Papers
Tue 8 Feb 2022
190 papers
- Competition-Level Code Generation with AlphaCodeLLM reasoning → Reasoning for agents, planning and code
- MaskGIT: Masked Generative Image TransformerWorld models → Video-generation world models and simulators
- Logical Reasoning for Task Oriented Dialogue SystemsLLM reasoning → Reasoning benchmarks and evaluation
- DALL-Eval: Probing the Reasoning Skills and Social Biases of Text-to-Image Generation ModelsLLM reasoning → Multimodal reasoning +1
- InferGrad: Improving Diffusion Models for Vocoder by Considering Inference in TrainingDiffusion models → Audio, speech and music
- Exploring Inter-Channel Correlation for Diversity-preserved KnowledgeDistillationKnowledge distillation → General knowledge distillation methods
- RNN Transducers for Nested Named Entity Recognition with constraints on alignment for long sequences
- Solving The Travelling Salesmen Problem using HNN and HNN-SA algorithms
- A multi-domain VNE algorithm based on multi-objective optimization for IoD architecture in Industry 4.0
- Convergence of a New Learning Algorithm
- Optimal Multi-Agent Path Finding for Precedence Constrained Planning Tasks
- Natural Language Proof Checking in Introduction to Proof Classes -- First Experiences with Diproche
- Rethinking Graph Convolutional Networks in Knowledge Graph Completion
- Enhancing ASR for Stuttered Speech with Limited Data Using Detect and Pass
- Robust, Deep, and Reinforcement Learning for Management of Communication and Power Networks
- Efficacy of Transformer Networks for Classification of Raw EEG Data
- Radar-based Materials Classification Using Deep Wavelet Scattering Transform: A Comparison of Centimeter vs. Millimeter Wave Units
- Design of Flexible Meander Line Antenna for Healthcare for Wireless Medical Body Area Networks
- DeepCENT: Prediction of Censored Event Time via Deep Learning
- Effective classification of ECG signals using enhanced convolutional neural network in IOT
- Deep learning for drug repurposing: methods, databases, and applications
- GrASP: Gradient-Based Affordance Selection for Planning
- Orthogonal Matrices for MBAT Vector Symbolic Architectures, and a "Soft" VSA Representation for JSON
- Unsupervised Time-Series Representation Learning with Iterative Bilinear Temporal-Spectral Fusion
- Spectral Propagation Graph Network for Few-shot Time Series Classification
- Boosting Graph Neural Networks by Injecting Pooling in Message Passing
- A Novel Encoder-Decoder Network with Guided Transmission Map for Single Image Dehazing
- Wireless Transmission of Images With The Assistance of Multi-level Semantic Information
- Analyzing Medical Data with Process Mining: a COVID-19 Case Study
- An Executable Formal Model of the VHDL in Isabelle/HOL
- FMP: Toward Fair Graph Message Passing against Topology Bias
- TransformNet: Self-supervised representation learning through predicting geometric transformations
- Crime Hot-Spot Modeling via Topic Modeling and Relative Density Estimation
- Federated Learning of Generative Image Priors for MRI Reconstruction
- Exploring the Limits of Domain-Adaptive Training for Detoxifying Large-Scale Language Models
- SwiftAgg: Communication-Efficient and Dropout-Resistant Secure Aggregation for Federated Learning with Worst-Case Security Guarantees
- Understanding the bias-variance tradeoff of Bregman divergences
- The Lifecycle of a Statistical Model: Model Failure Detection, Identification, and Refitting
- Multi-model Ensemble Analysis with Neural Network Gaussian Processes
- The Rate-Distortion-Perception Tradeoff: The Role of Common Randomness
- A Neural Phillips Curve and a Deep Output Gap
- Using a Language Model in a Kiosk Recommender System at Fast-Food Restaurants
- Simplified Graph Convolution with Heterophily
- Generative multitask learning mitigates target-causing confounding
- A Novel Ontology-guided Attribute Partitioning Ensemble Learning Model for Early Prediction of Cognitive Deficits using Quantitative Structural MRI in Very Preterm Infants
- Untrimmed Action Anticipation
- Independent Policy Gradient for Large-Scale Markov Potential Games: Sharper Rates, Function Approximation, and Game-Agnostic Convergence
- A Mini-Block Fisher Method for Deep Neural Networks
- IoT Malware Detection Architecture using a Novel Channel Boosted and Squeezed CNN
- Disentangle Saliency Detection into Cascaded Detail Modeling and Body Filling
- PGMax: Factor Graphs for Discrete Probabilistic Graphical Models and Loopy Belief Propagation in JAX
- Learning Similarity Metrics for Volumetric Simulations with Multiscale CNNs
- A Lagrangian Duality Approach to Active Learning
- Hierarchical Dependency Constrained Tree Augmented Naive Bayes Classifiers for Hierarchical Feature Spaces
- Teaching Networks to Solve Optimization Problems
- Face2PPG: An unsupervised pipeline for blood volume pulse extraction from faces
- Turnpike in optimal control of PDEs, ResNets, and beyond
- Machine Explanations and Human Understanding
- Joint-bone Fusion Graph Convolutional Network for Semi-supervised Skeleton Action Recognition
- Cross-level Contrastive Learning and Consistency Constraint for Semi-supervised Medical Image Segmentation
- The EMory BrEast imaging Dataset (EMBED): A Racially Diverse, Granular Dataset of 3.5M Screening and Diagnostic Mammograms
- Latent gaze information in highly dynamic decision-tasks
- Detecting and Localizing Copy-Move and Image-Splicing Forgery
- Time Series Anomaly Detection by Cumulative Radon Features
- Entrywise Recovery Guarantees for Sparse PCA via Sparsistent Algorithms
- PrivFair: a Library for Privacy-Preserving Fairness Auditing
- Integrating question answering and text-to-SQL in Portuguese
- Physics-informed neural networks for solving parametric magnetostatic problems
- Self-Conditioned Generative Adversarial Networks for Image Editing
- Residual Aligned: Gradient Optimization for Non-Negative Image Synthesis
- Self-supervised Contrastive Learning for Volcanic Unrest Detection
- Low-Rank Extragradient Method for Nonsmooth and Low-Rank Matrix Optimization Problems
- Local Linear Convergence of Gradient Methods for Subspace Optimization via Strict Complementarity
- NEWSKVQA: Knowledge-Aware News Video Question Answering
- Results and findings of the 2021 Image Similarity Challenge
- Improved Convergence Rates for Sparse Approximation Methods in Kernel-Based Learning
- Differentiable N-gram Objective on Abstractive Summarization
- Learning Sinkhorn divergences for supervised change point detection
- Equivariance versus Augmentation for Spherical Images
- Data Consistency for Weakly Supervised Learning
- CausPref: Causal Preference Learning for Out-of-Distribution Recommendation
- Provable Reinforcement Learning with a Short-Term Memory
- Transferable Student Performance Modeling for Intelligent Tutoring Systems
- Segmentation by Test-Time Optimization (TTO) for CBCT-based Adaptive Radiation Therapy
- Rainbow Differential Privacy
- Computing Rule-Based Explanations of Machine Learning Classifiers using Knowledge Graphs
- Self-supervised Contrastive Learning for Cross-domain Hyperspectral Image Representation
- Improving the Sample-Complexity of Deep Classification Networks with Invariant Integration
- Uncertainty Modeling for Out-of-Distribution Generalization
- Bingham Policy Parameterization for 3D Rotations in Reinforcement Learning
- From Generalisation Error to Transportation-cost Inequalities and Back
- Social-DualCVAE: Multimodal Trajectory Forecasting Based on Social Interactions Pattern Aware and Dual Conditional Variational Auto-Encoder
- Systematically and efficiently improving k-means initialization by pairwise-nearest-neighbor smoothing
- Spectral embedding and the latent geometry of multipartite networks
- Detecting Anomalies within Time Series using Local Neural Transformations
- Accelerometer-based Bed Occupancy Detection for Automatic, Non-invasive Long-term Cough Monitoring
- Are Transformers More Robust? Towards Exact Robustness Verification for Transformers
- If a Human Can See It, So Should Your System: Reliability Requirements for Machine Vision Components
- Distribution Regression with Sliced Wasserstein Kernels
- Learnings from Federated Learning in the Real world
All 190
- Edge-based fever screening system over private 5G
- KENN: Enhancing Deep Neural Networks by Leveraging Knowledge for Time Series Forecasting
- HALS: A Height-Aware Lidar Super-Resolution Framework for Autonomous Driving
- Verification-Aided Deep Ensemble Selection
- Learning MAX-SAT from Contextual Examples for Combinatorial Optimisation
- GraphDCA -- a Framework for Node Distribution Comparison in Real and Synthetic Graphs
- Robust Hybrid Learning With Expert Augmentation
- BIQ2021: A Large-Scale Blind Image Quality Assessment Database
- MixCycle: Unsupervised Speech Separation via Cyclic Mixture Permutation Invariant Training
- Learning Optical Flow with Adaptive Graph Reasoning
- Class Density and Dataset Quality in High-Dimensional, Unstructured Data
- Comparative Study Between Distance Measures On Supervised Optimum-Path Forest Classification
- MetaKG: Meta-learning on Knowledge Graph for Cold-start Recommendation
- A Unified Multi-Task Learning Framework of Real-Time Drone Supervision for Crowd Counting
- Width is Less Important than Depth in ReLU Neural Networks
- An Improved Analysis of Gradient Tracking for Decentralized Machine Learning
- TimeLMs: Diachronic Language Models from Twitter
- On the Pitfalls of Using the Residual Error as Anomaly Score
- skrl: Modular and Flexible Library for Reinforcement Learning
- A Novel Plug-in Module for Fine-Grained Visual Classification
- Optimal Transport of Classifiers to Fairness
- Learning to Predict Graphs with Fused Gromov-Wasserstein Barycenters
- Indy Autonomous Challenge -- Autonomous Race Cars at the Handling Limits
- Ada-NETS: Face Clustering via Adaptive Neighbour Discovery in the Structure Space
- What are the best systems? New perspectives on NLP Benchmarking
- Deep learning fluid flow reconstruction around arbitrary two-dimensional objects from sparse sensors using conformal mappings
- Counterfactual Multi-Token Fairness in Text Classification
- SCR: Smooth Contour Regression with Geometric Priors
- Addressing Data Scarcity in Multimodal User State Recognition by Combining Semi-Supervised and Supervised Learning
- Particle Transformer for Jet Tagging
- Impact of Parameter Sparsity on Stochastic Gradient MCMC Methods for Bayesian Deep Learning
- Modeling Structure with Undirected Neural Networks
- Time to Focus: A Comprehensive Benchmark Using Time Series Attribution Methods
- Practical Challenges in Differentially-Private Federated Survival Analysis of Medical Data
- Can We Generate Shellcodes via Natural Language? An Empirical Study
- Semantic features of object concepts generated with GPT-3
- STC: Spatio-Temporal Contrastive Learning for Video Instance Segmentation
- Consistency-Regularized Region-Growing Network for Semantic Segmentation of Urban Scenes with Point-Level Annotations
- A Survey of Breast Cancer Screening Techniques: Thermography and Electrical Impedance Tomography
- Navigating to Objects in Unseen Environments by Distance Prediction
- Cascaded Debiasing: Studying the Cumulative Effect of Multiple Fairness-Enhancing Interventions
- Computing H-Partitions in ASP and Datalog
- The Weights can be Harmful: Pareto Search versus Weighted Search in Multi-Objective Search-Based Software Engineering
- Cyrus 2D Simulation Team Description Paper 2016
- A two-step approach to leverage contextual data: speech recognition in air-traffic communications
- Hair Color Digitization through Imaging and Deep Inverse Graphics
- Binary Neural Networks as a general-propose compute paradigm for on-device computer vision
- What's Cracking? A Review and Analysis of Deep Learning Methods for Structural Crack Segmentation, Detection and Quantification
- Fourier Representations for Black-Box Optimization over Categorical Variables
- Budgeted Combinatorial Multi-Armed Bandits
- Self-Paced Imbalance Rectification for Class Incremental Learning
- Network Comparison Study of Deep Activation Feature Discriminability with Novel Objects
- Efficiently Escaping Saddle Points in Bilevel Optimization
- A Unified Prediction Framework for Signal Maps
- Quality Metric Guided Portrait Line Drawing Generation from Unpaired Training Data
- A Novel Image Descriptor with Aggregated Semantic Skeleton Representation for Long-term Visual Place Recognition
- Trained Model in Supervised Deep Learning is a Conditional Risk Minimizer
- Calibrated Learning to Defer with One-vs-All Classifiers
- APPFL: Open-Source Software Framework for Privacy-Preserving Federated Learning
- CAD-RADS Scoring using Deep Learning and Task-Specific Centerline Labeling
- How to Understand Masked Autoencoders
- Approximating Gradients for Differentiable Quality Diversity in Reinforcement Learning
- Linear Time Kernel Matrix Approximation via Hyperspherical Harmonics
- Causal Scene BERT: Improving object detection by searching for challenging groups of data
- NxtPost: User to Post Recommendations in Facebook Groups
- Contrastive predictive coding for Anomaly Detection in Multi-variate Time Series Data
- Boolean Observation Games
- Invertible Tabular GANs: Killing Two Birds with OneStone for Tabular Data Synthesis
- Multi-Agent Path Finding with Prioritized Communication Learning
- ECRECer: Enzyme Commission Number Recommendation and Benchmarking based on Multiagent Dual-core Learning
- Domain Adversarial Spatial-Temporal Network: A Transferable Framework for Short-term Traffic Forecasting across Cities
- Survey of Hallucination in Natural Language Generation
- Graph-Relational Domain Adaptation
- Bandit Sampling for Multiplex Networks
- On Unbalanced Optimal Transport: Gradient Methods, Sparsity and Approximation Error
- Towards Property-Based Tests in Natural Language
- Conformal Prediction Under Feedback Covariate Shift for Biomolecular Design
- HistBERT: A Pre-trained Language Model for Diachronic Lexical Semantic Analysis
- Do Language Models Learn Position-Role Mappings?
- PolicyCleanse: Backdoor Detection and Mitigation in Reinforcement Learning
- Penalizing Gradient Norm for Efficiently Improving Generalization in Deep Learning
- Local Explanations for Reinforcement Learning
- MOST-Net: A Memory Oriented Style Transfer Network for Face Sketch Synthesis
- Model and predict age and sex in healthy subjects using brain white matter features: A deep learning approach
- Nonmyopic Multiclass Active Search with Diminishing Returns for Diverse Discovery
- Fair SA: Sensitivity Analysis for Fairness in Face Recognition
- Multi-Label Classification of Thoracic Diseases using Dense Convolutional Network on Chest Radiographs
- Metal Artifact Reduction with Intra-Oral Scan Data for 3D Low Dose Maxillofacial CBCT Modeling
- Phase-Stretch Adaptive Gradient-Field Extractor (PAGE)
- Four Geometry Problems to Introduce Automated Deduction in Secondary Schools