2021: Transliterate or translate? Sentiment analysis of code-mixed text in Dravidian languages
- Deep Semantic Manipulation of Facial Videos
- Volumetric Parameterization of the Placenta to a Flattened Template
- Category-orthogonal object features guide information processing in recurrent neural networks trained for object categorization
- On Sparse High-Dimensional Graphical Model Learning For Dependent Time Series
- Choose Your Programming Copilot: A Comparison of the Program Synthesis Performance of GitHub Copilot and Genetic Programming
- Tracking People with 3D Representations
- Mitigating Divergence of Latent Factors via Dual Ascent for Low Latency Event Prediction Models
- Evaluating Metrics for Bias in Word Embeddings
- Transfer Learning Capabilities of Untrained Neural Networks for MIMO CSI Recreation
- Machine Learning for CSI Recreation Based on Prior Knowledge
- Multi-Task Classification of Sewer Pipe Defects and Properties using a Cross-Task Graph Neural Network Decoder
- Deep Hedging: Learning to Remove the Drift under Trading Frictions with Minimal Equivalent Near-Martingale Measures
- Learnable Locality-Sensitive Hashing for Video Anomaly Detection
- Multi-View Motion Synthesis via Applying Rotated Dual-Pixel Blur Kernels
- Conditional Linear Regression for Heterogeneous Covariances
- Three-body renormalization group limit cycles based on unsupervised feature learning
- Testing the Generalization of Neural Language Models for COVID-19 Misinformation Detection
- Sentiment Analysis of Fashion Related Posts in Social Media
- Spectral learning of multivariate extremes
- The Choice of Knowledge Base in Automated Claim Checking
- Analysis of Data Augmentation Methods for Low-Resource Maltese ASR
- Independent SE(3)-Equivariant Models for End-to-End Rigid Protein Docking
All 167
- Spiking CapsNet: A Spiking Neural Network With A Biologically Plausible Routing Rule Between Capsules
- Learning Representations for Pixel-based Control: What Matters and Why?
- D^2Conv3D: Dynamic Dilated Convolutions for Object Segmentation in Videos
- Real-time Emotion and Gender Classification using Ensemble CNN
- Progress in Self-Certified Neural Networks
- Continual Learning via Local Module Composition
- Zero-Shot Learning in Named-Entity Recognition with External Knowledge
- Stacked BNAS: Rethinking Broad Convolutional Neural Network for Neural Architecture Search
- Interactive Medical Image Segmentation with Self-Adaptive Confidence Calibration
- Simultaneously Achieving Sublinear Regret and Constraint Violations for Online Convex Optimization with Time-varying Constraints
- Measuring Uncertainty in Translation Quality Evaluation (TQE)
- Joint Synthesis of Safety Certificate and Safe Control Policy using Constrained Reinforcement Learning
- AutoGMap: Learning to Map Large-scale Sparse Graphs on Memristive Crossbars
- Reachability analysis of neural networks using mixed monotonicity
- Quadratic speedup of global search using a biased crossover of two good solutions
- Contrastive Representation Learning with Trainable Augmentation Channel
- FastFlow: Unsupervised Anomaly Detection and Localization via 2D Normalizing Flows
- A Data Quarantine Model to Secure Data in Edge Computing
- NeuralPDE: Modelling Dynamical Systems from Data
- Fast Axiomatic Attribution for Neural Networks
- Calculating Question Similarity is Enough: A New Method for KBQA Tasks
- The Possibilistic Horn Non-Clausal Knowledge Bases
- Multimodal Generalized Zero Shot Learning for Gleason Grading using Self-Supervised Learning
- AnimeCeleb: Large-Scale Animation CelebHeads Dataset for Head Reenactment
- Pseudo-domains in imaging data improve prediction of future disease status in multi-center studies
- CoReS: Compatible Representations via Stationarity
- AI in Human-computer Gaming: Techniques, Challenges and Opportunities
- On the validation of pansharpening methods
- Attention Mechanisms in Computer Vision: A Survey
- Fingerprint Presentation Attack Detection by Channel-wise Feature Denoising
- Optimism and Delays in Episodic Reinforcement Learning
- Generate plane quad mesh with neural networks and tree search
- Rationale production to support clinical decision-making
- Counterfactual Temporal Point Processes
- Spectral Transform Forms Scalable Transformer
- FakeTransformer: Exposing Face Forgery From Spatial-Temporal Representation Modeled By Facial Pixel Variations
- DNN gradient lossless compression: Can GenNorm be the answer?
- DFC: Deep Feature Consistency for Robust Point Cloud Registration
- Weakly-Supervised Dense Action Anticipation
- Say What? Collaborative Pop Lyric Generation Using Multitask Transfer Learning
- Optimizing Unlicensed Coexistence Network Performance Through Data Learning
- Can Graph Neural Networks Learn to Solve MaxSAT Problem?
- Adding more data does not always help: A study in medical conversation summarization with PEGASUS
- High-Quality Real Time Facial Capture Based on Single Camera
- Confucius, Cyberpunk and Mr. Science: Comparing AI ethics between China and the EU
- Improving Prosody for Unseen Texts in Speech Synthesis by Utilizing Linguistic Information and Noisy Data
- Unsupervised Lightweight Single Object Tracking with UHP-SOT++
- Searching for TrioNet: Combining Convolution with Local and Global Self-Attention
- Randomized Classifiers vs Human Decision-Makers: Trustworthy AI May Have to Act Randomly and Society Seems to Accept This
- T-AutoML: Automated Machine Learning for Lesion Segmentation using Transformers in 3D Medical Imaging
- A Probabilistic Hard Attention Model For Sequentially Observed Scenes
- Automated scholarly paper review: Concepts, technologies, and challenges
- Object Propagation via Inter-Frame Attentions for Temporally Stable Video Instance Segmentation
- Automatic Analysis of Linguistic Features in Journal Articles of Different Academic Impacts with Feature Engineering Techniques
- A Comparative Study on Basic Elements of Deep Learning Models for Spatial-Temporal Traffic Forecasting
- Scalable Intervention Target Estimation in Linear Models
- Public Policymaking for International Agricultural Trade using Association Rules and Ensemble Machine Learning
- A Survey on AI Assurance
- Measuring Outcomes in Healthcare Economics using Artificial Intelligence: with Application to Resource Management
- Reinforcement Learning of Self Enhancing Camera Image and Signal Processing
- Distribution-Free Model for Community Detection
- Federated Learning for Internet of Things: Applications, Challenges, and Opportunities
- Finding Optimal Tangent Points for Reducing Distortions of Hard-label Attacks
- Deep-Learning Inversion Method for the Interpretation of Noisy Logging-While-Drilling Resistivity Measurements
- Deep Learning based Urban Vehicle Trajectory Analytics
- Power Allocation for Wireless Federated Learning using Graph Neural Networks
- Physics in the Machine: Integrating Physical Knowledge in Autonomous Phase-Mapping