Papers
Thu 24 Feb 2022
184 papers
- Bounding Membership InferenceLLM safety and security → Membership inference attacks
- Is Neuro-Symbolic AI Meeting its Promise in Natural Language Processing? A Structured ReviewLLM reasoning → Reasoning benchmarks and evaluation
- Measuring CLEVRness: Blackbox testing of Visual Reasoning ModelsLLM reasoning → Multimodal reasoning
- All You Need Is Supervised Learning: From Imitation Learning to Meta-RL With Upside Down RLOffline RL and imitation learning from data → Inverse reinforcement learning
- Novel Metric based on Walsh Coefficients for measuring problem difficulty in Estimation of Distribution Algorithms
- Leveraging Unimodal Self-Supervised Learning for Multimodal Audio-Visual Speech Recognition
- Speech segmentation using multilevel hybrid filters
- ADPCM with nonlinear prediction
- Applying multi-angled parallelism to Spanish topographical maps
- A comparative study of several parameterizations for speaker recognition
- Physics-Informed Neural Networks for Quantum Eigenvalue Problems
- Deep Learning based Prediction of MSI using MMR Markers in Colorectal Cancer
- SUTD-PRCM Dataset and Neural Architecture Search Approach for Complex Metasurface Design
- Unfolding AIS transmission behavior for vessel movement modeling on noisy data leveraging machine learning
- N-dimensional nonlinear prediction with MLP
- On the relevance of bandwidth extension for speaker identification
- A new face database simultaneously acquired in visible, near infrared and thermal spectrum
- Towards Unsupervised Domain Adaptation via Domain-Transformer
- Learning the nonlinear dynamics of soft mechanical metamaterials with graph networks
- Handwriting Biometrics: Applications and Future Trends in e-Security and e-Health
- Ask2Mask: Guided Data Selection for Masked Speech Modeling
- The effect of fatigue on the performance of online writer recognition
- Online handwriting, signature and touch dynamics: tasks and potential applications in the field of security and health
- Thompson Sampling with Unrestricted Delays
- BagPipe: Accelerating Deep Recommendation Model Training
- Efficient Video Segmentation Models with Per-frame Inference
- Analyzing Human Observer Ability in Morphing Attack Detection -- Where Do We Stand?
- Standard Deviation-Based Quantization for Deep Neural Networks
- Optimal channel selection with discrete QCQP
- Microgrid Optimal Energy Scheduling Considering Neural Network based Battery Degradation
- Construction of Large-Scale Misinformation Labeled Datasets from Social Media Discourse using Label Refinement
- Fourier-Based Augmentations for Improved Robustness and Uncertainty Calibration
- TrimBERT: Tailoring BERT for Trade-offs
- Exploiting Problem Structure in Deep Declarative Networks: Two Case Studies
- Learning Transferable Reward for Query Object Localization with Policy Adaptation
- The rise of the lottery heroes: why zero-shot pruning is hard
- Finite-Sum Coupled Compositional Stochastic Optimization: Theory and Applications
- HeRo 2.0: A Low-Cost Robot for Swarm Robotics Research
- Provable Stochastic Optimization for Global Contrastive Learning: Small Batch Does Not Harm Performance
- TwistSLAM: Constrained SLAM in Dynamic Environment
- Highly-Efficient Binary Neural Networks for Visual Place Recognition
- Learning POD of Complex Dynamics Using Heavy-ball Neural ODEs
- On Monocular Depth Estimation and Uncertainty Quantification using Classification Approaches for Regression
- Instantaneous Physiological Estimation using Video Transformers
- Estimators of Entropy and Information via Inference in Probabilistic Models
- StyleCLIPDraw: Coupling Content and Style in Text-to-Drawing Translation
- RescueNet: A High Resolution UAV Semantic Segmentation Benchmark Dataset for Natural Disaster Damage Assessment
- Physics Informed RNN-DCT Networks for Time-Dependent Partial Differential Equations
- DoCoGen: Domain Counterfactual Generation for Low Resource Domain Adaptation
- Bayesian Deep Learning for Graphs
- Time Efficient Training of Progressive Generative Adversarial Network using Depthwise Separable Convolution and Super Resolution Generative Adversarial Network
- Cutting Some Slack for SGD with Adaptive Polyak Stepsizes
- Towards Better Meta-Initialization with Task Augmentation for Kindergarten-aged Speech Recognition
- Evolving-to-Learn Reinforcement Learning Tasks with Spiking Neural Networks
- Privacy-preserving machine learning with tensor networks
- AutoIP: A United Framework to Integrate Physics into Gaussian Processes
- Oolong: Investigating What Makes Transfer Learning Hard with Controlled Studies
- Retriever: Learning Content-Style Representation as a Token-Level Bipartite Graph
- Capturing Failures of Large Language Models via Human Cognitive Biases
- Embedded Ensembles: Infinite Width Limit and Operating Regimes
- Factorizer: A Scalable Interpretable Approach to Context Modeling for Medical Image Segmentation
- Toward More Meaningful Resources for Lower-resourced Languages
- Learning Stochastic Dynamics with Statistics-Informed Neural Network
- Solving optimization problems with Blackwell approachability
- On the influence of stochastic roundoff errors and their bias on the convergence of the gradient descent method with low-precision floating-point computation
- Partitioned Variational Inference: A Framework for Probabilistic Federated Learning
- Matching Papers and Reviewers at Large Conferences
- Self-organising Urban Traffic control on micro-level using Reinforcement Learning and Agent-based Modelling
- A Perceptual Measure for Evaluating the Resynthesis of Automatic Music Transcriptions
- Neural reality of argument structure constructions
- Policy Learning for Optimal Individualized Dose Intervals
- Sample Efficiency of Data Augmentation Consistency Regularization
- Probing BERT's priors with serial reproduction chains
- An optimal scheduled learning rate for a randomized Kaczmarz algorithm
- Debugging Differential Privacy: A Case Study for Privacy Auditing
- Self-Distilled StyleGAN: Towards Generation from Internet Photos
- BERTVision -- A Parameter-Efficient Approach for Question Answering
- Situational Graphs for Robot Navigation in Structured Indoor Environments
- Sequential asset ranking in nonstationary time series
- Large-scale Stochastic Optimization of NDCG Surrogates for Deep Learning with Provable Convergence
- FreeSOLO: Learning to Segment Objects without Annotations
- Quantum Deep Reinforcement Learning for Robot Navigation Tasks
- Clarifying MCMC-based training of modern EBMs : Contrastive Divergence versus Maximum Likelihood
- Collaborative Training of Heterogeneous Reinforcement Learning Agents in Environments with Sparse Rewards: What and When to Share?
- Overcoming a Theoretical Limitation of Self-Attention
- Closing the Gap between Single-User and Multi-User VoiceFilter-Lite
- Attention Enables Zero Approximation Error
- Transformers in Medical Image Analysis: A Review
- Attentive Temporal Pooling for Conformer-based Streaming Language Identification in Long-form Speech
- Self-Attention for Incomplete Utterance Rewriting
- An NLP Solution to Foster the Use of Information in Electronic Health Records for Efficiency in Decision-Making in Hospital Care
- Towards Effective and Robust Neural Trojan Defenses via Input Filtering
- Tighter Expected Generalization Error Bounds via Convexity of Information Measures
- A novel unsupervised covid lung lesion segmentation based on the lung tissue identification
- Pretraining without Wordpieces: Learning Over a Vocabulary of Millions of Words
- Testing Deep Learning Models: A First Comparative Study of Multiple Testing Techniques
- How reparametrization trick broke differentially-private text representation learning
- "splink" is happy and "phrouth" is scary: Emotion Intensity Analysis for Nonsense Words
- An Information-theoretical Approach to Semi-supervised Learning under Covariate-shift
- Temporal Convolution Domain Adaptation Learning for Crops Growth Prediction
All 184
- Optimal Convergence Rates of Deep Convolutional Neural Networks: Additive Ridge Functions
- Motion-driven Visual Tempo Learning for Video-based Action Recognition
- Prompt for Extraction? PAIE: Prompting Argument Interaction for Event Argument Extraction
- Light Robust Monocular Depth Estimation For Outdoor Environment Via Monochrome And Color Camera Fusion
- From Natural Language to Simulations: Applying GPT-3 Codex to Automate Simulation Modeling of Logistics Systems
- A Transformer-based Network for Deformable Medical Image Registration
- DeepFusionMOT: A 3D Multi-Object Tracking Framework Based on Camera-LiDAR Fusion with Deep Association
- Data variation-aware medical image segmentation
- KESA: A Knowledge Enhanced Approach For Sentiment Analysis
- SQuadMDS: a lean Stochastic Quartet MDS improving global structure preservation in neighbor embedding like t-SNE and UMAP
- Phrase-Based Affordance Detection via Cyclic Bilateral Interaction
- On The Effectiveness of One-Class Support Vector Machine in Different Defect Prediction Scenarios
- Activation Functions: Dive into an optimal activation function
- Interfering Paths in Decision Trees: A Note on Deodata Predictors
- AFFDEX 2.0: A Real-Time Facial Expression Analysis Toolkit
- Exploring the Unfairness of DP-SGD Across Settings
- Self-Training: A Survey
- Metacognitive Agents for Ethical Decision Support: Conceptual Model and Research Roadmap
- Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge
- Evolutionary Multi-Objective Reinforcement Learning Based Trajectory Control and Task Offloading in UAV-Assisted Mobile Edge Computing
- NoisyTune: A Little Noise Can Help You Finetune Pretrained Language Models Better
- Validating an SVM-based neonatal seizure detection algorithm for generalizability, non-inferiority and clinical efficacy
- Functional Classification of Bitcoin Addresses
- Counterfactual Explanations for Predictive Business Process Monitoring
- Learning to Merge Tokens in Vision Transformers
- A Fair Pricing Model via Adversarial Learning
- Parameterized Intractability for Multi-Winner Election under the Chamberlin-Courant Rule and the Monroe Rule
- IBIA: Bayesian Inference via Incremental Build-Infer-Approximate operations on Clique Trees
- Rare Gems: Finding Lottery Tickets at Initialization
- Effective Actor-centric Human-object Interaction Detection
- Predicting the impact of treatments over time with uncertainty aware neural differential equations
- Can deep neural networks learn process model structure? An assessment framework and analysis
- Fine-grained TLS services classification with reject option
- GIAOTracker: A comprehensive framework for MCMOT with global information and optimizing strategies in VisDrone 2021
- N-QGN: Navigation Map from a Monocular Camera using Quadtree Generating Networks
- Fully Self-Supervised Learning for Semantic Segmentation
- Impacts of Individual Fairness on Group Fairness from the Perspective of Generalized Entropy
- A general framework for adaptive two-index fusion attribute weighted naive Bayes
- Large Scale Passenger Detection with Smartphone/Bus Implicit Interaction and Multisensory Unsupervised Cause-effect Learning
- "Is not the truth the truth?": Analyzing the Impact of User Validations for Bus In/Out Detection in Smartphone-based Surveys
- Cognitive Semantic Communication Systems Driven by Knowledge Graph
- XAutoML: A Visual Analytics Tool for Understanding and Validating Automated Machine Learning
- SMILE: Sequence-to-Sequence Domain Adaption with Minimizing Latent Entropy for Text Image Recognition
- Domain Disentangled Generative Adversarial Network for Zero-Shot Sketch-Based 3D Shape Retrieval
- Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting
- Computer Aided Diagnosis and Out-of-Distribution Detection in Glaucoma Screening Using Color Fundus Photography
- Support Recovery in Mixture Models with Sparse Parameters
- Compositional Generalization Requires Compositional Parsers
- Word Segmentation on Discovered Phone Units with Dynamic Programming and Self-Supervised Scoring
- AutoCl : A Visual Interactive System for Automatic Deep Learning Classifier Recommendation Based on Models Performance
- Welcome to the Modern World of Pronouns: Identity-Inclusive Natural Language Processing beyond Gender
- Auto-scaling Vision Transformers without Training
- Threading the Needle of On and Off-Manifold Value Functions for Shapley Explanations
- Phase Continuity: Learning Derivatives of Phase Spectrum for Speech Enhancement
- Machine Learning for Intrusion Detection in Industrial Control Systems: Applications, Challenges, and Recommendations
- Interpolation-based Contrastive Learning for Few-Label Semi-Supervised Learning
- A Rigorous Study of Integrated Gradients Method and Extensions to Internal Neuron Attributions
- When Transformer Meets Robotic Grasping: Exploits Context for Efficient Grasp Detection
- Robust Probabilistic Time Series Forecasting
- Learning Program Synthesis for Integer Sequences from Scratch
- Uncertainty-driven Planner for Exploration and Navigation
- SLRNet: Semi-Supervised Semantic Segmentation Via Label Reuse for Human Decomposition Images
- An Efficient Binary Harris Hawks Optimization based on Quantum SVM for Cancer Classification Tasks
- Improving Robustness of Convolutional Neural Networks Using Element-Wise Activation Scaling
- Controlling Memorability of Face Images
- HMD-EgoPose: Head-Mounted Display-Based Egocentric Marker-Less Tool and Hand Pose Estimation for Augmented Surgical Guidance
- A spectral-spatial fusion anomaly detection method for hyperspectral imagery
- M2I: From Factored Marginal Trajectory Prediction to Interactive Prediction
- A Note on Machine Learning Approach for Computational Imaging
- New Benchmark for Household Garbage Image Recognition
- A Unified Framework for Campaign Performance Forecasting in Online Display Advertising
- No-Regret Learning in Games is Turing Complete
- CG-SSD: Corner Guided Single Stage 3D Object Detection from LiDAR Point Cloud
- Using calibrator to improve robustness in Machine Reading Comprehension
- Some Stylometric Remarks on Ovid's Heroides and the Epistula Sapphus
- Loss as the Inconsistency of a Probabilistic Dependency Graph: Choose Your Model, Not Your Loss Function
- Learning Multi-Object Dynamics with Compositional Neural Radiance Fields
- Attainability and Optimality: The Equalized Odds Fairness Revisited
- Robust Federated Learning with Connectivity Failures: A Semi-Decentralized Framework with Collaborative Relaying
- CAISE: Conversational Agent for Image Search and Editing
- First is Better Than Last for Language Data Influence
- DC and SA: Robust and Efficient Hyperparameter Optimization of Multi-subnetwork Deep Learning Models
- Explanatory Paradigms in Neural Networks
- Sky Computing: Accelerating Geo-distributed Computing in Federated Learning